Center for Chemical Toxicology Research and Pharmacokinetics, North Carolina State University, Raleigh, North Carolina 27607, USA.
ACS Nano. 2011 Nov 22;5(11):9074-81. doi: 10.1021/nn203303c. Epub 2011 Oct 27.
The biological surface adsorption index (BSAI) is a novel approach to characterize surface adsorption energy of nanomaterials that is the primary force behind nanoparticle aggregation, protein corona formation, and other complex interactions of nanomaterials within biological systems. Five quantitative nanodescriptors were obtained to represent the surface adsorption forces (hydrophobicity, hydrogen bond, polarity/polarizability, and lone-pair electrons) of the nanomaterial interaction with biological components. We have mapped the surface adsorption forces over 16 different nanomaterials. When the five-dimensional information of the nanodescriptors was reduced to two dimensions, the 16 nanomaterials were classified into distinct clusters according their surface adsorption properties. BSAI nanodescriptors are intrinsic properties of nanomaterials useful for quantitative structure-activity relationship (QSAR) model development. This is the first success in quantitative characterization of the surface adsorption forces of nanomaterials in biological conditions, which could open a quantitative avenue in predictive nanomedicine development, risk assessment, and safety evaluation of nanomaterials.
生物表面吸附指数 (BSAI) 是一种用于描述纳米材料表面吸附能的新方法，这是纳米粒子聚集、蛋白质冠形成以及生物系统中纳米材料其他复杂相互作用的主要驱动力。该方法获得了五个定量纳米描述符，用于代表纳米材料与生物成分相互作用的表面吸附力（疏水性、氢键、极性/极化率和孤对电子）。我们已经对 16 种不同的纳米材料进行了表面吸附力映射。当将纳米描述符的五维信息简化为二维时，根据其表面吸附特性，这 16 种纳米材料被分为不同的簇。BSAI 纳米描述符是纳米材料的固有特性，可用于定量构效关系 (QSAR) 模型的开发。这是首次在生物条件下对纳米材料表面吸附力进行定量表征，这可能为预测性纳米医学开发、风险评估和纳米材料安全性评估开辟了定量途径。
