期刊论文

Qualitative and quantitative detection of camellia oil adulteration based on electronic nose

中文

食品与机械

1003-5788

2023

39

04

65-70

10.13652/j.spjx.1003.5788.2022.81046

2022NK2048:湖南省科技计划重点研发项目 2023JJ10099:湖南省自然科学基金项目 XLK202108-7:湖南省林业***培养科研项目 20A515:湖南省教育厅科学项目

本校为第一机构

目的:实现对茶油中掺入菜籽油、大豆油、玉米油的掺伪检测。方法:采用电子鼻检测平台对茶油中分别掺入不同比例菜籽油、大豆油、玉米油进行掺伪检测,运用线性判别分析(LDA)和支持向量机(SVM)进行茶油掺伪定性鉴别分析,并使用...展开更多 目的:实现对茶油中掺入菜籽油、大豆油、玉米油的掺伪检测。方法:采用电子鼻检测平台对茶油中分别掺入不同比例菜籽油、大豆油、玉米油进行掺伪检测,运用线性判别分析(LDA)和支持向量机(SVM)进行茶油掺伪定性鉴别分析,并使用多层感知器(MLP)和偏最小二乘回归(PLSR)建立茶油掺伪定量预测模型。结果:最佳输入参数下的SVM对茶油掺伪鉴别准确率高于LDA,其平均精确率...

Objective:This study aims to realize the adulteration detection of camellia oil mixed with rapeseed oil,soybean oil and corn oil.Methods:The electronic nose detection platform was used for the adulteration detection of camellia oil mixed with different proportion of rap...MORE Objective:This study aims to realize the adulteration detection of camellia oil mixed with rapeseed oil,soybean oil and corn oil.Methods:The electronic nose detection platform was used for the adulteration detection of camellia oil mixed with different proportion of rapeseed oil,soybean oil and corn oil.Firstly,the linea...