This study was conducted to establish a method for rapid determination of crude starch content in complete quinoa ( Chenopodium quinoa Willd) seeds. The near infrared spectra of 100 quinoa samples were collected, an...This study was conducted to establish a method for rapid determination of crude starch 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 within the wavelength range of 1 0 000-4 000 cm^-1 by first derivative +vector normalization spectral pre-processing. The results showed that the quantification model of starch content had better calibration and prediction effects, and showed a determination coefficient of cross validation ( r^2 cv ) of 0.914 7 and a determination coefficient of validation ( r^2 val ) of 0.903 1. The determination of starch content in complete quinoa seeds by near infrared spectroscopy is totally feasible.展开更多
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)
文摘This study was conducted to establish a method for rapid determination of crude starch 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 within the wavelength range of 1 0 000-4 000 cm^-1 by first derivative +vector normalization spectral pre-processing. The results showed that the quantification model of starch content had better calibration and prediction effects, and showed a determination coefficient of cross validation ( r^2 cv ) of 0.914 7 and a determination coefficient of validation ( r^2 val ) of 0.903 1. The determination of starch content in complete quinoa seeds by near infrared spectroscopy is totally feasible.
基金The National Key Research Project of China(2016YFD0400702-2&2018YFD0401003-05)The Group Program of Natural Science Foundation of Guangdong Province(2016A030312001)The Guangdong Provincial Science and Technology Project(2017B090907022)