金属有机框架作为纸基提取口腔液体中合成大麻素的先进材料

IF 5.2 Q1 CHEMISTRY, ANALYTICAL
Jens van der Hulst, Héctor Martínez-Pérez-Cejuela, José Manuel Herrero-Martínez, Sergio Armenta
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引用次数: 1

摘要

在本文中,利用MOF分析物之间的几种相互作用机制,将金属有机框架修饰的纸基装置应用于提取口腔液中的合成大麻素受体激动剂(SCRAs),然后通过LC荧光检测对其进行定量。生成的组合,命名为NH2-UiO-66@paper,通过红外、扫描电子显微镜等不同技术进行了表征。在适当选择显著变量后,通过使用全因子设计优化提取程序。方法优化后,对分析参数进行了研究,包括线性范围(LOQ-400µg L−1)、检测限(0.7至2.8µg L–1)以及批内和批间精密度(分别表示为RSD的<;8%和<;20%)。接下来,在三个不同的浓度水平(25、75和100µg L−1)下评估该方法的准确性,获得的值为64%至98%。最后,将该方法应用于口腔液分析(n=25)(15个阳性样本和10个阴性样本),并计算出该方法的灵敏度、特异性和准确度(效率),分别获得80%、100%和88%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Metal organic frameworks as advanced materials for the paper-based extraction of synthetic cannabinoids in oral fluids

Metal organic frameworks as advanced materials for the paper-based extraction of synthetic cannabinoids in oral fluids

In this manuscript, a paper-based device modified with metal-organic frameworks was applied for the extraction of synthetic cannabinoid receptor agonists (SCRAs) in oral fluids, taking profit of the several interaction mechanisms between MOF-analytes, followed by their quantification by LC-fluorescence detection. The resulting composite, named as NH2-UiO-66@paper, was characterized by different techniques such as infrared, scanning electron microscopy, among others. The extraction procedure was optimized by using a full factorial design after an appropriate selection of the significant variables. Once the method was optimized, the analytical parameters were studied including liner range (LOQ-400 µg L−1), limit of detection (0.7 to 2.8 µg L−1) and intra- and inter-batch precision (<8 and <20%, expressed as RSD, respectively). Next, the accuracy of the method was assessed at three different concentration levels (25, 75 and 100 µg L−1), obtaining values comprised from 64 to 98%. Finally, the method was applied for the analysis of oral fluids (n=25) (15 positives and 10 negative samples) and sensitivity, specificity and accuracy (efficiency) of the methodology were calculated obtaining 80, 100 and 88%, respectively.

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