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Direct analysis of benzo[ a]pyrene metabolites with strong overlapping in both the spectral and lifetime domains

机译:苯并的直接分析[ a

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AbstractThe ultimate goal of the present study is to develop screening methodology for the urine analysis of metabolites of polycyclic aromatic hydrocarbons. The investigated approach is based on surface matrix fluorescence spectroscopy, where octadecyl silica membranes serve the dual purpose of metabolite extraction and solid substrate for fluorescence measurements. One of the main challenges faced by this approach is the interference of concomitants in the sample matrix. The present study focuses on three metabolites with strong spectral and lifetime overlapping, namely benzo[a]pyrene-trans-9,10-dihydrodiol, benzo[a]pyrene-r-7,t-8,c-9-tetrahydrotriol and benzo[a]pyrene-r-7,t-8,c-9,c-10-tetrahydrotetrol. As an attempt to improve spectral and lifetime resolution, time-resolved excitation emission matrices are recorded at 77K with the aid of a cryogenic fiber optic probe and laser-based instrumentation. In comparison to conventional spectrofluorimeters, the use of laser-based instrumentation improves the limits of detection by approximately two-orders of magnitude. The fiber optic probe facilitates the collection of time-resolved excitation emission matrices for the detection of the three metabolites at the pgmL?1concentration level. Their accurate determination in urine samples of unknwon composition is only possible with the aid of unfolded-partial least squares/residual tri-linearization. This algorithm demonstrated to be well-equipped to handle strong overlapping in
机译:<![cdata [ 抽象 本研究的最终目标是开发用于多环芳烃代谢物尿液分析的筛选方法。研究方法基于表面基质荧光光谱,其中十八烷基二氧化硅膜用于代谢物萃取和固体基材的双重目的进行荧光测量。这种方法面临的主要挑战之一是样品基质中伴随剂的干扰。本研究重点介绍了具有强光谱和寿命重叠的三种代谢物,即苯并[ a 反式 -9,10-二氢醇,苯并[ a ]芘-r-7,t-8,c-9-四氢唑和苯并[ a ]芘 - < CE:斜体> r -7, t -8, c -9, c -10-四氢滴水。作为改善光谱和寿命分辨率的尝试,借助于低温光纤探针和基于激光的仪器,在77K处记录时间分辨的激励发射矩阵。与传统的光谱荧光计相比,基于激光的仪器的使用通过大约两级来改善了检测的限制。光纤探针有助于将时间分辨激励发射矩阵的集合进行用于检测PGML α1浓度水平的三种代谢物。借助于展开局部最小二乘/残余三线性化,似乎仅实现unlynwon组合物的尿样的准确测定。该算法表明是良好的,以处理强大的重叠

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