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基于生长的细菌活力测定法,用于无干扰和高通量筛选纳米材料的毒性。

Growth-Based Bacterial Viability Assay for Interference-Free and High-Throughput Toxicity Screening of Nanomaterials.

机构信息

Department of Chemistry, University of Minnesota , 207 Pleasant Street SE, Minneapolis, Minnesota 55455, United States.

Chemistry Department, Augsburg College , Minneapolis, Minnesota 55454, United States.

出版信息

Anal Chem. 2017 Feb 7;89(3):2057-2064. doi: 10.1021/acs.analchem.6b04652. Epub 2017 Jan 20.

DOI:10.1021/acs.analchem.6b04652
PMID:28208291
Abstract

Current high-throughput approaches evaluating toxicity of chemical agents toward bacteria typically rely on optical assays, such as luminescence and absorbance, to probe the viability of the bacteria. However, when applied to toxicity induced by nanomaterials, scattering and absorbance from the nanomaterials act as interferences that complicate quantitative analysis. Herein, we describe a bacterial viability assay that is free of optical interference from nanomaterials and can be performed in a high-throughput format on 96-well plates. In this assay, bacteria were exposed to various materials and then diluted by a large factor into fresh growth medium. The large dilution ensured minimal optical interference from the nanomaterial when reading optical density, and the residue left from the exposure mixture after dilution was confirmed not to impact the bacterial growth profile. The fractions of viable cells after exposure were allowed to grow in fresh medium to generate measurable growth curves. Bacterial viability was then quantitatively correlated to the delay of bacterial growth compared to a reference regarded as 100% viable cells; data analysis was inspired by that in quantitative polymerase chain reactions, where the delay in the amplification curve is correlated to the starting amount of the template nucleic acid. Fast and robust data analysis was achieved by developing computer algorithms carried out using R. This method was tested on four bacterial strains, including both Gram-negative and Gram-positive bacteria, showing great potential for application to all culturable bacterial strains. With the increasing diversity of engineered nanomaterials being considered for large-scale use, this high-throughput screening method will facilitate rapid screening of nanomaterial toxicity and thus inform the risk assessment of nanoparticles in a timely fashion.

摘要

目前评估化学试剂对细菌毒性的高通量方法通常依赖于光学检测,如发光和吸光度,来探测细菌的活力。然而,当应用于纳米材料引起的毒性时,纳米材料的散射和吸收会产生干扰,从而使定量分析变得复杂。本文介绍了一种不受纳米材料光学干扰的细菌活力检测方法,可以在 96 孔板上以高通量的方式进行。在这个检测中,细菌暴露于各种材料中,然后用大倍数稀释到新鲜的生长培养基中。大倍数稀释确保在读取光密度时,纳米材料的光学干扰最小,并且稀释后暴露混合物的残留物不会影响细菌的生长曲线。暴露后的活细胞分数在新鲜培养基中生长,以生成可测量的生长曲线。然后将细菌活力定量关联到与参考相比的细菌生长延迟,参考被认为是 100%存活的细胞;数据分析受到定量聚合酶链反应的启发,其中扩增曲线的延迟与模板核酸的起始量相关。通过使用 R 开发计算机算法实现了快速稳健的数据分析。该方法在四种细菌菌株上进行了测试,包括革兰氏阴性菌和革兰氏阳性菌,显示出在所有可培养的细菌菌株中应用的巨大潜力。随着越来越多的工程纳米材料被考虑用于大规模应用,这种高通量筛选方法将有助于快速筛选纳米材料的毒性,从而及时为纳米颗粒的风险评估提供信息。

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