Detection of a Nerve Agent Simulant by a Fluorescent Sensor Array

IF 3.7 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL Chemosensors Pub Date : 2023-09-15 DOI:10.3390/chemosensors11090503
Rossella Santonocito, Mario Spina, Roberta Puglisi, Andrea Pappalardo, Nunzio Tuccitto, Giuseppe Trusso Sfrazzetto
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Abstract

Detection of nerve agents (NAs) gas in the environment through portable devices to protect people in case of emergencies still remains a challenge for scientists involved in this research field. Current detection strategies require the use of cumbersome, expensive equipment that is only accessible to specialized personnel. By contrast, emerging optical detection is one of the most promising strategies for the development of reliable, easy readout devices. However, the selectivity of the existing optical sensors needs to be improved. To overcome the lack of selectivity, the innovative strategy of the optical arrays is under evaluation due to the specific response, the ease of preparation, the portability of the equipment, and the possibility to use affordable detectors, such as smartphones, that are easily accessible to non-specialized operators. In this work, the first optical-based sensor array for the selective detection of gaseous dimethylmethylphosphonate (DMMP), a NAs simulant, is reported, employing a simple smartphone as a detector and obtaining remarkably efficient and selective detection.
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用荧光传感器阵列检测神经毒剂模拟物
通过便携式设备检测环境中的神经毒剂(NAs)气体,以在紧急情况下保护人们,仍然是参与该研究领域的科学家面临的挑战。目前的检测策略需要使用笨重、昂贵的设备,只有专业人员才能使用。相比之下,新兴的光学检测是开发可靠、易于读取设备的最有前途的策略之一。但是,现有光学传感器的选择性还有待提高。为了克服选择性的缺乏,由于特定的响应,易于准备,设备的便携性以及使用价格合理的探测器(如智能手机)的可能性,光学阵列的创新策略正在进行评估,非专业操作人员很容易获得。在这项工作中,报道了第一个用于选择性检测气态二甲基膦酸盐(DMMP)的光学传感器阵列,这是一种NAs模拟物,采用简单的智能手机作为检测器,并获得了非常高效和选择性的检测。
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来源期刊
Chemosensors
Chemosensors Chemistry-Analytical Chemistry
CiteScore
5.00
自引率
9.50%
发文量
450
审稿时长
11 weeks
期刊介绍: Chemosensors (ISSN 2227-9040; CODEN: CHEMO9) is an international, scientific, open access journal on the science and technology of chemical sensors published quarterly online by MDPI.The journal is indexed in Scopus, SCIE (Web of Science), CAPlus / SciFinder, Inspec, Engineering Village and other databases.
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