CN112649393A - Infrared spectrum-based method for identifying small ornament of dalbergia odorifera - Google Patents
Infrared spectrum-based method for identifying small ornament of dalbergia odorifera Download PDFInfo
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- 238000002329 infrared spectrum Methods 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 32
- 241000657528 Dalbergia odorifera Species 0.000 title claims abstract description 27
- IOLCXVTUBQKXJR-UHFFFAOYSA-M potassium bromide Chemical compound [K+].[Br-] IOLCXVTUBQKXJR-UHFFFAOYSA-M 0.000 claims abstract description 58
- 239000000843 powder Substances 0.000 claims abstract description 19
- 238000001228 spectrum Methods 0.000 claims abstract description 15
- 241000737257 Pteris <genus> Species 0.000 claims abstract description 13
- 238000012360 testing method Methods 0.000 claims abstract description 13
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- 238000012937 correction Methods 0.000 claims abstract description 8
- 238000002156 mixing Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000006243 chemical reaction Methods 0.000 claims abstract description 4
- 238000010521 absorption reaction Methods 0.000 claims description 19
- 238000002834 transmittance Methods 0.000 claims description 15
- 240000000513 Santalum album Species 0.000 claims description 13
- 235000008632 Santalum album Nutrition 0.000 claims description 13
- 239000002245 particle Substances 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000009475 tablet pressing Methods 0.000 claims description 5
- 241000750718 Pterocarpus santalinus Species 0.000 claims description 2
- 238000002835 absorbance Methods 0.000 claims description 2
- 238000004566 IR spectroscopy Methods 0.000 claims 4
- 239000002023 wood Substances 0.000 abstract description 20
- 239000000463 material Substances 0.000 abstract description 6
- 230000009467 reduction Effects 0.000 abstract description 4
- 238000005516 engineering process Methods 0.000 description 8
- 241000894007 species Species 0.000 description 7
- 239000000203 mixture Substances 0.000 description 6
- 244000086363 Pterocarpus indicus Species 0.000 description 5
- 235000009984 Pterocarpus indicus Nutrition 0.000 description 5
- 238000007790 scraping Methods 0.000 description 3
- 239000000126 substance Substances 0.000 description 3
- 241000783428 Achillea wilsoniana Species 0.000 description 2
- 230000008569 process Effects 0.000 description 2
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- AXDJCCTWPBKUKL-UHFFFAOYSA-N 4-[(4-aminophenyl)-(4-imino-3-methylcyclohexa-2,5-dien-1-ylidene)methyl]aniline;hydron;chloride Chemical compound Cl.C1=CC(=N)C(C)=CC1=C(C=1C=CC(N)=CC=1)C1=CC=C(N)C=C1 AXDJCCTWPBKUKL-UHFFFAOYSA-N 0.000 description 1
- 238000004497 NIR spectroscopy Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000000701 chemical imaging Methods 0.000 description 1
- 239000003153 chemical reaction reagent Substances 0.000 description 1
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- 238000001514 detection method Methods 0.000 description 1
- 238000004043 dyeing Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004817 gas chromatography Methods 0.000 description 1
- 239000011121 hardwood Substances 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 231100000053 low toxicity Toxicity 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003908 quality control method Methods 0.000 description 1
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- 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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- 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
- G01N2021/3572—Preparation of samples, e.g. salt matrices
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Abstract
The invention relates to an identification method of small ornament of dalbergia odorifera based on infrared spectrum, and belongs to the technical field of wood identification. The method comprises the following steps: step 1: grinding and mixing 1-5mg of sample powder of the small ornament of the dalbergia odorifera to be detected with potassium bromide, pressing into a sample slice, and preparing the potassium bromide slice at the same time; step 2: firstly, testing an infrared spectrum background picture; then testing the infrared spectrogram of the sample; and step 3: carrying out coordinate conversion and baseline correction processing on the original map; and 4, step 4: and comparing the infrared spectrum of the sample with the standard spectrum, and respectively comparing the peak position, shape, size and correlation coefficient of the characteristic peak existing in the infrared spectrum. The method has the advantages of small required sample amount, great reduction of damage to artware, simple operation, objective and accurate experimental result, and capability of realizing rapid identification of the material of the small ornament of the pteris indicus.
Description
Technical Field
The invention relates to the technical field of wood identification, and particularly provides a method for identifying small ornament of dalbergia odorifera based on infrared spectrum.
