CN110702636A - Quinoa seed crude protein content standard curve and establishing method and using method thereof - Google Patents
Quinoa seed crude protein content standard curve and establishing method and using method thereof Download PDFInfo
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- 240000006162 Chenopodium quinoa Species 0.000 title claims abstract description 80
- 235000019750 Crude protein Nutrition 0.000 title claims abstract description 79
- 238000000034 method Methods 0.000 title claims abstract description 58
- 238000010561 standard procedure Methods 0.000 claims abstract description 24
- 238000012545 processing Methods 0.000 claims abstract description 15
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- 238000010219 correlation analysis Methods 0.000 claims abstract description 11
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- 238000001228 spectrum Methods 0.000 claims description 5
- 238000001514 detection method Methods 0.000 description 6
- 239000000126 substance Substances 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 235000015493 Chenopodium quinoa Nutrition 0.000 description 3
- 238000010521 absorption reaction Methods 0.000 description 3
- 238000004566 IR spectroscopy Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000035784 germination Effects 0.000 description 2
- 238000002329 infrared spectrum Methods 0.000 description 2
- 239000000203 mixture Substances 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000007696 Kjeldahl method Methods 0.000 description 1
- 238000000862 absorption spectrum Methods 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
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- 238000002474 experimental method Methods 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
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
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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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- 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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/129—Using chemometrical methods
Abstract
The invention provides a quinoa seed crude protein content standard curve and an establishing method and a using method thereof, wherein the using method comprises the following steps: selecting quinoa seeds, and measuring the percentage of water content and crude protein content of a sample by adopting a standard method; scanning one by using a near-infrared analyzer, and processing a scanning curve to obtain a near-infrared original spectrogram; processing the original spectrogram, and performing regression modeling by adopting a partial least square method to obtain a standard curve; and selecting a plurality of quinoa seeds for scanning and predicting the content of crude protein, simultaneously measuring the content of the crude protein, and then carrying out correlation analysis on the predicted value and the measured value to obtain a standard curve meeting the requirements. The use method of the obtained standard curve comprises the steps of installing the standard curve, filling a sample, measuring the content of crude protein and the like. The method establishes a standard curve with better representativeness and is used for measuring the content of the crude protein, thereby effectively solving the problems of sample damage, tedious operation, longer time consumption, higher technical requirements on operators and the like.
Description
Technical Field
The invention belongs to the technical field of protein content determination, and particularly relates to a crude protein content standard curve of a quinoa seed, and an establishing method and a using method thereof.
Background
Infrared spectroscopy (IR) is an absorption spectrum for studying molecular motion, and reflects vibrational and angular motion between atoms in a molecule. The near infrared light is an electromagnetic wave having a wavelength of 780 to 2526 nm. The infrared spectrum can be applied to the determination of the molecular structure of the compound, the identification of unknown substances and the analysis of mixture components. The chemical structure of the unknown substance can be deduced according to the position and the shape of an absorption peak in the spectrum, and the content of each component in the mixture can be determined according to the intensity of the characteristic absorption peak. After a standard curve of the relation between the absorption peak intensity and the component content is established, the component content numerical value of the sample can be quickly obtained by utilizing near infrared scanning. At present, near infrared devices are widely used for analyzing the content of nutrient substances in food and grains. However, the conventional determination method needs operations such as grinding and the like, can damage a sample, the sample is not a complete seed any more, the germination capacity is lost, the operation steps are complicated, the consumed time is long, the technical requirements on operators are high, and the content of crude protein in the quinoa seeds can not be rapidly determined in a nondestructive manner.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a quinoa seed crude protein content standard curve, and an establishing method and a using method thereof, the standard curve with better representativeness is established and used for measuring the crude protein content, and the problems of sample damage, tedious and time-consuming operation, high technical requirements on operators and the like are effectively solved.
In order to achieve the purpose, the technical scheme adopted by the invention for solving the technical problems is as follows: the method for establishing the crude protein content standard curve of the quinoa seeds comprises the following steps:
(1) selecting quinoa seeds, and measuring the water content and the crude protein content percentage of the quinoa seeds;
(2) scanning the quinoa seeds in the step (1) one by using a near-infrared analyzer, and then processing the obtained scanning curve to obtain a near-infrared original spectrogram;
(3) processing the near-infrared original spectrogram obtained in the step (2) by a Derivatives SG3+ SNV method, and performing regression modeling by a partial least square method to obtain a standard curve;
(4) scanning a plurality of quinoa seeds by using a near infrared analyzer, predicting the content of crude protein by using the standard curve obtained in the step (3), measuring the content of crude protein by using a national standard method, performing correlation analysis on the predicted value and the measured value by using the national standard method, and if R is equal to R, performing correlation analysis on the predicted value and the measured value by using the national standard method2>0.9, the obtained standard curve meets the requirement, if R is2<0.9, repeating the steps (1) to (4) until a standard curve meeting the requirement is obtained.
