燃料污染雪地环境中苯、甲苯、乙苯、二甲苯和异丙烯(BTEXC)化合物的荧光检测

D. J. DiScenza, Lauren E. Intravaia, A. Healy, Sage Dubrawski, Mindy Levine
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引用次数: 3

摘要

本文报道了环糊精促进的荧光对来自罗德岛州几个地点的污染雪样品中苯、甲苯、乙苯、二甲苯和异丙苯(BTEXC)燃料成分的敏感和选择性检测。该检测方法使用环糊精作为超分子支架,促进高量子产率荧光团的分析物特异性,邻近诱导荧光调制,从而导致所研究的每种环糊精-分析物-荧光团组合的独特荧光响应,并使用线性判别分析(LDA)为每种分析物提供独特的模式标识。该检测方法具有高灵敏度(亚微摩尔检测限)、选择性(结构相似的化合物之间100%的区分,如邻位、间位和对二甲苯异构体)和广泛的适用性(不同的雪样品具有不同的化学成分、pH值和电导率)。该方法具有高选择性、高灵敏度和广泛的适用性,在开发复杂环境中芳香族毒物的实用检测设备方面具有重要的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fluorescence-Based Detection of Benzene, Toluene, Ethylbenzene, Xylene, and Cumene (BTEXC) Compounds in Fuel-Contaminated Snow Environments
Reported herein is the sensitive and selective cyclodextrin-promoted fluorescence detection of benzene, toluene, ethylbenzene, xylene, and cumene (BTEXC) fuel components in contaminated snow samples collected from several locations in the state of Rhode Island. This detection method uses cyclodextrin as a supramolecular scaffold to promote analyte-specific, proximity-induced fluorescence modulation of a high-quantum-yield fluorophore, which leads to unique fluorescence responses for each cyclodextrin-analyte-fluorophore combination investigated and enables unique pattern identifiers for each analyte using linear discriminant analysis (LDA). This detection method operates with high levels of sensitivity (sub-micromolar detection limits), selectivity (100% differentiation between structurally similar compounds, such as ortho-, meta-, and para-xylene isomers), and broad applicability (for different snow samples with varying chemical composition, pH, and electrical conductivity). The high selectivity, sensitivity, and broad applicability of this method indicate significant potential in the development of practical detection devices for aromatic toxicants in complex environments.
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