Nut production place tracing method and system based on feature fingerprints

Abstract

The invention relates to the technical field of traceability identification, in particular to a nut producing area traceability method and system based on feature fingerprints, and the method comprises the steps: obtaining a plurality of to-be-detected samples, and detecting the to-be-detected nut quality of each to-be-detected sample; judging whether the quality of the to-be-detected sample meets the standard or not to obtain a standard to-be-detected sample; obtaining the nutshell thickness and pulp hardness coefficient of the standard to-be-detected sample; calculating a nutshell deviation ratio and a pulp deviation ratio; comparing the comprehensive deviation proportion with a preset standard deviation proportion; and selecting the nut pulp of the standard to-be-detected sample with the minimum comprehensive deviation ratio for nuclear magnetic resonance. According to the method, the nut quality is strictly screened, the sample representativeness of subsequent analysis is ensured, the comprehensive deviation proportion is calculated, the sample closest to the standard is accurately positioned, the sample with the minimum comprehensive deviation proportion is selected for nuclear magnetic resonance analysis, and the nut producing area is accurately compared and accurately determined from the microcosmic molecule level; and the identification accuracy and efficiency of the origin traceability are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of traceability identification, and in particular to a method and system for tracing the origin of nuts based on characteristic fingerprints. Background Art

[0002] In recent years, as consumers pay more and more attention to food safety and quality, the origin traceability of food has gradually become the focus of the industry. Walnut is an excellent dried fruit food containing protein, cellulose, vitamins, fat and other nutrients. It is very nutritious, easy to digest and absorb, and has certain medicinal value. It is known as one of the four major dried fruits in the world and is an important agricultural product resource in my country. Its rich nutrients and health benefits are widely welcomed. Therefore, accurate identification of the origin is of great significance to ensuring product quality, safeguarding consumer rights and enhancing brand reputation.

[0003] At present, some researchers have conducted traceability research on the origin of walnuts by using near-infrared, mid-infrared and elemental analysis, but a single detection method is often difficult to fully reflect the characteristics of walnuts, and the operation is complicated, the traceability efficiency is low and the cost is high.

[0004] The patent document with publication number CN107037039A discloses a method for tracing the origin of walnuts in Xinjiang. The method collects walnuts from Hotan, Kashgar and Aksu areas of Xinjiang as research objects, applies multiple techniques such as near-infrared spectroscopy analysis, mid-infrared spectroscopy analysis and elemental determination analysis, and combines the PLSDA method and variance analysis to distinguish walnuts from different origins in Xinjiang.

[0005] This shows the following problem: In the prior art, the traceability method for nuts has a single inspection feature and is costly and inefficient. Summary of the invention

[0006] To this end, the present invention provides a method and system for tracing the origin of nuts based on characteristic fingerprints, which is used to comprehensively analyze and screen the characteristics of nuts for molecular detection by combining multiple physical parameters to overcome the problems of single inspection characteristics, high cost and low efficiency of the prior art traceability methods for nuts.

[0007] To achieve the above object, the present invention provides a method and system for tracing the origin of nuts based on feature fingerprints, comprising:

[0008] Step S1, obtaining a number of samples to be tested from the nuts to be tested, and detecting the quality of the nuts to be tested of each sample to be tested;

[0009] Step S2, comparing the mass of the nuts to be tested of any sample to be tested with the mass range of standard nuts to determine whether the mass of the sample to be tested meets the standard, so as to obtain a standard sample to be tested;

[0010] Step S3, obtaining the nut shell thickness and the pulp hardness coefficient of the standard sample to be tested;

[0011] Step S4, calculating the nutshell thickness and the standard nutshell thickness, and calculating the pulp hardness coefficient and the standard pulp hardness coefficient, and obtaining the corresponding nutshell deviation ratio and pulp deviation ratio respectively;

[0012] Step S5, calculating a comprehensive deviation ratio according to the nut shell deviation ratio and the pulp deviation ratio, and comparing the comprehensive deviation ratio with a preset standard deviation ratio to obtain a comparison result, and judging whether the standard sample to be tested meets the standard based on the comparison result, if any of the standard sample to be tested meets the standard, proceeding to step S6;

[0013] Step S6, selecting the nut pulp of the standard sample to be tested with the smallest comprehensive deviation ratio to perform nuclear magnetic resonance to obtain a molecular structure fingerprint spectrum, and comparing the molecular structure fingerprint spectrum with a preset standard fingerprint spectrum to determine whether the origin of the nuts to be tested is the target origin.

