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Determining Biodegradation Kinetics of Hydrocarbons at Low Concentrations: Covering 5 and 9 Orders of Magnitude of K_(ow) and K_(aw)

机译:确定低浓度烃的生物降解动力学:涵盖K_(ow)和K_(aw)的5和9个数量级

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摘要

A partitioning-based experimental platform was developed and applied to determine primary biodegradation kinetics of 53 hydrocarbons at ng/L to μg/L concentrations covering C8–C20, 11 structural classes, and several orders of magnitude in hydrophobicity and volatility: (1) Passive dosing from a loaded silicone donor was used to set the concentration of each hydrocarbon in mixture stock solutions; (2) these solutions were combined with environmental water samples in gastight auto sampler vials for 1–100 days incubation, and (3) automated solid phase microextraction (SPME) coupled to GC-MS was applied directly on these test systems for measuring primary biodegradation relative to abiotic controls. First order biodegradation kinetics were obtained for 40 hydrocarbons in activated sludge filtrate, 18 in seawater, and 21 in lake water. Water phase half-lives in seawater and lake water were poorly related to hydrophobicity and volatility but were, with a few exceptions, within a factor of 10 or shorter than BioHCwin predictions. The most persistent hydrocarbons, 1,1,4,4,6-pentamethyldecalin, perhydropyrene, 1,2,3,6,7,8-hexahydropyrene, and 2,2,4,4,6,8,8-heptamethylnonane, showed limited or inconsistent degradation in all three environmental media. This biodegradation approach can cover a large chemical space at low substrate concentrations, which makes it highly suited for optimizing predictive models for environmental biodegradation.
机译:开发了基于分区的实验平台,并将其应用于确定涵盖ng / L至μg/ L浓度的53种碳氢化合物的主要生物降解动力学,涵盖C8–C20、11个结构类别以及疏水性和挥发性的几个数量级:(1)被动从负载的硅氧烷供体中加入的剂量用于设定混合储备溶液中每种烃的浓度。 (2)将这些溶液与环境水样品在不漏气的自动进样器样品瓶中孵育1–100天,(3)与GC-MS联用的自动固相微萃取(SPME)直接应用于这些测试系统,以测量主要生物降解相对于非生物对照。活性污泥滤液中的40种碳氢化合物,海水中的18种和湖水中的21种获得了一级生物降解动力学。海水和湖泊水中的水相半衰期与疏水性和挥发性的相关性很弱,但除少数例外,与BioHCwin的预测相差十倍或更短。最持久的碳氢化合物1,1,4,4,6-五甲基十氢化萘,全氢py,1,2,3,6,7,8-六氢py和2,2,4,4,6,8,8-七甲基壬烷,在所有三种环境介质中均显示出有限或不一致的降解。这种生物降解方法可以在低底物浓度下覆盖较大的化学空间,这使其非常适合优化环境生物降解的预测模型。

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  • 来源
    《Environmental Science & Technology》 |2018年第4期|2143-2151|共9页
  • 作者单位

    Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, 2800 Kongens Lyngby, Denmark;

    Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, 2800 Kongens Lyngby, Denmark;

    Department of Environmental Engineering, Technical University of Denmark, Bygningstorvet, Building 115, 2800 Kongens Lyngby, Denmark;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:56:34

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