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首页> 外文期刊>The Analyst: The Analytical Journal of the Royal Society of Chemistry: A Monthly International Publication Dealing with All Branches of Analytical Chemistry >Application of principal component regression to luminescence data for the screening of ciprofloxacin and enrofloxacin in animal tissues
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Application of principal component regression to luminescence data for the screening of ciprofloxacin and enrofloxacin in animal tissues

机译:主成分回归在发光数据中筛选动物组织中环丙沙星和恩诺沙星的应用

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摘要

A new screening method for the analysis of enrofloxacin and ciprofloxacin in edible animal tissues is described. The method is based on the application of principal component regression to luminescence measurements after reaction of quinolones with terbium(iii) in a micellar medium. The method was used, first, to discriminate between quinolone-containing or quinolone-not-containing samples (concentration below the detection limit) and, then, to quantify the sum of both analytes. Standards in a pure-water matrix, using the first three principal components, were used for the determination. RRMSE range from 4 to 10% depending on the analyte. Calibration was successfully applied to the analysis of spiked chicken and trout muscle at concentrations between 10 and 50 μg kg~(-1).
机译:描述了一种分析食用动物组织中恩诺沙星和环丙沙星的新筛选方法。该方法基于在胶束介质中喹诺酮与with(iii)反应后,将主成分回归应用于发光测量。该方法首先用于区分含喹诺酮的样品或不含喹诺酮的样品(浓度低于检测极限),然后定量两种分析物的总和。使用前三个主要成分的纯水基质中的标准品进行测定。 RRMSE范围为4%至10%,具体取决于分析物。标定成功地应用于浓度在10至50μgkg〜(-1)之间的加标鸡肉和鳟鱼肌肉的分析。

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