[0014] Furthermore, in the step S3, it includes:

[0015] Step S31, selecting a point at the same position of the standard sample to be tested and vertically cutting the standard sample to be tested into two parts from this point to obtain a nut shell and a pulp;

[0016] Step S32, obtaining the thickness of the two parts of the nutshell at the cutting point after cutting, and calculating the average thickness of the two thicknesses to obtain the thickness of the nutshell;

[0017] Step S33, applying pressure to the two parts of the cut flesh respectively and detecting in real time whether cracks are generated therein, and when cracks are generated, determining the applied pressures respectively and calculating the average pressure as the flesh hardness coefficient.

[0018] Furthermore, in the step S5, it includes:

[0019] Step S51, assigning weights to the nut shell deviation ratio and the pulp deviation ratio, and performing weighted calculation to obtain the comprehensive deviation ratio;

[0020] Step S52, comparing the comprehensive deviation ratio with the standard deviation ratio to obtain a comparison result, and judging whether the standard sample meets the standard according to the comparison result, wherein:

[0021] If the comprehensive deviation ratio is greater than the standard deviation ratio, it is judged that the standard sample to be tested does not meet the standard;

[0022] If the comprehensive deviation ratio is less than or equal to the standard deviation ratio, it is determined that the standard sample to be tested meets the standard.

[0023] Furthermore, in step S52, if all the standard samples to be tested do not meet the standards, it is determined that the origin of the nuts to be tested is not the target origin.

[0024] Furthermore, in step S6, it includes:

[0025] Step S61, comparing the comprehensive deviation ratios of the standard samples to be tested that meet the standards;

[0026] Step S62, selecting the nut pulp of the sample to be tested with the smallest comprehensive deviation ratio, drying and grinding it to obtain a powder sample;

[0027] Step S63, using a nuclear magnetic resonance instrument to scan the powder sample to obtain a molecular structure fingerprint spectrum;

[0028] Step S64, comparing the molecular structure fingerprint spectrum with the standard fingerprint spectrum, and determining whether the origin of the nuts to be tested is the target origin based on the comparison result.

[0029] Furthermore, in step S64, the specific steps of comparing the molecular structure fingerprint spectrum with the standard fingerprint spectrum include:

[0030] Compare the peak positions of the obtained molecular structure fingerprint spectrum with the standard fingerprint spectrum;

[0031] Calculate the spectrogram similarity;

[0032] When the similarity is greater than a preset similarity, it is determined whether the origin of the nuts to be tested is the target origin.

[0033] Furthermore, in step S1, it includes:

[0034] Step S11, sampling and selecting a number of samples to be tested from the nuts to be tested;

[0035] Step S12, placing the sample to be tested in a constant temperature and humidity environment for pretreatment for 24 hours;

[0036] Step S13, after the preprocessing is completed, the nut quality of each of the samples to be tested is detected.

[0037] Furthermore, the process of judging whether the quality of the sample to be tested meets the standard in step S2 includes:

[0038] If the mass of the nuts to be tested is within the mass range of the standard nuts, then the mass is judged to meet the standard;

[0039] If the mass of the nuts to be tested exceeds the mass range of the standard nuts, it is determined that the mass does not meet the standard.

[0040] Furthermore, in step S4, the nut shell deviation ratio is obtained by dividing the absolute value of the difference between the nut shell thickness and the standard nut shell thickness by the standard nut shell thickness, and the flesh deviation ratio is obtained by dividing the absolute value of the difference between the flesh hardness coefficient and the standard flesh hardness coefficient by the standard flesh hardness coefficient.

[0041] The present invention also provides a nut origin tracing system based on characteristic fingerprints applicable to any one of the above control methods, comprising:

[0042] A sampling module, used for obtaining a number of samples to be tested from the nuts to be tested;

[0043] A quality detection module, used to detect the nut quality of each sample to be tested, and compare the nut quality of the sample to be tested with the standard nut quality range, and determine whether the quality of the sample to be tested meets the standard based on the comparison result;

[0044] A parameter detection module is used to cut a standard sample to be tested that meets the quality standards to obtain nut shells and pulp, and to detect the thickness of the nut shell and the hardness coefficient of the pulp;

[0045] A deviation calculation module, used to calculate the nut shell deviation ratio and the pulp deviation ratio, and to calculate the comprehensive deviation ratio;

[0046] A comparison module is used to compare the comprehensive deviation ratio with the preset standard deviation ratio to determine whether the standard sample to be tested meets the standard;

[0047] The judgment module is used to obtain the molecular structure fingerprint spectrum of the standard sample to be tested with the smallest comprehensive deviation ratio, and to compare the molecular structure fingerprint spectrum with the standard fingerprint spectrum, and determine whether the origin of the nuts to be tested is the target origin based on the comparison result.