Further, the standard method employs NY/T3-1982 standard.
Further, the near-infrared analyzer is a wave-pass DA7200 near-infrared grain quality analyzer, and the wavelength is 950-1650 nm.
And further, when scanning one by using a near infrared analyzer, scanning each quinoa seed for 2-4 times, and calculating an average spectrum as an original spectrum.
Further, The Unscrambler software was used to process The scan curves in steps (2) and (3).
Further, the standard curve obtained in the step (4) comprises files of lima.cdb, lima.cdf and lima-danbai 1903.41M.
The quinoa seed crude protein content standard curve established by the method for establishing the quinoa seed crude protein content standard curve is adopted.
The use method of the crude protein content standard curve of the quinoa seeds comprises the following steps:
(1) installing a standard curve: installing the standard curve in a Calibs folder of a near-infrared analyzer, setting parameters, setting the repetition times and the sample loading times as 2, marking and selecting necessary samples by the samples, and completing installation;
(2) filling a sample: opening the near-infrared analyzer after the installation in the step (1), heating for 25-35 min, then loading 90-110 g of clean seeds of quinoa to be detected into a sample tray, scraping the sample, and then placing the sample tray into a position to be detected;
(3) and (3) measuring the content of crude protein: and (3) after the sample plate is placed at the position to be measured in the step (2), inputting the name of the sample, starting a near infrared analyzer to scan, emptying the sample plate after scanning is finished, reloading and confirming, recording data when the instrument is finished, and finishing measurement of the content of crude protein.
Furthermore, the water content of the quinoa clean seeds is 11-14%.
Further, the measurement time of each sample is 110-130 s.
In summary, the invention has the following advantages:
1. in the process of establishing the crude protein content standard curve of the chenopodium quinoa seeds, the seeds do not need to be damaged to carry out operations such as grinding and the like, the seeds can be better preserved, the germination capacity of the seeds can be preserved, subsequent planting or other purposes can be carried out, the detection cost is reduced to a certain extent, and the rapid nondestructive detection of the crude protein content of the chenopodium quinoa seeds is realized.
2. The technical requirements for operators are low, the operation of sample loading, sample name inputting, analyzer starting, sample recovery and the like is only needed, the determination of the content of crude protein can be carried out through simple training, the content of crude protein can be rapidly determined, the labor cost is reduced to a certain extent, and less manual operation can reduce experimental errors, so that the determination result is more accurate.
3. The detection speed is high, the time for detecting a sample by the analyzer is only about 30s, and the time for loading and recovering is only about 2min, so that the detection time can be greatly shortened and the working efficiency can be improved compared with the traditional detection method, such as a Kjeldahl method.
4. The cost is saved, except for the loss of a near-infrared analyzer, the method for determining the crude protein content of the quinoa hardly has the cost of other materials, and in the traditional determination method, a series of instrument loss and the consumption of consumables such as medicines are involved, so that the additional cost is increased; the method is simple to operate, the detection speed is high, and the determination cost of the content of the crude protein is further reduced.
Drawings
FIG. 1 is a near infrared spectrum of a quinoa grain sample;
FIG. 2 is a schematic diagram showing a regression relationship between a near-infrared predicted value of crude protein content of quinoa grains and a chemical analysis value;
fig. 3 is a schematic diagram of an external test result of a crude protein model of quinoa grain.
