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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Environme...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Environmental Management
Article . 2023 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2022 . Peer-reviewed
Data sources: Crossref
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Evaluation of Joint Toxicity of Btex Mixtures Using Sulfur-Oxidizing Bacteria

Authors: Heonseop Eom; Seunggyu Kim; Sang-Eun Oh;

Evaluation of Joint Toxicity of Btex Mixtures Using Sulfur-Oxidizing Bacteria

Abstract

Benzene (B), toluene (T), ethylbenzene (E), and xylenes (X) are petrochemicals vital in various industrial and commercial processing but identified as priority pollutants due to their high toxicity. The objective of this study was to investigate the toxicological nature of BTEX mixtures under controlled laboratory aquatic conditions using sulfur-oxidizing bacteria (SOB). Results from individual BTEX tests demonstrated that the order of toxicity among BTEX was X ≥ E > T > B. Comparisons of dose-effect curves for BTEX suggest that the biochemical mode of action of B in SOB was different from those of T, E, and X. Toxicological interactions of BTEX in mixtures were studied using concentration addition (CA), independent action (IA), and combination index (CI)-isobologram models. The CI model approximated the actual toxicity of BTEX mixtures better than the CA and IA models. In most cases, BTEX induced synergistic interactions in mixtures. However, in some B-containing mixtures, antagonism was observed at low effective levels. The effective level (fa)-CI plots and polygonograms illustrate that synergistic interactions of BTEX became stronger with an increase in effective levels. In addition, ternary and quaternary mixtures were found to provoke stronger synergism than binary mixtures. The present study suggests that the CI-isobologram model is a suitable means to evaluate diverse toxicological interactions of contaminants in mixtures.

Related Organizations
Keywords

Bacteria, Benzene, Xylenes, Biodegradation, Environmental, Benzene Derivatives, Oxidation-Reduction, Sulfur, Toluene

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
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