[0048] Compared with the prior art, the beneficial effect of the present invention lies in that a comprehensive and systematic origin feature identification system is constructed through multi-dimensional indicators such as nut quality, shell thickness and flesh hardness coefficient, which greatly improves the accuracy and reliability of traceability. First, through strict screening of nut quality, the representativeness and reliability of samples for subsequent analysis are ensured, and the comprehensive deviation ratio is obtained by calculating the nut shell deviation ratio and the flesh deviation ratio, and the sample closest to the standard is accurately located. By selecting the sample with the smallest comprehensive deviation ratio for nuclear magnetic resonance molecular structure fingerprint spectroscopy analysis, accurate comparison is made at the microscopic molecular level, and the origin of the nuts is accurately determined, which effectively solves the problems of insufficient accuracy, time-consuming and labor-intensive traditional origin identification methods, greatly improves the accuracy and efficiency of origin traceability, and is of great significance to protecting geographical indication products and maintaining the market order of agricultural products.

[0049] Furthermore, by cutting the standard test sample into two parts at the same position, measuring the thickness of the two parts of the nut shell at the cutting point and taking the average value, the test results are made more representative and comparable, pressure is applied to the cut flesh separately, and the appearance of cracks is monitored in real time to ensure the dynamics and sensitivity of the hardness testing process, provide more accurate data support for subsequent deviation calculation and origin traceability, and make the overall results of the traceability analysis more scientific and repeatable.

[0050] Furthermore, by assigning different weights to the deviation ratios of nut shell thickness and flesh hardness coefficient, differentiated considerations can be made based on their relative importance to the origin characteristics, making the comprehensive deviation ratio more consistent with the true characteristics of the nut samples, thereby improving the accuracy and applicability of origin identification, quickly screening and excluding samples that do not meet the origin characteristics, reducing the workload of subsequent complex analysis, and improving the overall efficiency of the traceability process.

[0051] Furthermore, by quickly eliminating nut samples that do not meet the characteristics of the target origin, the overall traceability process can be shortened, thereby improving the operational efficiency of the traceability system.

[0052] Furthermore, by comparing the comprehensive deviation ratios, samples with the smallest deviations are selected for further analysis to ensure that the samples used for origin traceability are closest to the characteristics of the target origin. This optimized screening reduces the source of errors and makes subsequent molecular structure detection more representative and scientific. The screened sample pulp is dried and ground into powder to homogenize the sample state, eliminate the effects of moisture and shape differences inside the sample on the NMR scan, and ensure the consistency and stability of the NMR spectral data, thereby obtaining high-quality molecular structure fingerprint spectra and comparing them with preset standard fingerprint spectra, further improving the accuracy of traceability.

[0053] Furthermore, by comparing the peak positions of the molecular structure fingerprint spectra, the subtle differences in chemical composition and molecular structure between the tested nut samples and the standard samples can be accurately identified. By comparing the similarities, the traceability results can be standardized. This process can achieve efficient and rapid traceability determination, improve traceability efficiency, and ensure that the traceability results are highly reliable and accurate.

[0054] Furthermore, multi-sample sampling can more accurately reflect the overall characteristics of the nuts to be tested, reduce the deviation caused by individual differences, provide reliable basic data for subsequent quality comparison, and enhance the reliability of the test results.

[0055] Furthermore, by setting a standard nut quality range, nut samples that do not meet the quality requirements can be quickly screened out, which can reduce the deviation caused by the interference of individual low-quality samples, enhance the scientificity and accuracy of the traceability results, ensure that the samples entering the subsequent testing process have basic consistency and standardization, avoid unnecessary thickness and hardness testing, save resources and time, and improve the overall efficiency of the traceability system.