Detailed Description
Example 1
A method for establishing a crude protein content standard curve of a quinoa seed comprises the following steps:
(1) selecting a plurality of quinoa seeds, and measuring the water content and the crude protein content percentage of the quinoa sample one by adopting a standard method (NY/T3-1982 standard);
(2) scanning the quinoa seeds in the step (1) one by using a near-infrared grain quality analyzer of a wave-pass DA7200 model, wherein the wavelength is 950nm, each quinoa seed is scanned for 2 times, and then processing the obtained scanning curve to obtain a near-infrared original spectrogram;
(3) processing the near-infrared original spectrogram obtained in the step (2) by a Derivatives SG3+ SNV method, and performing regression modeling by a partial least square method to obtain standard curve files, wherein the standard curve files comprise a limai.cdb, a limai.cdf and a limai-danbai1903.41M file;
(4) scanning a plurality of quinoa seeds by using a near infrared analyzer, predicting the content of crude protein by using the standard curve obtained in the step (3), measuring the content of crude protein by using a national standard method, performing correlation analysis on the predicted value and the measured value by using the national standard method, and if R is equal to R, performing correlation analysis on the predicted value and the measured value by using the national standard method2>0.9, the obtained standard curve meets the requirement, if R is2<0.9, repeating the steps (1) to (4) until a standard curve meeting the requirement is obtained.
The use method of the standard curve obtained by the method for establishing the crude protein content standard curve of the quinoa seeds comprises the following steps:
(1) installing a standard curve: installing the standard curve in a Calibs folder of a near-infrared analyzer, setting parameters, setting the repetition times and the sample loading times as 2, marking and selecting necessary samples by the samples, and completing installation;
(2) filling a sample: opening the near-infrared analyzer after the installation in the step (1), heating for 25min, then loading 90 quinoa seeds to be tested (the water content is 10%) into a sample tray, scraping the sample, and then placing the sample tray into a position to be tested;
(3) and (3) measuring the content of crude protein: and (3) after the sample plate is placed at the position to be measured in the step (2), inputting the name of the sample, starting a near infrared analyzer to scan, emptying the sample plate after scanning is finished, reloading and confirming, recording data when the instrument is finished, and finishing measurement of the content of crude protein. Wherein the measuring time of each sample is 110-130 s.
Example 2
A method for establishing a crude protein content standard curve of a quinoa seed comprises the following steps:
(1) selecting a plurality of quinoa seeds, and measuring the water content and the crude protein content percentage of the quinoa sample one by adopting a standard method (NY/T3-1982 standard);
(2) scanning the quinoa seeds in the step (1) one by using a near-infrared grain quality analyzer of a wave-pass DA7200 model, wherein the wavelength is 1300nm, each quinoa seed is scanned for 3 times, and then processing the obtained scanning curve to obtain a near-infrared original spectrogram;
(3) processing the near-infrared original spectrogram obtained in the step (2) by a Derivatives SG3+ SNV method, and performing regression modeling by a partial least square method to obtain a standard curve, wherein the standard curve comprises a limai.cdb, a limai.cdf and a limai-danbai1903.41M file;
(4) scanning a plurality of quinoa seeds by using a near infrared analyzer, predicting the content of crude protein by using the standard curve obtained in the step (3), measuring the content of crude protein by using a national standard method, performing correlation analysis on the predicted value and the measured value by using the national standard method, and if R is equal to R, performing correlation analysis on the predicted value and the measured value by using the national standard method2>0.9, the obtained standard curve meets the requirement, if R is2<0.9, repeating the steps (1) to (4) until a standard curve meeting the requirement is obtained.
The use method of the standard curve obtained by the method for establishing the crude protein content standard curve of the quinoa seeds comprises the following steps:
(1) installing a standard curve: installing the standard curve in a Calibs folder of a near-infrared analyzer, setting parameters, setting the repetition times and the sample loading times as 2, marking and selecting necessary samples by the samples, and completing installation;
(2) filling a sample: opening the near-infrared analyzer after the installation in the step (1), heating for 30min, then loading 100g of clean seeds (with the water content of 12.5%) of quinoa to be detected into a sample tray, scraping the sample, and then placing the sample tray into a position to be detected;
(3) and (3) measuring the content of crude protein: and (3) after the sample plate is placed at the position to be measured in the step (2), inputting the name of the sample, starting a near infrared analyzer to scan, emptying the sample plate after scanning is finished, reloading and confirming, recording data when the instrument is finished, and finishing measurement of the content of crude protein. Wherein the measurement time for each sample was 120 s.
