Abstract In this study we aimed to combine the liquid–liquid extraction with low-temperature partition (LLE-LTP) sample preparation method with the SERS analytical technique to detect clonazepam in beverages that are commonly consumed at parties, in bars, and in nightclubs to simulate the analysis of beverages involved in drug-facilitated crimes. Chemometric tools were used to build a classification model to identify the presence of clonazepam in the analyzed drinks. One-class strategy was employed to build classification model. The performance of the SIMCA model was also assessed using sensibility and efficiency for the test set, which was determined to be 0.92 and 0.96, respectively The classification model allowed the appropriate and satisfactorily classification of drinks, even for those drinks that presented a matrix effect during analysis, which were subjected to a quick extraction procedure prior to analyzing them. The methodology proposed here could be used at crime scenes, where portable equipment could be utilized, and presents great potential for application in forensic laboratories, where fast and simple analytical methods must be employed routinely.

中文翻译：

---

基于液-液萃取的 SERS 检测加标饮料中的氯硝西泮

摘要 在本研究中，我们旨在将液液萃取与低温分配 (LLE-LTP) 样品制备方法与 SERS 分析技术相结合，以检测派对、酒吧和夜总会常用饮料中的氯硝西泮模拟对涉及毒品犯罪的饮料的分析。化学计量学工具被用来建立一个分类模型，以确定所分析的饮料中氯硝西泮的存在。采用一类策略建立分类模型。还使用测试集的敏感性和效率评估了 SIMCA 模型的性能，分别确定为 0.92 和 0.96 分类模型允许对饮料进行适当且令人满意的分类，即使对于那些在测试过程中呈现矩阵效应的饮料分析，在分析它们之前，它们经过了快速提取程序。这里提出的方法可以用于犯罪现场，在那里可以使用便携式设备，并且在法医实验室中具有巨大的应用潜力，在那里必须经常使用快速和简单的分析方法。