CN102279168A - Near-infrared spectroscopic technology-based method for fast and undamaged analysis of nutritional quality of whole cottonseed - Google Patents
Near-infrared spectroscopic technology-based method for fast and undamaged analysis of nutritional quality of whole cottonseed Download PDFInfo
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Abstract
The invention provides a novel method for fast and undamaged analysis of nutritional quality of a cottonseed. The method comprises the following steps of: (1) selecting a whole cottonseed of a representational cotton variety as a testing sample; (2) acquiring near-infrared spectroscopic data of the whole cottonseed by using a near-infrared spectrometer, wherein the spectral scanning range is 800-2500 nm; (3) accurately analyzing the nutritional quality of the cottonseed by using the international standard method; (4) carrying out pretreatment on the near-infrared spectroscopic data; (5) selecting spectral variables and eliminating null-information variables; (6) modeling a correction model for a near-infrared spectrum and the nutritional ingredient content of the whole cottonseed by using a multivariate correction method; (7) evaluating the performance of the correction model; and (8) acquiring near-infrared spectroscopic data of a whole cottonseed to be tested and predicting the nutritional quality of the whole cottonseed to be tested by using the modeled correction model after the spectroscopic data is pretreated. The method provided by the invention has the advantages of fast analyzing speed, no damage to samples, no need of sample pretreatment, high detecting accuracy and capability of simultaneously analyzing a plurality of nutritional quality ingredients of the cottonseed, thus an analytic method which is used for cotton breeding and cottonseed detecting and has the advantages of convenience, fastness and high efficiency is provided.
Description
Technical field
The present invention relates to a kind of method of analyzing whole grain cottonseed nutritional quality based on the near-infrared spectrum technique quick nondestructive.Be specifically related to adopt near infrared spectrum and the polynary alignment technique of Chemical Measurement that whole grain cottonseed nutritional quality protein and oil content are carried out the method that quick nondestructive is analyzed.
Background technology
Cottonseed is the of paramount importance secondary product that produces in the cotton production, its annual cottonseed enormous amount of producing.According to statistics, the cotton fiber of every production 1kg will produce the cottonseed of 1.65kg.Containing rich in protein 27.83%～45.6% and oil content 28.24%～44.05% in the cottonseed, is huge edible oil and potential plant protein resource.Cotton seed protein amino acid is formed rationally, and except that methionine content was low slightly, other essential amino acids in the cotton seed protein all reached the proposed standard of the FAO of FAO (Food and Agriculture Organization of the United Nation).Also be rich in multiple unsaturated fatty acid in the cottonseed, comprise the essential fatty acid of keeping human body normal body health---linoleic acid, these unsaturated fatty acids have reducing blood lipid, effect such as hypotensive.Therefore cottonseed has the wide development application prospect in fields such as agricultural, food, medicine, health products.And the detection of these index of quality at present is based on the chemical method of routine, Kjeldahl as the protein content detection, the soxhlet extraction that oil content detects, sensitivity of analytical method that these are traditional and degree of accuracy height, but all exist sample prepare loaded down with trivial details, analysis time long, detect the cost height, consume problem such as chemical reagent in a large number.Near-infrared spectrum technique has solved the problems referred to above effectively in conjunction with the Chemical Measurement multivariate calibration methods, for the detection of whole grain cottonseed nutritional quality provides a kind of quick, convenient, nondestructive analysis method efficiently.
Summary of the invention
The objective of the invention is the deficiency that exists in the existing chemical analysis technology, a kind of method of analyzing whole grain cottonseed nutritional quality based on the near-infrared spectrum technique quick nondestructive is provided.
