Method for losslessly distinguishing kaolinite minerals based on infrared reflection method
By calculating the wavenumber difference between the characteristic peaks of Si-O and Si-O-Si using infrared reflectance method, the problem of non-destructive differentiation of kaolinite group minerals has been solved, and accurate differentiation of kaolinite, dickite and pearlite has been achieved, meeting the non-destructive requirements of jewelry testing.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA UNIV OF GEOSCIENCES (BEIJING)
- Filing Date
- 2026-01-30
- Publication Date
- 2026-05-12
AI Technical Summary
Existing technologies cannot distinguish between kaolinite, dickite, and pearlite non-destructively. X-ray diffraction analysis and infrared transmission methods require sample grinding, which violates the non-destructive testing requirements for jewelry.
The infrared reflectance method was used to determine the infrared reflectance spectra of kaolinite group minerals using a Fourier transform infrared spectrometer. The wavenumber difference between the Si-O characteristic peak near 1130 cm⁻¹ and the Si-O-Si characteristic peak near 1005 cm⁻¹ was calculated. Based on the wavenumber difference, a classification standard was established to distinguish kaolinite, dickite, and pearlite.
It enables non-destructive differentiation of kaolinite group minerals, replacing destructive X-ray diffraction analysis and infrared transmission methods, ensuring the accuracy and non-destructive nature of the detection.
Smart Images
Figure CN122016698A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to a method for non-destructively distinguishing kaolinite group minerals based on infrared reflection, belonging to the field of gemstone testing technology. Background Technology
[0002] Kaolinite is a subgroup of layered silicate minerals within the broader category of oxygen-containing salt minerals. It comprises four minerals: halloysite, kaolinite, dickite (also known as kaolin), and pearlite. The differences between kaolinite, dickite, and pearlite are extremely subtle and difficult to distinguish using conventional non-destructive testing methods. However, differentiating kaolinite, dickite, pearlite, and other mineral components is of significant importance in identifying seal stones such as Shoushan stone, Tianhuang stone, and Lao stone. Currently, in the identification process, kaolinite and dickite can generally only be distinguished through X-ray diffraction analysis or infrared transmission methods. However, X-ray diffraction analysis and infrared transmission methods require grinding the sample into powder, which damages the sample and does not meet the requirements of non-destructive testing in jewelry inspection. Therefore, there is an urgent need for a non-destructive testing method to replace X-ray diffraction analysis and infrared transmission methods, so as to achieve the goal of non-destructively distinguishing kaolinite, dickite, and pearlite. Summary of the Invention
[0003] To address the aforementioned problems, this invention proposes a method for distinguishing kaolinite group minerals based on infrared reflectance. Specifically, the classification criteria for kaolinite group minerals are established based on the wavenumber difference between the Si-O characteristic peak near 1130 cm⁻¹ and the Si-O-Si characteristic peak near 1005 cm⁻¹ in the infrared reflectance spectrum. The infrared reflectance spectra of the kaolinite group minerals to be classified are measured using a Fourier transform infrared spectrometer, and then the wavenumber difference between the Si-O characteristic peak near 1130 cm⁻¹ and the Si-O-Si characteristic peak near 1005 cm⁻¹ is used to distinguish kaolinite, dickite, and terpene within the kaolinite group minerals.
[0004] To achieve the above objectives, the present invention provides the following technical solution: S1. Obtain the infrared reflectance spectrum of the kaolinite group minerals to be distinguished; S2. Determine the location at 1130cm from the infrared reflectance spectrum. -1 The first peak of the nearby Si-O characteristic peak, and the peak located at 1005 cm⁻¹ -1 The second peak position of the nearby Si-O-Si characteristic peak; S3. Calculate the wavenumber difference between the first peak and the second peak; S4. Based on the wavenumber difference, determine the category of kaolinite group minerals according to the classification criteria; The classification criteria for the kaolinite group minerals are as follows: If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is less than or equal to 122 cm⁻¹. -1 The main component of the sample is kaolinite; If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is greater than 122 cm⁻¹. -1 Less than 125cm -1 If so, the main component of the sample is a mixture of dickite and kaolinite; If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is greater than or equal to 125 cm⁻¹ -1 Less than or equal to 127cm -1 The main component of the sample is dickite; If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is greater than 127 cm⁻¹. -1 The main component of the sample is pearlite; The wavenumber range for infrared reflectance testing using the Fourier transform infrared spectrometer is 400–2000 cm⁻¹. -1 Resolution less than or equal to 4cm -1 The number of scans shall not be less than 16.