[0056] Furthermore, by calculating the deviation ratios of nut shells and pulp separately, the physical properties of nuts can be fully reflected, and the degree of difference between the tested samples and the standard samples can be more objectively evaluated, thereby improving the scientificity and reliability of the judgment. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a flow chart of a method for tracing the origin of nuts based on feature fingerprints according to an embodiment of the present invention;

[0058] Figure 2 This is a flow chart of detecting nut shell thickness and flesh hardness coefficient according to an embodiment of the present invention;

[0059] Figure 3 A flowchart of an embodiment of the present invention for determining whether a standard sample to be tested meets the standard;

[0060] Figure 4 This is a system framework diagram of a nut origin traceability system based on feature fingerprints according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] In order to make the purpose and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0062] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0063] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0064] In addition, it should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0065] See also Figure 1 ,like Figure 1 As shown, it is a flow chart of a method for tracing the origin of nuts based on characteristic fingerprints according to an embodiment of the present invention;

[0066] Specifically, an embodiment of the present invention provides a method for tracing the origin of nuts based on feature fingerprints, including:

[0067] Step S1, obtaining a number of samples to be tested from the nuts to be tested, and detecting the quality of the nuts to be tested of each sample to be tested;

[0068] Step S2, comparing the mass of the nuts to be tested of any sample to be tested with the mass range of standard nuts to determine whether the mass of the sample to be tested meets the standard, so as to obtain a standard sample to be tested;

[0069] Step S3, obtaining the nut shell thickness and the pulp hardness coefficient of the standard sample to be tested;

[0070] Step S4, calculating the nutshell thickness and the standard nutshell thickness, and calculating the pulp hardness coefficient and the standard pulp hardness coefficient, and obtaining the corresponding nutshell deviation ratio and pulp deviation ratio respectively;

[0071] Step S5, calculating a comprehensive deviation ratio according to the nut shell deviation ratio and the pulp deviation ratio, and comparing the comprehensive deviation ratio with a preset standard deviation ratio to obtain a comparison result, and judging whether the standard sample to be tested meets the standard based on the comparison result, if any of the standard sample to be tested meets the standard, proceeding to step S6;

[0072] Step S6, selecting the nut pulp of the standard sample to be tested with the smallest comprehensive deviation ratio to perform nuclear magnetic resonance to obtain a molecular structure fingerprint spectrum, and comparing the molecular structure fingerprint spectrum with a preset standard fingerprint spectrum to determine whether the origin of the nuts to be tested is the target origin.

[0073] Specifically, the nut can be an edible fruit product with a hard shell, such as chestnut, almond, walnut, etc. In the present embodiment, the nut is a walnut.

[0074] Specifically, a number of test samples are randomly selected from a batch of nuts to be tested, the quality of the test samples is tested, and standard test samples that meet the test quality requirements are determined. After the standard test samples are sorted out, they are cut to separate the nut shell from the flesh, and the corresponding nut shell thickness and flesh hardness coefficient of the nut shell and flesh are tested respectively. The nut shell deviation ratio and flesh deviation ratio of the standard test samples are compared with the standard nut shell thickness and standard flesh hardness coefficient determined according to the nuts from the target origin, and the comprehensive deviation ratio obtained by weighted calculation of the two is calculated to determine whether the comprehensive deviation ratio of each standard test sample is consistent with the standard. When it is determined that there are standard test samples that meet the standard, it means that they are not much different from the nuts from the target origin. The flesh of the standard test sample with the smallest comprehensive deviation ratio is ground into powder and dried, and its molecular structure fingerprint is obtained by nuclear magnetic resonance for in-depth verification. The fingerprint map is compared with the standard map to determine the similarity and determine whether the origin of this batch of nuts to be tested is the target origin.

[0075] Specifically, a comprehensive and systematic origin characteristic identification system was constructed through multi-dimensional indicators such as nut quality, shell thickness and flesh hardness coefficient, which greatly improved the accuracy and reliability of traceability. First, through strict screening of nut quality, the representativeness and reliability of samples for subsequent analysis were ensured. By calculating the nut shell deviation ratio and the flesh deviation ratio, the comprehensive deviation ratio was obtained to accurately locate the sample closest to the standard. By selecting the sample with the smallest comprehensive deviation ratio for nuclear magnetic resonance molecular structure fingerprint spectroscopy analysis, accurate comparison was made at the microscopic molecular level to accurately determine the origin of the nuts, effectively solving the problems of insufficient accuracy, time-consuming and labor-intensive traditional origin identification methods, greatly improving the accuracy and efficiency of origin traceability, which is of great significance to protecting geographical indication products and maintaining the market order of agricultural products.

[0076] Please continue reading Figure 2 ,like Figure 2 As shown, it is a flow chart of detecting nut shell thickness and flesh hardness coefficient according to an embodiment of the present invention;

[0077] Specifically, step S3 includes:

[0078] Step S31, selecting a point at the same position of the standard sample to be tested and vertically cutting the standard sample to be tested into two parts from this point to obtain a nut shell and a pulp;

[0079] Step S32, obtaining the thickness of the two parts of the nutshell at the cutting point after cutting, and calculating the average thickness of the two thicknesses to obtain the thickness of the nutshell;

[0080] Step S33, applying pressure to the two parts of the cut flesh respectively and detecting in real time whether cracks are generated therein, and when cracks are generated, determining the applied pressures respectively and calculating the average pressure as the flesh hardness coefficient.

