在线富集近红外光谱法测定痕量重金属铅  

Determination of Trace Lead by Near Infrared Spectroscopy with Online Enrichment Technique

作　　者：黄子夏[1] 陶卫[1] 卫雪梅[1] 杜一平[1] 

机构地区：[1]华东理工大学化学与分子工程学院,上海200237

出　　处：《华东理工大学学报（自然科学版）》2009年第1期91-95,共5页Journal of East China University of Science and Technology

基　　金：2006年上海市浦江人才计划

摘　　要：选择螯合树脂D401对水中的重金属铅进行在线富集,使铅离子络合在有机吸附材料上,实现能被近红外光谱检测的目的。利用特殊设计的富集检测装置,富集后的铅离子不经洗脱而直接在线进行漫反射近红外光谱的测量。采用多元散射校正(MSC)对光谱进行校正后,利用偏最小二乘方法(PLS)建立铅浓度与近红外光谱之间的线性模型。经MSC校正后,铅浓度与近红外光谱有很好的线性关系,单个波长吸光度与浓度之间的线性相关系数最高可达0.958 8,用偏最小二乘方法建模的结果是,当隐变量数目为2时,预测误差达到最小,为0.869 7μg/mL,预测相关系数为0.958 4。Chelating resin D401 enriched trace Pb^2＋ was directly determined by near infrared reflectance spectroscopy（NIR）. The spectra measured were corrected by multiplicative scatter correction （MSC） methods. Partial least squares （PLS） method was used to build model for the MSC-corrected spectra and concentrations of Pb^2＋. NIR spectra and concentrations of Pb^2＋ showed a good linear relationship with a maximum correlation coefficient of 0. 958 8 when the absorbance in a single wavelength was regressed to the concentration. The PLS model has the minimum root mean square error of prediction （RMSEP） of 0. 869 7 μg/mL and the correlation coefficient of prediction of 0. 958 4 when the latent variable number is 2.

关 键 词：铅 近红外光谱 螯合树脂 偏最小二乘 

分 类 号：O657.3[理学—分析化学]