Naphthalimide Derivatives as Film-Based Fluorescent Sensors for Rapid Detection of Illicit Drugs

IF 3.5
Ming Chen, Harrison Stitt, Ronan Chu, Jos C. M. Kistemaker, Ian A. Wood, Paul L. Burn, Ian R. Gentle, Paul E. Shaw
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Abstract

Film-based fluorescence sensors are attractive for illicit drugs detection due to their potential for rapid response, low limits of detection, and portability. However, it is still a significant challenge to achieve real-time identification of suspected illicit drugs using fluorescence detection. Herein, four novel 1,8-naphthalimide (NI) derivatives with different substituents at the 4-position, namely NI-1 [phenyl], NI-2 [4-({2-ethylhexyl}oxy)phenyl], NI-3 [4,4''-bis({2-ethylhexyl}oxy)-(1,1':3',1''-terphenyl)-5'-yl] and NI-4 [4-(dimesitylboraneyl)phenyl] are reported. The four NI derivatives had different thin film optoelectronic properties and mass densities, and showed distinct fluorescence responses to methamphetamine hydrochloride, 3,4-methylenedioxyamphetamine hydrochloride, cocaine hydrochloride, fentanyl hydrochloride, and tetrahydrocannabinol. The contrasting fluorescence responses of NI-1, NI-2, NI-3 and NI-4 were utilized as the basis for a constructed sensor array, which can distinguish between five drugs, three compounds commonly found around the home (paracetamol, aspirin and caffeine) and a null class (a blank swab) in 18 s with a mean classification accuracy of 81%. By grouping analyte predictions into binary “drug” and “other” categories, a 94% mean classification accuracy is achieved. This highlights the potential for thin film fluorescent NI derivatives to be used for rapid on-site drug screening.

Abstract Image

萘酰亚胺衍生物薄膜荧光传感器用于毒品快速检测
基于薄膜的荧光传感器由于其快速反应、低检测限和便携性的潜力,在非法药物检测方面具有吸引力。然而,利用荧光检测实现对可疑非法药物的实时识别仍然是一项重大挑战。本文报道了4位具有不同取代基的新型1,8-萘酰亚胺(NI)衍生物,即NI-1[苯基]、NI-2[4-({2-乙基己基}氧基)苯基]、NI-3[4,4 " -双({2-乙基己基}氧基)-(1,1':3',1 " -三苯基)-5'-基]和NI-4[4-(二烷基硼烷基)苯基]。四种NI衍生物具有不同的薄膜光电性能和质量密度,对盐酸甲基苯丙胺、盐酸3,4-亚甲基二氧苯丙胺、盐酸可卡因、盐酸芬太尼和四氢大麻酚具有不同的荧光响应。利用NI-1、NI-2、NI-3和NI-4的对比荧光响应作为构建传感器阵列的基础,该传感器阵列可以在18 s内区分五种药物、三种常见的化合物(对乙酰氨基酚、阿司匹林和咖啡因)和一种无效类(空白拭子),平均分类准确率为81%。通过将分析物预测分为二元“药物”和“其他”类别,平均分类准确率达到94%。这突出了薄膜荧光NI衍生物用于快速现场药物筛选的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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