山东农业科学2018，Vol.50Issue(6)：163-166,4.DOI:10.14083/j.issn.1001-4942.2018.06.030
花生自然风干种子维生素E含量近红外分析模型构建
A Near Infrared Spectroscopy Model for Predicting Vitamin E Content in Sun-Dried Peanut Seeds
摘要
Abstract
To build a near infrared spectroscopy (NIRS)model for predicting vitamin E content in sun-dried peanut seeds,spectral data of 42 peanut seed samples were collected and the vitamin E content of each sample was determined by reverse phase high performance liquid chromatography (RP-HPLC).Then a NIR calibration model for vitamin E content was established by partial least squares method (modified PLS ). Through optimizing and internal cross validation,the optimal spectrum pretreatment method was the first deriv-ative plus multiplicative scattering correction.The spectrum range,rank,determination coefficient (R2)and root-mean-squares error of cross-validation (RMSECV)for vitamin E were 6 094.3～7 506.0 cm-1and 4 242.8～5 454.0 cm-1,8,88.34 and 0.423,respectively.The model was used to predict the vitamin E content of 6 samples of wild peanut species,and the t test results showed that the difference between the pre- dicted value and true value was not significant.Therefore,the constructed near-infrared spectroscopy model could predict the content of vitamin E in sun-dried peanut seeds very well.关键词
花生/自然风干种子/维生素E含量/近红外定量分析Key words
Peanut/Sun-dried seed/Vitamin E content/Near infrared spectroscopy (NIRS)分类
农业科技引用本文复制引用
刘婷,石程仁,殷冬梅,王传堂,唐月异,胡东青,王秀贞,吴琪,孙全喜,王志伟,宋国生..花生自然风干种子维生素E含量近红外分析模型构建[J].山东农业科学,2018,50(6):163-166,4.基金项目
国家花生产业技术体系项目(CARS-13) （CARS-13）
山东省农业科学院农业科技创新工程项目(CXGC2016B02,CXGC2018E21) （CXGC2016B02,CXGC2018E21）
山东省农业科学院重大科技成果培育计划项目(2014CGPY09) （2014CGPY09）
