Tailoring Silk Sericin Grafting: Comparing One-Step and Two-Step Approaches for PNIPAM/PAMPS Block Nanoparticles

IF 4.2 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Ionut-Cristian Radu, Derniza-Elena Cozorici, Erika Blanzeanu, Andreea Vadureanu, Cristina Stavarache, Eugenia Tanasa, Horia Iovu, Catalin Zaharia
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Abstract

Structurally defined, protein-grafted nanoparticles are widely used in various biomedical applications, particularly as intelligent nanocarriers for drug delivery. The integration of synthetic polymers with natural proteins such as silk sericin enhances the functionality and stability of these nanocarriers, making them suitable for targeted and controlled drug release. In this context, an optimized grafting procedure for silk sericin is presented, employing a protein macroinitiator and atom transfer radical polymerization (ATRP). This study aims to elucidate the significance of the grafting process in tailoring the structure of sericin through the chemistry of synthetic grafts. The grafting procedure uses block copolymers of N-isopropylacrylamide (NIPAM) and 2-acrylamido-2-methylpropanesulfonic acid (AMPS), such as Poly-(AMPS-block-NIPAM)/Poly-(NIPAM-block-AMPS). The procedure employs both one-step and two-step synthesis methods to produce a well-defined, biofunctionalized sericin. Subsequently, sericin-based nanoparticles are prepared, demonstrating the significance of the optimized procedure. The synthesized products undergo structural analysis using H-NMR, FTIR-ATR, XPS, DLS, and zeta potential measurements. In addition, their thermal behavior is assessed using differential scanning calorimetry. To further investigate the prepared nanoparticles, SEM and DLS analyses are conducted. Through synthesis optimization, position and length of each synthetic block is precisely determined, significantly influencing properties of the grafted products and characteristics of the resulting nanoparticles.

Abstract Image

定制丝胶接枝:比较 PNIPAM/PAMPS 嵌段纳米粒子的一步法和两步法
结构明确的蛋白质接枝纳米粒子被广泛应用于各种生物医学领域,尤其是作为智能纳米载体用于药物输送。合成聚合物与丝胶蛋白等天然蛋白质的结合增强了这些纳米载体的功能性和稳定性,使其适用于靶向和可控药物释放。在此背景下,本文介绍了丝胶蛋白的优化接枝程序,该程序采用了蛋白质大引发剂和原子转移自由基聚合(ATRP)技术。这项研究旨在通过合成接枝化学,阐明接枝过程在定制丝胶结构方面的重要意义。接枝过程使用的是 N-异丙基丙烯酰胺(NIPAM)和 2-丙烯酰胺基-2-甲基丙磺酸(AMPS)嵌段共聚物,如 Poly-(AMPS-block-NIPAM)/Poly-(NIPAM-block-AMPS)。该程序采用一步法和两步法合成方法制备出定义明确的生物功能化丝胶蛋白。随后,制备了基于丝胶蛋白的纳米颗粒,证明了优化程序的重要性。利用 H-NMR、FTIR-ATR、XPS、DLS 和 zeta 电位测量法对合成产品进行了结构分析。此外,还使用差示扫描量热法对其热行为进行了评估。为了进一步研究制备的纳米粒子,还进行了扫描电镜和 DLS 分析。通过合成优化,精确确定了每个合成嵌段的位置和长度,这对接枝产物的性质和所制备纳米粒子的特性产生了重大影响。
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来源期刊
Macromolecular Materials and Engineering
Macromolecular Materials and Engineering 工程技术-材料科学:综合
CiteScore
7.30
自引率
5.10%
发文量
328
审稿时长
1.6 months
期刊介绍: Macromolecular Materials and Engineering is the high-quality polymer science journal dedicated to the design, modification, characterization, processing and application of advanced polymeric materials, including membranes, sensors, sustainability, composites, fibers, foams, 3D printing, actuators as well as energy and electronic applications. Macromolecular Materials and Engineering is among the top journals publishing original research in polymer science. The journal presents strictly peer-reviewed Research Articles, Reviews, Perspectives and Comments. ISSN: 1438-7492 (print). 1439-2054 (online). Readership:Polymer scientists, chemists, physicists, materials scientists, engineers Abstracting and Indexing Information: CAS: Chemical Abstracts Service (ACS) CCR Database (Clarivate Analytics) Chemical Abstracts Service/SciFinder (ACS) Chemistry Server Reaction Center (Clarivate Analytics) ChemWeb (ChemIndustry.com) Chimica Database (Elsevier) COMPENDEX (Elsevier) Current Contents: Physical, Chemical & Earth Sciences (Clarivate Analytics) Directory of Open Access Journals (DOAJ) INSPEC (IET) Journal Citation Reports/Science Edition (Clarivate Analytics) Materials Science & Engineering Database (ProQuest) PASCAL Database (INIST/CNRS) Polymer Library (iSmithers RAPRA) Reaction Citation Index (Clarivate Analytics) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) SCOPUS (Elsevier) Technology Collection (ProQuest) Web of Science (Clarivate Analytics)
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