The step of method of analyzing whole grain cottonseed nutritional quality based on the near-infrared spectrum technique quick nondestructive is as follows:
1) selects the prediction sample sets of the whole grain cottonseed material of representative many kinds, part, the plantation of many places for many years for use as the correcting sample collection and the whole grain cottonseed of whole grain cottonseed;
2) use near infrared spectrometer under same environmental conditions, sample is carried out repeatedly scanning collection, average as the near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets;
3) whole grain cottonseed is behind spectra collection, peels off, abrasive dust handles and obtain cotton benevolence powder, adopts GB/T 14489.2-2008 national standard method to measure protein content in the cottonseed, adopts GB/T 14488.1-2008 national standard method to measure oil content in the cottonseed;
4) near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets are carried out pre-service, eliminate the interference of non-target factor, improve signal to noise ratio (S/N ratio);
5) near infrared spectrum data of the correcting sample collection of pretreated whole grain cottonseed in the step 4) is carried out Variables Selection, eliminate no information variable;
6) according to the near infrared spectrum data after the Variables Selection in the step 5), use multivariate calibration methods, set up the calibration model between the nutrient composition content of near infrared spectrum and whole cottonseed of correcting sample collection of whole grain cottonseed;
7) near infrared spectrum data that adopts the prediction sample sets of pretreated whole grain cottonseed in the step 4) is carried out performance evaluation to the calibration model of step 6);
8) gather the near infrared spectrum data of whole grain cottonseed sample to be measured, after identical preprocess method carries out pre-service to the near infrared spectrum data of whole grain cottonseed sample to be measured in utilization and the step 4), with the nutritional quality of the constructed calibration model prediction of step 6) whole cottonseed sample to be measured.
The near infrared spectrum sweep limit of described near infrared spectrometer is 800～2500nm.
The near infrared spectrum data of described correcting sample collection to whole grain cottonseed and the near infrared spectrum data of prediction sample sets are carried out preprocess method and be: polynary scatter correction, standard normal conversion, Savitzky-Golay are level and smooth, in single order or the second derivative one or more.
The method that described near infrared spectrum data to the correcting sample collection of pretreated whole grain cottonseed in the step 4) is carried out Variables Selection is: the no information variable null method and the successive projection method of Monte Carlo.
The present invention is applicable to the quick nondestructive analysis of whole grain cottonseed nutritional quality, compare with the chemical analysis method of routine, detection speed soon, does not destroy sample, need not sample pretreatment, does not use chemical reagent, the analysis precision height, can detect the number of chemical composition simultaneously, be a kind of easily and fast, reliable green analytical technology, can satisfy the screening of cotton breeding work and new varieties cultivate in the needs of cottonseed nutritional labeling express-analysis.
Description of drawings
Fig. 1 is the original near infrared spectrum data of whole grain cottonseed;
Fig. 2 is the chemical assay value of protein content of whole grain cottonseed and the graph of a relation of near infrared spectrum predicted value;
Fig. 3 is the chemical assay value of oil content of whole grain cottonseed and the graph of a relation of near infrared spectrum predicted value.
Embodiment
The step of method of analyzing whole grain cottonseed nutritional quality based on the near-infrared spectrum technique quick nondestructive is as follows:
1) selects the prediction sample sets of the whole grain cottonseed material of representative many kinds, part, the plantation of many places for many years for use as the correcting sample collection and the whole grain cottonseed of whole grain cottonseed;
2) use near infrared spectrometer under same environmental conditions, sample is carried out repeatedly scanning collection, average as the near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets;
3) whole grain cottonseed is behind spectra collection, peels off, abrasive dust handles and obtain cotton benevolence powder, adopts GB/T 14489.2-2008 national standard method to measure protein content in the cottonseed, adopts GB/T 14488.1-2008 national standard method to measure oil content in the cottonseed;
4) near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets are carried out pre-service, eliminate the interference of non-target factor, improve signal to noise ratio (S/N ratio);
5) near infrared spectrum data of the correcting sample collection of pretreated whole grain cottonseed in the step 4) is carried out Variables Selection, eliminate no information variable;
6) according to the near infrared spectrum data after the Variables Selection in the step 5), use multivariate calibration methods, set up the calibration model between the nutrient composition content of near infrared spectrum and whole cottonseed of correcting sample collection of whole grain cottonseed;
7) near infrared spectrum data that adopts the prediction sample sets of pretreated whole grain cottonseed in the step 4) is carried out performance evaluation to the calibration model of step 6);
8) gather the near infrared spectrum data of whole grain cottonseed sample to be measured, after identical preprocess method carries out pre-service to the near infrared spectrum data of whole grain cottonseed sample to be measured in utilization and the step 4), with the nutritional quality of the constructed calibration model prediction of step 6) whole cottonseed sample to be measured.
