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首页> 外文期刊>The Journal of Chemical Physics >Osmotic virial coefficients for model protein and colloidal solutions: Importance of ensemble constraints in the analysis of light scattering data
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Osmotic virial coefficients for model protein and colloidal solutions: Importance of ensemble constraints in the analysis of light scattering data

机译:模型蛋白质和胶体溶液的渗透病毒系数:集合约束在光散射数据分析中的重要性

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Protein-protein interactions in solution may be quantified by the osmotic second virial coefficient (OSVC), which can be measured by various experimental techniques including light scattering. Analysis of Rayleigh light scattering measurements from such experiments requires identification of a scattering volume and the thermodynamic constraints imposed on that volume, i.e., the statistical mechanical ensemble in which light scattering occurs. Depending on the set of constraints imposed on the scattering volume, one can obtain either an apparent OSVC, A _(2,app), or the true thermodynamic OSVC, B22o _sm, that is rigorously defined in solution theory [M. A. Blanco, E. Sahin, Y. Li, and C. J. Roberts, J. Chem. Phys. 134, 225103 (2011)10.1063/1. 3596726]. However, it is unclear to what extent A _(2,app) and B22o _sm differ, which may have implications on the physical interpretation of OSVC measurements from light scattering experiments. In this paper, we use the multicomponent hard-sphere model and a well-known equation of state to directly compare A _(2,app) and B22o _sm. Our results from the hard-sphere equation of state indicate that A _(2,app) underestimates B22o _sm, but in a systematic manner that may be explained using fundamental thermodynamic expressions for the two OSVCs. The difference between A _(2,app) and B22o _sm may be quantitatively significant, but may also be obscured in experimental application by statistical uncertainty or non-steric interactions. Consequently, the two OSVCs that arise in the analysis of light scattering measurements do formally differ, but in a manner that may not be detectable in actual application.
机译:溶液中蛋白质之间的相互作用可以通过渗透第二病毒系数(OSVC)进行量化,该系数可以通过包括光散射在内的各种实验技术进行测量。对来自此类实验的瑞利光散射测量结果的分析需要识别散射体积和对该体积施加的热力学约束,即发生光散射的统计机械系综。根据施加在散射体积上的一组约束条件,人们可以获得表观OSVC A_(2,app)或真正的热力学OSVC B22o_sm,这在溶液论中得到了严格定义[M. A. Blanco,E。Sahin,Y。Li和C. J. Roberts,J。Chem。物理134,225103(2011)10.1063 / 1。 3596726]。但是,尚不清楚A_(2,app)和B22o_sm在多大程度上有所不同,这可能会影响光散射实验对OSVC测量的物理解释。在本文中,我们使用多分量硬球模型和一个著名的状态方程直接比较A _(2,app)和B22o _sm。我们从硬球状态方程得出的结果表明,A _(2,app)低估了B22o _sm,但是以系统的方式可以用两个OSVC的基本热力学表达式来解释。 A _(2,app)与B22o _sm之间的差异可能在数量上显着,但在实验应用中也可能由于统计不确定性或非空间相互作用而被掩盖。因此,在光散射测量分析中出现的两个OSVC确实在形式上有所不同,但其方式在实际应用中可能无法检测到。

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