The Use of Low‐Quality Cotton‐Derived Cellulose Films as Templates for In Situ Conductive Polymer Synthesis as Promising Biomaterials in Biomedical Applications

IF 4.2 3区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Sahin Demirci, Mehtap Sahiner, Shaida S. Rumi, Selin S. Suner, Noureddine Abidi, Nurettin Sahiner
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引用次数: 0

Abstract

Here, the use of cellulose films (CFs) produced from low‐quality cotton is reported as a template for in situ synthesis of well‐known conductive polymers, e.g., polyaniline (PANI) and polypyrrole (PPY) via oxidative polymerization. Three successive monomer loading/polymerization cycles of aniline (ANI) and pyrrole (PY) within CFs as PANI@CF or PPY@CF are carried out to increase the amount of conductive polymer content. The contact angle (CA) for three times ANI and PPY loaded and polymerized CFs as 3PANI@CF and 3PPY@CF are determined as 26.3±2.8 and 42.3±0.6 degrees, respectively. As the electrical conductivity is increased with increased number of conductive polymer synthesis within CF, the higher conductivity values, 3×10−4±8.1×10−5 S.cm−1 and 2.1×10−3±5.8×10−4 S.cm−1, respectively are measured for 3PANI@CF and 3PPY@CF composites. It is found that PANI@CF composites are hemolytic, whereas PPY@CF composites are not at 1 mg mL−1 concentrations. All PPY@CF composites exhibit better biocompatibility than PANI@CF composites on L929 fibroblast cells with more than 70±8% viability at 1 mg of CF‐based conductive polymer composites. Moreover, MIC and MBC values of 3PPY@CF composites for Escherichia coli (ATCC8739) and Staphylococcus aureus (ATCC6538) are determined as 2.5 and 5.0 mg.mL−1, whereas these values are estimated as 5 and 10 mg.mL−1 for Candida albicans (ATCC10231).
使用低质量棉花纤维素薄膜作为原位导电聚合物合成的模板,将其作为生物医学应用中前景广阔的生物材料
本文报告了利用劣质棉花生产的纤维素薄膜 (CF) 作为模板,通过氧化聚合原位合成聚苯胺 (PANI) 和聚吡咯 (PPY) 等知名导电聚合物的过程。在作为 PANI@CF 或 PPY@CF 的 CF 中连续进行了三次苯胺(ANI)和吡咯(PY)的单体负载/聚合循环,以增加导电聚合物的含量。经测定,3PANI@CF 和 3PPY@CF 中三次添加 ANI 和 PPY 并聚合的 CF 的接触角(CA)分别为 26.3±2.8 度和 42.3±0.6 度。随着 CF 中导电聚合物合成数量的增加,导电率也随之增加,3PANI@CF 和 3PPY@CF 复合材料分别测得了 3×10-4±8.1×10-5 S.cm-1 和 2.1×10-3±5.8×10-4 S.cm-1 的较高导电率值。研究发现,PANI@CF 复合材料具有溶血作用,而 PPY@CF 复合材料在 1 毫克/毫升-1 的浓度下不具有溶血作用。与 PANI@CF 复合材料相比,所有 PPY@CF 复合材料在 L929 成纤维细胞上都表现出更好的生物相容性,在 1 毫克 CF 基导电聚合物复合材料浓度下,成纤维细胞存活率超过 70±8%。此外,3PPY@CF 复合材料对大肠杆菌(ATCC8739)和金黄色葡萄球菌(ATCC6538)的 MIC 和 MBC 值分别为 2.5 和 5.0 mg.mL-1,而对白色念珠菌(ATCC10231)的 MIC 和 MBC 值分别为 5 和 10 mg.mL-1。
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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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