Background
The yellow sandalwood of the mixed toe, commonly known as the Dalmatian rosewood, is one of the most precious hardwoods in the world at present. It is popular with people because of its slow forming material, hard texture, beautiful pattern and pleasant smell. The small ornament made of the dalbergia odorifera wood has bright color and unique ornamental and collection values. In the market, the method uses the species similar to the Pterocarpus indicus tree to counterfeit the Pterocarpus indicus, which brings great trouble and economic loss to the enthusiasts and collectors of the artware of the Pterocarpus indicus.
The traditional wood identification method mainly identifies the microscopic identification method through a microscope according to the shapes and arrangement modes of various cells and tissues of wood, and has the defects that a sample is damaged (1 cm needs to be cut off when sampling)3Left and right wood samples), the detection is long in time consumption and high in cost, the processes of softening treatment, slicing, dyeing and the like are included, the time is generally 2 weeks, and the identification are carried out by professionals with abundant experience, so that certain subjectivity is realized, and the seeds are difficult to identify at present. The existing wood identification method mainly identifies wood under a microscope according to the shapes and the arrangements of various cells and tissues of the wood. Recently developed tree species identification technologies include a DNA labeling method (patent publication No. CN 104404131A; CN 105132541A; CN 105087798A; CN 105695610A; CN 105838806A; CN 103898094A; CN 105779633A; CN105779632A), a near infrared spectroscopy technology (patent publication No. CN 1936552A; CN106092957A), a gas chromatography technology (patent publication No. CN 101539545A; CN103308637A), and a hyperspectral imaging technology (patent publication No. CN 105117730A).
However, the technology of classifying the constituent elements of wood needs to rely on laboratory analysis equipment, most of the wood needs to be ground, the integrity of the wood is damaged, the analysis cost is high, the analysis time is long, and the results need to be judged by experienced analysts; the existing wood identification technology based on the near infrared spectrum technology needs to process a wood sample, and the directly obtained sample is used for detecting the problems that the absorption band is easy to widen, the resolution effect is influenced and the like.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a method for identifying small ornament of dalbergia odorifera based on infrared spectrum. Taking a small amount of powder of the small ornament sample of the wingceltis amethystoides, grinding the powder and potassium bromide powder to a certain mesh number, tabletting, measuring the infrared spectrum of a tabletting sample, and judging whether the infrared spectrum of the sample is consistent with that of the wingceltis amethystoides standard product or not according to the characteristic absorption peak information of the infrared spectrogram. The method has the advantages of small required sample amount, great reduction of damage to artware, simple operation, objective and accurate experimental result, and capability of realizing rapid identification of the material of the small ornament of the pteris indicus.
In order to solve the technical problems, the invention provides the following technical scheme:
the invention provides an identification method of pteris santalina small ornament based on infrared spectrum, which comprises the following steps:
step 1: grinding and mixing 1-5mg of sample powder of the small ornament of the dalbergia odorifera to be detected with potassium bromide, pressing into a sample slice, and preparing the potassium bromide slice at the same time;
step 2: firstly, placing a potassium bromide slice on a sample rack in a sample chamber of an infrared spectrometer for testing to obtain an infrared spectrum background picture of a tested sample; then placing the sample slice on a sample rack in a sample chamber of an infrared spectrometer for testing to obtain an infrared spectrogram of the tested sample;
and step 3: performing coordinate conversion and baseline correction processing on the original map, and then performing correlation coefficient analysis by means of infrared spectrum software;
and 4, step 4: comparing the infrared spectrum of the sample with a standard spectrum, and respectively comparing the peak position, shape and size of a characteristic peak existing in the infrared spectrum with a correlation coefficient; when the peak shape, peak position and intensity of the specific absorption peak are consistent with those of the standard product, and the correlation coefficient is higher than 0.95, the cross-toe yellow sandalwood is obtained, otherwise, the cross-toe yellow sandalwood is obtained as a counterfeit tree.
Further, the step 1 specifically comprises: grinding 100mg of spectrally pure potassium bromide, transferring the powder into a tablet pressing die, assembling the die, putting the die into a tablet press, applying pressure of 8t, and unloading pressure after 1min to obtain transparent or semitransparent potassium bromide slices; and grinding and mixing 1-5mg of another sample and 100mg of potassium bromide uniformly, and pressing into a sample slice.
Further, the particle size of the ground sample and the potassium bromide powder is less than 2.5 μm. . So as to reduce baseline drift caused by scattering of sample particles, but not to excessively grind so as to avoid excessively adsorbing water vapor in the air and causing interference on the spectrum of the sample.
