Sensitive discrimination of hazardous explosives by a sensor array based on siloles with aggregate-induced emission

IF 4.3 2区 化学 Q1 SPECTROSCOPY
Hongbin Zhou , Shengwen Yang , Fei Chen , Zhi-hong Du , Ning Liu , Hao Zhang
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引用次数: 0

Abstract

The utilization of cationic amidinourea as side chain of fluorophore has rarely been reported, which might be an efficient and feasible strategy for detecting hazardous explosives. In this work, we present an organic sensor bearing a cationic amidinourea group—specifically, silole UMPS-synthesized via a rapid and convenient method. Its analogues with novel and symmetric structures were also reported. One is neutral and the other two carry hydrocarbon side chains that are positively charged. All four derivatives exhibit aggregation-induced emission and were employed for the detection of nitroaromatic explosives in water. These silole-based derivatives demonstrate excellent sensitivity and effective discriminatory capabilities in detecting explosives. We constructed a cross-reactive sensor array consisting of four derivatives, enabling the differentiation of nine closely related nitro explosives through linear discriminant analysis (LDA). This sensor array not only effectively distinguishes individual explosives of different concentrations and complex explosive mixtures, but also has the capability to identify individual explosives in real water samples with the assistance of machine learning algorithms. Moreover, two siloles were fabricated into test strips for sensing nitroaromatics in practical applications. We anticipate that the current work will pave the way for the development of cation sensors and provide a convenient detection platform for environmental analysis.
基于集束发射筒仓的传感器阵列对危险炸药的敏感识别
利用阳离子氨基脲作为荧光基团侧链的报道很少,这可能是一种有效可行的检测危险爆炸物的策略。在这项工作中,我们提出了一种含有阳离子氨基脲基的有机传感器,特别是silole umps -通过一种快速简便的方法合成。并报道了具有新颖对称结构的类似物。一个是中性的,另外两个携带带正电的碳氢化合物侧链。所有四种衍生物都表现出聚集诱导发射,并用于水中硝基芳香炸药的检测。这些井基衍生物在探测爆炸物方面表现出优异的灵敏度和有效的区分能力。我们构建了一个由四个衍生物组成的交叉反应传感器阵列,通过线性判别分析(LDA)可以区分9种密切相关的硝基炸药。该传感器阵列不仅能够有效区分不同浓度的单个爆炸物和复杂的爆炸物混合物,而且能够在机器学习算法的帮助下识别真实水样中的单个爆炸物。并将两个筒仓制成试纸条,用于实际应用中硝基芳烃的检测。我们期望目前的工作将为阳离子传感器的发展铺平道路,并为环境分析提供方便的检测平台。
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来源期刊
CiteScore
8.40
自引率
11.40%
发文量
1364
审稿时长
40 days
期刊介绍: Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science. The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments. Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate. Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to: Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences, Novel experimental techniques or instrumentation for molecular spectroscopy, Novel theoretical and computational methods, Novel applications in photochemistry and photobiology, Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.
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