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Stability, Bioavailability, and Bacterial Toxicity of ZnO and Iron-Doped ZnO Nanopartides in Aquatic Media

机译:ZnO和掺铁的ZnO纳米粒子在水介质中的稳定性,生物利用度和细菌毒性

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摘要

The stability and bioavailability of nanopartides is governed by the interfacial properties that nanopartides acquire when immersed in a particular aquatic media as well as the type of organism or cell under consideration. Herein, high-throughput screening (HTS) was used to elucidate ZnO nanoparticle stability, bioavailability, and antibacterial mechanisms as a function of iron doping level (in the ZnO nanopartides), aquatic chemistry, and bacterial cell type. ξ-Potential and aggregation state of dispersed ZnO nanopartides was strongly influenced by iron doping in addition to electrolyte composition and dissolved organic matter, however, bacterial inactivation by ZnO nanopartides was most significantly influenced by Zn~(2+) ions dissolution, cell type, and organic matter. Nanoparticle IC_(50) values determined for Bacillus subtilis and Escherichia coli were on the order of 0.3-0.5 and 15-43 mg/L (as Zn~(2+)), while the IC~(50) for Zn~(20) tolerant Pseudomonas putida was always >500 mg/ L Tannic acid decreased toxicity of ZnO nanopartides more than humic, fulvic, and alginic acid, because it complexed the most free Zn~(2+) ions, thereby reducing their bioavailability. These results underscore the complexities and challenges regulators face in assessing potential environmental impacts of nanotechnology; however, the high-throughput and combinatorial methods employed promise to rapidly expand the knowledge base needed to develop an appropriate risk assessment framework.
机译:纳米粒子的稳定性和生物利用度受纳米粒子浸入特定水生介质时获得的界面特性以及所考虑的生物或细胞的类型支配。在本文中,高通量筛选(HTS)用于阐明ZnO纳米颗粒的稳定性,生物利用度和抗菌机制,作为铁掺杂水平(在ZnO纳米颗粒中),水生化学和细菌细胞类型的函数。分散的ZnO纳米粒子的ξ-电势和聚集状态除了受电解质组成和溶解的有机物的影响外,还受到铁掺杂的影响,然而,ZnO(2+)离子的溶解,细胞类型,和有机物。枯草芽孢杆菌和大肠杆菌的纳米粒子IC_(50)值约为0.3-0.5和15-43 mg / L(以Zn〜(2+)计),而Zn〜(20 )恶臭假单胞菌(Pseudomonas putida)始终大于500 mg / L单宁酸比大量腐殖酸,富里酸和海藻酸更能降低ZnO纳米颗粒的毒性,因为它络合了最游离的Zn〜(2+)离子,从而降低了其生物利用度。这些结果突显了监管机构在评估纳米技术对环境的潜在影响方面所面临的复杂性和挑战。但是,采用的高通量和组合方法有望迅速扩展开发适当的风险评估框架所需的知识库。

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  • 来源
    《Environmental Science & Technology》 |2011年第2期|p.755-761|共7页
  • 作者单位

    Department of Civil & Environmental Engineering, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States, California NanoSystems Institute, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States;

    rnMolecular Screening Shared Resource, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States;

    rnDepartment of Civil & Environmental Engineering, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States, California NanoSystems Institute, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States;

    rnCalifornia NanoSystems Institute, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States, Molecular Screening Shared Resource, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States;

    rnCalifornia NanoSystems Institute, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States, Foundation Institute of Materials Science (IWT), Department of Production Engineering, University of Bremen, Germany;

    rnDepartment of Civil & Environmental Engineering, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States, California NanoSystems Institute, University of California-Los Angeles (UCLA) Los Angeles, California, 90095, United States University of California-Los Angeles, Department of Civil and Environmental Engineering, 5732 BoelterHall,P.O.Box 951593,LosAngeles,CA, 90095-1593;

  • 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
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  • 入库时间 2022-08-17 14:03:35

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