Further, the step 1 is carried out in the irradiation range of an infrared lamp.
Further, in the step 2, the scanning range of the infrared spectrum is set to be 4000--1Spectral resolution of 4cm-1The scans are accumulated 16 times.
Further, placing the sample slice on a sample rack in a sample chamber of the infrared spectrometer for testing to obtain an infrared spectrogram of the tested sample; observing the obtained infrared spectrogram, and adjusting the dosage of the sample to ensure that the transmittance of the strongest absorption peak in the sample spectrum is 10 percent, and the difference between the transmittance of the strongest absorption peak and the transmittance of the baseline is more than 60 percent.
Further, in the step 3, the coordinate axis of the original infrared spectrum is converted into an absorbance a, and the baseline is adjusted to 0 after the baseline correction is completed.
Further, in the step 4, when the similarity of the peak position, the peak shape and the peak height of the characteristic peak of the first pterygoid dalwood sample and the standard product is lower than 90%, the pterygoid dalwood sample is judged to be not the pterygoid dalwood; the similarity exceeds 90%, and then the correlation coefficients are compared; the correlation coefficient is higher than 0.9500, and the crosstoe yellow sandalwood is judged; the correlation coefficient is lower than 0.9000, and the cross-toe yellow sandalwood is judged not to be cross-toe yellow sandalwood; the correlation coefficient is between 0.9000 and 0.9500, and the slicing method is required to judge whether to apodize the Dalbergia odorifera L.
The infrared fingerprint spectrum is similar to human fingerprints and has specificity and characteristics. Storing the atlas in a computer can be used for fast and correct variety and authenticity identification by using a quality control retrieval program. The technology has the characteristics of simplicity, convenience, rapidness, accuracy, economy, use of low-toxicity reagents, good repeatability, large data information amount, high spectrum specificity and wide applicability.
The mid-infrared region is the fundamental frequency vibration absorption region of molecules, and the fundamental frequency absorption bands of most organic and inorganic substances appear in the region, so that the mid-infrared spectrum contains more material structure information. The growth period of the dalbergia odorifera is long, a large amount of secondary metabolites are accumulated in heartwood, the specific chemical components have characteristic infrared spectrum absorption peaks in a middle infrared region, and the infrared spectrum absorption peaks are compared with the infrared fingerprint spectrum of the standard product of the dalbergia odorifera, so that the rapid identification of the dalbergia odorifera product can be carried out.
Compared with the prior art, the invention has the following beneficial effects:
the method for identifying the authenticity of the small ornament of the dalbergia odorifera adopts the middle infrared region of the infrared spectrum for identification, and has the following advantages: the sample amount required for identification is only about 1-5mg, and the sample to be detected is not damaged. The infrared spectrometer has the advantages of high analysis speed, convenience and quickness in operation, accurate and objective cost reduction result and suitability for market popularization.
Drawings
FIG. 1 is an infrared spectrum of a Dalbergia odorifera standard;
FIG. 2 is an infrared spectrum of the small ornament of Achillea Wilsoniana of example 1 of the present invention;
FIG. 3 is an infrared spectrum of the small ornament of Achillea Wilsoniana of example 2 of the present invention;
FIG. 4 is a graph comparing the correlation coefficients of Dalbergia odorifera and its counterfeit species.
Detailed Description
In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following detailed description is made with reference to the accompanying drawings and specific embodiments.
The materials used in the present invention are commercially available unless otherwise specified.
The invention provides an identification method of pteris santalina small goods based on infrared spectrum, and the specific embodiment is as follows.
Example 1
An infrared spectrum-based method for identifying small ornament of dalbergia odorifera comprises the following steps:
step 1: turning on the infrared lamp, and obtaining a spectrum of about 100mg in the irradiation range of the infrared lampGrinding pure potassium bromide to particle size less than 2.5 μm, transferring the powder into a tablet pressing mold, assembling the mold, putting the whole into a tablet press, applying pressure of about 8t, and unloading after about 1min to obtain transparent or semitransparent potassium bromide slices. Placing the potassium bromide slice on a sample rack in a sample chamber of an infrared spectrometer for testing, wherein the scanning range of the infrared spectrum is set to be 4000-400 cm--1Spectral resolution of 4cm-1And accumulating and scanning for 16 times to obtain an infrared spectrum background image of the measured sample.
