文献类型：期刊文献

中文题名：辣椒粉掺杂苏丹红的近红外光谱鉴别及其含量测定方法研究

英文题名：Determination and discrimination of Sudan red in paprika by near-infrared spectroscopy

作者：杜一平[1];向春兰[1];黄子夏[1];方娟娟[1];孟绮[1];卫雪梅[1]

机构：[1]华东理工大学上海市功能性材料化学重点实验室,上海200237

年份：2013

卷号：30

期号：1

起止页码：36

中文期刊名：计算机与应用化学

外文期刊名：Computers and Applied Chemistry

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：国家自然科学基金(20975039)

语种：中文

中文关键词：近红外光谱;苏丹红;辣椒粉;主成分分析;偏最小二乘

外文关键词：NIR, Sudan red, Paprika, PCA, PLS

摘要：研究应用漫反射近红外光谱快速鉴别辣椒粉中的苏丹红及其含量测定的方法。利用漫反射模式直接测定含有苏丹红的辣椒粉的近红外光谱,采用多元散射校正(MSC)方法对光谱进行校正,利用主成分分析研究含有苏丹红的辣椒粉和未含苏丹红的辣椒粉空白样品的分类。根据高效液相色谱测定辣椒粉中的苏丹红含量,利用偏最小二乘方法(PLS)建立苏丹红含量与近红外光谱之间的线性模型。结果显示,利用主成分分析可以方便、快速和准确地区分有无苏丹红的辣椒粉;苏丹红含量与近红外光谱具有良好的线性关系,当隐变量数目为7时,PLS模型的预测误差达到0.428μg/g,预测相关系数达0.973。
Method of determination and discrimination of sudan red in powered paprika using diffuse reflectance near-infrared spectroscopy （NIRS） was studied. Paprika was detected by diffuse reflectance N1RS directly. Multiplicative scatter correction （MSC） was applied to correct the spectra measured. Identification of sudan red from paprika samples was carried out by Principal Component Analysis （PCA） to the NIR spectra. Partial least squares （PLS） regression was used to build model between the corrected spectra and concentrations of sudan red, which were determined by HPLC, and segmental cross validation was used to search for a reasonable number of PLS factors with minimum root mean squares error of prediction （RMSEP）. The results showed that PCA is a rapid and accurate method to discriminate paprika samples containing and not containing sudan red. The minimum RMSEP was 0.428 p.g/g and correlation coefficient of prediction was 0.973 when the latent variable number was 7, meanwhile the relative error was 15.3%.