利用分子探针吸附表征纳米颗粒电晕相及分子识别。

IF 3.9 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Gabriel Sánchez-Velázquez, Duc Thinh Khong, Minkyung Park, Xiaojia Jin, Zhe Yuan, Xun Gong, Mervin Chun-Yi Ang and Michael S. Strano*, 
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引用次数: 0

摘要

纳米粒子电晕──吸附在纳米粒子表面的分子层──对于控制分子相互作用以及在催化、纳米粒子分离和传感技术中的应用至关重要。然而,到目前为止,表征电晕相所占据的吸附表面积一直是困难的,而且无法用传统的粒度测定方法获得。在此基础上,我们提出了分子探针吸附(MPA)技术,并将其应用于大量的数据集来测量该表面积。MPA采用荧光探针,在纳米颗粒表面吸附时淬火,以量化溶剂暴露的表面积。我们使用MPA对20种新的碳纳米管(CNT)电晕相进行了评价,并进一步分析了五种先前研究过的用作纳米传感器的结构。我们发现聚合物的刚度,通过其持续长度测量,与电晕相碳纳米管表面覆盖率相关,提供了一个新的设计准则。我们还建立了一种结构-性质关系,将mpa衍生的表面积与探针吸附参数联系起来,注意到单链DNA和高分子量聚合物表现出不同的探针-电晕相互作用,其结合亲和力变化近2.7倍。mpa衍生的表面积被证明是分子动力学/热力学计算的补充,可以完全在计算机上预测42种植物激素的结合亲和力,为虚拟筛选日冕相提供了一种手段。通过这种方式,MPA被证明是纳米颗粒和纳米传感器应用的预测设计工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Using Molecular Probe Adsorption to Characterize the Nanoparticle Corona Phase and Molecular Recognition

Using Molecular Probe Adsorption to Characterize the Nanoparticle Corona Phase and Molecular Recognition

The nanoparticle corona─a molecular layer adsorbed on nanoparticle surfaces─is critical for controlling molecular interactions and enabling applications in catalysis, nanoparticle separations, and sensing technologies. However, to date, characterizing the adsorbed surface area occupied by the corona phase has been difficult and not accessible with conventional particle sizing methods. Herein, we advance the technique of molecular probe adsorption (MPA) to measure this surface area by applying it to a large number of data sets. MPA employs a fluorescent probe that is quenched on adsorption to the nanoparticle surface to quantify the solvent-exposed surface area. We use MPA to evaluate 20 new carbon nanotube (CNT) corona phases and further analyze five previously studied constructs that have been used as nanosensors. We find that polymer stiffness, measured by its persistence length, correlates with corona phase CNT surface coverage, providing a new design criterion. We also establish a structure–property relationship linking MPA-derived surface area to probe adsorption parameters, noting that single-stranded DNA and high-molecular-weight polymers exhibit differing probe–corona interactions, with binding affinities varying by a factor of nearly 2.7. MPA-derived surface areas are shown to complement molecular-dynamics/thermodynamic calculations to predict binding affinities for 42 phytohormones entirely in silico, providing a means to screen corona phases virtually. In this way, MPA is shown to be a predictive design tool for nanoparticle and nanosensor applications.

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来源期刊
Langmuir
Langmuir 化学-材料科学:综合
CiteScore
6.50
自引率
10.30%
发文量
1464
审稿时长
2.1 months
期刊介绍: Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).
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