Step 2: scraping about 1-5mg of wood powder sample from a hidden part of a small ornament sample of the dalbergia odorifera to be detected, grinding and mixing the wood powder sample with about 100mg of potassium bromide uniformly until the particle size is less than 2.5 mu m, and placing the mixture into a die to press the mixture into a sample slice. The first sample piece was placed on a sample holder in the sample chamber of the infrared spectrometer and tested, with the parameters kept consistent with the background, to obtain an infrared spectrum of the first sample (fig. 2). Observing the obtained infrared spectrogram, and adjusting the dosage of the sample to ensure that the transmittance of the strongest absorption peak in the sample spectrum is about 10 percent, and the difference between the transmittance of the strongest absorption peak and the transmittance of the baseline is more than 60 percent.
And step 3: carrying out coordinate conversion and baseline correction processing on the original map;
and 4, step 4: comparing the infrared spectrum (figure 2) of the sample of the wingceltis amethystoides with the standard spectrum (figure 1), the characteristic peak position in figure 1 appears at 3401cm-1、2935cm-1、1739cm-1、1600cm-1、1510cm-1、1461cm-1、1424cm-1、1371cm-1、1328cm-1、1269cm-1、1229cm-1、1159cm-1、1119cm-1、1033cm-1、898cm-1、837cm-1、755cm-1、701cm-1、666cm-1、602cm-1The characteristic peak position of FIG. 2 appears at 33401cm-1、2935cm-1、1739cm-1、1600cm-1、1510cm-1、1461cm-1、1424cm-1、1371cm-1、1328cm-1、1269cm-1、1229cm-1、1159cm-1、1119cm-1、1033cm-1、898cm-1、837cm-1、755cm-1、701cm-1、666cm-1、602cm-1Similarity of the peak position, the peak shape and the peak height of the characteristic peak of the first pterocarpus santalinus sample and the standard substance exceeds 90% through a multivariate statistical analysis method, and then correlation coefficients are compared; the correlation coefficient with the standard was 0.98, and it was judged to be dalbergia odorifera.
Example 2
An infrared spectrum-based method for identifying small ornament of dalbergia odorifera comprises the following steps:
step 1: opening an infrared lamp, grinding about 100mg of spectrally pure potassium bromide within the irradiation range of the infrared lamp to the particle size of less than 2.5 microns, transferring the powder into a tablet pressing die, putting the die into a tablet press integrally, applying pressure of about 8t, and unloading the pressure after about 1min to obtain the transparent or semitransparent potassium bromide slice. Placing the potassium bromide slice on a sample rack in a sample chamber of an infrared spectrometer for testing, wherein the scanning range of the infrared spectrum is set to be 4000-400 cm--1Spectral resolution of 4cm-1And accumulating and scanning for 16 times to obtain an infrared spectrum background image of the measured sample.
Step 2: scraping about 1-5mg of wood powder sample from the concealed part of the two samples of the small ornament of the Pterocarpus indicus to be detected, grinding and mixing the wood powder sample with about 100mg of potassium bromide uniformly until the particle size is less than 2.5 mu m, and placing the mixture into a die to press the mixture into a sample slice. And placing the second sample slice on a sample rack in a sample chamber of the infrared spectrometer for testing to obtain an infrared spectrogram of the second sample. Observing the obtained infrared spectrogram, and adjusting the dosage of the sample to ensure that the transmittance of the strongest absorption peak in the sample spectrum is about 10 percent, and the difference between the transmittance of the strongest absorption peak and the transmittance of the baseline is more than 60 percent.
And step 3: the original atlas is subjected to coordinate transformation and baseline correction processing, as shown in fig. 3.
And 4, step 4: comparing the infrared spectrum (FIG. 3) of the sample of the wingceltis amethystoides with the standard spectrum (FIG. 1), the characteristic peak position in FIG. 1 appears at 3401cm-1、2935cm-1、1739cm-1、1600cm-1、1510cm-1、1461cm-1、1424cm-1、1371cm-1、1328cm-1、1269cm-1、1229cm-1、1159cm-1、1119cm-1、1033cm-1、898cm-1、837cm-1、755cm-1、701cm-1、666cm-1、602cm-1The characteristic peak position of FIG. 3 appears at 3352cm-1、2933cm-1、1737cm-1、1626cm-1、1512cm-1、1461cm-1、1425cm-1、1374cm-1、1318cm-1、1248cm-1、1159cm-1、1112cm-1、1052cm-1、1035cm-1、897cm-1、837cm-1、782cm-1、667cm-1、609cm-1、556cm-1、519cm-1And the similarity of the peak position, the peak shape and the peak height of the characteristic peak of the second pterygoid ornament sample and the standard product is less than 90%, and a certain difference exists, so that the second pterygoid ornament sample is judged to be not the pterygoid.
