安徽农业大学学报2017，Vol.44Issue(3)：541-545,5.DOI:10.13610/j.cnki.1672-352x.20170524.013
基于微型近红外光谱仪油菜籽粗脂肪与粗蛋白校正模型的建立
Establishment of a calibration model for rapeseed crude fat and crude protein using a miniature near-infrared spectrometer
摘要
Abstract
To verify the practicability of using a miniature near-infrared spectrometer for live analysis,the crude fat and crude protein contents in rapeseeds were determined.The near infrared reflectance spectra of the rapeseeds were collected followed by pretreatrnent and elimination of the abnormal samples.Partial least squares regression (PLSR) model was established for crude fat and crude protein of rapeseeds.The results showed that,for the crude fat model,the correlation coefficient (Rc) and root mean square error (RMSEC) of the calibration set and the correlation coefficient (Rp) and root mean square error of the prediction set were 0.9187,1.1873,0.8162 and 1.3895,respectively.For the crude protein model,the correlation coefficient (Rc) and root mean square error (RMSEC) of the calibration set and the correlation coefficient (Rp) and root mean square error of the prediction set were 0.8773,0.8153,0.8033 and 0.7532,respectively.These results demonstrated that detection of crude fat and crude protein in rapeseeds using the miniature near-infrared spectrometer is feasible,which built a solid foundation for the further application of the miniature near-infrared spectrometer.关键词
油菜籽/微型近红外光谱仪/粗脂肪/粗蛋白Key words
rapeseed/miniature near-infrared spectrometer/crude fat/crude protein分类
轻工纺织引用本文复制引用
王春峰,白志杰,孙武坚,郭丽,熊颖,陆道礼,陈斌..基于微型近红外光谱仪油菜籽粗脂肪与粗蛋白校正模型的建立[J].安徽农业大学学报,2017,44(3):541-545,5.基金项目
国家自然科学基金项目(31171697)和国家重大科学仪器设备开发专项(2014YQ491015)共同资助. （31171697）