[0005] Compared with the prior art, the present invention has the following beneficial effects: This invention is based on the infrared reflectance spectrum located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks was used to establish the classification criteria for kaolinite group minerals; the infrared reflectance spectra of the kaolinite group minerals to be classified were measured by Fourier transform infrared spectroscopy, and then based on the position of the peaks at 1130 cm⁻¹, the classification criteria were established. -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The difference in wavenumbers of the nearby Si-O-Si characteristic peaks can be used to distinguish kaolinite, dickite, and pearlite in the kaolinite group of minerals; this can solve the problem that currently, in the identification process, it is necessary to use destructive testing methods to distinguish kaolinite and dickite. Attached Figure Description
[0006] Figure 1This is a flowchart of a method for non-destructively distinguishing kaolinite group minerals based on infrared reflectance method according to the present invention; Figure 2 Figure 1 shows the test results of the kaolinite group mineral seal stone in Example 1. Figure 1(a) is a picture of the actual kaolinite group mineral seal stone in Example 1, Figure 2(b) is the infrared reflectance spectrum of Example 1, and Figure 3(c) is the infrared transmission spectrum of Example 1. Figure 3 Figure 1 shows the test results of the kaolinite group mineral seal stone in Example 2. Figure 2(a) is a picture of the actual kaolinite group mineral seal stone in Example 2, Figure 2(b) is the infrared reflectance spectrum of Example 2, and Figure 2(c) is the infrared transmission spectrum of Example 2. Figure 4 Figure 1 shows the test results of the kaolinite group mineral seal stone in Example 3. Figure 2 shows the physical image of the kaolinite group mineral seal stone in Example 3, Figure 3 shows the infrared reflectance spectrum of Example 3, and Figure 4 shows the infrared transmission spectrum of Example 3. Figure 5 Figure 4 shows the test results of the kaolinite group mineral seal stone in Example 4. Figure (a) is a picture of the actual kaolinite group mineral seal stone in Example 4, Figure (b) is the infrared reflectance spectrum of Example 4, and Figure (c) is the infrared transmission spectrum of Example 4. Figure 6 Figure 5 shows the test results of the kaolinite group mineral seal stone in Example 5. Figure 5(a) is a picture of the actual kaolinite group mineral seal stone in Example 5, Figure 5(b) is the infrared reflectance spectrum of Example 5, and Figure 5(c) is the infrared transmission spectrum of Example 5. Figure 7 Figure 1 shows the test results of the kaolinite group mineral seal stone in Example 6. Figure 2 shows the physical image of the kaolinite group mineral seal stone in Example 6, Figure 3 shows the infrared reflectance spectrum of Example 6, and Figure 4 shows the infrared transmission spectrum of Example 6. Figure 8 Figure 7 shows the test results of the kaolinite group mineral seal stone in Example 7. Figure (a) is a picture of the actual kaolinite group mineral seal stone in Example 7, Figure (b) is the infrared reflectance spectrum of Example 7, and Figure (c) is the infrared transmission spectrum of Example 7. Figure 9 Figure 8 shows the test results of the kaolinite group mineral seal stone in Example 8. Figure 8(a) is a picture of the actual kaolinite group mineral seal stone in Example 8, Figure 8(b) is the infrared reflectance spectrum of Example 8, and Figure 8(c) is the infrared transmission spectrum of Example 8. Figure 10Figure 1 shows the test results of the kaolinite group mineral seal stone in Example 9. Figure 2 shows the physical image of the kaolinite group mineral seal stone in Example 9, Figure 3 shows the infrared reflectance spectrum of Example 9, and Figure 4 shows the infrared transmission spectrum of Example 9. Detailed Implementation
[0007] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0008] like Figure 1 As shown, a method for non-destructively distinguishing kaolinite group minerals based on infrared reflectance method; Example 1: A method for non-destructively distinguishing kaolinite group minerals based on infrared reflectance method, the specific steps of which are as follows: S1. Obtain the infrared reflectance spectrum of the kaolinite group minerals to be distinguished; S2. Determine the location at 1130cm from the infrared reflectance spectrum. -1 The first peak of the nearby Si-O characteristic peak, and the peak located at 1005 cm⁻¹ -1 The second peak position of the nearby Si-O-Si characteristic peak; S3. Calculate the wavenumber difference between the first peak and the second peak; S4. Based on the wavenumber difference, determine the category of kaolinite group minerals according to the classification criteria; The classification criteria for the kaolinite group minerals are as follows: If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is less than or equal to 122 cm⁻¹. -1 The main component of the sample is kaolinite; If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is greater than 122 cm⁻¹. -1 Less than 125cm -1 If so, the main component of the sample is a mixture of dickite and kaolinite; If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is greater than or equal to 125 cm⁻¹ -1 Less than or equal to 127cm-1 The main component of the sample is dickite; If located at 1130cm -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is greater than 127 cm⁻¹. -1 The main component of the sample is pearlite; The wavenumber range for infrared reflectance testing using the Fourier transform infrared spectrometer is 400–2000 cm⁻¹. -1 Resolution less than or equal to 4cm -1 The number of scans shall not be less than 16.
