安徽农业科学Issue(30)：14933-14936,4.
应用近红外光谱分析技术定量检测植物油脂肪酸含量的研究
Ouantitative Detection Research for the Fatty Acid of Vegetable Oil Using Near Infrared Spectroscopy
梁丹1
作者信息
- 1. 武汉职业技术学院电信学院,湖北武汉430074
- 折叠
摘要
Abstract
[ Objective] To establish a new method for the quantitative detection research for the fatty aeid of vegetable oil using near infrared spectroscopy. [Method] Using partial least squares (PLS) to establish near-infrared quantitative analysis model, and compare and analysis the results of the calibration model for quantitative detection of fatty acids (oleic acid, linoleic acid, linolenic acid) using 10 kinds of pretreat-ment methods on vegetable oil. [ Result] Results showed that FD + MSC is the best pretreatment method, determination coefficient R2 of oleic acid validation model was 0. 969 3, KMSEP was1. 3% ; determination coefficient R of linoleic acid validation model was 0. 960 6, RMSEP was 1. 66% ;determination coefficient R2 of linolenic acid validation model was 0. 973 1 , RMSEP was 0. 479% , they all have high determination coefficient. [Conclusion] It shows that the model can detect oleic acid, linoleic acid, linolenic acid simultaneously very well.关键词
近红外光谱/偏最小二乘法/植物油/脂肪酸Key words
Near-infrared spectroscopy/ Partial least-squares method/ Vegetahle oil/ Fatty acid分类
农业科技引用本文复制引用
梁丹..应用近红外光谱分析技术定量检测植物油脂肪酸含量的研究[J].安徽农业科学,2012,(30):14933-14936,4.
