CN114965343A - Method for analyzing olivine components based on thermal infrared spectroscopy technology and application - Google Patents
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- 229910052609 olivine Inorganic materials 0.000 title claims abstract description 150
- 239000010450 olivine Substances 0.000 title claims abstract description 150
- 238000000034 method Methods 0.000 title claims abstract description 36
- 238000004566 IR spectroscopy Methods 0.000 title claims abstract description 15
- 238000005516 engineering process Methods 0.000 title abstract description 12
- 239000000523 sample Substances 0.000 claims abstract description 67
- 238000010521 absorption reaction Methods 0.000 claims abstract description 43
- 238000001228 spectrum Methods 0.000 claims abstract description 22
- 238000004458 analytical method Methods 0.000 claims description 25
- 229910052500 inorganic mineral Inorganic materials 0.000 claims description 19
- 239000011707 mineral Substances 0.000 claims description 19
- 238000002329 infrared spectrum Methods 0.000 claims description 13
- 239000000203 mixture Substances 0.000 claims description 8
- 230000003595 spectral effect Effects 0.000 claims description 8
- 238000012216 screening Methods 0.000 claims description 5
- 238000012417 linear regression Methods 0.000 claims description 4
- 239000000470 constituent Substances 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 2
- 238000005070 sampling Methods 0.000 abstract description 3
- 239000002699 waste material Substances 0.000 abstract description 3
- XEEYBQQBJWHFJM-UHFFFAOYSA-N iron Substances [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 15
- 235000010755 mineral Nutrition 0.000 description 15
- 239000011777 magnesium Substances 0.000 description 14
- 229910004283 SiO 4 Inorganic materials 0.000 description 6
- 238000005259 measurement Methods 0.000 description 5
- 229910052749 magnesium Inorganic materials 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- FYYHWMGAXLPEAU-UHFFFAOYSA-N Magnesium Chemical compound [Mg] FYYHWMGAXLPEAU-UHFFFAOYSA-N 0.000 description 3
- 239000000039 congener Substances 0.000 description 3
- 238000001514 detection method Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 239000011435 rock Substances 0.000 description 3
- PXHVJJICTQNCMI-UHFFFAOYSA-N Nickel Chemical compound [Ni] PXHVJJICTQNCMI-UHFFFAOYSA-N 0.000 description 2
- BPQQTUXANYXVAA-UHFFFAOYSA-N Orthosilicate Chemical compound [O-][Si]([O-])([O-])[O-] BPQQTUXANYXVAA-UHFFFAOYSA-N 0.000 description 2
- 239000013078 crystal Substances 0.000 description 2
- 238000002425 crystallisation Methods 0.000 description 2
- 230000008025 crystallization Effects 0.000 description 2
- 229910052742 iron Inorganic materials 0.000 description 2
- 238000002844 melting Methods 0.000 description 2
- 230000008018 melting Effects 0.000 description 2
- 239000002245 particle Substances 0.000 description 2
- 239000000843 powder Substances 0.000 description 2
- 239000011819 refractory material Substances 0.000 description 2
- 239000004575 stone Substances 0.000 description 2
- 230000007704 transition Effects 0.000 description 2
- XUIMIQQOPSSXEZ-UHFFFAOYSA-N Silicon Chemical compound [Si] XUIMIQQOPSSXEZ-UHFFFAOYSA-N 0.000 description 1
- WYTGDNHDOZPMIW-RCBQFDQVSA-N alstonine Natural products C1=CC2=C3C=CC=CC3=NC2=C2N1C[C@H]1[C@H](C)OC=C(C(=O)OC)[C@H]1C2 WYTGDNHDOZPMIW-RCBQFDQVSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000010941 cobalt Substances 0.000 description 1
- 229910017052 cobalt Inorganic materials 0.000 description 1
- GUTLYIVDDKVIGB-UHFFFAOYSA-N cobalt atom Chemical compound [Co] GUTLYIVDDKVIGB-UHFFFAOYSA-N 0.000 description 1
- 230000009189 diving Effects 0.000 description 1
- 229910052840 fayalite Inorganic materials 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- ZLNQQNXFFQJAID-UHFFFAOYSA-L magnesium carbonate Chemical compound [Mg+2].[O-]C([O-])=O ZLNQQNXFFQJAID-UHFFFAOYSA-L 0.000 description 1
- 239000001095 magnesium carbonate Substances 0.000 description 1
- 229910000021 magnesium carbonate Inorganic materials 0.000 description 1
- 235000014380 magnesium carbonate Nutrition 0.000 description 1
