材料科学
组织工程
琼脂糖
自愈水凝胶
软质材料
桥接(联网)
软物质
弹性模量
复合材料
模数
生物医学工程
软组织
纳米技术
计算机科学
化学工程
高分子化学
工程类
计算机网络
化学
胶体
色谱法
医学
病理
作者
Lihua Lou,Lia Paolino,Arvind Agarwal
标识
DOI:10.1021/acsami.3c04331
摘要
Ashby's map's role in rationally selecting materials for optimal performance is well-established in traditional engineering applications. However, there is a major gap in Ashby's maps in selecting materials for tissue engineering, which are very soft with an elastic modulus of less than 100 kPa. To fill the gap, we create an elastic modulus database to effectively connect soft engineering materials with biological tissues such as the cardiac, kidney, liver, intestine, cartilage, and brain. This soft engineering material mechanical property database is created for widely applied agarose hydrogels based on big-data screening and experiments conducted using ultra-low-concentration (0.01-0.5 wt %) hydrogels. Based on that, an experimental and analysis protocol is established for evaluating the elastic modulus of ultra-soft engineering materials. Overall, we built a mechanical bridge connecting soft matter and tissue engineering by fine-tuning the agarose hydrogel concentration. Meanwhile, a soft matter scale (degree of softness) is established to enable the manufacturing of implantable bio-scaffolds for tissue engineering.
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