A non-destructive method and device for determining the origin of black jadeite

Abstract

The present invention discloses a non-destructive origin identification method for black jadeite, comprising: generating Burmese black jadeite standard data and Guatemalan black jadeite standard data based on acquired Burmese and Guatemalan black jadeite finished product samples; based on the acquired black jadeite of unknown origin to be identified, testing the physical phase of its accessory minerals by using the first testing method on the black jadeite of unknown origin, and statistically analyzing the types and contents of the accessory minerals obtained in the test to obtain the accessory mineral data of black jadeite of unknown origin; analyzing the main mineral of the black jadeite of unknown origin by using the first analysis method and calculating and processing the Raman spectrum data to obtain the main mineral data of black jadeite of unknown origin; fusing the accessory mineral data of black jadeite of unknown origin with the main mineral data of black jadeite of unknown origin to obtain black jadeite data of unknown origin; and performing origin identification by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data.

Description

Technical Field

[0001] The present application relates to the technical field of black jadeite origin identification, and in particular to a method, device, computer equipment and storage medium for non-destructive origin identification of black jadeite. Background Art

[0002] Black jadeite is a type of jadeite, primarily composed of omphacite and possessing a fine, dense structure. Black jadeite doesn't refer solely to black jadeite. The definition requires that it appear black under natural light but dark green under transmitted light. Many people confuse black jadeite with another black jade variety, black jadeite, because black jadeite is also black in appearance and closely resembles black jadeite. Black jadeite with similar coloration includes common black Hetian jade, black obsidian, black Lantian jade, black agate, and black Xiuyan jade. However, black jadeite and black jadeite are two completely different concepts. Black jadeite is a type of jadeite, but its relative density and refractive index are higher than those of other common black jades. Its hardness ranges from 6 to 7, exceeding that of other common black jades, with the exception of black agate. Furthermore, black jadeite has a relatively high economic value among these black jades, and gem-grade black jadeite is almost exclusively mined in Myanmar and Guatemala.

[0003] While both Guatemala and Myanmar produce high-quality black jadeite, the price gap between similar-quality jadeite from the two origins is significant. Therefore, distinguishing between Burmese and Guatemalan black jadeite has become a new challenge for jadeite research. For the average consumer, it's difficult to verify the authenticity of jadeite origins listed by merchants. Even experienced professionals lack confidence in identifying mass-produced jadeite based on its color, structure, and other visual characteristics. Therefore, identifying the hallmarks of mass-produced jadeite through simple and reliable analytical methods is crucial.

[0004] Spectroscopic methods are widely used in precious stone research, such as phase identification, synthesis, optimization and treatment, identification of imitations, inclusion research, ion content detection and genesis analysis. Gemological and mineralogical research on black jadeite has also been carried out to some extent. However, to date, there have been relatively few studies based on spectroscopic methods on the identification of the origin of black jadeite from Guatemala and Myanmar, and no public reports have been published. Therefore, the field of jewelry identification technology urgently needs to develop a non-destructive method for identifying the origin of black jadeite. The method of the present invention for identifying the origin of black jadeite based on Raman spectroscopy can meet such requirements.

[0005] At present, the problems in identifying the origin of jadeite are:

[0006] (1) Among existing technologies, the origin identification of jadeite can be performed using rock microscopes, electron probes, laser ablation-infrared mass spectrometers, etc. However, these technologies either require high petrographic and theoretical knowledge of the operator, or the data processing is cumbersome and requires a professional mineralogical calculation foundation, or the data interpretation requires high professionalism and is difficult to promote.

[0007] (2) Testing methods such as rock and mineral microscopes, electron probes, and laser ablation-infrared mass spectrometry will damage the samples during the sample preparation process, such as grinding thin slices and probe slices. The electron probe also requires carbon coating.

[0008] (3) Electron probe and laser ablation-plasma mass spectrometers require calibration with standard samples during testing. Laser ablation-plasma mass spectrometers that test trace elements also require calibration with electron probe major element testing. Vacuuming is required during the test.

[0009] (4) Instruments such as electron probes and laser ablation-plasma mass spectrometers require point selection before testing. The testing time is too long, and it often takes at least one working day or even a week to receive data. Even if the data quality is found to be poor later, it is difficult to supplement the data.

[0010] (5) Analytical techniques such as electron probe and laser ablation-inductively coupled plasma mass spectrometry are very expensive. Summary of the Invention

[0011] Based on this, in order to address the above technical issues, a method, device, computer equipment and storage medium for non-destructive origin identification of black jadeite are provided.

[0012] In a first aspect, a non-destructive method for determining the origin of black jadeite is provided, the method comprising:

[0013] A. Building the Standard Model

[0014] We tested the known finished samples of Burmese and Guatemalan black jadeite to obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows:

[0015] The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer;

[0016] The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis;

[0017] The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite;

[0018] The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data;

[0019] The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data;

[0020] B. Determining the origin of black jadeite of unknown origin

[0021] Based on the acquired black jadeite of unknown origin to be identified; the physical phase of the accessory minerals of the black jadeite of unknown origin is tested by the first testing method, the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, and the difference in reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of black jadeite of unknown origin;

[0022] The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin;

[0023] The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin;

[0024] The origin is determined by comparing the data of black jadeite of unknown origin with the standard data of Burmese black jadeite and the standard data of Guatemalan black jadeite.

[0025] In the above solution, optionally, the first testing method is used to test the physical phase of the accessory minerals, specifically comprising:

[0026] Randomly select a 0.5*1.0cm area on the surface of the polished black jadeite sample, use a 10x objective lens, and use reflected light of 60% light source intensity at 50% brightness and contrast to obtain a microscopic reflection image, and set a grid pattern according to the proportion of the microscopic reflection image;

[0027] Calculate the number of grids occupied by a single specific accessory mineral and convert it into a percentage of the area of the grid map;

[0028] For accessory minerals with high reflectivity or crystallization or complex replacement history, it is necessary to change the brightness to 20% and the contrast to 80% to check whether there are more complex reflection patterns or other accessory minerals; the reflectivity is the ratio of reflected light to incident light;

[0029] Switch to the 50x objective, increase the contrast to 70%, and reduce the brightness to 30% to detect accessory minerals that have a similar reflectivity to the primary mineral.