- WPBNNNQJVZRUHP-UHFFFAOYSA-L manganese(2+);methyl n-[[2-(methoxycarbonylcarbamothioylamino)phenyl]carbamothioyl]carbamate;n-[2-(sulfidocarbothioylamino)ethyl]carbamodithioate Chemical compound [Mn+2].[S-]C(=S)NCCNC([S-])=S.COC(=O)NC(=S)NC1=CC=CC=C1NC(=S)NC(=O)OC WPBNNNQJVZRUHP-UHFFFAOYSA-L 0.000 description 1
- 229910052759 nickel Inorganic materials 0.000 description 1
- 238000002310 reflectometry Methods 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000010703 silicon Substances 0.000 description 1
- 229910052710 silicon Inorganic materials 0.000 description 1
- 238000004611 spectroscopical analysis Methods 0.000 description 1
- 239000011573 trace mineral Substances 0.000 description 1
- 235000013619 trace mineral Nutrition 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/3563—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing solids; Preparation of samples therefor
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- Spectroscopy & Molecular Physics (AREA)
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- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a method for analyzing olivine components based on a thermal infrared spectroscopy technology and application thereof, and solves the problems of complex operation, time and labor waste and high application cost when the olivine components are analyzed by combining field sampling with an electronic probe technology in a laboratory. The method mainly comprises the following implementation steps: 1. extracting a plurality of groups of olivine sample data from the open-source spectrum database, and respectively obtaining linear relations between the wavelength values corresponding to the main absorption valleys of the olivine in the thermal infrared band and the mass percentage contents of FeO and MgO in the olivine; 2. inputting the two linear relations into a thermal infrared spectrometer respectively; 3. detecting an olivine sample to be analyzed by adopting a thermal infrared spectrometer, and respectively obtaining the mass percentage contents of MgO and FeO corresponding to the main absorption valley wavelength value of the olivine sample to be analyzed; 4. and calculating the Fe/Mg molar ratio of the olivine sample to be analyzed.
Description
Technical Field
The invention belongs to the technical field of mineral chemical component identification, and particularly relates to a method for analyzing olivine components based on a thermal infrared spectroscopy technology and application thereof.
Background
Olivine, a natural stone, of formula (Mg) x ,Fe 2-x )SiO 4 The parent rock is the most main rock-making mineral of the mantle and is a silicate of magnesium and iron. The main components are iron, magnesium and silicon, and the main components can also contain manganese, nickel, cobalt and other elements. The crystals are in the form of grains, dispersed particles or aggregates of grains in the rock. Belongs to island-shaped silicate. Olivine can be altered to form serpentine or magnesite, which can be used as refractory material.
Olivine composition, mainly consisting of Mg 2 [SiO 4 ]And Fe 2 [SiO 4 ]The two end-member components form a completely homogeneous mixed crystal which may optionally contain a relatively large amount of Ca 2+ To obtain double salt CaMg SiO 4 ]-CaFe[SiO 4 ]The complete homogeneous congener series has few homogeneous congeners with the forsterite-fayalite complete homogeneous congener series.
Olivine has long been the main research object for exploring problems of magma process, thermal state of the mantle and composition of end members of the mantle as the main composition mineral of the mantle, and the mineral of the earliest crystallization of magma, and the content of trace elements can provide effective information about partial melting of the mantle and the interaction of the early crystallization process of the magma and the mantle.
When conducting geological studies using olivine, it is conventional practice to sample the olivine in the area to be studied and bring the olivine sample back to the laboratory and grind it into powder, after which it is subjected to compositional analysis using electronic probe technology.
