Key Component Analysis of the Time Toxicity Interaction of Five Antibiotics to Q67

Author:

Liang Luyi1,Qin Litang12,Liu Yongan1,Mo Lingyun123ORCID,Dai Junfeng12,Wang Dunqiu13

Affiliation:

1. College of Environmental Science and Engineering, Guilin University of Technology, Guilin 541006, China

2. Collaborative Innovation Center for Water Pollution Control and Water Safety in Karst Area, Guilin University of Technology, Guilin 541006, China

3. Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology, Guilin 541006, China

Abstract

Antibiotics are considered as persistent emerging contaminants. The phenomenon of mixed exposure to the environment is a common occurrence causing serious harm to human health and the environment. Therefore, we employed enrofloxacin (ENR), chlortetracycline (CTC), methotrexate (TMP), chloramphenicol (CMP), and erythromycin (ETM) in this study. Nine treatments were designed using the uniform design concentration ratio (UDCR) method to systematically determine the toxicity of individual contaminants and their mixtures on Vibrio qinghaiensis sp.-Q67 through the time-dependent microplate toxicity assay. The combinatorial index (CI) method and the dose reduction index (DRI) were used to analyze the toxic interactions of the mixtures and the magnitude of the contribution of each component to the toxic interactions. The results showed that the toxicities of ENR, CTC, TMR, CMP, and ETM and their mixtures were time-dependent, with toxic effects being enhanced except when exposure time was prolonged. The types of toxic interactions in the ENR-CTC-TMR-CMP-ETM mixtures were found to be correlated with the proportion of each component’s concentration, where the proportion of the components exerted the most significant influence. Through DRI extrapolation, it was determined that the primary components of the mixture exhibited a pronounced dependency on time. Specifically, at the 4 h mark, TMP emerged as the predominant component, gradually giving way to ENR as time advanced. Upon analyzing the frequency of mixture interactions under specified effects, the additive effect appeared most frequently (66.6%), while the antagonist effect appeared the least frequently (15.9%) among the nine rays.

Funder

National Natural Science Foundation of China

Guangxi Key Research and Development Program

Guilin Science and Technology Program

Guangxi Engineering Research Center of Comprehensive Treatment for Agricultural Non-Point Source Pollution

Modern Industry College of Ecology and Environmental Protection, Guilin University of Technology

Publisher

MDPI AG

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