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用于检测磺酰磺隆的基于丙基邻苯二甲酰亚胺环三聚茶的化学传感器:计算与实验相结合的方法

Propyl-phthalimide Cyclotricatechylene-Based Chemosensor for Sulfosulfuron Detection: Hybrid Computational and Experimental Approach.

作者信息

Patel Nihal, Modi Krunal, Bhatt Keyur, Parikh Jaymin, Desai Ajay, Jain Bhavesh, Parmar Nirali, Patel Chirag N, Liska Alan, Ludvik Jiri, Pillai Shibu, Mohan Brij

机构信息

Department of Chemistry, Faculty of Science, Ganpat University, Kherva, Mehsana, Gujarat 384012, India.

Department of Humanity and Sciences, Indrashil University, Kadi, Mehsana, Gujarat 382740, India.

出版信息

ACS Omega. 2023 Oct 24;8(44):41523-41536. doi: 10.1021/acsomega.3c05510. eCollection 2023 Nov 7.

DOI:10.1021/acsomega.3c05510
PMID:37969992
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10633956/
Abstract

The detection of trace amounts of sulfosulfuron, a pesticide of increasing importance, has become a pressing issue, prompting the development of effective chemosensors. In this study, we functionalized cyclotricatechylene (CTC) with propyl-phthalimide due to the presence of electronegative oxygen and nitrogen binding sites. Our optimized ligand displayed the highest docking score with sulfosulfuron, and experimental studies confirmed a significant fluorescence enhancement upon its interaction with sulfosulfuron. To gain a deeper understanding of the binding mechanism, we introduced density functional theory (DFT) studies. We carried out binding constant, Job's plot, and limit of detection (LOD) calculations to establish the effectiveness of our chemosensor as a selective detector for sulfosulfuron. These findings demonstrate the potential of our chemosensor for future applications in the field of pesticide detection.

摘要

检测痕量的磺酰磺隆(一种日益重要的农药)已成为一个紧迫的问题,这促使人们开发有效的化学传感器。在本研究中,由于存在带负电的氧和氮结合位点,我们用丙基邻苯二甲酰亚胺对环三聚间苯二酚杯芳烃(CTC)进行了功能化。我们优化后的配体与磺酰磺隆的对接分数最高,实验研究证实其与磺酰磺隆相互作用时荧光显著增强。为了更深入地了解结合机制,我们引入了密度泛函理论(DFT)研究。我们进行了结合常数、Job曲线和检测限(LOD)计算,以确定我们的化学传感器作为磺酰磺隆选择性检测器的有效性。这些发现证明了我们的化学传感器在未来农药检测领域应用的潜力。

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本文引用的文献

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The spectroscopic and computational study of anthracene based chemosensor - Ag interactions.基于蒽的化学传感器-银相互作用的光谱和计算研究。
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Carbon nanomaterials for the detection of pesticide residues in food: A review.
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Environ Pollut. 2022 Oct 1;310:119804. doi: 10.1016/j.envpol.2022.119804. Epub 2022 Aug 1.
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Highly hazardous pesticides and related pollutants: Toxicological, regulatory, and analytical aspects.高危害农药及相关污染物:毒理学、法规和分析方面。
Sci Total Environ. 2022 Feb 10;807(Pt 3):151879. doi: 10.1016/j.scitotenv.2021.151879. Epub 2021 Nov 23.
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