The disadvantages of this method are: firstly, the experimental operation process is complex and tedious, and wastes time and labor; the second step is as follows: the application cost of the electronic probe technology is high.
Disclosure of Invention
The problems that the operation is complex, time-consuming and labor-consuming and the application cost is high when the olivine components are analyzed by utilizing field sampling and combining an electronic probe technology in a laboratory are solved.
The invention provides a method for analyzing olivine components based on a thermal infrared spectroscopy technology, which comprises the following implementation steps:
step 1: extracting a plurality of groups of olivine sample data from the open-source spectrum database, acquiring a linear relation between a wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of FeO in the olivine from the plurality of groups of olivine sample data, and acquiring a linear relation between a wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of MgO in the olivine from the plurality of groups of olivine sample data;
step 2: respectively inputting the linear relation between the wavelength value corresponding to the olivine in the main absorption valley and the mass percentage content of FeO in the olivine, and the linear relation between the wavelength value corresponding to the olivine in the main absorption valley and the mass percentage content of MgO in the olivine into a thermal infrared spectrometer;
and step 3: detecting the olivine sample to be analyzed by adopting the thermal infrared spectrometer in the step 2, and respectively obtaining the mass percentage contents of MgO and FeO in the olivine sample to be analyzed within the main absorption valley wavelength value of 10-11 mu m of the olivine sample to be analyzed;
and 4, step 4: and 3, calculating the Fe/Mg molar ratio of the olivine sample to be analyzed by the thermal infrared spectrometer according to the mass percentage content of MgO and FeO in the olivine sample to be analyzed, which is obtained in the step 3.
According to the invention, the linear relation between the corresponding wavelength value of the olivine in the main absorption valley and the FeO and MgO mass percentage contents in the olivine is stored, so that the Fe/Mg molar ratio of the olivine sample to be analyzed can be calculated in real time, the olivine component analysis is rapidly realized, the detection efficiency is greatly improved compared with the existing detection method, and the sample is not damaged.
Specifically, in step 1, the linear relationship between the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of FeO in the olivine is as follows:
wt FeO ＝120.5512*λ-1232.0665；
wherein, wt FeO The lambda is the wavelength value of the olivine corresponding to the main absorption valley of the thermal infrared band, and the unit is micrometer.
Specifically, in step 1, a linear relationship between a wavelength value corresponding to a main absorption valley of the olivine in the thermal infrared band in step 1 and a content of MgO in the olivine in percentage by mass is as follows:
wt MgO ＝-101.1970*λ+1091.9951；
wherein, wt FeO The content of MgO is shown in percentage by mass, and lambda is the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band, and the unit is micrometer.
Specifically, the specific calculation formula of the Fe/Mg molar ratio of the olivine sample in the step 4 is as follows: mol (Fe/Mg) ═ wt FeO /wt MgO *40.3044/71.8444；
Wherein 40.3044 is the MgO molecular weight and 71.8444 is the FeO molecular weight.
Specifically, the specific process of obtaining the linear relationship between the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of FeO in the olivine from the multiple sets of olivine sample data in step 1 is as follows:
step S1: screening a plurality of olivine sample data which simultaneously have thermal infrared spectrum data and mineral electronic probe analysis data from an open source spectrum database;
step S2: extracting wavelength values corresponding to main absorption valleys of thermal infrared bands from thermal infrared spectrum data respectively corresponding to a plurality of olivine sample data;
step S3: extracting the mass percentage content of FeO in the olivine sample from the mineral electronic probe analysis data respectively corresponding to the plurality of olivine sample data;
step S4: linear regression fitting is performed on the wavelength value and the mass percentage content extracted in step S2 and step S3 to obtain a linear relationship between the wavelength value and the mass percentage content.
