皮质醇分子印迹聚合物预聚合模板-单体-交联剂-溶剂相容性的理论研究

IF 3.2 3区 工程技术 Q2 CHEMISTRY, PHYSICAL
Victoria T. Adeleke, Oluwakemi Ebenezer, Madison Lasich and Samuel M. Mugo
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引用次数: 0

摘要

皮质醇(Cort)是一种压力荷尔蒙,其检测对于监测慢性和心理健康压力至关重要。因此,人们对开发皮质醇分子印迹聚合物(MIPs)作为传感器开发的分子受体越来越感兴趣。在文献中描述的皮质醇分子印迹聚合物中,功能单体的优化一直是通过试错实验进行的。通过计算方法,可以减少优化实验的次数,既省时又省钱,同时还能减少化学品的浪费。除密度泛函理论(DFT)计算外,本研究还采用了与实际实验方法类似的原子分子动力学模拟方法,以阐明模板-单体-交联剂-溶剂对皮质醇 MIP 受体的兼容性,从而有效识别和捕获生物液体中的皮质醇。研究的功能单体包括 4-乙烯基吡啶(4VP)、丙烯酸(AA)、丙烯酰胺(AM)、甲基丙烯酸缩水甘油酯(GMA)、甲基丙烯酸 2-羟乙基酯(HEMA)和丙烯酸甲酯(MAA),交联剂为乙二醇二甲基丙烯酸酯(EGDMA)。通过 DFT 得到的分子间氢键和模板-单体结合能表明,Cort-MAA 在气相和溶液中都是最稳定的复合物。考虑到计算得出的溶剂能,推荐使用乙腈作为成孔溶剂。通过分子动力学模拟,分析了各种参数,以解释在 MIP 开发过程中功能单体与可的松模板的相容性。从模板-单体的混合分析中发现,Cort-4VP 是混溶性最好的复合物。模板-单体-交联剂(EGDMA)的均方位移(MSD)和扩散系数分析表明,1:2(可的松/单体)的比例是复合物最稳定的比例。从径向分布函数中观察到的最高峰是 Cort-MAA 和 Cort-AA 在 1 :4 时,Cort-MAA 和 Cort-AA 的峰值最高,表明功能单体与 Cort 的相互作用更好。在研究溶剂对模板-单体-交联剂-溶剂的影响时,MSD 在 1 :4 时,三种复合物的溶解度参数值最低:4 时,三种复合物的溶解度参数值最低,这表明该比例基本适合可的松 MIP 的预聚合成分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Theoretical insights into the compatibility of template-monomer-crosslinker-solvent for cortisol molecularly imprinted polymer pre-polymerization†

Theoretical insights into the compatibility of template-monomer-crosslinker-solvent for cortisol molecularly imprinted polymer pre-polymerization†

Theoretical insights into the compatibility of template-monomer-crosslinker-solvent for cortisol molecularly imprinted polymer pre-polymerization†

Detection of cortisol (Cort), a stress hormone, is essential in monitoring chronic and mental health stress. As such, there is growing interest in the development of cortisol molecularly imprinted polymers (MIPs) as molecular receptors for sensor development. Of the cortisol MIPs described in the literature, the optimization of the functional monomers has been through trial-and-error experimentation. Through a computational approach, the number of optimization experiments can be reduced, which is time efficient and cost effective, while reducing chemical wastage. In addition to density functional theory (DFT) calculations, this study used an atomistic molecular dynamics simulation approach that resembles that of the real-life experimental methods to elucidate the compatibility of template-monomer-crosslinkers-solvent for cortisol MIP receptors that can efficiently recognize and capture cortisol from biological fluids. The functional monomer investigated were 4-vinylpyridine (4VP), acrylic acid (AA), acrylamide (AM), glycidyl methacrylate (GMA), 2-hydroxyethyl methacrylate (HEMA) and methylacrylic acid (MAA) with ethylene glycol dimethacrylate (EGDMA) as the crosslinker. The intermolecular hydrogen bonds and the template-monomer binding energies obtained through DFT suggested Cort-MAA as the most stable complex both in the gas phase and solution. Considering the calculated solvent energies, acetonitrile was recommended as a porogenic solvent. Through molecular dynamics simulation, various parameters were analyzed to explain the compatibility of the functional monomer with the cortisol template in the MIP development. From blend analysis of template-monomer, Cort-4VP was found to be the most miscible complex. For template-monomer-crosslinker (EGDMA), the mean square displacement (MSD) and diffusion coefficient analyses indicated 1 : 2 (cortisol/monomer) as the ratio in which the complexes are most stable. The highest peaks observed from the Radial distribution function were for Cort-MAA and Cort-AA at 1 : 4 indicating better interactions of the functional monomers with the Cort. Investigating the effect of solvents for template-monomer-crosslinker-solvent, the lowest MSD was at 1 : 4 with three complexes having the lowest values for solubility parameters at 1 : 4 confirming this ratio to be generally suitable for the composition of cortisol MIPs pre-polymerization.

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来源期刊
Molecular Systems Design & Engineering
Molecular Systems Design & Engineering Engineering-Biomedical Engineering
CiteScore
6.40
自引率
2.80%
发文量
144
期刊介绍: Molecular Systems Design & Engineering provides a hub for cutting-edge research into how understanding of molecular properties, behaviour and interactions can be used to design and assemble better materials, systems, and processes to achieve specific functions. These may have applications of technological significance and help address global challenges.
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