Objective Method for Presumptive Field-Testing of Illicit Drug Possession Using Centrifugal Microdevices and Smartphone Analysis

Objective Method for Presumptive Field-Testing of Illicit Drug Possession Using Centrifugal Microdevices and Smartphone Analysis
复制标题

DOI:
10.1021/acs.analchem.6b01982
复制
发表时间:
2016-09-06
影响因子:
7.4
通讯作者:
Landers, James P.
Landers, James P.
中科院分区:
化学1区
文献类型:
--
作者:
Krauss, Shannon T.;Remcho, Thomas P.;Landers, James P.

文献摘要

被引文献

相似文献

目前执法部门用于确定非法持有受控物质的非法药物的比色推定识别仅依赖于使用药物或类别特异性反应对颜色变化的主观解释。在这里,我们描述了使用廉价的聚酯调色剂、旋转驱动的微流体设备和智能手机作为当前非法药物的推定比色现场测试的潜在替代方案,从而实现客观且用户友好的图像分析技术进行检测。离心微流控平台可同时对从单个输入到多个反应室的材料进行推定测试,从而实现快速筛选。色调和饱和度图像分析参数用于定义可卡因和甲基苯丙胺检测的阈值,作为原理验证,检测限分别为 0.25 和 0.75 mg/mL,并使用存储在机载和智能手机上的非挥发性试剂进行检测。报告的 LOD 低于现场使用的浓度。此外,开发的客观检测方法还可以使用各种常见的切割剂来测试药物,包括那些已知会产生假阴性和阳性结果的药物。我们通过成功鉴定 30 个未知样品的成分来证明该方法的有效性。
Current colorimetric presumptive identification of illicit drugs for determining illegal possession of controlled substances by law enforcement relies solely on the subjective interpretation of color change using drug- or class-specific reactions. Here, we describe the use of inexpensive polyester-toner, rotation-driven microfluidic devices with a smartphone as a potential alternative for current presumptive colorimetric field-testing of illicit drugs, allowing for an objective and user-friendly image analysis technique for detection. The centrifugal microfluidic platform accommodates simultaneous presumptive testing of material from a single input to multiple reaction chambers, enabling rapid screening. Hue and saturation image analysis parameters are used to define threshold values for the detection of cocaine and methamphetamine as proof-of-principle with 0.25 and 0.75 mg/mL limits of detection, respectively, with nonvolatile reagents stored on-board and smartphone for detection. Reported LODs are lower than those concentrations used in the field. Additionally, the developed objective detection method addresses the testing of drugs with various common cutting agents, including those known to produce false negative and positive results. We demonstrate the effectiveness of the method by successfully identifying the composition of 30 unknown samples.