[0030] In the above scheme, it is further optional that the first analysis is performed to analyze the main mineral by using a random sampling method to obtain the Raman spectrum of the main mineral; wherein the random sampling method is a method of extracting samples from the population according to a random principle, randomly selecting a polished surface, and using a line scanning method to perform a measurement point every 20 μm to select the Raman spectrum data of the main mineral.

[0031] In the above solution, further optionally, the computational processing of the Raman spectrum data specifically includes: removing the baseline and normalizing the Raman spectrum data, calibrating the characteristic peak positions, and extracting the main components.

[0032] In the above scheme, it is further optional that the origin identification is performed by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data:

[0033] According to the discriminant function:

[0034] y=(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

[0035] Calculate the Fisher discriminant score of the black jadeite data of unknown origin;

[0036] Where y is the calculated Fisher discriminant score, A, B, C, E, and H are located at 215 (A), 335 (B), and 370 (C) cm, respectively. -1 MO stretching vibration near 560(E)cm -1 O-Si-O bending vibration near 1020(H)cm -1 The wave number of the nearby Si-O symmetric stretching vibration;

[0037] Wherein, the positions at 215 (A), 335 (B) and 370 (C) cm -1 MO stretching vibration near 560(E)cm -1 O-Si-O bending vibration near 1020(H)cm -1The nearby Si-O symmetric stretching vibrations are strong and stable peaks in the Raman spectrum of the main minerals;

[0038] The Fisher discriminant score of the black jadeite data of unknown origin is compared with the function value at the centroid of the first category and the function value at the centroid of the second category; wherein, the function value at the centroid of the first category is obtained by evaluating the average value of the Guatemalan black jadeite standard data, and the function value at the centroid of the second category is obtained by evaluating the average value of the Burmese black jadeite standard data;

[0039] If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the first category, then the black jadeite of unknown origin is determined to be Guatemalan black jadeite;

[0040] If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the second category, then it is detected whether the accessory minerals in the black jadeite data of unknown origin contain accessory minerals with the characteristics of Guatemala origin. If so, the black jadeite of unknown origin is determined to be Guatemalan black jadeite. If not, the black jadeite of unknown origin is determined to be Burmese black jadeite.

[0041] In a second aspect, a non-destructive origin identification device for black jadeite is provided, the device comprising:

[0042] Model building module: used to test the known finished samples of Burmese and Guatemalan black jadeite, and obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows:

[0043] The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer;

[0044] The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis;

[0045] The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite;

[0046] The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data;

[0047] The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data;

[0048] Identification module: used for obtaining black jadeite of unknown origin to be identified; testing the physical phase of the accessory minerals of the black jadeite of unknown origin using the first testing method, distinguishing the accessory minerals according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, finding the accessory minerals in the black jadeite of unknown origin by utilizing the difference in reflectivity of different accessory mineral phases under reflected light, and statistically analyzing the types and contents of the accessory minerals obtained from the test to obtain the accessory mineral data of black jadeite of unknown origin;

[0049] The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin;

[0050] The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin;

[0051] The origin is determined by comparing the data of black jadeite of unknown origin with the standard data of Burmese black jadeite and the standard data of Guatemalan black jadeite.

[0052] According to a third aspect, a computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are performed:

[0053] A. Building the Standard Model

[0054] We tested the known finished samples of Burmese and Guatemalan black jadeite to obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows:

[0055] The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer;

[0056] The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis;

[0057] The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite;

[0058] The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data;

[0059] The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data;

[0060] B. Determining the origin of black jadeite of unknown origin

[0061] Based on the acquired black jadeite of unknown origin to be identified; the physical phase of the accessory minerals of the black jadeite of unknown origin is tested by the first testing method, the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, and the difference in reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of black jadeite of unknown origin;

[0062] The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin;

[0063] The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin;

[0064] The origin is determined by comparing the data of black jadeite of unknown origin with the standard data of Burmese black jadeite and the standard data of Guatemalan black jadeite.

[0065] In a fourth aspect, a computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the computer program implements the following steps:

[0066] A. Building the Standard Model

[0067] We tested the known finished samples of Burmese and Guatemalan black jadeite to obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows:

[0068] The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer;

[0069] The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis;

[0070] The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite;

[0071] The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data;

[0072] The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data;

[0073] B. Determining the origin of black jadeite of unknown origin

[0074] Based on the acquired black jadeite of unknown origin to be identified; the physical phase of the accessory minerals of the black jadeite of unknown origin is tested by the first testing method, the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, and the difference in reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of black jadeite of unknown origin;

[0075] The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin;

[0076] The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin;

[0077] The origin is determined by comparing the data of black jadeite of unknown origin with the standard data of Burmese black jadeite and the standard data of Guatemalan black jadeite.

[0078] The present invention has at least the following beneficial effects:

[0079] The present invention is based on further analysis and research of existing technical problems, and recognizes that in the existing technology, as long as the use of rock microscopes, electron probes, laser ablation-plasma mass spectrometers, etc. to identify the origin of jadeite, it either has high requirements on the operator's petrographic knowledge and theoretical knowledge background, or the data processing is cumbersome and requires a professional mineralogical calculation foundation, or the data interpretation has high professional requirements and is difficult to promote. The present invention designs a non-destructive origin identification method for black jadeite. By testing known finished samples of Burmese and Guatemalan black jadeite, standard data for Burmese black jadeite and standard data for Guatemalan black jadeite are obtained respectively. The testing process is as follows:

[0080] The phases of the accessory minerals of the finished Burmese and Guatemalan black jadeite samples were tested by the reflection method in a Raman spectrometer, and the types and contents of the accessory minerals obtained in the test were statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; Raman spectral analysis was performed on the main minerals in the finished Burmese and Guatemalan black jadeite samples, and the Raman spectral data were computationally processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite; the Burmese black jadeite accessory mineral data were fused with the Burmese black jadeite main mineral data to obtain the Burmese black jadeite standard data; the Guatemalan black jadeite accessory mineral data were fused with the Guatemalan black jadeite main mineral data to obtain the Guatemalan black jadeite standard data. The standard model was constructed through the above scheme.

