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Development of a colorimetric array to discriminate cutting agents in seized cocaine samples

机译:开发比色阵列以区分可卡因样品中的切削剂

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Drug consumption is a big global problem, which expands day after day, thus, a chemical characterization of these drugs based on their cutting agents is important to provide information and assist police agencies in drug traffic controlling. The present work proposes an easy-to-use colorimetric array to extract RGB information of the cutting agents commonly added to cocaine (procaine, benzocaine, phenacetin, lidocaine, levamisole, caffeine, acetaminophen and aminopyrine) aiming to discriminate seized drug samples. The RGB values extracted were used as input data for Principal Component Analysis (PCA) and the non-supervised model shows a satisfactory discrimination of all cutting agents evaluated in a good concentration range (1 to 10 mmol L
机译:毒品消费是一个全球性大问题,并且日趋扩大,因此,基于其切削剂对这些毒品进行化学鉴定对于提供信息和协助警察机构控制毒品交易非常重要。本工作提出了一种易于使用的比色阵列,以提取通常添加到可卡因(普鲁卡因,苯佐卡因,非那西丁,利多卡因,左旋咪唑,咖啡因,对乙酰氨基酚和氨基比林)中的切削剂的RGB信息,旨在区分缉获的毒品样品。提取的RGB值用作主成分分析(PCA)的输入数据,非监督模型对在良好浓度范围(1至10 mmol L

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