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近红外光谱技术应用于玉米单籽粒蛋白质含量检测分析的初步研究

张新玉 王颖杰 刘若西 申兵辉 王皎月 严衍禄 康定明

中国农业大学学报2017,Vol.22Issue(5):25-31,7.
中国农业大学学报2017,Vol.22Issue(5):25-31,7.DOI:10.11841/j.issn.1007-4333.2017.05.03

近红外光谱技术应用于玉米单籽粒蛋白质含量检测分析的初步研究

Application of near-infrared spectroscopy technology to analyze protein content in single kernel maize seed

张新玉 1王颖杰 1刘若西 1申兵辉 2王皎月 1严衍禄 3康定明1

作者信息

  • 1. 中国农业大学农学院,北京100193
  • 2. 中国农业大学理学院,北京100193
  • 3. 中国农业大学信息与电气工程学院,北京100193
  • 折叠

摘要

Abstract

The quality detection and classification identification of maize seed require to be accurately and quickly.The nutrient composition detection and identification method of maize seed currently are not only time consuming,but also inconvenient.Near-infrared spectroscopy can analyze samples in a short time without destroying samples.This study was focused on establishing a near infrared spectroscopy (NIR) technology to measure the protein content with a single maize seed,which was based on computer technology and chemometrics technology.A total 205 samples were exploited to construct a model,of which 117 samples were included in model dataset and 88 samples were for predicting dataset.A spectrum was obtained of each sample after diffused reflecting with a JDSU near infrared instrument.The chemical reference value of protein content of a single maize seed was analyzed.The protein content of a single maize seed sample with NIR was ranged from 3.48% to 18.15%,and on the average,was 10.17%.The simulating model between the chemical values and the spectrograph scanned by a JDSU,two modeling methods of Partial-Least-Squares Regression (PLSR) and Support Vector Machine (SVM) regression were adopted.The results showed that the effect of the two models built with PLSR method and SVM regression methods was almost same and the determination coefficient (R2) was 0.99 and 0.99,respectively.In addition,the standard deviation corrections (SEC) was 0.32 and 0.32,the standard deviation (SEP) was 0.46 and 0.46,the predictive relative standard deviation (RSEP) was 4.61 and 4.60,RPD was 6.106 and 6.111,respectively.It was demonstrated that the predicting model built by PLSR and SVR was better because the reference value is closer to the predicted value.And the analysis method to analyze the protein content of single maize seed via NIR JDSU was proved feasible.

关键词

玉米单籽粒/蛋白质含量/近红外/定量分析

Key words

single maize seed/protein content/near infrared spectroscopy

分类

农业科技

引用本文复制引用

张新玉,王颖杰,刘若西,申兵辉,王皎月,严衍禄,康定明..近红外光谱技术应用于玉米单籽粒蛋白质含量检测分析的初步研究[J].中国农业大学学报,2017,22(5):25-31,7.

基金项目

光栅型近红外分析仪及其共用模型开发与应用(2014YQ470377) (2014YQ470377)

中国农业大学学报

OA北大核心CSCDCSTPCD

1009-508X

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