[0081] The construction of the standard model is further based on the identification of the origin of black jadeite of unknown origin. The specific identification method is as follows:

[0082] Based on the acquired black jadeite of unknown origin to be identified; the black jadeite of unknown origin is tested for its accessory mineral phases by the reflection method in a Raman spectrometer, and the types and contents of the accessory minerals obtained from the test are statistically analyzed to obtain the accessory mineral data of the black jadeite of unknown origin; the main mineral in the black jadeite of unknown origin is subjected to Raman spectroscopy analysis, and the Raman spectroscopy data is computationally processed to obtain the main mineral data of the black jadeite of unknown origin; the accessory mineral data of the black jadeite of unknown origin is merged with the main mineral data of the black jadeite of unknown origin to obtain the black jadeite data of unknown origin; the origin is identified by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data. The present application gives full play to the role of the advanced technical means of laser Raman spectroscopy in the identification of jade mineral phases, and makes a comprehensive identification based on both the accessory minerals and the main minerals. This method does not require a complicated sample preparation process and is non-destructive. It also has the analytical advantages of being in situ, economical, easy to operate, short in measurement time and highly sensitive. Based on the analysis and processing of experimental data from Guatemalan and Burmese black jadeite samples, the accuracy rate of origin identification of the samples reached 100%, indicating that this method is effective, accurate, and highly applicable. The use of laser Raman spectroscopy to identify black jadeite has high test accuracy, simple operation, and short test time. It not only avoids the lossy and complex sample pretreatment process, but also reveals the relationship between the microscopic thermal evidence of black jadeite and the various minerals it contains, laying the foundation for studying the genesis and mineralization mechanism of black jadeite. It also provides an effective reference method for the standardization of the commercial circulation of black jadeite, which is of great significance for guiding the standardization of trade and value assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 A schematic flow chart of a method for non-destructive origin identification of black jadeite provided by one embodiment of the present invention;

[0084] Figure 2 A schematic diagram of a process for constructing a standard model according to an embodiment of the present invention;

[0085] Figure 3 A schematic diagram of a flow chart of a method for determining the origin of black jadeite of unknown origin provided by one embodiment of the present invention;

[0086] Figure 4 A schematic diagram of the detection principle of a non-destructive origin identification method for black jadeite provided in one embodiment of the present invention;

[0087] Figure 5 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0088] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0089] The present application provides a non-destructive method for determining the origin of black jadeite, in one embodiment, as Figure 1 As shown, a non-destructive method for determining the origin of black jadeite is provided, comprising the following steps:

[0090] A. Building the Standard Model

[0091] We tested the known finished samples of Burmese and Guatemalan black jadeite to obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows:

[0092] The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer;

[0093] Among them, the reflection method uses micro-Raman spectroscopy technology to distinguish different minerals according to their reflectivity and surface characteristics under reflected light, specifically including: randomly selecting a 0.5*1.0cm area on the surface of the polished jadeite sample, using a 10x objective lens, and using 60% of the light source intensity at 50% brightness and contrast to obtain a microscopic reflection image, and setting a grid map according to the proportion of the microscopic reflection image; calculating the number of grids occupied by a single specific accessory mineral, and converting it into a percentage of the area occupied by the grid map; for accessory minerals with high reflectivity or complex crystallization and replacement history, it is necessary to change the brightness to 20% and the contrast to 80% to check whether it has more complex reflection patterns or other accessory minerals; wherein, the reflectivity is the ratio of reflected light to incident light; switch to a 50x objective lens, increase the contrast to 70%, and reduce the brightness to 30% to detect accessory minerals with a reflectivity similar to that of the main mineral.

[0094] The reflectance method uses micro-Raman spectroscopy to distinguish minerals based on their reflectance and surface characteristics under reflected light. Reflectance is the ratio of reflected light to incident light. In a microscopic area, the microscope's light source is nearly parallel and normally illuminates the sample surface. The brightness of a mineral perceived by the human eye is the visual sensation of the light reflected from the mineral. Therefore, in addition to the medium, light source, incident and exit angles, and human visual variations, the brightness of a mineral under reflected light is primarily influenced by the mineral's reflectance and the polishing conditions of the mineral surface. Under similar polishing conditions, the higher the reflectance of a mineral, the stronger the light perceived by the human eye, and the mineral is perceived as brighter in reflected light. The shape, size, and contact relationships of different minerals can further estimate mineral content and structure. Mineral content was determined using a geometric quantitative estimation method based on microscopy and reflected light. First, a 0.5 x 1.0 cm area was selected on the polished surface. A grid was drawn according to the scale of the microscopic reflectance image. Then, the number of grid cells occupied by a specific mineral was observed and estimated, with the total field of view being 100%. This percentage was then converted to an area percentage. When a mineral is irregularly distributed within a rock, the area percentage measured on a two-dimensional plane can approximate its volume fraction. Our experiments have found that using a 10x objective lens, 50% brightness and contrast, and 60% light intensity, with a maximum light intensity of 100%, can distinguish most mineral phases. For minerals with high reflectivity or complex replacement histories, the brightness should be increased to 20% and the contrast to 80%, while maintaining the same light intensity, to examine more complex reflectance patterns or other phases. To identify accessory minerals with similar reflectivity to the primary mineral, the objective should be switched to a 50x objective lens, the contrast increased to 70%, and the software brightness reduced to 30%, while maintaining the same light intensity. Based on this method, Raman spectroscopy can better identify the type, content, and structure of minerals in rocks of various disciplines and accurately capture spectral differences among primary minerals. These differences can be further analyzed to reveal variations in the mineral's chemical composition and crystal structure. This expands the application of Raman spectroscopy and, to a certain extent, overcomes the limitations of non-destructive research systems.

[0095] Among them, the finished samples of Burmese and Guatemalan black jadeite meet the definition of black jadeite and have a well-polished surface. Known ways to obtain finished samples of Burmese and Guatemalan black jadeite include but are not limited to: commercial purchase, sample delivery from testing agencies, and sharing of scientific research samples. The samples are required to meet the definition of black jadeite, that is, they are mainly composed of omphacite, black under natural light or reflected light, and green under transmitted light. In addition, they are required to have a well-polished surface, and the vertical thickness of the plane where the polished surface is tested should not exceed 2 cm, so ring faces, bracelets, plaques, and small carvings can all be tested.

[0096] The main minerals of the finished products of Burmese and Guatemalan black jadeite are analyzed by a first analysis method respectively; wherein, the first analysis is a Raman spectrum analysis; and the Raman spectrum data are calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite;

[0097] Among them, the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite were tested by the reflection method in a Raman spectrometer, and the types and contents of the accessory minerals obtained from the test were statistically analyzed. The specific method was: the difference in reflectivity of different mineral phases under reflected light was used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types of accessory minerals were further determined by Raman spectroscopy, and the content and structure of each type of accessory minerals were statistically analyzed.

