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Characterization of physicochemical properties of nanomaterials and their immediate environments in high-throughput screening of nanomaterial biological activity

机译:高通量筛选纳米材料生物活性时,纳米材料的理化性质及其附近环境的表征

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Thousands of nanomaterials (NMs) are in commerce and few have toxicity data. To prioritize NMs for toxicity testing, high-throughput screening (HTS) of biological activity may be the only practical and timely approach to provide the necessary information. As in all nanotoxicologic studies, characterization of physicochemical properties of NMs and their immediate environments in HTS is critical to understanding how these properties affect NM bioactivity and to allow extrapolation to NMs not screened. The purpose of the study, the expert-groups-recommended minimal characterization, and NM physicochemical properties likely to affect measured bioactivity all help determine the scope of characterization. A major obstacle in reaping the full benefits of HTS for NMs is the low throughput of NM physicochemical characterization, which may require more sample quantity than HTS assays. Increasing the throughput and speed, and decreasing the amount of NMs needed for characterization are crucial. Finding characterization techniques and biological activity assays compatible with diverse classes of NMs is a challenge and multiple approaches for the same endpoints may be necessary. Use of computational tools and nanoinformatics for organizing and analyzing data are important to fully utilize the power of HTS. Other desired advances include the ability to more fully characterize: pristine NM without prior knowledge of NM physicochemical properties; non-pristine NMs (e.g., after use); NM in not-perfectly-dispersed suspension; and NM in biological samples at exposure-relevant conditions. Through combining HTS and physicochemical characterization results, we will better understand NM bioactivities, prioritize NMs for further testing, and build computational models to predict NM toxicity.
机译:数以千计的纳米材料(NMs)在商业中,很少有毒性数据。为了将NMs优先用于毒性测试,对生物活性进行高通量筛选(HTS)可能是提供必要信息的唯一实用且及时的方法。与所有纳米毒理学研究一样,表征HTS中NMs及其附近环境的理化特性对于理解这些特性如何影响NM生物活性以及允许推断未筛选的NMs至关重要。研究的目的,专家组推荐的最小特征以及可能影响所测生物活性的NM物理化学性质均有助于确定特征范围。收获HTS对于NM的全部好处的主要障碍是NM理化特性的通量低,这可能需要比HTS分析更多的样品量。增加吞吐量和速度以及减少表征所需的NM数量至关重要。寻找与各种类型的NM兼容的表征技术和生物活性测定法是一项挑战,对于相同的终点可能需要多种方法。使用计算工具和纳米信息学来组织和分析数据对于充分利用HTS的功能很重要。其他所需的进展包括更全面地表征的能力:原始NM,无需事先了解NM的理化特性;非原始NM(例如,使用后); NM在未完全分散的悬浮液中;和暴露相关条件下生物样品中的NM和NM。通过结合高温超导和理化表征结果,我们将更好地了解NM的生物活性,确定NM的优先级以进行进一步测试,并建立可预测NM毒性的计算模型。

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