手性和浓度控制多儿茶酚胺的自组装:多巴胺、左旋多巴和去甲肾上腺素的比较研究。

IF 2.8 3区 化学 Q3 CHEMISTRY, PHYSICAL
Soft Matter Pub Date : 2025-09-23 DOI:10.1039/d5sm00718f
Alexander J Steeves, Fabio Variola
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引用次数: 0

摘要

聚儿茶酚胺(pCAs),包括聚多巴胺(pDA)、聚左旋多巴(pLD)和聚去甲肾上腺素(pNE),由于其粘附性和多用途的物理化学性质,在生物材料科学中以功能涂层和颗粒的形式具有巨大的潜力。然而,虽然pDA已被广泛研究,但pLD和pNE的潜力尚未得到充分探索。为了弥补这一空白,本研究对多巴胺(DA)、左旋多巴(LD)、l -去甲肾上腺素(L-NE)和外消旋去甲肾上腺素(rac-NE)进行了比较分析,重点研究了前体化学、浓度(0.5 vs 2.0 mg mL-1)和去甲肾上腺素手性对聚合动力学和颗粒形成的影响。通过采用双波长吸光度(450 nm, A450; 600 nm, A600)测量,我们发现了明显的浓度依赖效应,高浓度加速了单体到中间体的转变,并诱导了饱和动力学。动态光散射(DLS)显示了pLD的两性离子特性和pNE中的手性如何影响稳定性和尺寸分布。此外,我们引入了聚合物分散比(PDR),这是一种新的度量方法,可以映射时空聚集分布,识别不同的聚集和沉积模式。本研究的结果强调了前驱体浓度和手性在形成pCA涂层性能中的关键作用,即表面沉积聚合物的时间演变。最终,该框架为生物医学应用的pca的合成和选择提供了信息,包括为植入式装置、药物洗脱平台和生物粘合剂技术量身定制的具有功能(例如,细胞指导、抗菌)的涂层,同时也转化为可以从这些发现中受益的更广泛的研究领域,如能量存储和环境修复等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chirality and concentration govern polycatecholamine self-assembly: a comparative study of dopamine, levodopa, and norepinephrine.

Polycatecholamines (pCAs), including poly(dopamine) (pDA), poly(levodopa) (pLD) and poly(norepinephrine) (pNE), hold enormous potential in biomaterials science in the form of functional coatings and particles due to their adhesive and versatile physicochemical properties. However, while pDA has been extensively studied, the potential of pLD and pNE has yet to be fully explored. To bridge this gap, this study provides a comparative analysis of dopamine (DA), levodopa (LD), L-norepinephrine (L-NE), and racemic norepinephrine (rac-NE), focusing on how precursor chemistry, concentration (0.5 vs. 2.0 mg mL-1), and NE chirality influence polymerization kinetics and particle formation. By employing dual-wavelength absorbance (450 nm, A450; 600 nm, A600) measurements, we revealed distinct concentration-dependent effects, with higher concentrations accelerating monomer-to-intermediate transitions and inducing saturation kinetics. Dynamic light scattering (DLS) highlighted particle size evolution, showing how the zwitterionic character of pLD and chirality in pNE affect stability and size distribution. Additionally, we introduced the polymer dispersion ratio (PDR), a novel metric mapping spatial and temporal aggregate distribution, identifying distinct aggregation and sedimentation patterns. Results from this study underscore the critical role of precursor concentration and chirality in shaping the properties of pCA coatings, namely the temporal evolution of the surface-deposited polymer. Ultimately, this framework informs the synthesis and selection of pCAs for biomedical applications, including functional (e.g., cell-instructive, antibacterial) coatings with tailored topography for implantable devices, drug-eluting platforms, and bioadhesive technologies, while also translating to broader research areas which could benefit from these findings, such as energy storage and environmental remediation, among others.

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来源期刊
Soft Matter
Soft Matter 工程技术-材料科学:综合
CiteScore
6.00
自引率
5.90%
发文量
891
审稿时长
1.9 months
期刊介绍: Soft Matter is an international journal published by the Royal Society of Chemistry using Engineering-Materials Science: A Synthesis as its research focus. It publishes original research articles, review articles, and synthesis articles related to this field, reporting the latest discoveries in the relevant theoretical, practical, and applied disciplines in a timely manner, and aims to promote the rapid exchange of scientific information in this subject area. The journal is an open access journal. The journal is an open access journal and has not been placed on the alert list in the last three years.
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