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Title: | Predicting the long-term toxicity of five-antibiotic mixtures to Vibrio qinghaiensis sp. Q67 |
Authors: | Zhang, Jin Chen, Qiong |
Keywords: | Antibiotics mixtures concentration addition long-term toxicity |
Issue Date: | 2-Sep-2014 |
Publisher: | Karachi: Faculty of Pharmacy & Pharmaceutical Sciences University of Karachi |
Citation: | Zhang, J., & Chen, Q. (2014). Predicting the long-term toxicity of five-antibiotic mixtures to Vibrio qinghaiensis sp. Q67. Pakistan Journal of Pharmaceutical Sciences, 27(5). |
Abstract: | Concentration addition (CA) is commonly used as a standard additive reference model to predict the shortterm toxicity for most chemical mixtures. Whether CA can predict the long-term toxicity of antibiotic mixtures was investigated. The long-term toxicity of five antibiotics including apramycin sulfate, paromomycin sulfate, tetracycline hydrochloride, chloramphenicol and streptomycin sulfate and their mixtures to a photo bacterium Q67 were detected by the long-term toxicity microplate analysis procedure. Seven five-antibiotic mixtures with various concentration ratios and concentration levels were designed by employing uniform design ray method. The long-term mixture toxicity was predicted by CA based on the toxicity data of single antibiotics. The results showed that Weibull or Logit function fit well with the long-term toxicity data of all the components and their mixtures (R>0.98 and RMSE<0.07). According the toxicity index, the negative logarithm of mean effect concentration, the long-term toxicity of the five antibiotics differs greatly and is higher than their short-term toxicity. The predicted values by CA model conformed to the experimental values of mixtures, which implies CA can predict reliable results for the long-term toxicity of antibiotic mixtures. |
URI: | http://142.54.178.187:9060/xmlui/handle/123456789/16209 |
ISSN: | 1011-601X |
Appears in Collections: | Issue No.5 (Supplementary) |
Files in This Item:
File | Description | Size | Format | |
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2-SUP-67.htm | 145 B | HTML | View/Open |
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