Rapid Determination of Rice Bran Lipase Activity with Near-Infrared Spectroscopy

被引：0

作者：

Xie, Ding ^{[1
]}

Li, Chi-Ling ^{[1
]}

Li, Xiao-Wen ^{[1
]}

Li, Hui-Hui ^{[1
]}

Youyan, Jian-Xun ^{[2
]}

Wang, Fa-Xiang ^{[1
]}

Yu, Jian ^{[1
]}

Dong, Jun-Ying ^{[1
]}

机构：

[1] Changsha Univ Sci & Technol, Coll Chem & Biol, Changsha, Hunan, Peoples R China

[2] Hunan Grain Breau, Changsha, Hunan, Peoples R China

来源：

2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 4 | 2011年

关键词：

late indica rice; rice bran rancidity; copper soap method; partial least squares regression (PLS);

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Rice bran lipase Activity (RBLA) is one of the important parameters to affect the rice bran rancidity. The activity of rice bran during 0-12 h after milling off from a kind of late indica brown rice, at 25-30 degrees C, were determined by copper soap method and near-infrared spectroscopy (LAIRS), respectively. Among the RBLA prediction models established by principal component regression (PCR) and partial least squares regression (PLS), the best model was treated by PLS coupled with second derivative, the correlation coefficient between predicted value and chemical value was 0.9911, root square standard error (RMSEC) was 0.658, root mean square error of prediction was 3.03.

引用

页码：352 / 355

页数：4