[0098] Among them, the Raman spectroscopy analysis of the main minerals in the finished samples of Burmese and Guatemalan black jadeite is carried out by adopting the random sampling method to obtain the Raman spectrum of the main minerals; among them, the random sampling method is a method of extracting samples from the population according to the random principle, randomly selecting the polishing surface, and using the line scanning method to perform a measurement point every 20μm to select the Raman spectroscopy data of the main mineral.

[0099] The Myanmar black jadeite accessory mineral data and the Myanmar black jadeite main mineral data are merged to obtain the Myanmar black jadeite standard data. The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data.

[0100] The computational processing of the Raman spectrum data specifically includes: removing the baseline and normalizing the Raman spectrum data, calibrating the characteristic peak positions, and extracting the main components.

[0101] Among them, the method for fusing the Burmese black jadeite's accessory mineral data with the Burmese black jadeite's main mineral data is to store the accessory mineral data and the main mineral data in the same table for easy subsequent identification and utilization.

[0102] Among them, the method for fusing the Guatemalan black jadeite's accessory mineral data with the Guatemalan black jadeite's main mineral data is to store the accessory mineral data and the main mineral data in the same table for easy subsequent identification and utilization.

[0103] B. Determining the origin of black jadeite of unknown origin

[0104] Based on the acquired black jadeite of unknown origin to be identified; the physical phase of the accessory minerals of the black jadeite of unknown origin is tested by the first testing method, the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, and the difference in reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of black jadeite of unknown origin;

[0105] Among them, the reflection method uses micro-Raman spectroscopy technology to distinguish different minerals according to their reflectivity and surface characteristics under reflected light, specifically including: randomly selecting a 0.5*1.0cm area on the surface of the polished jadeite sample, using a 10x objective lens, and using 60% of the light source intensity at 50% brightness and contrast to obtain a microscopic reflection image, and setting a grid map according to the proportion of the microscopic reflection image; calculating the number of grids occupied by a single specific accessory mineral, and converting it into a percentage of the area occupied by the grid map; for accessory minerals with high reflectivity or complex crystallization and replacement history, it is necessary to change the brightness to 20% and the contrast to 80% to check whether it has more complex reflection patterns or other accessory minerals; wherein, the reflectivity is the ratio of reflected light to incident light; switch to a 50x objective lens, increase the contrast to 70%, and reduce the brightness to 30% to detect accessory minerals with a reflectivity similar to that of the main mineral.

[0106] The reflectance method uses micro-Raman spectroscopy to distinguish minerals based on their reflectance and surface characteristics under reflected light. Reflectance is the ratio of reflected light to incident light. In a microscopic area, the microscope's light source is nearly parallel and normally illuminates the sample surface. The brightness of a mineral perceived by the human eye is the visual sensation of the light reflected from the mineral. Therefore, in addition to the medium, light source, incident and exit angles, and human visual variations, the brightness of a mineral under reflected light is primarily influenced by the mineral's reflectance and the polishing conditions of the mineral surface. Under similar polishing conditions, the higher the reflectance of a mineral, the stronger the light perceived by the human eye, and the mineral is perceived as brighter in reflected light. The shape, size, and contact relationships of different minerals can further estimate mineral content and structure. Mineral content was determined using a geometric quantitative estimation method based on microscopy and reflected light. First, a 0.5 x 1.0 cm area was selected on the polished surface. A grid was drawn according to the scale of the microscopic reflectance image. Then, the number of grid cells occupied by a specific mineral was observed and estimated, with the total field of view being 100%. This percentage was then converted to an area percentage. When a mineral is irregularly distributed within a rock, the area percentage measured on a two-dimensional plane can approximate its volume fraction. Our experiments have found that using a 10x objective lens, 50% brightness and contrast, and 60% light intensity, with a maximum light intensity of 100%, can distinguish most mineral phases. For minerals with high reflectivity or complex replacement histories, the brightness should be increased to 20% and the contrast to 80%, while maintaining the same light intensity, to examine more complex reflectance patterns or other phases. To identify accessory minerals with similar reflectivity to the primary mineral, the objective should be switched to a 50x objective lens, the contrast increased to 70%, and the software brightness reduced to 30%, while maintaining the same light intensity. Based on this method, Raman spectroscopy can better identify the type, content, and structure of minerals in rocks of various disciplines and accurately capture spectral differences among primary minerals. These differences can be further analyzed to reveal variations in the mineral's chemical composition and crystal structure. This expands the application of Raman spectroscopy and, to a certain extent, overcomes the limitations of non-destructive research systems.

[0107] The main mineral of the black jadeite of unknown origin is analyzed by a first analysis and the Raman spectrum data is calculated and processed to obtain the main mineral data of the black jadeite of unknown origin; the secondary mineral data of the black jadeite of unknown origin is merged with the main mineral data of the black jadeite of unknown origin to obtain the black jadeite data of unknown origin; and the origin is determined by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data.

[0108] The main minerals in the black jadeite of unknown origin are subjected to Raman spectroscopy analysis, and the Raman spectroscopy data are computationally processed to obtain the main mineral data of the black jadeite of unknown origin.

[0109] The Raman spectroscopy analysis of the main minerals in the finished samples of black jadeite of unknown origin adopts the random sampling method to obtain the Raman spectrum of the main minerals; wherein, the random sampling method is a method of extracting samples from the population according to the random principle, randomly selecting the polished surface, and using the line scanning method to measure one point every 20μm to select the Raman spectroscopy data of the main mineral. wherein, the computational processing of the Raman spectroscopy data specifically includes: removing the baseline and normalizing the Raman spectroscopy data, calibrating the characteristic peak position, and extracting the main component.

[0110] The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin;

[0111] Among them, the method for fusing the black jadeite's accessory mineral data of unknown origin with the black jadeite's main mineral data of unknown origin is to store the accessory mineral data and the main mineral data in the same table for easy identification and utilization later.

[0112] The origin is determined by comparing the data of black jadeite of unknown origin with the standard data of Burmese black jadeite and the standard data of Guatemalan black jadeite.

