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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Ionic liquid-based single-drop microextraction/gas chromatographic/mass spectrometric determination of benzene, toluene, ethylbenzene and xylene isomers in waters

Journal of Chromatography A ◽

10.1016/j.chroma.2008.06.010 ◽

2008 ◽

Vol 1201 (1) ◽

pp. 106-111 ◽

Cited By ~ 101

Author(s):

Eva Aguilera-Herrador ◽

Rafael Lucena ◽

Soledad Cárdenas ◽

Miguel Valcárcel

Keyword(s):

Ionic Liquid ◽

Mass Spectrometric ◽

Single Drop ◽

Mass Spectrometric Determination ◽

Single Drop Microextraction ◽

Benzene Toluene ◽

Xylene Isomers ◽

Chromatographic Mass

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Comparison of SPE-TD-GC-FID with UPLC-PDA and GC-MS Methods for Analysis of Benzene, Toluene and Xylene Isomers in Solid-Liquid Mixing Paints

Chromatographia ◽

10.1007/s10337-011-2029-z ◽

2011 ◽

Vol 74 (1-2) ◽

pp. 163-169 ◽

Cited By ~ 1

Author(s):

Shuai Zhang ◽

Tianbo Zhao ◽

Haiwang Wang ◽

Jia Wang

Keyword(s):

Liquid Mixing ◽

Benzene Toluene ◽

Xylene Isomers ◽

Solid Liquid

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A multi-population state optimization algorithm for rail crack fault diagnosis

Measurement Science and Technology ◽

10.1088/1361-6501/ac42b3 ◽

2021 ◽

Author(s):

Mengmeng Liu

Keyword(s):

Genetic Algorithm ◽

Genetic Algorithms ◽

Fault Diagnosis ◽

Optimization Algorithm ◽

High Stability ◽

Detection Method ◽

Optimal Solutions ◽

Complex Environments ◽

Fast Convergence Rate ◽

Low Efficiency

Abstract The rails usually work in complex environments, which makes them more prone to mechanical failures. In order to better diagnose the crack faults, a multi-population state optimization algorithm (MPVHGA) is proposed in this paper, which is used to solve the problems of low efficiency, easy precocity, and easy convergence of local optimal solutions in traditional genetic algorithms. The detection results of fault signals show that MPVHGA has the advantages of fast convergence rate, high stability, no stagnation, and no limitation of fixed iterations number. The average iterations number of MPVHGA in 100 independent iterations is about 1/5 of the traditional genetic algorithm (SGA for short) and about 1/3 of the population state optimization algorithm (VHGA for short), and the total convergence number of MPVHGA converges to 55 and 10 more than SGA and VHGA respectively, and the accuracy of fault diagnosis can reach 95.04%. On the basis of improving the performance of simple genetic algorithm, this paper provides a new detection method for rail crack fault diagnosis, which has important engineering practical value.

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Microbial degradation of benzene, toluene, ethylbenzene and xylene isomers (BTEX) contaminated groundwater in Korea

Water Science & Technology ◽

10.2166/wst.2001.0415 ◽

2001 ◽

Vol 44 (7) ◽

pp. 165-171 ◽

Cited By ~ 15

Author(s):

S. W. Chang ◽

H. J. La ◽

S. J. Lee

Keyword(s):

Potent Inhibitor ◽

Inhibitory Effect ◽

Contaminated Groundwater ◽

Interaction Patterns ◽

Contaminated Aquifer ◽

Substrate Interaction ◽

Substrate Degradation ◽

Benzene Toluene ◽

Xylene Isomers ◽

Btex Compounds

A mixed culture derived from a gasoline-contaminated aquifer in Korea was enriched on toluene at 25°C. A study was conducted to characterize the substrate interaction of BTEX by toluene-enriched consortia and determine the effects of initial BTEX concentration on BTEX degradation. Substrate degradation patterns in individual aromatics were found to differ significantly from patterns for aromatics in mixtures. In the experiment of a single substrate, toluene was degraded fastest, followed by benzene, ethylbenzene, and the xylenes. In BTEX mixtures, degradation followed the order of toluene, ethylbenzene, benzene, and the xylenes. The studies conducting with toluene-enriched consortia evaluated substrate interactions by the concurrent presence of multiple BTEX compounds and revealed a range of substrate interaction patterns including no interaction, stimulation, inhibition, and cometabolism. The simultaneous presence of benzene and toluene were degraded with a slight inhibitory effect on each other. Ethylbenzene was shown to be the most potent inhibitor of BTEX degradation. p-xylene also inhibited the degradation of benzene, toluene, and ethylbenzene, whereas the presence of either benzene or toluene enhanced the degradation of ethylbenzene and the xylenes.

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Aromatization of C4-C6 hydrocarbons to benzene, toluene and para xylene over pore size controlled ZnO-HZSM-5 zeolite

Recent Advances In Basic and Applied Aspects of Industrial Catalysis, Proceedings of 13th National Symposium and Silver Jubilee Symposium of Catalysis of India - Studies in Surface Science and Catalysis ◽

10.1016/s0167-2991(98)80318-2 ◽

1998 ◽

pp. 447-453 ◽

Cited By ~ 3

Author(s):

J. Das ◽

Y.S. Bhat ◽

A.B. Halgeri

Keyword(s):

Pore Size ◽

Para Xylene ◽

Benzene Toluene ◽

Size Controlled

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Substrate Interactions during the Biodegradation of Benzene, Toluene, Ethylbenzene, and Xylene (BTEX) Hydrocarbons by the Fungus Cladophialophora sp. Strain T1

Applied and Environmental Microbiology ◽

10.1128/aem.68.6.2660-2665.2002 ◽

2002 ◽

Vol 68 (6) ◽

pp. 2660-2665 ◽

Cited By ~ 89

Author(s):

F. X. Prenafeta-Boldú ◽

J. Vervoort ◽

J. T. C. Grotenhuis ◽

J. W. van Groenestijn

Keyword(s):

Soil Fungi ◽

Soluble Fraction ◽

Soil Fungus ◽

Water Soluble ◽

Side Chain ◽

Substrate Interactions ◽

Benzene Toluene ◽

Xylene Isomers ◽

Alkylated Benzenes ◽

Model Water

ABSTRACT The soil fungus Cladophialophora sp. strain T1 (= ATCC MYA-2335) was capable of growth on a model water-soluble fraction of gasoline that contained all six BTEX components (benzene, toluene, ethylbenzene, and the xylene isomers). Benzene was not metabolized, but the alkylated benzenes (toluene, ethylbenzene, and xylenes) were degraded by a combination of assimilation and cometabolism. Toluene and ethylbenzene were used as sources of carbon and energy, whereas the xylenes were cometabolized to different extents. o-Xylene and m-xylene were converted to phthalates as end metabolites; p-xylene was not degraded in complex BTEX mixtures but, in combination with toluene, appeared to be mineralized. The metabolic profiles and the inhibitory nature of the substrate interactions indicated that toluene, ethylbenzene, and xylene were degraded at the side chain by the same monooxygenase enzyme. Our findings suggest that soil fungi could contribute significantly to bioremediation of BTEX pollution.

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