Exploring pNIPAM lyogels: Experimental study on swelling equilibria in various organic solvents and mixtures, supported by COSMO-RS analysis

IF 2.8 3区 工程技术 Q3 CHEMISTRY, PHYSICAL
Kathrin Marina Eckert , Simon Müller , Gerrit A. Luinstra , Irina Smirnova
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Abstract

Stimuli-responsive lyogels are considered to be smart materials due to their capability of undergoing significant macroscopic changes in response to external triggers. Due to their versatile and unique properties, smart lyogels exhibit great potential in various applications such as drug delivery or actuation processes. While Poly-N-isopropylacrylamide (pNIPAM) is widely known as a thermo-responsive material, it also shows significant solvent-responsive swelling behavior. For the systems tested, polar solvents induce strong swelling due to hydrogen bonding with the amide group, nonpolar solvents lead to significant shrinkage of the lyogels. The aim of this study is to investigate and to model this behavior for future application in chemical or biochemical reactors. As a current area of research, incorporating smart lyogel technology into (bio-)chemical reactors facilitates the development of smart reactor systems. Applying thermodynamic modelling with the gE model COSMO-RS on the monomer or oligomers of pNIPAM, the correlation between solvent-polymer interactions and the degree of swelling can be observed. pNIPAM derivatives exhibit low infinite dilution activity coefficients (IDACs) in polar solvents with large degrees of swelling, while displaying an increase of IDACs in nonpolar solvents. Hydrogen bonds dominate the swelling behavior of lyogels not only in pure solvents but also in mixtures of solvents with varying polarity. Even in mixtures containing high amounts of nonpolar solvents, large degrees of swelling were observed due to the uptake of the polar solvent in the lyogel matrix. This effect can be observed in binary solvent mixtures but also in representative mixtures along an esterification reaction with varying carboxylic chain length of alcohol and carboxylic acids.

Abstract Image

探索 pNIPAM 溶胶:以 COSMO-RS 分析为支持,对各种有机溶剂和混合物中的溶胀平衡进行实验研究
刺激响应型抒凝胶被认为是一种智能材料,因为它们能够在外部触发因素的作用下发生显著的宏观变化。由于具有多种独特的性能,智能抒凝胶在药物输送或致动过程等各种应用中展现出巨大的潜力。众所周知,聚 N-异丙基丙烯酰胺(pNIPAM)是一种热响应材料,但它也表现出明显的溶剂响应膨胀行为。在测试的体系中,极性溶剂会因酰胺基团的氢键作用而引起强烈的溶胀,而非极性溶剂则会导致冻凝胶显著收缩。本研究的目的是研究这种行为并建立模型,以便将来应用于化学或生化反应器。作为当前的一个研究领域,将智能冻凝胶技术融入(生物)化学反应器有助于开发智能反应器系统。利用 g 模型 COSMO-RS 对 pNIPAM 单体或低聚物进行热力学建模,可以观察到溶剂与聚合物之间的相互作用与溶胀程度之间的相关性。氢键不仅在纯溶剂中,而且在不同极性溶剂的混合物中都主导着冻凝胶的溶胀行为。即使在含有大量非极性溶剂的混合物中,也能观察到由于极性溶剂在冻凝胶基质中的吸收而产生的较大程度的溶胀。这种效应不仅可以在二元溶剂混合物中观察到,还可以在具有代表性的酯化反应混合物中观察到,醇和羧酸的羧基链长度各不相同。
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来源期刊
Fluid Phase Equilibria
Fluid Phase Equilibria 工程技术-工程:化工
CiteScore
5.30
自引率
15.40%
发文量
223
审稿时长
53 days
期刊介绍: Fluid Phase Equilibria publishes high-quality papers dealing with experimental, theoretical, and applied research related to equilibrium and transport properties of fluids, solids, and interfaces. Subjects of interest include physical/phase and chemical equilibria; equilibrium and nonequilibrium thermophysical properties; fundamental thermodynamic relations; and stability. The systems central to the journal include pure substances and mixtures of organic and inorganic materials, including polymers, biochemicals, and surfactants with sufficient characterization of composition and purity for the results to be reproduced. Alloys are of interest only when thermodynamic studies are included, purely material studies will not be considered. In all cases, authors are expected to provide physical or chemical interpretations of the results. Experimental research can include measurements under all conditions of temperature, pressure, and composition, including critical and supercritical. Measurements are to be associated with systems and conditions of fundamental or applied interest, and may not be only a collection of routine data, such as physical property or solubility measurements at limited pressures and temperatures close to ambient, or surfactant studies focussed strictly on micellisation or micelle structure. Papers reporting common data must be accompanied by new physical insights and/or contemporary or new theory or techniques.
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