[0113] Among them, by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data, the origin is determined as follows:

[0114] According to the discriminant function:

[0115] y=(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

[0116] Calculate the Fisher discriminant score of the black jadeite data of unknown origin;

[0117] Where y is the calculated Fisher discriminant score, A, B, C, E, and H are located at 215 (A), 335 (B), and 370 (C) cm, respectively. -1 MO stretching vibration near 560(E)cm -1 O-Si-O bending vibration near 1020(H)cm -1 The wave number of the nearby Si-O symmetric stretching vibration;

[0118] Wherein, the positions at 215 (A), 335 (B) and 370 (C) cm -1 MO stretching vibration near 560(E)cm -1 O-Si-O bending vibration near 1020(H)cm -1 The nearby Si-O symmetric stretching vibrations are strong and stable peaks in the Raman spectrum of the main minerals;

[0119] The Fisher discriminant score of the black jadeite data of unknown origin is compared with the function value at the centroid of the first category and the function value at the centroid of the second category; wherein, the function value at the centroid of the first category is obtained by evaluating the average value of the Burmese black jadeite standard data, and the function value at the centroid of the second category is obtained by evaluating the average value of the Guatemalan black jadeite standard data;

[0120] If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the first category, then the black jadeite of unknown origin is determined to be Guatemalan black jadeite;

[0121] If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the second category, then it is detected whether the accessory minerals in the black jadeite data of unknown origin contain accessory minerals with the characteristics of Guatemala origin. If so, the black jadeite of unknown origin is determined to be Guatemalan black jadeite. If not, the black jadeite of unknown origin is determined to be Burmese black jadeite.

[0122] In one embodiment, this embodiment selects 8 groups of representative samples as examples, and uses the Raman peaks of 8 groups of relatively strong and stable peaks in the monoclinic pyroxene Raman spectrum to generate a linear discriminant (LDA) model to eliminate system noise and any changes generated during the sample characterization process. The extraction of characteristic peaks eliminates irrelevant variables and retains only the most representative chemical information in the spectral fingerprint area. These eight groups of Raman peaks are located at 215 (A), 335 (B) and 370 (C) cm -1 Nearby MO stretching vibration, 510 (D), 560 (E) cm -1 O-Si-O bending vibration near 690(F)cm -1 Si-O-Si symmetric stretching vibration, and 1010 (G) and 1020 (H) cm -1 Si-O symmetric stretching vibration nearby.

[0123] A discriminant model was generated using cross-validated LDA. Preprocessing and analysis were performed using OriginPro software, and statistical analysis was performed using SPSS software. A stepwise approach was used, with the grouping variable defined with a minimum value of 1 (representing the Guatemalan samples) and a maximum value of 2 (representing the Myanmar samples). A canonical discriminant function was obtained, with a cumulative percentage reaching 100.0% (Table 1).

[0124] Table 1 Eigenvalues

[0125]

[0126] a. The first canonical discriminant function was used in the analysis

[0127] Table 2 uses Wilk's Lambda to test the discriminant function obtained in Table 1. The significance level of the function is 0.000, and the impact on the model is significant.

[0128] Table 2 Wilk Lambda test

[0129]

[0130] Given the centroid of the discriminant function. After knowing the centroid of each class, we only need to find the discriminant score for each case to be judged, and then calculate which center the scatter points of the case are closest to to get the discrimination result of the case.

[0131] Table 3 Functions at the group centroid

[0132] Class Function 1 1 -0.972 2 0.972

[0133] Unstandardized canonical discriminant function evaluated at the group mean

[0134] In this example, the canonical discriminant function coefficients are shown in Table 4. These coefficients are the coefficients of the Fisher discriminant function, which can be used to calculate the Fisher score. Based on the means of each category given in Table 3, the weighted average of the two category means is used as the criterion point. The Fisher score is compared with the weighted average, and the closest result is the discriminant result for the point to be discriminated.

[0135] Table 4 Canonical discriminant function coefficients

[0136]

[0137] Unstandardized coefficients

[0138] According to the discriminant function coefficients in Table 4, the discriminant function can be obtained:

[0139] y=(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112

[0140] Where y is the calculated Fisher discriminant score, A, B, C, E, and H are located at 215 (A), 335 (B), and 370 (C) cm, respectively. -1 MO stretching vibration near 560(E)cm -1 O-Si-O bending vibration near 1020(H)cm -1 The wave number of Si-O symmetric stretching vibration near .

[0141] The classification results show that based on

[0142] Table 5 Classification results

[0143]

[0144]

[0145] a. 84.0% of the original grouped cases were correctly classified

[0146] The final discrimination result needs to comprehensively consider the discrimination results of the main mineral linear discrimination and the inclusion characteristics, and the inclusion discrimination result with origin characteristics has a higher priority. That is, the final judgment result of the jadeite that is judged to be of Guatemala origin during the principal component linear discrimination process can be judged as Guatemala, but the jadeite whose principal component discrimination result is Burmese jadeite still needs to be verified by the accessory mineral discrimination (Table 5). The accessory mineral linear discrimination can correctly identify 75% of Guatemalan jadeite, the principal component linear discrimination can correctly identify 84% of jadeite, and the combination of the two discriminations can accurately identify 100% of jadeite.

[0147]

[0148]

[0149] In one embodiment, finished black jadeite samples are collected, and the acquisition methods include but are not limited to: commercial purchase, sample delivery by testing institutions, sharing of scientific research samples, etc. The samples are required to meet the definition of black jadeite, that is, they are mainly composed of omphacite, black under natural light or reflected light, and green under transmitted light. In addition, they are required to have a good polished surface, and the vertical thickness of the plane where the tested polished surface is located should preferably not exceed 2 cm, so ring faces, bracelets, plaques, and small carvings can all be tested. Since high-quality black jadeite on the market almost all comes from Myanmar and Guatemala, the samples selected for the establishment of this method are 4 high-quality Guatemalan black jadeite plaques and 4 high-quality Burmese black jadeite plaques.

