Near-infrared spectra combined with partial least squares for pH determination of toothpaste of different brands

作     者：Yong Nian Ni Wei Lin 

作者机构：State Key Laboratory of Food Science and TechnologyNanchang UniversityNanchang 330047China Department of ChemistryNanchang UniversityNanchang 330031China 

出 版 物：《Chinese Chemical Letters》 (中国化学快报（英文版）)

年 卷 期：2011年第22卷第12期

页      面：1473-1476页

核心收录：

学科分类：081704[工学-应用化学] 082903[工学-林产化学加工工程] 07[理学] 08[工学] 0817[工学-化学工程与技术] 0829[工学-林业工程] 070302[理学-分析化学] 082201[工学-制浆造纸工程] 0703[理学-化学] 0822[工学-轻工技术与工程] 

基　　金：the financial support by the National Natural Science Foundation of China (No.21065007) the State Key Laboratory of Food Science and Technology of Nanchang University(Nos.MB-201002 and TS-200919) 

主　　题：Toothpaste NIR spectroscopy Partial least squares Preprocessing pH value 

摘      要：Near-infrared spectroscopy（NIR）,which is generally used for online monitoring of the food analysis and production process, was applied to determine the internal quality of toothpaste *** is acknowledged that the spectra can be significantly influenced by non-linearities introduced by light scatter,therefore,four data preprocessing methods,including off-set correction, 1st-derivative,standard normal variate（SNV） and multiplicative scatter correction（MSC）,were employed before the date analysis. The multivariate calibration model of partial least squares（PLS） was established and then was used to predict the pH values of the toothpaste samples of different *** results showed that the spectral date processed by MSC was the best one for predicting the pH value of the toothpaste samples.