Specifically, the specific process of obtaining the linear relationship between the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the content of MgO in the olivine in percentage by mass in the step 1 from the multiple sets of olivine sample data is as follows:
step S1: screening a plurality of olivine sample data which simultaneously have thermal infrared spectrum data and mineral electronic probe analysis data from an open source spectrum database;
step S2: extracting wavelength values corresponding to main absorption valleys of thermal infrared bands from thermal infrared spectrum data respectively corresponding to a plurality of olivine sample data;
step S3: extracting the MgO mass percentage content in the olivine sample from the mineral electronic probe analysis data respectively corresponding to the plurality of olivine sample data;
step S4: linear regression fitting is performed on the wavelength value and the mass percentage content extracted in step S2 and step S3 to obtain a linear relationship between the wavelength value and the mass percentage content.
Specifically, the open source spectrum database is a NASAECOSTRESS spectrum database or a USGS spectrum database.
Specifically, the spectrum range of the thermal infrared spectrometer in the step 3 includes 8-12 μm, and the spectrum resolution is better than 25 nm.
In a second aspect, the invention provides the use of a method for analysis using the above olivine components for geological research.
In a second aspect the invention provides the use of a method for analysis using the above olivine components for jewelry identification.
The invention has the beneficial effects that:
1. the invention skillfully utilizes the linear relation between the wavelength value corresponding to the main absorption valley of the olivine between 10 and 11 mu m and the mass percentage content of MgO and FeO in the olivine, and on the basis, the invention provides the method for measuring the Fe/Mg ratio of the olivine by utilizing the thermal infrared spectrum measurement technology.
2. According to the invention, the Fe/Mg ratio of the olivine is measured by skillfully utilizing the thermal infrared spectrum measurement technology, and the jewelry identification is carried out without sampling from the olivine and grinding the olivine into powder, so that unnecessary waste of the jewelry is avoided.
Drawings
FIG. 1 shows the USGS spectral library used in the examples for 15 thermal infrared spectra of olivine.
FIG. 2 shows the NASAECOSTRES spectrum library used in the examples, 15 lines of olivine thermal infrared spectra.
FIG. 3 is a linear relationship between the MgO content and the main absorption valley wavelength in the range of 10-11um of olivine in the examples.
FIG. 4 is a linear relationship between FeO content and the wavelength of main absorption valley in the range of 10-11um olivine in the example.
Detailed Description
Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, the numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention unless specifically stated otherwise.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.
Techniques, methods, and apparatus known to those of ordinary skill in the relevant art may not be discussed in detail but are intended to be part of the specification where appropriate.
In all examples shown and discussed herein, any particular value should be construed as merely illustrative, and not limiting. Thus, other examples of the exemplary embodiments may have different values.
Olivine is a major rock-making mineral and has wide application in geology. In industry, olivine, rich in magnesium, is used as a refractory material due to its high melting point. Large-particle, high-purity olivine can be used as a gem material.
The olivine can be subjected to phase transition under high pressure conditions to form a spinel-like structure of watzerlite (beta-olivine) and a spinel-like structure of linderstone (gamma-olivine), which can be used as indicator minerals for ultrahigh pressure metamorphism. The research on the phase transition process of the olivine has important significance for the understanding of the cause of discontinuous surface of the mantle, the material composition and evolution of the whole mantle, convection of the mantle, deep source earthquake of a diving plate and other earth deep dynamics problems. Meanwhile, the study on olivine as a valance rock capturing and valance body is a main way to know the composition of valance substances. The study of the features of olivine, one of the main constituent minerals of the stone meteorite, also has an indication of the origin of similar mantle material on other stars in the universe.