[0150] The difference in reflectivity of different mineral phases under reflected light is used to identify accessory minerals, and then Raman spectroscopy is used to determine the types of accessory minerals, and the content and structure of each type of accessory minerals are counted. This process does not require destructive processing of the sample, but the test surface must be kept clean. It can be thoroughly wiped and dried with alcohol cotton before testing. The test conditions are as follows: Raman spectroscopy is completed by combining a Horiba HR-Evolution micro-Raman spectrometer with an Olympus rock and mineral microscope. Under an excitation light source of 532nm (spot size of about 1μm), a 600g / mm holographic grating, a slit width of 100μm, and a spectral resolution of about 1cm -1 , scanning time 10s, cumulative scanning 5 times, test wave number range 100-4000cm -1 The Raman spectrum was obtained using a silicon wafer at 520.6 cm -1The characteristic peaks are calibrated. The benchmark for determining the origin of black jadeite based on the composition and content of accessory minerals is: Burmese black jadeite contains very few accessory minerals, while Guatemalan black jadeite contains 8vol.% to 23vol.% of accessory minerals. In order to fully characterize the universal characteristics of the main minerals in each sample, the random sampling method is used to obtain the Raman spectrum of the main minerals. The random sampling method is a method of extracting samples from the population according to the random principle. In this step, the specific operation of the random sampling method test is to randomly select the polished surface, and use the line scanning method to measure a point every 20μm to select the monoclinic pyroxene Raman spectrum data. The computer automatic control system completes the test. The tested Raman spectrum data are classified and screened, and the test points mixed with the characteristic peaks of accessory minerals are eliminated to avoid interference. Then, the Raman spectrum data are preprocessed, including baseline removal and normalization. All preprocessed data are then mapped, and the main characteristic peaks are extracted as the main components for discrimination. Finally, the origin is discriminated by linear discriminant analysis based on the eight main components. The eight principal components are eight groups of Raman peaks, namely 215, 335, 370 cm -1 Nearby MO stretching vibration mode, 560 cm -1 The O-Si-O bending vibration mode near 690 cm -1 The Si-O-Si symmetric stretching vibration mode near 1010 and 1020 cm -1 The Si-O symmetric stretching vibration mode near the surface of the sample was analyzed. Finally, a linear discriminant analysis was performed based on the eight principal components. The benchmark for determining the origin of black jadeite based on the Raman spectral characteristics of monoclinic pyroxene is the origin discrimination result of the linear discriminant analysis of samples of unknown origin based on the Raman spectral database of black jadeite of known origin, Guatemala and Myanmar.

[0151] Based on the acquired black jadeite of unknown origin to be identified; the physical phase of its accessory minerals is tested on the black jadeite of unknown origin by the reflection method in a Raman spectrometer, and the types and contents of the accessory minerals obtained from the test are counted to obtain the accessory mineral data of the black jadeite of unknown origin; Raman spectral analysis is performed on the main mineral in the black jadeite of unknown origin, and the Raman spectral data is calculated and processed to obtain the main mineral data of the black jadeite of unknown origin; the accessory mineral data of the black jadeite of unknown origin is merged with the main mineral data of the black jadeite of unknown origin to obtain the black jadeite data of unknown origin; the origin is identified by comparing the black jadeite data of unknown origin with the Burmese black jadeite data and the Guatemalan black jadeite data.

[0152] Among them, the finished samples of Burmese and Guatemalan black jadeite meet the definition of black jadeite and have a well-polished surface. The black jadeite of unknown origin is tested for the physical phase of its accessory minerals by the reflection method in a Raman spectrometer, and the types and contents of the accessory minerals obtained from the test are statistically analyzed to obtain the accessory mineral data of the black jadeite of unknown origin. The specific method is: using the difference in reflectivity of different mineral phases under reflected light to find the accessory minerals in the black jadeite of unknown origin, further using Raman spectroscopy to determine the types of accessory minerals, and statistically analyzing the content and structure of each type of accessory minerals. Raman spectroscopy analysis of the main minerals in the black jadeite of unknown origin adopts a random sampling method to obtain the Raman spectrum of the main minerals. The computational processing of the Raman spectral data specifically includes: removing the baseline and normalizing the Raman spectral data, calibrating the position of the characteristic peaks, and extracting the main components. By comparing the black jadeite data of unknown origin with the Burmese black jadeite data and Guatemalan black jadeite data, the origin is determined specifically as follows: by comparing the differences in the composition and ingredients of the accessory minerals and main minerals in the black jadeite of unknown origin with the Burmese black jadeite data and Guatemalan black jadeite data, the Burmese or Guatemalan black jadeite can be finally identified.

[0153] In the above-mentioned method for non-destructive origin identification of black jadeite, finished samples of Burmese and Guatemalan black jadeite are obtained to generate Burmese black jadeite data and Guatemalan black jadeite data, based on the obtained black jadeite of unknown origin to be identified; the black jadeite of unknown origin is tested for the physical phase of its accessory minerals by the reflection method in a Raman spectrometer, and the types and contents of the accessory minerals obtained in the test are statistically analyzed to obtain the accessory mineral data of black jadeite of unknown origin; the main mineral in the black jadeite of unknown origin is subjected to Raman spectroscopy analysis, and the Raman spectroscopy data is computationally processed to obtain the main mineral data of black jadeite of unknown origin; the accessory mineral data of black jadeite of unknown origin is fused with the main mineral data of black jadeite of unknown origin to obtain black jadeite data of unknown origin; and the origin is identified by comparing the black jadeite data of unknown origin with the Burmese black jadeite data and the Guatemalan black jadeite data. The advanced technical means of laser Raman spectroscopy is fully utilized in the identification of jade mineral phases, and comprehensive identification is carried out based on both accessory minerals and main minerals. This method does not require a complicated sample preparation process and is non-destructive. It also has analytical advantages such as being in situ, economical, easy to operate, short measurement time, and high sensitivity. Based on the analysis and processing of experimental data from Guatemalan and Burmese black jadeite samples, the accuracy of sample origin identification reached 100%, indicating that this method is effective, accurate, and highly applicable. The use of laser Raman spectroscopy to identify black jadeite has high test accuracy, simple operation, and short test time. It not only avoids destructive and complex sample pretreatment processes, but also reveals the relationship between the microscopic thermal evidence of black jadeite and the various minerals it contains, laying the foundation for studying the genesis and mineralization mechanism of black jadeite. It also provides an effective reference method for the standardization of commercial circulation of black jadeite, which is of great significance in guiding commercial standardization and value assessment.

[0154] It should be understood that although Figure 1 The steps in the flowchart are shown in sequence as indicated by the arrows, but these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified in this document, there is no strict order restriction for the execution of these steps, and these steps can be executed in other orders. In addition, Figure 1 At least part of the steps may include multiple steps or multiple stages. These steps or stages are not necessarily performed at the same time, but can be performed at different times. The order of execution of these steps or stages is not necessarily one by one, but can be performed in turn or alternately with other steps or at least part of the steps or stages in other steps.

