纺织工程学报2024，Vol.2Issue(5)：40-50,11.
超声波辅助酶法提取猪皮胶原蛋白的工艺优化及胶原纤维的湿法纺丝制备
Process optimization of ultrasonic-assisted enzymatic extraction of pigskin collagen and preparation of collagen fiber by wet spinning
摘要
Abstract
Collagen fiber material is an important biomedical textile widely used in various types of surgical pro-cedures.In order to improve the extraction rate of pigskin-derived collagen,the enzyme concentration,ultra-sound intensity,and ultrasound time were set as the influencing factors,and the collagen extraction rate was set as the response value,and the ultrasound-assisted enzyme method was used to explore the optimal extraction conditions through one-way experiments and the Box-Behnken response surface method,and the wet spinning technique was used to prepare pigskin-derived collagen fibers.The results showed that the order of significance affecting the collagen extraction rate was:enzyme concentration＞ultrasound time＞ultrasound intensity,and the optimal extraction process had an enzyme concentration of 93 U/g,an ultrasound intensity of 162 W,and an ultrasound time of 58 min,and the collagen extraction rate of the prepared collagen was 56.21%,which was sim-ilar to that predicted by response surface regression equations,suggesting that the regression model could opti-mize the conditions of the extraction process better.Meanwhile,ultraviolet spectroscopy,infrared spectroscopy and X-ray diffraction analyses showed that the type of pigskin-derived collagen was type Ⅰ,with a complete tri-ple helix structure;fiber morphology analysis showed that pigskin-derived collagen had good fiber-forming properties;and mechanical property analysis showed that collagen fibers with a spinning solution of 4.0%con-centration had the best mechanical properties.关键词
猪皮胶原蛋白/超声波辅助酶法/响应面法/胶原纤维/湿法纺丝Key words
pigskin collagen/ultrasound-assisted enzymatic method/response surface methodology/collagen fi-ber/wet spinning分类
轻工纺织引用本文复制引用
徐敏杰,唐树淇,胡敏,蔡光明,张如全,岳程飞..超声波辅助酶法提取猪皮胶原蛋白的工艺优化及胶原纤维的湿法纺丝制备[J].纺织工程学报,2024,2(5):40-50,11.基金项目
武汉市科技局应用基础前沿项目(2022013988065196). （2022013988065196）