Example 3
A method for establishing a crude protein content standard curve of a quinoa seed comprises the following steps:
(1) selecting a plurality of quinoa seeds, and measuring the water content and the crude protein content percentage of the quinoa sample one by adopting a standard method (NY/T3-1982 standard);
(2) scanning the quinoa seeds in the step (1) one by using a near-infrared grain quality analyzer of a wave-pass DA7200 model, wherein the wavelength is 1650nm, each quinoa seed is scanned for 4 times, and then processing the obtained scanning curve to obtain a near-infrared original spectrogram;
(3) processing the near-infrared original spectrogram obtained in the step (2) by a Derivatives SG3+ SNV method, and performing regression modeling by a partial least square method to obtain a standard curve, wherein the standard curve comprises a limai.cdb, a limai.cdf and a limai-danbai1903.41M file;
(4) scanning a plurality of quinoa seeds by using a near infrared analyzer, predicting the content of crude protein by using the standard curve obtained in the step (3), measuring the content of crude protein by using a national standard method, performing correlation analysis on the predicted value and the measured value by using the national standard method, and if R is equal to R, performing correlation analysis on the predicted value and the measured value by using the national standard method2>0.9, the obtained standard curve meets the requirement, if R is2<0.9, repeating the steps (1) to (4) until a standard curve meeting the requirement is obtained.
The use method of the standard curve obtained by the method for establishing the crude protein content standard curve of the quinoa seeds comprises the following steps:
(1) installing a standard curve: installing the standard curve in a Calibs folder of a near-infrared analyzer, setting parameters, setting the repetition times and the sample loading times as 2, marking and selecting necessary samples by the samples, and completing installation;
(2) filling a sample: opening the near-infrared analyzer after the installation in the step (1), heating for 25-35 min, then loading 110g of clean seeds (with the water content of 15%) of quinoa to be detected into a sample tray, scraping the sample, and then placing the sample tray into a position to be detected;
(3) and (3) measuring the content of crude protein: and (3) after the sample plate is placed at the position to be measured in the step (2), inputting the name of the sample, starting a near infrared analyzer to scan, emptying the sample plate after scanning is finished, reloading and confirming, recording data when the instrument is finished, and finishing measurement of the content of crude protein. Wherein the measurement time for each sample was 130 s.
Examples of the experiments
A quinoa seed crude protein content standard curve is established, a plurality of quinoa seeds from Gesalaxiang, Markang, Abam and Japanese karya, Tibetan autonomous region are selected, the water content and the crude protein content percentage of quinoa samples are measured one by adopting a standard method (NY/T3-1982 standard), and the result is shown in Table 1.
TABLE 1 crude protein content of quinoa samples
The crude protein content ranges of the above samples were: 11.2% -22.7%, completely covers the distribution range of crude protein content of quinoa grains reported at present, shows that the selected sample has better representativeness, is suitable for constructing a near infrared analysis model, and the crude protein content of the modeling grain collection is shown in table 2.
TABLE 2 modeling grain-gathering crude protein content
And scanning The quinoa seeds one by using a near-infrared grain quality analyzer of a wave-flux DA7200 model, wherein The wavelength is 950-1650 nm, each quinoa seed is scanned for 3 times to obtain a continuous scanning curve of The sample, and processing by The Unscrambler software system to obtain a near-infrared spectrogram of The quinoa seed sample, which is shown in figure 1.
And processing the near-infrared spectrogram by a Derivatives SG3+ SNV method, and performing regression modeling by a partial least square method to obtain a standard curve, wherein the standard curve consists of 3 files and is respectively as follows: limai.cdb, limai.cdf, limai-danbai1903.41m, and the results of regression analysis of the infrared prediction values and chemical analysis are shown in fig. 2. As can be seen from FIG. 2, the prediction value determines the coefficient (R)2) 0.9474, the measured component concentration analysis error (RMSE) is 0.47, which shows that the difference between the predicted value and the true value is small, the model effect is good, and the method can be practically applied.
To further verify the accuracy of the quinoa near-infrared model, an additional external test was performed with 28 samples. Scanning on a near infrared analyzer, calculating a predicted value of the crude protein content of the grains of the detected sample through a model, and comparing the predicted value with a national standard method measured value by using DPS7.05 software, wherein the result is shown in figure 3.
As can be seen from FIG. 3, there is a very significant correlation (R) between the national standard measurement of crude protein content of grains of 28 Chenopodium quinoa samples and the predicted value of the model20.9228). The single-factor analysis of variance shows that no significant difference exists between the national standard method measured value and the model predicted value (p is 0.6857), which indicates that the model has better reliability.
The standard curve established by the method is used for measuring the crude protein content of the quinoa seeds. And opening a near infrared analyzer of the Dowtong DA7200 model, and copying the standard curve into a folder of C: \ pda7200\ Calibs. Opening the near-infrared operating software, and clicking: project-create new project-name then top right select analyze, point next-skip save spectral point next-select cdf file (limai. cdf) corresponding project and check on frame of save prediction data, click next-skip mahalanobis distance set-slope intercept skip-parameter part, set repetition and sample loading times as 2, sample mark select necessary sample, click next until completion.