[0155] Raman spectroscopy is often used to identify phases, but quantitative phase content and distribution analysis combined with reflected light has not received sufficient attention. In addition, in the Raman spectroscopy research of jadeite, it is often limited to the identification of mineral types, and its more detailed isomorphic substitution relationship has not been deeply studied. In view of the shortcomings of existing Raman spectroscopy technology in application, the present invention provides a method for identifying the origin of black jadeite based on Raman spectroscopy. The present invention is described in detail below with reference to the accompanying drawings.

[0156] The present invention is based on the advantage of using the reflection method in rock and mineral microscopes to often determine the type and content of metal minerals. It proposes to combine the reflectivity differences of different phases under reflected light in Raman spectroscopy to identify, count the content and observe the structure of most metal and non-metal phases, which greatly expands the application range of Raman spectroscopy. The intensity of the Raman spectrum is affected by conditions such as the intensity of the light source, the focus of the sample and the polishing condition, but the Raman shift of the sample can accurately reveal the characteristics of each phase. Therefore, Raman spectroscopy can be used to identify the accessory mineral phases of black jadeite from different origins, and then compared with the origin characteristics to determine the origin of unknown samples. In addition, Raman spectroscopy can also reveal the composition and structural changes brought about by mineral isomorphism. Therefore, Raman spectroscopy can be used to detect the main minerals of black jadeite from unknown origins and determine its origin.

[0157] Existing technologies typically rely on rock microscopes, electron probes, and laser ablation-plasma mass spectrometers (LAPMS) to identify jadeite's origin. These techniques require a high level of petrographic and theoretical knowledge, are cumbersome to process data, and require a specialized foundation in mineralogical calculations. Furthermore, data interpretation requires a high level of expertise, making them difficult to scale. Rock microscopes, electron probes, and LAPMS testing all damage samples during sample preparation, such as by grinding thin sections and probes. Electron probes also require carbon coating. Electron probes and LAPMS require calibration with standard samples. LAPMS testing for trace elements requires prior calibration with electron probe testing for major elements. Vacuuming is required during testing. Electron probes and LAPMS require pre-selected locations for testing, leading to lengthy testing times, often requiring at least one working day or even a week to receive data. Even if data quality is later determined to be poor, it can be difficult to recover the data.

[0158] The Raman spectroscopy technique used in this embodiment is a non-destructive testing technology that requires almost no pre-treatment of the sample, making it more suitable for jadeite with very high economic value, such as black jade. Raman spectroscopy does not require standard samples or vacuum, making it more convenient. Raman spectroscopy can obtain real-time data quickly and efficiently. Analytical techniques such as electron probes and laser ablation-inductively coupled plasma mass spectrometry are very expensive. In comparison, the cost of Raman spectroscopy is much lower.

[0159] As a testing instrument that can quickly obtain Raman spectra, the Raman spectrometer can meet the in-situ micro-area testing requirements of black jadeite samples and the need to quickly obtain data. It has a sensitive response to the identification of silicate minerals and the isomorphous substitution of the same minerals. Therefore, it is feasible to use Raman spectroscopy to develop a method for identifying the origin of black jadeite. Raman spectroscopy analysis technology has the advantages of being fast, convenient, and non-destructive. As a mineral aggregate, black jadeite fully utilizes the advantages of Raman spectroscopy in phase identification, and can meet the needs of rapid identification of mineral types and isomorphs. It not only avoids damage to the sample, but also improves the test efficiency, saves manpower and material resources, and has significant application prospects and economic benefits.

[0160] In one embodiment, a non-destructive origin identification device for black jadeite is provided, comprising the following program modules:

[0161] Model building module: used to test the known finished samples of Burmese and Guatemalan black jadeite, and obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows:

[0162] The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer;

[0163] The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis;

[0164] The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite;

[0165] The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data;

[0166] The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data;

[0167] Identification module: used for obtaining black jadeite of unknown origin to be identified; testing the physical phase of the accessory minerals of the black jadeite of unknown origin using the first testing method, distinguishing the accessory minerals according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, finding the accessory minerals in the black jadeite of unknown origin by utilizing the difference in reflectivity of different accessory mineral phases under reflected light, and statistically analyzing the types and contents of the accessory minerals obtained from the test to obtain the accessory mineral data of black jadeite of unknown origin;

[0168] The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin;

[0169] The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin;

[0170] The origin is determined by comparing the data of black jadeite of unknown origin with the standard data of Burmese black jadeite and the standard data of Guatemalan black jadeite.

[0171] For the specific definition of the device for non-destructive origin identification of black jadeite, please refer to the definition of the method for non-destructive origin identification of black jadeite mentioned above, which will not be repeated here. Each module in the above-mentioned device for non-destructive origin identification of black jadeite can be implemented in whole or in part by software, hardware and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0172] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, memory, communication interface, display screen and input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, operator network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for non-destructive origin identification of black jadeite is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad provided on the computer device housing, or an external keyboard, touchpad or mouse.

[0173] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0174] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, which involves all or part of the processes in the above-mentioned embodiment method.

[0175] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored, which involves all or part of the processes in the above-mentioned embodiment method.

[0176] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0177] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0178] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A non-destructive method for determining the origin of black jadeite, characterized in that: The method comprises: A. Building the Standard Model We tested the known finished samples of Burmese and Guatemalan black jadeite to obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows: The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer; The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis; The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite; The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data; The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data; B. Determining the origin of black jadeite of unknown origin Based on the acquired black jadeite of unknown origin to be identified; the physical phase of the accessory minerals of the black jadeite of unknown origin is tested by the first testing method, the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, and the difference in reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of black jadeite of unknown origin; The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin; The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin; The origin of the jadeite is determined by comparing the data of the unknown origin of the jadeite with the standard data of Burmese jadeite and the standard data of Guatemalan jadeite; The origin is determined by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data, specifically: According to the discriminant function: y=(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112 Calculate the Fisher discriminant score of the black jadeite data of unknown origin; Where y is the calculated Fisher discriminant score, A, B, C, E, and H are located at 215 (A), 335 (B), and 370 (C) cm, respectively. -1 Nearby M—O stretching vibration, 560(E)cm -1 O—Si—O bending vibration near 1020(H)cm -1 The wave number of the nearby Si—O symmetric stretching vibration; Wherein, the positions at 215 (A), 335 (B) and 370 (C) cm -1 Nearby M—O stretching vibration, 560(E)cm -1 O—Si—O bending vibration near 1020(H)cm -1 The nearby Si—O symmetric stretching vibrations are strong and stable peaks in the Raman spectrum of the main minerals; Compare the Fisher discriminant score of the black jadeite data of unknown origin with the function value at the centroid of the first category and the function value at the centroid of the second category; wherein, the function value at the centroid of the first category is the weighted average position of the discrimination score of the Guatemalan black jadeite standard data, and the function value at the centroid of the second category is the weighted average position of the discrimination score of the Burmese black jadeite; If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the first category, then the black jadeite of unknown origin is determined to be Guatemalan black jadeite; If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the second category, then it is detected whether the accessory minerals in the black jadeite data of unknown origin contain accessory minerals with the characteristics of Guatemala origin. If so, the black jadeite of unknown origin is determined to be Guatemalan black jadeite. If not, the black jadeite of unknown origin is determined to be Burmese black jadeite.