The near infrared spectrum sweep limit of described near infrared spectrometer is 800～2500nm.
The near infrared spectrum data of described correcting sample collection to whole grain cottonseed and the near infrared spectrum data of prediction sample sets are carried out preprocess method and be: polynary scatter correction, standard normal conversion, Savitzky-Golay are level and smooth, single order or second derivative.These preprocess methods can singlely carry out, and also can unite use by multiple preprocess method, to reach best pretreating effect.The preprocess method that the spectroscopic data preprocess method of whole grain cottonseed sample to be measured is adopted in the time of should making up with calibration model is consistent.
The method that described near infrared spectrum data to the correcting sample collection of pretreated whole grain cottonseed in the step 4) is carried out Variables Selection is: the no information variable null method and the successive projection method of Monte Carlo.
Multivariate calibration methods in the described step 6) includes but not limited to: linear partial least square method, principal component regression method, multiple linear regression method, and nonlinear artificial neural network method, support vector machine, least square method supporting vector machine, weighted least-squares support vector machine etc.Estimated performance through each calibration model compares, and determines to be fit to the best bearing calibration of each nutritional quality composition.
Wherein, corresponding " WinISI II " software of instrument is used in the collection of spectroscopic data, and " Unscrambler " software is adopted in the pre-service of data, and being structured in " MATLAB " software of polynary calibration model finished.
Embodiment
1, selects for use 385 parts of representative cottonseed materials to collect, planted in a plurality of ecologic plantings districts such as Sanya, Hainan, Zhejiang Hangzhou, Jinhua, Zhejiangs respectively at 2008 and 2009 as laboratory sample; Select 230 parts of correcting sample collection as whole grain cottonseed to be used for carrying out the structure of the calibration model of whole grain cottonseed, remaining 155 parts are carried out performance evaluation as the prediction sample sets of whole grain cottonseed to the calibration model of the whole grain cottonseed that makes up;
2, at wavelength be the spectrum range of 800～2500nm, use the whole grain of near-infrared analyzer scanning cottonseed sample, gather the near-infrared reflection spectral intensity every 2nm, every duplicate samples multiple scanning four times, be averaged spectrum, as the near infrared spectrum data of the prediction sample sets of the near infrared spectrum data of the correcting sample collection of whole grain cottonseed and whole grain cottonseed, Fig. 1;
3, the whole grain cottonseed after the scanning is through peeling off, obtaining cotton benevolence powder behind the abrasive dust, adopts GB/T 14489.2-2008 national standard method to measure protein content in the cottonseed, adopts GB/T 14488.1-2008 national standard method to measure oil content in the cottonseed;
4, combined standard normal transformation, Savitzky-Golay are level and smooth, the second derivative method is to the near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets are carried out pre-service, eliminate the interference of non-target factor;
5, use the Monte Carlo not have the information variable null method near infrared spectrum data of the correcting sample collection of above-mentioned pretreated whole grain cottonseed is carried out Variables Selection, eliminate redundant invalid variable, reduce spectral variables, effectively simplify computing, and import as the data of calibration model;
6, use the multivariate calibration methods least square method supporting vector machine, set up the calibration model between the nutrient composition content of near infrared spectrum and whole cottonseed of correcting sample collection of whole grain cottonseed;
7, the near infrared spectrum data of the prediction sample sets of the above-mentioned pretreated whole grain cottonseed of utilization is carried out performance evaluation to constructed calibration model, sees Fig. 2 and Fig. 3;
The performance index of whole cotton seed protein of table 1, oil content calibration model
| Composition | Variables Selection | RMSECV | RESEP | R 2 | RPD |
| Protein | 48 | 1.133 | 0.977 | 0.959 | 4.871 |
| Oil content | 77 | 0.845 | 0.834 | 0.950 | 4.429 |
Annotate:
RMSECV: the cross validation root-mean-square error;
RMSEP: predicted root mean square error;
R 2 : prediction related coefficient;
RPD: the remaining predicted deviation
8, under identical environmental baseline, gather the near infrared spectrum data of whole grain cottonseed sample to be measured, use identical preprocess method standard normal conversion, level and smooth, the second derivative method of Savitzky-Golay, after the near infrared spectrum data of whole grain cottonseed sample to be measured carried out pre-service, with the protein and the oil content of constructed calibration model prediction whole grain cottonseed to be measured, realize the quick nondestructive analysis of whole grain cottonseed nutritional quality.
