微流体驱动的高分子量聚合物配合物的混合,用于精确缩小纳米颗粒的尺寸

IF 4.2 2区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
Sara Gimondi MSc, Rui L. Reis PhD, Helena Ferreira PhD, Nuno M. Neves PhD
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引用次数: 7

摘要

壳聚糖(CHIT)和透明质酸(HA)是两种具有较高生物医学应用价值的多糖。在这项研究中,我们提出了一种微流控方法来合成CHIT-HA NPs,以克服通常用于多电解质复合物纳米沉淀的滴入方法的缺点。所提出的微流体方法能够产生≈100 nm大小的NPs单分散悬浮液,而滴法产生的NPs约为2倍大。最后,我们评估了获得的NPs在炎症情况下的潜力。NPs处理导致巨噬细胞(PGE2、IL-6、IL-8、MCAF和TNF-α)和脂多糖或条件培养基刺激的成纤维细胞(IL-1 α、PGE2、TNF-α)产生的主要炎症分子减少。该研究表明,我们的方法可以用于增强基于生物活性大分子的纳米载体的合成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microfluidic-driven mixing of high molecular weight polymeric complexes for precise nanoparticle downsizing

Chitosan (CHIT) and hyaluronic acid (HA) are two polysaccharides (PSs) with high value in several biomedical applications. In this study, we present a microfluidic method to synthetize CHIT-HA NPs to overcome the disadvantages of the dropwise approach generally used for nanoprecipitation of polyelectrolyte complexes. The proposed microfluidic approach enables to generate monodisperse suspensions of NPs with ≈100 nm of size compared to the dropwise method that generated ≈2 times bigger NPs. Finally, we evaluated the potential of obtained NPs in an inflammatory scenario. The treatment with NPs led to the reduction of the main inflammatory molecules produced by macrophages (PGE2, IL-6, IL-8, MCAF and TNF-α) and fibroblasts (IL-1 α, PGE2, TNF-α) stimulated with lipopolysaccharide or conditioned medium, respectively. This study demonstrates that our approach can be used to enhance the synthesis of nanocarriers based on bioactive macromolecules.

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来源期刊
CiteScore
11.10
自引率
0.00%
发文量
133
审稿时长
42 days
期刊介绍: The mission of Nanomedicine: Nanotechnology, Biology, and Medicine (Nanomedicine: NBM) is to promote the emerging interdisciplinary field of nanomedicine. Nanomedicine: NBM is an international, peer-reviewed journal presenting novel, significant, and interdisciplinary theoretical and experimental results related to nanoscience and nanotechnology in the life and health sciences. Content includes basic, translational, and clinical research addressing diagnosis, treatment, monitoring, prediction, and prevention of diseases.
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