2. The method according to claim 1, characterized in that The first testing method is used to test the physical phase of the accessory minerals, specifically comprising: A 0.5*1.0cm area was randomly selected on the surface of a well-polished black jadeite sample. A microscopic reflection image was obtained using a 10x objective lens at 50% brightness and contrast, and a reflected light source with 60% light intensity. A grid consisting of 100 grids of the same size was drawn in the microscopic reflection image to set up a statistical grid map. Calculate the number of grids occupied by a single specific accessory mineral and convert it into a percentage of the area of the grid map; For accessory minerals with high reflectivity or crystallization or complex replacement history, it is necessary to change the brightness to 20% and the contrast to 80% to check whether there are more complex reflection patterns or other accessory minerals; the reflectivity is the ratio of reflected light to incident light; Switch to the 50x objective, increase the contrast to 70%, and reduce the brightness to 30% to detect accessory minerals that have a similar reflectivity to the primary mineral.

3. The method according to claim 1, characterized in that The first analysis is to analyze the main mineral by using a random sampling method to obtain the Raman spectrum of the main mineral; wherein the random sampling method is a method of extracting samples from the population according to a random principle, randomly selecting a polished surface, and using a line scanning method to perform a measurement point every 20 μm to obtain Raman spectrum data of the main mineral.

4. The method according to claim 1, wherein The computational processing of the Raman spectrum data specifically includes: removing the baseline and normalizing the Raman spectrum data, calibrating the characteristic peak positions, and extracting the main components.

5. A non-destructive origin identification device for black jadeite, characterized in that: The device comprises: Model building module: used to test the known finished samples of Burmese and Guatemalan black jadeite, and obtain the standard data of Burmese black jadeite and Guatemalan black jadeite respectively. The testing process is as follows: The first testing method is used to test the physical phases of the accessory minerals of the finished samples of Burmese and Guatemalan black jadeite respectively, and the accessory minerals are distinguished according to the reflectivity of different accessory minerals and the surface characteristics under reflected light. The difference in the reflectivity of different accessory mineral phases under reflected light is used to find the accessory minerals in the finished samples of Burmese and Guatemalan black jadeite, and the types and contents of the accessory minerals obtained in the tests are statistically analyzed to obtain the accessory mineral data of Burmese black jadeite and the accessory mineral data of Guatemalan black jadeite; wherein, the first testing method is to adopt the reflection method in a Raman spectrometer; The main minerals of the finished jadeite samples from Myanmar and Guatemala are analyzed by a first analysis method; wherein the first analysis method is Raman spectroscopy analysis; The Raman spectrum data is calculated and processed to obtain the main mineral data of Burmese black jadeite and the main mineral data of Guatemalan black jadeite; The Burmese black jadeite accessory mineral data and the Burmese black jadeite main mineral data are merged to obtain the Burmese black jadeite standard data; The Guatemalan black jadeite accessory mineral data and the Guatemalan black jadeite main mineral data are merged to obtain the Guatemalan black jadeite standard data; Identification module: used for obtaining black jadeite of unknown origin to be identified; testing the physical phase of the accessory minerals of the black jadeite of unknown origin using the first testing method, distinguishing the accessory minerals according to the reflectivity of different accessory minerals and the surface characteristics under reflected light, finding the accessory minerals in the black jadeite of unknown origin by utilizing the difference in reflectivity of different accessory mineral phases under reflected light, and statistically analyzing the types and contents of the accessory minerals obtained from the test to obtain the accessory mineral data of black jadeite of unknown origin; The main minerals of the black jadeite of unknown origin are analyzed by the first analysis method and the Raman spectrum data are processed to obtain the main mineral data of the black jadeite of unknown origin; The black jadeite accessory mineral data of unknown origin is merged with the black jadeite main mineral data of unknown origin to obtain the black jadeite data of unknown origin; The origin of the jadeite is determined by comparing the data of the unknown origin of the jadeite with the standard data of Burmese jadeite and the standard data of Guatemalan jadeite; The origin is determined by comparing the black jadeite data of unknown origin with the Burmese black jadeite standard data and the Guatemalan black jadeite standard data, specifically: According to the discriminant function: y=(-0.092)*A+0.043*B+0.058*C+0.172*E-0.221*H+112.112 Calculate the Fisher discriminant score of the black jadeite data of unknown origin; Where y is the calculated Fisher discriminant score, A, B, C, E, and H are located at 215 (A), 335 (B), and 370 (C) cm, respectively. -1 Nearby M—O stretching vibration, 560(E)cm -1 O—Si—O bending vibration near 1020(H)cm -1 The wave number of the nearby Si—O symmetric stretching vibration; Wherein, the positions at 215 (A), 335 (B) and 370 (C) cm -1 Nearby M—O stretching vibration, 560(E)cm -1 O—Si—O bending vibration near 1020(H)cm -1 The nearby Si—O symmetric stretching vibrations are strong and stable peaks in the Raman spectrum of the main minerals; Compare the Fisher discriminant score of the black jadeite data of unknown origin with the function value at the centroid of the first category and the function value at the centroid of the second category; wherein, the function value at the centroid of the first category is the weighted average position of the discrimination score of the Guatemalan black jadeite standard data, and the function value at the centroid of the second category is the weighted average position of the discrimination score of the Burmese black jadeite; If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the first category, then the black jadeite of unknown origin is determined to be Guatemalan black jadeite; If the Fisher discriminant score of the black jadeite data of unknown origin is closer to the function value at the centroid of the second category, then it is detected whether the accessory minerals in the black jadeite data of unknown origin contain accessory minerals with the characteristics of Guatemala origin. If so, the black jadeite of unknown origin is determined to be Guatemalan black jadeite. If not, the black jadeite of unknown origin is determined to be Burmese black jadeite.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 4 are implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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