Claims (4)
1. analyze the method for whole grain cottonseed nutritional quality based on the near-infrared spectrum technique quick nondestructive for one kind, it is characterized in that its step is as follows:
1) selects the prediction sample sets of the whole grain cottonseed material of representative many kinds, part, the plantation of many places for many years for use as the correcting sample collection and the whole grain cottonseed of whole grain cottonseed;
2) use near infrared spectrometer under same environmental conditions, laboratory sample is carried out repeatedly scanning collection, average as the near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets;
3) whole grain cottonseed is behind spectra collection, peels off, abrasive dust handles and obtain cotton benevolence powder, adopts GB/T 14489.2-2008 national standard method to measure protein content in the cottonseed, adopts GB/T 14488.1-2008 national standard method to measure oil content in the cottonseed;
4) near infrared spectrum data of the correcting sample collection of whole grain cottonseed and the near infrared spectrum data of prediction sample sets are carried out pre-service, eliminate the interference of non-target factor, improve signal to noise ratio (S/N ratio);
5) near infrared spectrum data of the correcting sample collection of pretreated whole grain cottonseed in the step 4) is carried out Variables Selection, eliminate no information variable;
6) according to the near infrared spectrum data after the Variables Selection in the step 5), use multivariate calibration methods, set up the calibration model between the nutrient composition content of near infrared spectrum and whole cottonseed of correcting sample collection of whole grain cottonseed;
7) near infrared spectrum data that adopts the prediction sample sets of pretreated whole grain cottonseed in the step 4) is carried out performance evaluation to the calibration model of step 6);
8) gather the near infrared spectrum data of whole grain cottonseed sample to be measured, after identical preprocess method carries out pre-service to the near infrared spectrum data of whole grain cottonseed sample to be measured in utilization and the step 4), with the nutritional quality of the constructed calibration model prediction of step 6) whole cottonseed sample to be measured.
2. a kind of method based on the whole grain of near-infrared spectrum technique quick nondestructive analysis cottonseed nutritional quality according to claim 1, the near infrared spectrum sweep limit that it is characterized in that described near infrared spectrometer is 800～2500nm.
3. according to claim 1ly a kind ofly analyze the method for whole grain cottonseed nutritional quality based on the near-infrared spectrum technique quick nondestructive, the near infrared spectrum data that it is characterized in that the near infrared spectrum data of described correcting sample collection to whole grain cottonseed and prediction sample sets is carried out preprocess method and is: polynary scatter correction, standard normal conversion, Savitzky-Golay are level and smooth, in single order or the second derivative one or more.
4. a kind of method based on the whole grain of near-infrared spectrum technique quick nondestructive analysis cottonseed nutritional quality according to claim 1 is characterized in that the method that described near infrared spectrum data to the correcting sample collection of pretreated whole grain cottonseed in the step 4) is carried out Variables Selection is: the no information variable null method and the successive projection method of Monte Carlo.
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| CN111272695A (en) * | 2020-02-26 | 2020-06-12 | 北京市农林科学院 | Nondestructive testing method for content of antitumor component precursor 3-methylindolyl thioglycoside in broccoli powdery raw material |
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