Example 3
An infrared spectrum-based method for identifying small ornament of dalbergia odorifera comprises the following steps:
step 1: opening an infrared lamp, grinding about 100mg of spectrally pure potassium bromide within the irradiation range of the infrared lamp to the particle size of less than 2.5 microns, transferring the powder into a tablet pressing die, putting the die into a tablet press integrally, applying pressure of about 8t, and unloading the pressure after about 1min to obtain the transparent or semitransparent potassium bromide slice. Placing the potassium bromide slice on a sample rack in a sample chamber of an infrared spectrometer for testing, wherein the scanning range of the infrared spectrum is set to be 4000-400 cm--1Spectral resolution of 4cm-1And accumulating and scanning for 16 times to obtain an infrared spectrum background image of the measured sample.
Step 2: scraping about 1-5mg of wood powder samples from three cross-toe yellow sandalwood standard samples and four common fake tree species samples, respectively grinding and uniformly mixing the wood powder samples with about 100mg of potassium bromide until the particle size is less than 2.5 mu m, and placing the mixture into a mold to press the mixture into sample slices. And respectively placing the three sample slices on sample racks in a sample chamber of the infrared spectrometer for testing. Observing the obtained infrared spectrogram, and adjusting the dosage of the sample to ensure that the transmittance of the strongest absorption peak in the sample spectrum is about 10 percent, and the difference between the transmittance of the strongest absorption peak and the transmittance of the baseline is more than 60 percent.
And step 3: the original atlas is subjected to coordinate transformation and baseline correction processing, as shown in fig. 4.
And 4, step 4: and (3) performing correlation coefficient analysis on the infrared spectrum of the dalbergia odorifera standard product and the infrared spectra of the three detected dalbergia odorifera standard products and four common fake tree species, wherein the result is shown in fig. 4. The correlation coefficients of the infrared spectrums of the three paradoloma odoratum samples and the infrared spectrum of the standard fuchsin of the paradoloma odoratum are respectively 0.98, 0.97 and 0.95, and the correlation coefficients of the infrared spectrums of the other four fake tree species and the infrared spectrum of the standard paradoloma odoratum are lower than 0.9. Therefore, tree species determination can also be performed by correlation coefficient comparison.
In conclusion, whether the infrared spectrums of the sample and the cross-toe yellow sandalwood standard product are consistent or not is judged according to the characteristic absorption peak information of the infrared spectrogram. The method has the advantages of small required sample amount, great reduction of damage to artware, simple operation, objective and accurate experimental result, and capability of realizing rapid identification of the material of the small ornament of the pteris indicus.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. An infrared spectrum-based method for identifying small ornament of dalbergia odorifera, which is characterized by comprising the following steps:
step 1: grinding and mixing 1-5mg of sample powder of the small ornament of the dalbergia odorifera to be detected with potassium bromide, pressing into a sample slice, and preparing the potassium bromide slice at the same time;
step 2: firstly, placing a potassium bromide slice on a sample rack in a sample chamber of an infrared spectrometer for testing to obtain an infrared spectrum background picture of a tested sample; then placing the sample slice on a sample rack in a sample chamber of an infrared spectrometer for testing to obtain an infrared spectrogram of the tested sample;
and step 3: performing coordinate conversion and baseline correction processing on the original map, and then performing correlation coefficient analysis by means of infrared spectrum software;
and 4, step 4: comparing the infrared spectrum of the sample with a standard spectrum, and respectively comparing the peak position, shape and size of a characteristic peak existing in the infrared spectrum with a correlation coefficient; when the peak shape, peak position and intensity of the specific absorption peak are consistent with those of the standard product, and the correlation coefficient is higher than 0.95, the cross-toe yellow sandalwood is obtained, otherwise, the cross-toe yellow sandalwood is obtained as a counterfeit tree.
2. The method for identifying pteris dalbergia odorifera small ornaments based on infrared spectrum according to claim 1, wherein the step 1 specifically comprises: grinding 100mg of spectrally pure potassium bromide, transferring the powder into a tablet pressing die, assembling the die, putting the die into a tablet press, applying pressure of 8t, and unloading pressure after 1min to obtain transparent or semitransparent potassium bromide slices; and grinding and mixing 1-5mg of another sample and 100mg of potassium bromide uniformly, and pressing into a sample slice.