[0009] like Figure 2 As shown, Figure 2 (a) is a photograph of the kaolinite group mineral seal stone from Example 1. Figure 2 (b) is the infrared reflectance spectrum of Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample No. 1 is located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1132 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak position of the nearby Si-O-Si is 1005 cm⁻¹. -1 The wavenumber difference between the two peaks is 127 cm⁻¹. -1 The classification of the kaolinite group minerals to be classified is determined according to the classification criteria in step S4. Since the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹... -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 127 cm⁻¹. -1 Therefore, the main component of the seal stone sample in this embodiment is dickite.
[0010] Since the main function of this invention in practice is to replace the destructive testing method of infrared transmission as a non-destructive testing method, infrared transmission spectroscopy was performed on sample number 1 to verify the accuracy of the invention. Therefore, in this embodiment, an additional infrared transmission test was performed for comparison. The obtained infrared transmission spectrum is shown in the figure below. Figure 2 As shown in (c), there are three spectral peaks in the high-frequency region: 3702 cm⁻¹, 3651 cm⁻¹, and 3624 cm⁻¹. The absorption increases as the wavenumber decreases, which shows the characteristic absorption peaks of dickite, which is the same as the result obtained by non-destructive testing by infrared reflection method in this embodiment.
[0011] Example 2: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 2 was measured to be located at 1130 cm⁻¹.-1 The characteristic Si-O peak position nearby is 1125 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1006 cm⁻¹. -1 The difference in wavenumber between the two peaks is 119 cm⁻¹. -1 ,like Figure 3 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0012] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 119 cm⁻¹. -1 Therefore, the main component of the seal stone sample in this embodiment is kaolinite.
[0013] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 2. The obtained infrared transmission spectrum... Figure 3 In (c), a value of 3697 cm⁻¹ exists in the high-frequency region. -1 3653cm -1 and 3622cm -1 The three spectral peaks, with the middle peak being weaker and the two outer peaks being stronger, are characteristic absorption peaks of kaolinite, which is the same as the result obtained by non-destructive testing using infrared reflectance method in this embodiment.
[0014] Example 3: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 3 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1133 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1005 cm⁻¹. -1 The difference in wavenumber between the two peaks is 128m. -1 ,like Figure 4 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0015] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 128 cm⁻¹. -1 Therefore, the main component of the seal stone sample in this embodiment is dickite.
[0016] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 3. The obtained infrared transmission spectrum... Figure 4 In (c), a value of 3705 cm⁻¹ exists in the high-frequency region. -1 3654cm -1 and 3622cm -1 The three spectral peaks show enhanced absorption as the wavenumber decreases, exhibiting characteristic absorption peaks of dickite, which is consistent with the results obtained by non-destructive testing using infrared reflectance in this embodiment.
[0017] Example 4: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 4 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1128 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1009 cm⁻¹. -1 The difference in wavenumber between the two peaks is 119m. -1 ,like Figure 5 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0018] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 119 cm⁻¹. -1 Therefore, the main component of the seal stone sample in this embodiment is kaolinite.
[0019] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 4. The obtained infrared transmission spectrum... Figure 5 In (c), there is a 3695cm high frequency region. -1 3653cm -1 and 3621cm -1 The three spectral peaks, with the middle peak being weaker and the two outer peaks being stronger, are characteristic absorption peaks of kaolinite, which is the same as the result obtained by non-destructive testing using infrared reflectance method in this embodiment.
[0020] Example 5: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 5 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1127 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1006 cm⁻¹. -1 The difference in wavenumber between the two peaks is 121m. -1,like Figure 6 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0021] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 121 cm⁻¹. -1 Therefore, the main component of the seal stone sample in this embodiment is kaolinite.
[0022] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 5. The obtained infrared transmission spectrum... Figure 6 In (c), there is a 3698 cm⁻¹ in the high-frequency region. -1 3654cm -1 and 3622cm -1 The three spectral peaks, with the middle peak being weaker and the two outer peaks being stronger, are characteristic absorption peaks of kaolinite, which is the same as the result obtained by non-destructive testing using infrared reflectance method in this embodiment.
[0023] Example 6: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 6 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1130 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1005 cm⁻¹. -1 The difference in wavenumber between the two peaks is 125m. -1 ,like Figure 7 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0024] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 125 cm⁻¹. -1 Therefore, the main component of the seal stone sample in this embodiment is dickite.
[0025] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 6. The obtained infrared transmission spectrum... Figure 7 In (c), there is a 3700cm high frequency region. -1 3652cm -1 and 3624cm -1The three spectral peaks show enhanced absorption as the wavenumber decreases, exhibiting characteristic absorption peaks of dickite, which is consistent with the results obtained by non-destructive testing using infrared reflectance in this embodiment.