[0081] Specifically, the standard test samples are cut vertically into two parts at the top tip of each standard test sample. As the nuts are cut, two parts of nut shells and two parts of pulp are obtained. The thickness of the left and right parts of the nut shells at the cutting point is measured. Pressure is applied to the two parts of the cut pulp, and image monitoring is used to determine in real time whether cracks are generated in the pulp during the pressure application process.

[0082] During the specific implementation process, a precision cutting saw was used to vertically cut the standard test sample into two parts at the top point of the nut. A digital caliper was used to measure the thickness of the two parts of the nut shell at the tip, which were 1.2mm and 1.3mm respectively. The average thickness of the nut shell was 1.25mm. A pressure tester was used to pressurize the two parts of the cut flesh respectively. An image detector was used to detect that the pressures when cracks appeared in the two parts of the flesh were 50N and 54N respectively. The average hardness coefficient of the flesh was 52N.

[0083] Specifically, by cutting the standard test sample into two parts at the same position, measuring the thickness of the two parts of the nut shell at the cutting point and taking the average value, the test results are made more representative and comparable, pressure is applied to the cut flesh separately, and the appearance of cracks is monitored in real time to ensure the dynamics and sensitivity of the hardness testing process, provide more accurate data support for subsequent deviation calculation and origin traceability, and make the overall results of the traceability analysis more scientific and repeatable.

[0084] Please continue reading Figure 3 ,like Figure 3 As shown, it is a flow chart of determining whether a standard sample to be tested meets the standard according to an embodiment of the present invention;

[0085] Specifically, step S5 includes:

[0086] Step S51, assigning weights to the nut shell deviation ratio and the pulp deviation ratio, and performing weighted calculation to obtain the comprehensive deviation ratio;

[0087] Step S52, comparing the comprehensive deviation ratio with the standard deviation ratio to obtain a comparison result, and judging whether the standard sample meets the standard according to the comparison result, wherein:

[0088] If the comprehensive deviation ratio is greater than the standard deviation ratio, it is judged that the standard sample to be tested does not meet the standard;

[0089] If the comprehensive deviation ratio is less than or equal to the standard deviation ratio, it is determined that the standard sample to be tested meets the standard.

[0090] In the specific implementation process, the preset standard deviation ratio is 10%, the nut shell deviation ratio of a standard sample to be tested is 17%, the flesh deviation ratio is 13%, the weight of the nut shell deviation ratio is 60%, and the weight of the flesh deviation ratio is 40%. The calculated comprehensive deviation ratio is the ratio of the product of 17% and 60% to the product of 13% and 40%, which is 15.4%. The comprehensive deviation ratio of 15.4% is greater than the standard deviation ratio of 10%, and it is judged that this standard sample to be tested does not meet the standard.

[0091] Specifically, by assigning different weights to the deviation ratios of nut shell thickness and flesh hardness coefficient, differentiated considerations can be made based on their relative importance to the origin characteristics, so that the comprehensive deviation ratio is more in line with the actual characteristics of the nut samples, thereby improving the accuracy and applicability of origin identification, quickly screening and excluding samples that do not meet the origin characteristics, reducing the workload of subsequent complex analysis, and improving the overall efficiency of the traceability process.

[0092] Specifically, in step S52, if all the standard samples to be tested do not meet the standard, it is determined that the origin of the nuts to be tested is not the target origin.

[0093] Specifically, by quickly eliminating nut samples that do not meet the characteristics of the target origin, the overall traceability process can be shortened, thereby improving the operational efficiency of the traceability system.

[0094] Specifically, step S6 includes:

[0095] Step S61, comparing the comprehensive deviation ratios of the standard samples to be tested that meet the standards;

[0096] Step S62, selecting the nut pulp of the sample to be tested with the smallest comprehensive deviation ratio, drying and grinding it to obtain a powder sample;

[0097] Step S63, using a nuclear magnetic resonance instrument to scan the powder sample to obtain a molecular structure fingerprint spectrum;

[0098] Step S64, comparing the molecular structure fingerprint spectrum with the standard fingerprint spectrum, and determining whether the origin of the nuts to be tested is the target origin based on the comparison result.

