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北京东南郊土壤剖面氟喹诺酮类抗生素分布特征
引用本文:苏思慧,何江涛,杨蕾,乔肖翠,崔亚丰.北京东南郊土壤剖面氟喹诺酮类抗生素分布特征[J].环境科学,2014,35(11):4257-4266.
作者姓名:苏思慧  何江涛  杨蕾  乔肖翠  崔亚丰
作者单位:中国地质大学 北京 水资源与环境学院,水资源与环境工程北京市重点实验室,北京 100083
基金项目:环境保护公益性行业科研专项
摘    要:采用Geoprobe在北京东南郊地区实施了土壤剖面钻探,针对8种不同类型土地利用状况的土壤剖面进行土壤采集工作,11个采样点共采集86个土壤样品,分析了土壤样品的理化参数,并且采用高效液相色谱法对土壤样品中5种氟喹诺酮类抗生素(FQs)进行了定量分析.结果表明,北京地区土壤样品中5种氟喹诺酮类抗生素总含量的平均值为46.1μg·kg-1,组成以氧氟沙星(OFL)为主,其次为诺氟沙星(NOR),而恩诺沙星(ENR)、环丙沙星(CIP)和洛美沙星(LOM)的含量很低;不同土壤剖面中氟喹诺酮类抗生素的含量和组成差异明显.5种氟喹诺酮类抗生素总含量的平均值随土壤深度的增加呈现降低的趋势.OFL、NOR、LOM和ENR的平均含量随着深度增加而降低;CIP的平均含量随深度增加先降低后升高.对42个位于浅层(0~3 m)的土壤样品进行模糊聚类分析,结果表明,蔬菜大棚、树林、再生水灌区、地下水灌区(清灌区)、养殖场、排污河沉积物的浅层土壤样品中的喹诺酮类抗生素具有相似的组成特征,即抗生素污染水平较低、种类较少;而制药企业及垃圾填埋场的组成特征与前者明显不同,即抗生素污染水平中等、种类较多.

关 键 词:氟喹诺酮类抗生素  土壤  污染物  HPLC分析方法  聚类分析方法
收稿时间:2014/3/28 0:00:00
修稿时间:2014/6/25 0:00:00

Contamination Characteristics of Fluoroquinolones in Different Kinds of Soil Profiles in Southeast Suburb of Beijing
SU Si-hui,HE Jiang-tao,YANG Lei,QIAO Xiao-cui and CUI Ya-feng.Contamination Characteristics of Fluoroquinolones in Different Kinds of Soil Profiles in Southeast Suburb of Beijing[J].Chinese Journal of Environmental Science,2014,35(11):4257-4266.
Authors:SU Si-hui  HE Jiang-tao  YANG Lei  QIAO Xiao-cui and CUI Ya-feng
Institution:Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China;Beijing Key Laboratory of Water Resources and Environmental Engineering, School of Water Resources and Environment, China University of Geosciences, Beijing 100083, China
Abstract:
Keywords:fluoroquinolones antibiotics  soil  pollutants  HPLC  clustering method
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