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231225s2021 xx |||||o 00| ||eng c |
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|a 10.1007/s10646-020-02311-3
|2 doi
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|a pubmed25n1060.xml
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|a (DE-627)NLM318142198
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|a (NLM)33247806
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Zhang, Yuxuan
|e verfasserin
|4 aut
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| 245 |
1 |
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|a Mixture toxicity effects of chloramphenicol, thiamphenicol, florfenicol in Daphnia magna under different temperatures
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|c 2021
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 16.02.2021
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|a Date Revised 16.02.2021
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|a published: Print-Electronic
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|a ErratumIn: Ecotoxicology. 2021 Jan;30(1):43. doi: 10.1007/s10646-021-02347-z. - PMID 33475913
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|a Citation Status MEDLINE
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|a Acute toxicities of chloramphenicol (CAP), thiamphenicol (TAP), and florfenicol (FLO) and their mixtures on Daphnia magna under two representative temperatures of the aquatic environment (20 and 25 °C) have been examined. Their toxicities depicted with an order of 72-h EC50 values were as follows: CAP > FLO > TAP and CAP ≈ FLO > TAP under 20 and 25 °C, separately. Furthermore, the acute toxicity significantly increased with the rise of temperature from 20 to 25 °C in nearly all separate and mixture phenicol antibiotics. Meanwhile, the most toxic combination under two different temperatures was diverse. The nature of toxicological interactions of phenicol antibiotic mixtures was analyzed by Combination Index (CI) equation. In general, a dual synergism-antagonism effect was dominant in nearly all mixtures at both temperatures. The prediction suitability of Concentration Addition (CA), Independent Action (IA) models, and CI method was compared, suggesting that the CI equation seems to be more appropriate for predicting the toxicity values of phenicol drugs than CA and IA models. In brief, phenicol antibiotic mixtures with temperature variation may pose more significant hazards and risks to aquatic organisms; hence, the environment
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|a Journal Article
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|a Acute toxicity
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| 650 |
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|a Combination Index
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| 650 |
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|a Elevated temperature
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|a Phenicol antibiotics
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| 650 |
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|a Predictive models
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| 650 |
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|a Synergism
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| 650 |
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|a Water Pollutants, Chemical
|2 NLM
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| 650 |
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|a Chloramphenicol
|2 NLM
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| 650 |
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7 |
|a 66974FR9Q1
|2 NLM
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| 650 |
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7 |
|a florfenicol
|2 NLM
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| 650 |
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7 |
|a 9J97307Y1H
|2 NLM
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| 650 |
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7 |
|a Thiamphenicol
|2 NLM
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| 650 |
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7 |
|a FLQ7571NPM
|2 NLM
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| 700 |
1 |
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|a Guo, Peiyong
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wang, Meixian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Wu, Yanmei
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Sun, Yinshi
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Su, Haitao
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Deng, Jun
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t Ecotoxicology (London, England)
|d 1992
|g 30(2021), 1 vom: 28. Jan., Seite 31-42
|w (DE-627)NLM098212214
|x 1573-3017
|7 nnas
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| 773 |
1 |
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|g volume:30
|g year:2021
|g number:1
|g day:28
|g month:01
|g pages:31-42
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|u http://dx.doi.org/10.1007/s10646-020-02311-3
|3 Volltext
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