Literature DB >> 21462055

Spatial and seasonal distribution of selected antibiotics in surface waters of the Pearl Rivers, China.

Ji-Feng Yang1, Guang-Guo Ying, Jian-Liang Zhao, Ran Tao, Hao-Chang Su, You-Sheng Liu.   

Abstract

The distribution and occurrence of 15 antibiotics in surface water of the Pearl River System (Liuxi River, Shijing River and Zhujiang River) and effluents of four wastewater treatment plants (WWTPs) were investigated in two sampling events representing wet season and dry season by using rapid resolution liquid chromatography-electrospray tandem mass spectrometry (RRLC-MS/MS) in positive ionization mode. Only eight antibiotics (sulfadiazine, sulfapyridine, sulfamethazine, sulfamethoxazole, trimethoprim, roxithromycin, erythromycin-H₂O and norfloxacin) were detected in the water samples of the three rivers and the effluents. The detection frequencies and levels of antibiotics in the dry season were higher than those in the wet season. This could be attributed to the dilution effects in the wet season and relatively lower temperature in the dry season under which antibiotics could persist for a longer period. The levels of the detected antibiotics in different sites are generally in a decreasing order as follows: Shijing River ≥WWTP effluent ≥Zhujiang River ≥ Liuxi River. Risk assessment based on the calculated risk quotients showed that only erythromycin-H₂O and roxithromycin detected in the Pearl Rivers might have adverse effects on aquatic organisms.

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Year:  2011        PMID: 21462055     DOI: 10.1080/03601234.2011.540540

Source DB:  PubMed          Journal:  J Environ Sci Health B        ISSN: 0360-1234            Impact factor:   1.990


  23 in total

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8.  Evaluation of CDOM sources and their links with antibiotics in the rivers dividing China and North Korea using fluorescence spectroscopy.

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10.  Occurrence and distribution of selected antibiotics in the surface waters and ecological risk assessment based on the theory of natural disaster.

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Journal:  Environ Sci Pollut Res Int       Date:  2019-08-02       Impact factor: 4.223

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