江西农业大学学报2011，Vol.33Issue(3)：602-607,6.
生姜水分含量的可见-近红外光谱检测
Prediction of Ginger Moisture Content using Visual Near-infrared Spectroscopy
摘要
Abstract
Near-infrared reflectance spectroscopy has advantages of rapid determination, non - destruction , and convenient. In this work, visible-near infrared spectrum was used to establish the prediction model for ginger moisture content. Visual Near-infrared spectroscopy (Vis-NIRS) combined with partial least squares (PLS) was used for the prediction of moisture content in the ginger. The spectra of 308 ginger samples were collected with a wavelength range of 350 ~ 1 800 nm. First derivative FD, second derivative SD, standard normal variate SNV and multiplicative scattering correction MSC were adopted for the acquisition of Vis-NIR spectra. In the three bands with ranges of 430 ~ 1 000 nm, 1 000 ~ 1 800 nm and 430 ~ 1 800 nm the PLS model were established respectively. This study shows that the PLS model established in the range of 430 ~ 1 800 nm, using first derivative spectra pretreatment method, was the optimal. The validation group of the correlation coefficient and that of the forecasting group were 0. 975 1 and 0. 959 7 respectively. The results showed that Visual Near-infrared spectroscopy (Vis-NIRS) can detect the moisture content of ginger accurately and rapidly.关键词
可见-近红外光谱/生姜/水分含量/无损检测/偏最小二乘法Key words
near-infrared spectroscopy (Vis-NIRS)/ ginger/ moisture content/ non-destructive detection/ partial least squares (PLS)分类
农业科技引用本文复制引用
吕萍,薛龙,何秀文,王晓,刘木华,严霖元..生姜水分含量的可见-近红外光谱检测[J].江西农业大学学报,2011,33(3):602-607,6.基金项目
国家自然科学基金资助项目(30760101)和江西省教育厅科学技术研究项目(GJ08513) （30760101）