Opening the mounted near-infrared analyzer, heating for 30min, then loading 100g of quinoa seeds to be tested (the water content is 12.5%) into a sample tray, scraping the sample, and then placing the sample tray into a position to be tested; and after the sample name is input, starting the near-infrared analyzer for scanning, emptying the sample tray after the scanning is finished, reloading and confirming, and recording data when the instrument works to finish the measurement of the content of the crude protein. The measurement time for each sample was about 120 s.
According to the standard curve establishing method and the using method provided by the invention, a standard curve with better representativeness is established and used for measuring the content of crude protein, and the problems of sample damage, tedious and long operation, high technical requirement on operators and the like are effectively solved.
While the present invention has been described in detail with reference to the illustrated embodiments, it should not be construed as limited to the scope of the present patent. Various modifications and changes may be made by those skilled in the art without inventive step within the scope of the appended claims.
Claims (10)
1. The method for establishing the crude protein content standard curve of the quinoa seeds is characterized by comprising the following steps of:
(1) selecting a plurality of quinoa seeds, and measuring the water content and the crude protein content percentage of the quinoa seeds;
(2) scanning the quinoa seeds in the step (1) one by using a near-infrared analyzer, and then processing the obtained scanning curve to obtain a near-infrared original spectrogram;
(3) processing the near-infrared original spectrogram obtained in the step (2) by a Derivatives SG3+ SNV method, and performing regression modeling by a partial least square method to obtain a standard curve;
(4) scanning a plurality of quinoa seeds by using a near infrared analyzer, predicting the content of crude protein by using the standard curve obtained in the step (3), measuring the content of crude protein by using a national standard method, performing correlation analysis on the predicted value and the measured value by using the national standard method, and if R is equal to R, performing correlation analysis on the predicted value and the measured value by using the national standard method2>0.9, obtaining the standard kojiLine meeting the requirement, if R2<0.9, repeating the steps (1) to (4) until a standard curve meeting the requirement is obtained.
2. The method for establishing the crude protein content standard curve of the quinoa seeds as claimed in claim 1, wherein in step (1), the water content and the crude protein content percentage of the quinoa seeds are determined by NY/T3-1982 standard method.
3. The method for establishing the crude protein content standard curve of the quinoa seeds as claimed in claim 1, wherein the near infrared analyzer is a wave-pass DA7200 type near infrared grain quality analyzer, and the wavelength is 950-1650 nm.
4. The method for establishing the crude protein content standard curve of the quinoa seeds as claimed in claim 1, wherein each quinoa seed is scanned 2-4 times while scanning one by one with a near infrared analyzer, and the average spectrum is calculated as the original spectrum.
5. The method for establishing a crude protein content standard curve of quinoa seeds as claimed in claim 1, wherein The step (2) and (3) are performed by processing The scanning curve with The Unscrambler software.
6. The method for establishing a crude protein content standard curve of quinoa seeds as claimed in claim 1, wherein the standard curve obtained in step (4) comprises lima. cdb, lima. cdf, lima-danbai 1903.41m files.
7. The quinoa seed crude protein content standard curve established by the method for establishing the quinoa seed crude protein content standard curve according to any one of claims 1 to 6.
8. The method for using the crude protein content standard curve of quinoa seed as claimed in claim 7, which comprises the following steps:
(1) installing a standard curve: installing the standard curve in a Calibs folder of a near-infrared analyzer, setting parameters, setting the repetition times and the sample loading times as 2, marking and selecting necessary samples by the samples, and completing installation;
(2) filling a sample: opening the near-infrared analyzer after the installation in the step (1), heating for 25-35 min, then loading 90-110 g of clean seeds of quinoa to be detected into a sample tray, scraping the sample, and then placing the sample tray into a position to be detected;
(3) and (3) measuring the content of crude protein: and (3) after the sample plate is placed at the position to be measured in the step (2), inputting the name of the sample, starting a near infrared analyzer to scan, emptying the sample plate after scanning is finished, reloading and confirming, recording data when the instrument is finished, and finishing measurement of the content of crude protein.
9. The use method of the crude protein content standard curve of quinoa seed as claimed in claim 8, wherein the water content of quinoa seed is 11-14%.
10. The method for using the crude protein content standard curve of quinoa seed as claimed in claim 8, wherein the measurement time of each sample is 110-130 s.
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