The embodiment provides a method for analyzing olivine components based on a thermal infrared spectroscopy technology, which mainly comprises the following implementation flows:
1. selecting a thermal infrared spectrometer with a spectral range of 8-12 μm and a spectral resolution of better than 25 nm;
2. acquiring a linear relation between a wavelength value corresponding to the main absorption valley of the olivine in a thermal infrared band and the content of MgO in the olivine in percentage by mass, and a linear relation between the wavelength value corresponding to the main absorption valley of the olivine and the content of FeO in the olivine in percentage by mass;
in order to ensure the reliability and accuracy of the acquired linear relationship data, the embodiment employs two kinds of source spectrum databases, respectively: the USGS spectral library and the ECOSTRESSSspectralbrary spectral library by NASA; the reason for choosing the main absorption trough to obtain a linear relationship is: the two types of spectrum libraries provide reflectivity measurement data, wave crests are easily influenced by external factors such as light rays and the like, and the characteristic of stable identification of minerals is not provided, but the intrinsic absorption characteristic of the minerals can be better reflected by selecting the valley-shaped characteristic of the spectrum;
the process of obtaining the linear relationship is as follows:
screening 15 samples of olivine minerals with Nicolet measurement spectra and electronic probe analysis data from a USGS spectrum library, and respectively reading the main absorption valley wavelength lambda (figure 1) and the MgO and FeO mass percentage content (table 1) in a spectrum interval of 10-11 μm;
a total of 15 samples of olivine minerals of measurement type "bidirectionalreflection" accompanied by electron probe analysis data were screened from the ECOSTRESSPECTRACELY Spectroscopy library of NASA, and the dominant absorption trough wavelength λ (FIG. 2) and their MgO, FeO content in percentage by weight (Table 2) in the spectral interval of 10-11 μm were read.
TABLE 1
TABLE 2
Performing regression operation (usually, a least square method) on the FeO content and the MgO content in the above table and the wavelength of the main absorption valley respectively to obtain a strong and significant linear relationship between the contents of the olivine MgO and the FeO and the wavelength of the main absorption valley between 10 and 11um, specifically referring to FIG. 3 and FIG. 4;
wt MgO ＝-101.1970*λ+1091.9951；(1)
wherein, wt FeO The mass percentage of MgO, wherein lambda is the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band, and the unit is micrometer;
wt FeO ＝120.5512*λ-1232.0665；(2)
wherein, wt FeO The content of FeO in percentage by mass, wherein lambda is a wavelength value corresponding to the main absorption valley of the olivine in a thermal infrared band, and the unit is micrometer;
3. inputting the obtained linear relation formulas (1) and (2) into a thermal infrared spectrometer prepared in advance, collecting the thermal infrared spectrum of the olivine sample to be analyzed by using the thermal infrared spectrometer, extracting the main absorption valley wavelength of the olivine sample within the range of 10-11um, and calculating the mass percentage content of FeO and MgO of the olivine sample to be analyzed by using the linear relation formulas (1) and (2); 4. calculating the Fe/Mg molar ratio of the olivine sample to be analyzed according to the mass percentage content of FeO and MgO in the obtained olivine sample to be analyzed;
5. the chemical formula of the olivine is (Mg) x ,Fe 2-x )SiO 4 Where X is to be determined, so that when the Fe/Mg molar ratio of the olivine sample to be analyzed is obtained, it is also equal to the chemical composition of the olivine sample to be analyzed.
When the analysis method is applied to geological exploration, a portable thermal infrared spectrometer can be adopted, the components of the olivines in a plurality of different areas can be quickly obtained on the exploration site, the site olivines do not need to be brought back to a laboratory, and the efficiency is greatly improved.
When the analysis method is applied to jewelry identification, the components of the olivine can be obtained only by detecting the olivine by using a thermal infrared spectrometer, and compared with the existing method, the method has high detection efficiency and does not need to damage the olivine.
Claims (10)
1. A method for analyzing the components of olivine based on thermal infrared spectroscopy is characterized by comprising the following steps:
step 1: extracting a plurality of groups of olivine sample data from the open-source spectrum database, acquiring a linear relation between a wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of FeO in the olivine from the plurality of groups of olivine sample data, and acquiring a linear relation between a wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of MgO in the olivine from the plurality of groups of olivine sample data;
step 2: respectively inputting the linear relation between the wavelength value corresponding to the olivine in the main absorption valley and the mass percentage content of FeO in the olivine, and the linear relation between the wavelength value corresponding to the olivine in the main absorption valley and the mass percentage content of MgO in the olivine into a thermal infrared spectrometer;
and step 3: detecting the olivine sample to be analyzed by adopting the thermal infrared spectrometer in the step 2, and respectively obtaining the mass percentage contents of MgO and FeO in the olivine sample to be analyzed, wherein the main absorption valley wavelength value of the olivine sample to be analyzed is within 10-11 mu m;
and 4, step 4: and 3, calculating the Fe/Mg molar ratio of the olivine sample to be analyzed according to the mass percentage content of MgO and FeO in the olivine sample to be analyzed, which is obtained in the step 3.