[0099] During the specific implementation process, the comprehensive deviation ratios of standard test samples that met the standards in a batch of nuts were 6%, 7% and 8% respectively. After comparison, the pulp of the standard test sample with a comprehensive deviation ratio of 6% was selected, dried and ground into powder by a grinder. The powder was subjected to nuclear magnetic resonance to obtain its molecular structure fingerprint spectrum, which was compared with the standard fingerprint spectrum of nuts from the target origin.

[0100] Specifically, by comparing the comprehensive deviation ratios, samples with the smallest deviations are selected for further analysis to ensure that the samples used for origin traceability are closest to the characteristics of the target origin. This optimized screening reduces the source of errors and makes subsequent molecular structure detection more representative and scientific. The screened sample pulp is dried and ground into powder to homogenize the sample state, eliminate the effects of moisture and shape differences inside the sample on the NMR scan, and ensure the consistency and stability of the NMR spectral data, thereby obtaining high-quality molecular structure fingerprint spectra and comparing them with preset standard fingerprint spectra, further improving the accuracy of traceability.

[0101] Specifically, in step S64, the specific steps of comparing the molecular structure fingerprint spectrum with the standard fingerprint spectrum include:

[0102] Compare the peak positions of the obtained molecular structure fingerprint spectrum with the standard fingerprint spectrum;

[0103] Calculate the spectrogram similarity;

[0104] When the spectrum similarity is greater than a preset similarity, it is determined whether the origin of the nuts to be tested is the target origin.

[0105] In the specific implementation process, the peak positions of the molecular structure fingerprint spectrum obtained by nuclear magnetic resonance are peak A1.2ppm, peak B2.5ppm, peak C3.7ppm, peak D5.1 ppm, and the peak positions of the spectrum of the origin to be tested are: peak A′1.3ppm, peak B′2.6ppm, peak C′3.8ppm, peak D′5.2ppm. The preset similarity is 90%. The spectrum similarity between the molecular structure fingerprint spectrum of the standard sample to be tested and the standard fingerprint spectrum is the average of the similarities of the four peak positions. The calculated spectrum similarity is 83%, which is less than the preset similarity of 90%. It is determined that the origin of this batch of nuts to be tested is not the target origin.

[0106] Specifically, by comparing the peak positions of the molecular structure fingerprint spectra, the subtle differences in chemical composition and molecular structure between the tested nut samples and the standard samples can be accurately identified. By comparing the similarities, the traceability results can be standardized. This process can achieve efficient and rapid traceability determination, improve traceability efficiency, and ensure that the traceability results are highly reliable and accurate.

[0107] Specifically, in step S1, it includes:

[0108] Step S11, sampling and selecting a number of samples to be tested from the nuts to be tested;

[0109] Step S12, placing the sample to be tested in a constant temperature and humidity environment for pretreatment for 24 hours;

[0110] Step S13, after the preprocessing is completed, the nut quality of each of the samples to be tested is detected.

[0111] During the specific implementation process, 10 nuts were randomly selected from a batch of 300 nuts for pretreatment and placed in a constant temperature and humidity chamber at a temperature of 20°C and a relative humidity of 60% for 24 hours to eliminate environmental influences, standardize the testing conditions, and reduce the impact of the transportation environment. After storage for 24 hours, the weights of the ten nuts were tested to be 25g, 22g, 30g, 28g, 29g, 31g, 28g, 33g, 30g, and 32g respectively.

[0112] Specifically, multi-sample sampling can more accurately reflect the overall characteristics of the nuts to be tested, reduce the deviation caused by individual differences, provide reliable basic data for subsequent quality comparison, and enhance the reliability of the test results.

[0113] Specifically, the process of judging whether the quality of the sample to be tested meets the standard in step S2 includes:

[0114] If the mass of the nuts to be tested is within the mass range of the standard nuts, then the mass is judged to meet the standard;

[0115] If the mass of the nuts to be tested exceeds the mass range of the standard nuts, it is determined that the mass does not meet the standard.

[0116] During the specific implementation process, the preset standard nut mass range is 28g-30g, and the weights of the ten nuts are 25g, 22g, 30g, 28g, 29g, 31g, 28g, 33g, 30g, and 32g respectively. It is judged that only two 30g nuts, two 28g nuts and one 29g nuts meet the standard, and the rest do not meet the standard.

[0117] Specifically, by setting the standard nut quality range, nut samples that do not meet the quality requirements can be quickly screened out, the deviation caused by the interference of individual low-quality samples can be reduced, the scientificity and accuracy of the traceability results can be enhanced, and the samples entering the subsequent testing process can be ensured to have basic consistency and standardization, avoiding unnecessary thickness and hardness testing, saving resources and time, and improving the overall efficiency of the traceability system.

