文献类型：期刊文献

英文题名：An enrichment device of silica-based monolithic material and its application to determine micro-carbaryl by NIRS

作者：Du, Yi Ping[1];Wei, Xue Mei[1];Xie, Hong Ping[2];Huang, Zi Xia[1];Fang, Juan Juan[1]

机构：[1]E China Univ Sci & Technol, Ctr Anal & Test, Shanghai 200237, Peoples R China;[2]Suzhou Univ, Sch Med, Suzhou 215123, Peoples R China

年份：2009

卷号：20

期号：4

起止页码：469

外文期刊名：CHINESE CHEMICAL LETTERS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000265281600026)】；

基金：This work is sponsored by Shanghai Pujiang Program (2006), and is also supported by Science and Technolog, Commission of Shanghai Municipality (No. 0652nm020).

语种：英文

外文关键词：Near-infrared spectroscopy (NIRS); Pesticide; Monolithic column; Enrichment

摘要：Silica-based. monolithic column material was synthesized and an enrichment device was fabricated with the material by assembling the material inside a glass column. The enrichment device was applied for the determination of micro-carbaryl with near-infrared spectroscopy (NIRS). The aqueous solutions of carbaryl passed through the device and the carbaryl was enriched on the surface of the material where diffuse reflection NIR spectra were measured. These procedures of enrichment and measurement ensured to concentrate analytes for the measurement, so that the sensitivity of determination of NIRS could be improved. NIR spectra of carbaryl solutions (0.01-1.00 mu g mL(-1)), measured after the application of the enrichment device, were pretreated with multiplicative scatter correction (MSC) and regressed against the concentrations of the carbaryl solutions with partial least squares (PLS) method. The results showed that the minimum value of root-mean-square error of prediction (RMSEP) was 0.1771 mu g mL(-1) when the number of latent variables was 3 of PLS regression. Therefore, the number of latent variables 3 was selected as the optimum value. RMSEP was not very low but acceptable considering that NIRS is commonly used in macro amount analysis and it is quite difficult for NIRS to determine micro amount analytes, especially, less than 1 mu g mL(-1). (C) 2008 Yi Pirg Du. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.