Rapid Detection of Fat Content in Chenopodium quinoa Willd by Near Infrared Spectroscopy

作     者：Xiaoning CAO Junjie WANG Sichen LIU Zhijun QIAO 

作者机构：Institute of Crop Germplasm ResourcesShanxi Academy of Agricultural SciencesTianyuan 030031China Key Laboratory of Crop Gene Resources and Germplasm Enhancement on Loess PlateauMinistry of AgricultureTianyun 030031China Shanxi Key Laboratory of Genetic Resources and Genetic Improvement of Minor CropsTianyun 030031China 

出 版 物：《Agricultural Biotechnology》 (农业生物技术（英文版）)

年 卷 期：2018年第7卷第4期

页      面：115-117页

学科分类：0832[工学-食品科学与工程（可授工学、农学学位）] 081704[工学-应用化学] 07[理学] 08[工学] 0817[工学-化学工程与技术] 070302[理学-分析化学] 083202[工学-粮食、油脂及植物蛋白工程] 0703[理学-化学] 

基　　金：Supported by Special Fund for the Protection and Utilization of Crop Germplasm Resources of the Ministry of Agriculture(2017NWB036-20) Key Project of Shanxi Academy of Agricultural Sciences(YGG17064) Key Research Plan Project of Shanxi Province(201603D21102) 

主　　题：Chenopodium quinoa Willd Fat Near infrared spectroscopy Rapid detection 

摘      要：This study was conducted to find a method for rapid determination of fat content in complete quinoa （ Chenopodium quinoa Willd） seeds. The near infrared spectra of 100 quinoa samples were collected, and a mathematic model was built using the near infrared spectra, so as to perform prediction. The results showed that within the wavelength range of 1 0 000-4 000 cm ^-1 , the quantification model of fat content built by first derivative ＋vector normalization spectral pre-processing had better calibration and prediction effects, and showed a determination coefficient of cross validation （ r cv^ 2 ） of 0.939 3 and a determination coefficient of validation （ rval^2 ） of 0.923 5. The near infrared spectral model of fat could be used for rapid detection of fat contents in quinoa.