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Developing a high throughput screening approach to predict the potential toxicity of engineered nanomaterials.

机译:开发高通量筛选方法以预测工程纳米材料的潜在毒性。

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摘要

With rapid expansion in the industrial manufacturing and use of engineered nanomaterials (ENMs), there has come an increased concern for potential adverse effects from exposures to human health and the environment. Consequently, there are critical needs to identify hazards and to evaluate these novel materials so that ENM production and usage can be appropriately regulated. Since the existing toxicity approaches are unable to handle the rapid rate that these materials are being produced, the development of reliable, simple, high throughput toxicity screening approaches capable of predicting potential toxicity of these novel ENMs are needed.;The objects of this proposed study are (1) to develop a high throughput screening technique to predict the potential toxicity of engineered nanoparticles (ENPs) based on their ability to elicit biological oxidative damage (see Chapter II), (2) to utilize an approach that is simultaneously sensitive to multiple physicochemical parameters of ENPs to understand the influence of these factors on biological oxidative damage (see Chapter III), and (3) to evaluate the applicability of a newly optimized simple, robust, cell free approach---using the Ferric Reducing Ability of Serum (ERAS) assay as a nanotoxicity screening test (see Chapter IV).;The results demonstrated that (1) ERAS determined BOD reveals a dose relationship to ENP exposure levels, (2) the FRAS approach appears responsive to multiple determinants of potential toxicity, such as particle chemistry, surface area, crystallinity, morphology, and metal impurities, and (3) FRAS determined BOD shows a high concordance to other positive and negative reports of cytoxicity and inflammatory processes by nanomaterials in higher tier toxicity evaluations.
机译:随着工业制造的快速发展和工程纳米材料(ENM)的使用,人们越来越担心暴露于人类健康和环境中可能产生的不利影响。因此,迫切需要识别危害并评估这些新颖的材料,以便可以适当地调节ENM的生产和使用。由于现有的毒性方法无法应对这些材料的快速生产速度,因此需要开发一种能够预测这些新型ENM潜在毒性的可靠,简单,高通量的毒性筛选方法。 (1)开发一种高通量筛选技术,以基于工程化纳米粒子引起生物氧化损伤的能力来预测工程化纳米粒子(ENP)的潜在毒性(请参阅第二章),(2)采用对多种物质同时敏感的方法ENP的理化参数,以了解这些因素对生物氧化损伤的影响(请参阅第三章),以及(3)评估新优化的简单,稳健,无细胞方法的适用性-使用血清的铁减少能力(ERAS)分析法作为纳米毒性筛选试验(参见第四章);结果表明(1)ERAS测定的BOD揭示了剂量关系t o ENP暴露水平,(2)FRAS方法似乎对多种潜在毒性决定因素有反应,例如颗粒化学,表面积,结晶度,形态和金属杂质,以及(3)FRAS测定的BOD与其他阳性结果高度一致在更高级别的毒性评估中,纳米材料对细胞毒性和炎症过程的负面报道。

著录项

  • 作者

    Hsieh, Shu-Feng.;

  • 作者单位

    University of Massachusetts Lowell.;

  • 授予单位 University of Massachusetts Lowell.;
  • 学科 Health Sciences Occupational Health and Safety.;Environmental Sciences.;Health Sciences Toxicology.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 183 p.
  • 总页数 183
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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