2. The method for the analysis of olivine components according to claim 1, based on thermal infrared spectroscopy, characterized in that: in the step 1, the linear relation between the corresponding wavelength value of the olivine in the main absorption valley of the thermal infrared band and the FeO content in the olivine by mass percentage is as follows:
wtFeO=120.5512*λ-1232.0665；
wherein wtFeO is the mass percentage content of FeO, and lambda is the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band, and the unit is micrometer.
3. The method for the analysis of olivine components according to claim 2, characterized in that it comprises: in the step 1, the linear relation between the corresponding wavelength value of the main absorption valley of the olivine in the thermal infrared band in the step 1 and the MgO mass percentage content in the olivine is as follows:
wtMgO=-101.1970*λ+1091.9951；
wherein wtFeO is the mass percentage content of MgO, and lambda is the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band, and the unit is micrometer.
4. A method for the analysis of olivine constituents based on thermal infrared spectroscopy techniques according to claim 3, characterized in that: the specific calculation formula of the Fe/Mg molar ratio of the olivine sample in the step 4 is as follows:
mol(Fe/Mg)=wtFeO/wtMgO*40.3044/71.8444；
wherein 40.3044 is the MgO molecular weight and 71.8444 is the FeO molecular weight.
5. A method for the analysis of the olivine composition according to any of claims 1 to 4, based on thermal infrared spectroscopy, characterized in that: the specific process of acquiring the linear relation between the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the mass percentage content of FeO in the olivine from the multiple sets of olivine sample data in the step 1 is as follows:
step S1: screening a plurality of olivine sample data which simultaneously have thermal infrared spectrum data and mineral electronic probe analysis data from an open source spectrum database;
step S2: extracting wavelength values corresponding to main absorption valleys of thermal infrared bands from thermal infrared spectrum data respectively corresponding to a plurality of olivine sample data;
step S3: extracting the mass percentage content of FeO in the olivine sample from the mineral electronic probe analysis data respectively corresponding to the plurality of olivine sample data;
step S4: linear regression fitting is performed on the wavelength value and the mass percentage content extracted in step S2 and step S3 to obtain a linear relationship between the wavelength value and the mass percentage content.
6. A method for the analysis of the olivine composition according to any of claims 1 to 4, based on thermal infrared spectroscopy, characterized in that:
the specific process of acquiring the linear relation between the wavelength value corresponding to the main absorption valley of the olivine in the thermal infrared band and the MgO mass percentage content in the olivine from the multiple sets of olivine sample data in the step 1 is as follows:
step S1: screening a plurality of olivine sample data which simultaneously have thermal infrared spectrum data and mineral electronic probe analysis data in an open source spectrum database;
step S2: extracting wavelength values corresponding to main absorption valleys of thermal infrared bands from thermal infrared spectrum data respectively corresponding to a plurality of olivine sample data;
step S3: extracting the MgO mass percentage content in the olivine sample from the mineral electronic probe analysis data respectively corresponding to the plurality of olivine sample data;
step S4: linear regression fitting is performed on the wavelength value and the mass percentage content extracted in step S2 and step S3 to obtain a linear relationship between the wavelength value and the mass percentage content.
7. The method for the analysis of olivine constituents based on thermal infrared spectroscopy according to claim 1, wherein: the open source spectrum database is a NASAECOSTRES spectrum database or a USGS spectrum database.
8. The method for the analysis of olivine components according to claim 1, based on thermal infrared spectroscopy, characterized in that: the spectral range of the thermal infrared spectrometer in the step 3 comprises 8-12 μm, and the spectral resolution is better than 25 nm.
9. Use of the method for the analysis of olivine components according to claim 1 based on thermal infrared spectroscopy for geological research.
10. Use of the method for the analysis of olivine components according to claim 1 based on thermal infrared spectroscopy for the identification of jewelry.
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