[0118] Specifically, in step S4, the nut shell deviation ratio is obtained by dividing the absolute value of the difference between the nut shell thickness and the standard nut shell thickness by the standard nut shell thickness, and the flesh deviation ratio is obtained by dividing the absolute value of the difference between the flesh hardness coefficient and the standard flesh hardness coefficient by the standard flesh hardness coefficient.

[0119] Specifically, the preset standard nut shell thickness is 1.5mm, and the preset standard flesh hardness coefficient is 60N. If the nut shell thickness of a standard sample to be tested is detected to be 1.25mm, and the flesh hardness coefficient is 52N, the calculated nut shell deviation ratio is 1.25mm minus the absolute value of 1.5mm divided by 1.5mm, which is rounded to 17%, and the flesh deviation ratio is 52N minus the absolute value of 60N divided by 60N, which is rounded to 13%.

[0120] Specifically, by calculating the deviation ratios of nut shells and pulp separately, the physical properties of nuts can be fully reflected, and the degree of difference between the tested sample and the standard sample can be more objectively evaluated, thereby improving the scientificity and reliability of the judgment.

[0121] Please continue reading Figure 4 ,like Figure 4 As shown, it is a system framework diagram of a nut origin tracing system based on feature fingerprints according to an embodiment of the present invention;

[0122] Another aspect of the present invention provides a nut origin traceability system based on feature fingerprints applicable to any of the above traceability methods, including:

[0123] A sampling module, used for obtaining a number of samples to be tested from the nuts to be tested;

[0124] A quality detection module, which is connected to the sampling module, and is used to detect the nut quality of each sample to be tested, and compare the nut quality of the sample to be tested with the standard nut quality range, and judge whether the quality of the sample to be tested meets the standard based on the comparison result;

[0125] A parameter detection module, which is connected to the quality detection module, and is used to cut a standard sample to be tested that meets the quality standards to obtain nut shells and pulp, and to detect the thickness of the nut shell and the hardness coefficient of the pulp;

[0126] A deviation calculation module, connected to the parameter detection module, for calculating the nut shell deviation ratio and the pulp deviation ratio, and calculating the comprehensive deviation ratio;

[0127] A comparison module, which is connected to the deviation calculation module and is used to compare the comprehensive deviation ratio with a preset standard deviation ratio to determine whether the standard sample to be tested meets the standard;

[0128] The determination module is connected to the parameter detection module and the comparison module respectively, and is used to obtain the molecular structure fingerprint spectrum of the standard sample to be tested with the smallest comprehensive deviation ratio, and to compare the molecular structure fingerprint spectrum with the standard fingerprint spectrum, and determine whether the origin of the nuts to be tested is the target origin based on the comparison result.

[0129] Specifically, the nut origin traceability system based on feature fingerprints provided in this embodiment can run the above-mentioned nut origin traceability method based on feature fingerprints, and can achieve the same technical effects, which will not be repeated here.

[0130] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0131] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for tracing the origin of nuts based on characteristic fingerprints, characterized in that: include: Step S1, obtaining a number of samples to be tested from the nuts to be tested, and detecting the quality of the nuts to be tested of each sample to be tested; Step S2, comparing the mass of the nuts to be tested of any sample to be tested with the mass range of standard nuts to determine whether the mass of the sample to be tested meets the standard, so as to obtain a standard sample to be tested; Step S3, obtaining the nut shell thickness and the pulp hardness coefficient of the standard sample to be tested; Step S4, calculating the nutshell thickness and the standard nutshell thickness, and calculating the pulp hardness coefficient and the standard pulp hardness coefficient, and obtaining the corresponding nutshell deviation ratio and pulp deviation ratio respectively; Step S5, calculating a comprehensive deviation ratio according to the nut shell deviation ratio and the pulp deviation ratio, and comparing the comprehensive deviation ratio with a preset standard deviation ratio to obtain a comparison result, and judging whether the standard sample to be tested meets the standard based on the comparison result, if any of the standard sample to be tested meets the standard, proceeding to step S6; Step S6, selecting the nut pulp of the standard sample to be tested with the smallest comprehensive deviation ratio to perform nuclear magnetic resonance to obtain a molecular structure fingerprint spectrum, and comparing the molecular structure fingerprint spectrum with a preset standard fingerprint spectrum to determine whether the origin of the nuts to be tested is the target origin.

2. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 1, characterized in that: In the step S3, it includes: Step S31, selecting a point at the same position of the standard sample to be tested and vertically cutting the standard sample to be tested into two parts from this point to obtain a nut shell and a pulp; Step S32, obtaining the thickness of the two parts of the nutshell at the cutting point after cutting, and calculating the average thickness of the two thicknesses to obtain the thickness of the nutshell; Step S33, applying pressure to the two parts of the cut flesh respectively and detecting in real time whether cracks are generated therein, and when cracks are generated, determining the applied pressures respectively and calculating the average pressure as the flesh hardness coefficient.

3. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 1, characterized in that: In the step S5, it includes: Step S51, assigning weights to the nut shell deviation ratio and the pulp deviation ratio, and performing weighted calculation to obtain the comprehensive deviation ratio; Step S52, comparing the comprehensive deviation ratio with the standard deviation ratio to obtain a comparison result, and judging whether the standard sample meets the standard according to the comparison result, wherein: If the comprehensive deviation ratio is greater than the standard deviation ratio, it is judged that the standard sample to be tested does not meet the standard; If the comprehensive deviation ratio is less than or equal to the standard deviation ratio, it is determined that the standard sample to be tested meets the standard.

4. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 3 is characterized in that: In the step S52, if all the standard samples to be tested do not meet the standard, it is determined that the origin of the nuts to be tested is not the target origin.

5. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 1, characterized in that: In the step S6, it includes: Step S61, comparing the comprehensive deviation ratios of the standard samples to be tested that meet the standards; Step S62, selecting the nut pulp of the sample to be tested with the smallest comprehensive deviation ratio, drying and grinding it to obtain a powder sample; Step S63, using a nuclear magnetic resonance instrument to scan the powder sample to obtain a molecular structure fingerprint spectrum; Step S64, comparing the molecular structure fingerprint spectrum with the standard fingerprint spectrum, and determining whether the origin of the nuts to be tested is the target origin based on the comparison result.

6. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 5 is characterized in that: In step S64, the specific steps of comparing the molecular structure fingerprint spectrum with the standard fingerprint spectrum include: The peak positions of the obtained molecular structure fingerprint spectrum are compared with those of the standard fingerprint spectrum; Calculate the spectrogram similarity; When the similarity is greater than a preset similarity, it is determined whether the origin of the nuts to be tested is the target origin.

7. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 1, characterized in that: In step S1, it includes: Step S11, sampling and selecting a number of samples to be tested from the nuts to be tested; Step S12, placing the sample to be tested in a constant temperature and humidity environment for pretreatment for 24 hours; Step S13, after the preprocessing is completed, the nut quality of each of the samples to be tested is detected.

8. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 1, characterized in that: The process of judging whether the quality of the sample to be tested meets the standard in step S2 includes: If the mass of the nuts to be tested is within the mass range of the standard nuts, then the mass is judged to meet the standard; If the mass of the nuts to be tested exceeds the mass range of the standard nuts, it is determined that the mass does not meet the standard.

9. The method for tracing the origin of nuts based on characteristic fingerprints according to claim 1, characterized in that: In step S4, the nutshell deviation ratio is obtained by dividing the absolute value of the difference between the nutshell thickness and the standard nutshell thickness by the standard nutshell thickness, and the flesh deviation ratio is obtained by dividing the absolute value of the difference between the flesh hardness coefficient and the standard flesh hardness coefficient by the standard flesh hardness coefficient.

10. A nut origin tracing system based on feature fingerprints using the nut origin tracing method based on feature fingerprints according to any one of claims 1 to 9, characterized in that: include: A sampling module, used for obtaining a number of samples to be tested from the nuts to be tested; A quality detection module, used to detect the nut quality of each sample to be tested, and compare the nut quality of the sample to be tested with the standard nut quality range, and determine whether the quality of the sample to be tested meets the standard based on the comparison result; A parameter detection module is used to cut a standard sample to be tested that meets the quality standards to obtain nut shells and pulp, and to detect the thickness of the nut shell and the hardness coefficient of the pulp; A deviation calculation module, used to calculate the nut shell deviation ratio and the pulp deviation ratio, and to calculate the comprehensive deviation ratio; A comparison module is used to compare the comprehensive deviation ratio with the preset standard deviation ratio to determine whether the standard sample to be tested meets the standard; The judgment module is used to obtain the molecular structure fingerprint spectrum of the standard sample to be tested with the smallest comprehensive deviation ratio, and to compare the molecular structure fingerprint spectrum with the standard fingerprint spectrum, and determine whether the origin of the nuts to be tested is the target origin based on the comparison result.

Images