探测有序分子水凝胶的组装/分解

IF 3.3 3区 化学 Q2 CHEMISTRY, PHYSICAL Faraday Discussions Pub Date : 2024-05-23 DOI:10.1039/d4fd00081a
Susana Ramalhete, Hayley Green, Jesús Angulo, Dinu Iuga, László Fábián, Gareth O. Lloyd, Yaroslav Z. Khimyak
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引用次数: 0

摘要

超分子水凝胶在生物医学领域有着广泛的应用,可作为细胞培养的支架、组织工程的基质和药物输送的载体。L-苯丙氨酸(Phe)是一种天然氨基酸,在生理和病理生理过程(苯丙酮尿症和与组织损伤有关的纤维组装)中发挥着重要作用。自从 Myerson 等人(2002 年)报道 Phe 在体外形成纤维状网络以来,Phe 在水中的自组装过程得到了深入研究。我们报告了通过在 Phe 的芳香环中引入一个卤素原子对凝胶化进行结构控制的情况,这种结构控制可促使包装图案发生变化,从而决定凝胶化的功能。通过制备多组分凝胶系统获得的额外控制水平为调整此类材料的功能特性提供了显著优势。在这些材料的固有结构和动态异质性之间获取凝胶体分布的分子级信息仍然是一项巨大的挑战。利用基于 Phe 和氨基-L-苯丙氨酸(NH2-Phe)的多组分凝胶,我们探索了凝胶纤维中有序/无序畴的模式,并将尝试得出凝胶纤维中以及纤维/溶液界面上相互作用的总体趋势。研究发现,Phe 和 NH2-Phe 可在水中自组装成结晶水凝胶。与 Phe 相比,NH2-Phe 在凝胶态和溶液态之间的交换动力学速度更快,这与分子间的相互作用较弱有关,突出表明了头部基团在决定分子间相互作用强度方面的作用。在 Phe/ NH2-Phe 混合体系中,当 NH2-Phe 浓度较低时,NH2-Phe 脂肪族对 Phe 分子间静电相互作用的干扰会促进网络的破坏。在 NH2-Phe 浓度较高的情况下,会形成多种凝胶体水凝胶,其晶体习性与纯凝胶纤维不同。事实证明,结合固态和溶液态核磁共振优势的核磁共振晶体学方法特别适用于深入了解这些凝胶中 "有序 "纤维、溶液相和纤维/溶液界面的结构和动态。这些发现得到了大量实验(衍射、流变学、显微镜、热分析)和计算(晶体结构预测、基于 DFT 的方法和 MD 模拟)方法的支持。
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Probing assembly/disassembly of ordered molecular hydrogels
Supramolecular hydrogels have a wide range of applications in the biomedical field, acting as scaffolds for cell culture, matrices for tissue engineering and vehicles for drug delivery. L-Phenylalanine (Phe) is a natural amino acid that plays a significant role in physiological and pathophysiological processes (phenylketonuria and assembly of fibrils linked to tissue damage). Since Myerson et al. (2002) reported that Phe forms a fibrous network in vitro, Phe’s self-assembly processes in water have been thoroughly investigated. We have reported structural control over gelation by introduction of a halogen atom in the aromatic ring of Phe, driving changes in the packing motifs, and therefore, dictating gelation functionality. The additional level of control gained by the preparation of multi-component gel systems offers significant advantages in tuning functional properties of such materials. Gaining molecular level information on the distribution of gelators between the inherent structural and dynamic heterogeneities of these materials remains a considerable challenge. Using multicomponent gels based on Phe and amino-L-phenylalanine (NH2-Phe) we explored the patterns of ordered/disordered domains in the gel fibres and will attempt to come up with general trends of interactions in the gel fibres and at the fibre/solution interfaces. Phe and NH2-Phe were found to self-assemble in water into crystalline hydrogels. The determined faster dynamics of exchange between gel and solution states of NH2-Phe in comparison with Phe was correlated with weaker intermolecular interactions, highlighting the role of head groups in dictating the strength of intermolecular interactions. In the mixed Phe/ NH2-Phe systems, at low concentration of NH2-Phe, disruption of the network was promoted by interference of the aliphatics of NH2-Phe with electrostatic interactions between Phe molecules. At high concentrations of NH2-Phe, multiple gelator hydrogels were formed with crystal habits different from those of the pure gel fibres. NMR crystallography approaches combining the strengths of solid- and solution state NMR proved particularly suitable to obtain structural and dynamic insights into “ordered” fibres, solution phase and fibre/solution interfaces in these gels. These findings are supported by the plethora of experimental (diffraction, rheology, microscopy, thermal analysis) and computational (crystal structure prediction, DFT based approaches and MD simulations) methods.
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Faraday Discussions
Faraday Discussions 化学-物理化学
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期刊介绍: Discussion summary and research papers from discussion meetings that focus on rapidly developing areas of physical chemistry and its interfaces
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Ionic fluids out of equilibrium: electrodeposition, dissolution, electron transfer, driving forces: general discussion. Ionic fluids at equilibrium: thermodynamics, nanostructure, phase behaviour, activity: general discussion. New directions in experiment and theory, interfaces, and interactions: general discussion. Multi-reference coupled cluster theory using the normal ordered exponential ansatz. Analysis of uncertainty of neural fingerprint-based models.
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