3. The method of identifying an interdigitated pterocarpus santalinus small ornament based on infrared spectroscopy as claimed in claim 2, wherein the particle size of the milled sample and the potassium bromide powder is less than 2.5 μm.
4. The method of identifying pteris dalbergia odorifera based on infrared spectroscopy as claimed in claim 2, wherein step 1 is performed within the range of infrared light.
5. The method as claimed in claim 1, wherein the step 2 is performed in a scanning range of 4000-400cm-1Spectral resolution of 4cm-1The scans are accumulated 16 times.
6. The method of identifying pteris santalina pavosa based on infrared spectroscopy as claimed in claim 5, wherein the sample slice is placed on a sample holder in a sample chamber of an infrared spectrometer for testing to obtain an infrared spectrum of the sample; observing the obtained infrared spectrogram, and adjusting the dosage of the sample to ensure that the transmittance of the strongest absorption peak in the sample spectrum is 10 percent, and the difference between the transmittance of the strongest absorption peak and the transmittance of the baseline is more than 60 percent.
7. The method for identifying pteris santalina tatarinowii goods based on infrared spectrum according to claim 1, wherein in the step 3, the coordinate axis of the original infrared spectrum is converted into absorbance A, and the baseline is adjusted to 0 after baseline correction is completed.
8. The method for identifying pteris odorifera goods based on infrared spectroscopy as claimed in claim 1, wherein in step 4, when the similarity of the peak position, the peak shape and the peak height of the characteristic peak of the pteris odorifera goods sample and the standard is less than 90%, it is determined that the pteris odorifera goods sample is not the pteris odorifera goods; the similarity exceeds 90%, and then the correlation coefficients are compared; the correlation coefficient is higher than 0.9500, and the crosstoe yellow sandalwood is judged; the correlation coefficient is lower than 0.9000, and the cross-toe yellow sandalwood is judged not to be cross-toe yellow sandalwood; the correlation coefficient is between 0.9000 and 0.9500, and the slicing method is required to judge whether to apodize the Dalbergia odorifera L.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070131862A1 (en) * | 2005-12-13 | 2007-06-14 | Huber Engineered Woods L.L.C. | Method using NIR spectroscopy to monitor components of engineered wood products |
| CN103674887A (en) * | 2013-12-16 | 2014-03-26 | 张雪峰 | Analysis identification method of ophiocordyceps sinensis through infrared spectrum |
| CN105588892A (en) * | 2015-12-09 | 2016-05-18 | 中山市中广测协同创新中心 | Method for identifying dalbergia cochinchinensis species in microdamage mode based on fingerprint spectrum |
| WO2016150130A1 (en) * | 2015-03-25 | 2016-09-29 | 山东翰能高科科技有限公司 | Hybrid purity identification method based on near infrared spectrum |
| CN107091815A (en) * | 2017-05-05 | 2017-08-25 | 张方达 | A kind of method for identifying rosewood |
| CN108519361A (en) * | 2018-04-11 | 2018-09-11 | 南京市产品质量监督检验院 | A kind of method that fluorescence spectrum differentiates cochin yellow wingceltis and Ovshinsky yellow wingceltis seeds |
-
2021
- 2021-01-14 CN CN202110046361.XA patent/CN112649393A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070131862A1 (en) * | 2005-12-13 | 2007-06-14 | Huber Engineered Woods L.L.C. | Method using NIR spectroscopy to monitor components of engineered wood products |
| CN103674887A (en) * | 2013-12-16 | 2014-03-26 | 张雪峰 | Analysis identification method of ophiocordyceps sinensis through infrared spectrum |
| WO2016150130A1 (en) * | 2015-03-25 | 2016-09-29 | 山东翰能高科科技有限公司 | Hybrid purity identification method based on near infrared spectrum |
| CN105588892A (en) * | 2015-12-09 | 2016-05-18 | 中山市中广测协同创新中心 | Method for identifying dalbergia cochinchinensis species in microdamage mode based on fingerprint spectrum |
| CN107091815A (en) * | 2017-05-05 | 2017-08-25 | 张方达 | A kind of method for identifying rosewood |
| CN108519361A (en) * | 2018-04-11 | 2018-09-11 | 南京市产品质量监督检验院 | A kind of method that fluorescence spectrum differentiates cochin yellow wingceltis and Ovshinsky yellow wingceltis seeds |
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