基于κ-卡拉胶互穿阴离子共聚物的抗菌高灵敏度应变传感器

IF 5.4 2区 医学 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Biomaterials Science & Engineering Pub Date : 2024-08-23 DOI:10.1021/acsbiomaterials.4c0087710.1021/acsbiomaterials.4c00877
Liqin Cao*, Xiaotong Li and Xin Hu, 
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引用次数: 0

摘要

多糖基水凝胶具有良好的机械性能和生物相容性,适合用于柔性生物电子学领域。然而,如何在不影响其物理化学特性(如柔韧性、韧性、自愈性和抗菌活性)的前提下制备高性能的水凝胶传感器仍然是一个挑战,亟待解决。在此,我们用 2-丙烯酰胺-2-甲基丙磺酸(AMPS)共聚物互穿κ-卡拉胶(CAR),形成了一种金属离子交联增强的双网络水凝胶,然后将凝胶浸入 Cu2+ 离子溶液中,得到了抗菌的 CAR/P(AM-co-AMPS)-Cu2+导电水凝胶。电解质为氯化锂。LiCl 电解质和磺化分子链单元的存在不仅使水凝胶具有良好的导电性(导电率高达 2.68 S/m),而且提高了水凝胶作为应力应变传感器的灵敏度,在 20%-100% 应变范围内,水凝胶灵敏度 GF 高达 3.76,响应时间长达 280 毫秒。CAR 双螺旋结构和溶胶凝胶特性以及聚合物之间多种非共价键的相互作用使水凝胶具有出色的自愈能力,自愈效率高达 68%。此外,Cu2+ 与大肠杆菌细胞的静电作用可抑制其生长,表现出良好的抗菌性能,抑菌圈直径达 20.5 毫米。这项工作可为基于 CAR 的抗菌多功能仿生传感器提供一种有效的策略。
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An Antibacterial, Highly Sensitive Strain Sensor Based on an Anionic Copolymer Interpenetrating with κ-Carrageenan

Polysaccharide-based hydrogels are suitable for use in the field of flexible bioelectronics due to their benign mechanical properties and biocompatibility. However, the preparation of hydrogel sensors with high performance without affecting their physicochemical properties (e.g., flexibility, toughness, self-healing, and antibacterial activity) remains a challenge and needs to be solved. Herein, a metal ion cross-linking reinforced, double network hydrogel was formed from a 2-acrylamide-2-methylpropanesulfonic acid (AMPS) copolymer interpenetrating κ-carrageenan (CAR), followed by immersing the gel in a Cu2+ ion solution to obtain an antibacterial CAR/P(AM-co-AMPS)-Cu2+ conductive hydrogel. LiCl was added as the electrolyte. The presence of the LiCl electrolyte and sulfonated molecular chain units not only gives the hydrogel good electrical conductivity (conductivity up to 2.68 S/m) but also improves the sensitivity of the hydrogel as a stress–strain sensor, with a hydrogel sensitivity GF of up to 3.76 in the 20%–100% strain range and response time of up to 280 ms. The CAR double-helical structure and sol–gel properties and the interaction of multiple noncovalent bonds between polymers provide the hydrogel with excellent self-healing, with a self-healing efficiency of 68%. In addition, the electrostatic interaction of Cu2+ with Escherichia coli cells can inhibit their growth, exhibiting good antibacterial properties with an inhibition circle diameter of 20.5 mm. This work could provide an effective strategy for antibacterial multifunctional CAR-based bionic sensors.

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来源期刊
ACS Biomaterials Science & Engineering
ACS Biomaterials Science & Engineering Materials Science-Biomaterials
CiteScore
10.30
自引率
3.40%
发文量
413
期刊介绍: ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture
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