| 北京东南郊土壤剖面氟喹诺酮类抗生素分布特征 |
| 摘要点击 2964 全文点击 1439 投稿时间：2014-03-28 修订日期：2014-06-25 |
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| 中文关键词 氟喹诺酮类抗生素 土壤 污染物 HPLC分析方法 聚类分析方法 |
| 英文关键词 fluoroquinolones antibiotics soil pollutants HPLC clustering method |
| 作者 | 单位 | E-mail | | 苏思慧 | 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 | susihui1990@126.com | | 何江涛 | 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 | jthe@cugb.edu.cn | | 杨蕾 | 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 | | | 乔肖翠 | 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 | | | 崔亚丰 | 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 | |
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| 中文摘要 |
| 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. |
| 英文摘要 |
| Eighty-six soil samples were collected using Geoprobe soil sampler from 11 borehole profiles of Beijing Southeast suburb. The sampling sites could be divided into 8 kinds of landuse. Physical and chemical properties of samples were analyzed. The concentrations of 5 fluoroquinolones (FQs) were analyzed by the high-performance liquid chromatography. Results show that the average value of total concentrations of 5 FQs is 46.1 μg·kg-1. Ofloxacin(OFL) is the predominant among them, and then is norfloxacin(NOR). Last comes to enrofloxacin(ENR), ciprofloxacin(CIP) and lomefloxacin (LOM). There are significant differences in FQs concentrations and kinds among the 8 land use types of soil profiles. The average value of total concentrations of 5 FQs decrease with an increasing of soil depth. The average concentration of OFL, NOR, LOM and ENR decrease with an increasing of soil depth. But CIP has the opposite result. Based on FQs concentrations from 42 soil samples with a depth among 0 to 3 meters, contamination characteristics of FQs were analyzed by fuzzy hierarchial clustering. Sampling sites of vegetable greenhouse, woods, sewage irrigation zone, groundwater irrigation zone, livestock and poultry farm, sediments from sewage river have similar components and contents of FQs, with less kinds and low concentration. In contrast, sampling sites of pharmaceutical enterprises and refuse landfill have more kinds and medium concentration of FQs. |
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