[0026] Example 7: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 7 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1128 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1005 cm⁻¹. -1 The difference in wavenumber between the two peaks is 123m. -1 ,like Figure 8 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0027] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 123 cm⁻¹. -1 Therefore, the main components of the seal stone sample in this embodiment are a mixture of dickite and kaolinite.
[0028] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 7. The obtained infrared transmission spectrum... Figure 8 In (c), a value of 3697 cm⁻¹ exists in the high-frequency region. -1 3653cm -1 and 3622cm -1 The sample has three spectral peaks. The first two peaks have similar intensities, which suggests that the sample is kaolinite. However, it is believed that the sample contains a certain amount of dickite, which is consistent with the results obtained by non-destructive testing using infrared reflectance method in this study.
[0029] Example 8: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 8 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1130 cm⁻¹. -1 Located at 1005cm -1 The characteristic peak of the nearby Si-O-Si is located at 1007 cm⁻¹. -1 The difference in wavenumber between the two peaks is 123m. -1 ,like Figure 9 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0030] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹-1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 123 cm⁻¹. -1 Therefore, the main components of the seal stone sample in this embodiment are a mixture of dickite and kaolinite.
[0031] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 7. The obtained infrared transmission spectrum... Figure 9 In (c), a value of 3697 cm⁻¹ exists in the high-frequency region. -1 3653cm -1 and 3622cm -1 The sample has three spectral peaks. The first two peaks have similar intensities, which suggests that the sample is kaolinite. However, it is believed that the sample contains a certain amount of dickite, which is consistent with the results obtained by non-destructive testing using infrared reflectance method in this study.
[0032] Example 9: The research steps are the same as in Example 1. In this example, the infrared reflectance spectrum of kaolinite group mineral seal stone sample number 9 was measured to be located at 1130 cm⁻¹. -1 The characteristic Si-O peak position nearby is 1134 cm⁻¹. -1 Located at 1029cm -1 The characteristic peak of the nearby Si-O-Si is located at 1007 cm⁻¹. -1 The difference in wavenumber between the two peaks is 129m. -1 ,like Figure 10 As shown; the classification of the kaolinite group minerals to be classified is determined according to the classification criteria in S4.
[0033] Because the infrared reflectance spectrum of the kaolinite group mineral seal stone sample in this embodiment is located at 1130 cm⁻¹ -1 The nearby Si-O characteristic peaks and those located at 1005 cm⁻¹ -1 The wavenumber difference of the nearby Si-O-Si characteristic peaks is 129 cm⁻¹. -1 Therefore, the main components of the seal stone sample in this embodiment are a mixture of dickite and kaolinite.
[0034] To verify the accuracy of this invention, infrared transmission spectroscopy was performed on sample number 9. The obtained infrared transmission spectrum... Figure 10 In (c), a 3702 cm⁻¹ exists in the high-frequency region. -1 3648cm -1 and 3627cm -1 The absorption of the three spectral peaks increases as the wavenumber decreases, and the two peaks at lower wavenumbers have a wide half-width and do not split, showing characteristic absorption peaks of pearlite, which is the same as the result obtained by non-destructive testing using infrared reflectance method in this embodiment.
[0035] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A method for non-destructively distinguishing kaolinite group minerals based on infrared reflectance, characterized in that, Specifically, the following steps are included: S1. Obtain the infrared reflectance spectrum of the kaolinite group minerals to be distinguished; S2. Determine the location at 1130cm from the infrared reflectance spectrum. -1 The first peak of the Si-O characteristic peak, and the peak located at 1005 cm⁻¹. -1 It is located at the second peak position of the Si-O-Si characteristic peak; S3. Calculate the wavenumber difference between the first peak and the second peak; S4. Based on the wavenumber difference, determine the category of kaolinite group minerals according to the classification criteria; The specific classification criteria are as follows: (1) When the wavenumber difference is less than or equal to 122cm -1 If so, the sample is determined to contain kaolinite. (2) When the wavenumber difference is greater than 122cm -1 Less than 125cm -1 If so, the sample is determined to contain a mixture of dickite and kaolinite. (3) When the wavenumber difference is greater than or equal to 125cm -1 Less than or equal to 127cm -1 If so, the sample is determined to contain dickite components; (4) When the wavenumber difference is greater than 127cm -1 If so, the sample is determined to contain pearlite components.
2. The method for non-destructively distinguishing kaolinite group minerals based on infrared reflectance method according to claim 1, characterized in that, In S1, the infrared reflectance spectrum is measured by a Fourier transform infrared spectrometer.
3. The method for non-destructively distinguishing kaolinite group minerals based on infrared reflectance method according to claim 2, characterized in that, The wavenumber range for infrared reflectance measurements using a Fourier transform infrared spectrometer is 400–2000 cm⁻¹. -1 Resolution less than or equal to 4cm -1 The number of scans is greater than or equal to 16.