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作 者:朱明 张德权[2] 李少博 陈丽[2] 侯成立[2] 程成鹏 于江颖 关文强[1] ZHU Ming;ZHANG Dequan;LI Shaobo;CHEN Li;HOU Chengli;CHENG Chengpeng;YU Jiangying;GUAN Wenqiang(Tianjin Key Laboratory of Food Biotechnology,School of Biotechnology and Food Science,Tianjin University of Commerce,Tianjin 300134;Key Laboratory of Agricultural Product Quality,Safety,Storage,Transportation and Control,Ministry of Agriculture and Rural Affairs,Institute of Agricultural Product Processing,Chinese Academy of Agricultural Sciences,Beijing 100193)
机构地区:[1]天津商业大学生物技术与食品科学学院,天津市食品生物技术重点实验室,天津300134 [2]中国农业科学院农产品加工研究所,农业农村部农产品质量安全收贮运管控重点实验室,北京100193
出 处:《肉类研究》2024年第6期42-50,共9页Meat Research
基 金:云南省重大科技专项计划项目(202102AE090039)。
摘 要:采用高压-超声-酶解法提取羊皮胶原蛋白,对比遗传算法-反向传播(genetic algorithm-back propagation,GA-BP)神经网络模型和响应面模型的优化效果,确定最佳工艺参数。结果表明:GA-BP神经网络在模型拟合和预测方面表现优于响应面模型;最佳提取参数为高压时间23 min、超声时间22 min、酶添加量3.2%、酶解时间222 min,羊皮胶原蛋白提取率达到(80.5±1.6)%,较传统的木瓜蛋白酶法提高40%;紫外-可见吸收光谱和傅里叶变换红外光谱结果显示,此条件下提取的羊皮胶原蛋白结构完整,高压-超声-酶解法对胶原蛋白的破坏较小。This study compared the effectiveness of genetic algorithm-back propagation neural network(GA-BPNN) and response surface methodology(RSM) in optimizing the high-pressure ultrasound-assisted enzymatic extraction of collagen from sheep skin to determine the optimal process parameters.The results showed that GA-BPNN had superior performance in model fitting and prediction compared to RSM.The optimal extraction parameters were as follows:high pressure holding time of 23 min,ultrasound time of 22 min,enzyme dosage of 3.2%,and hydrolysis time of 222 min.Under these conditions,the extraction rate of collagen from sheep skin was(80.5 ± 1.6)%,which is 40% higher than that of the traditional papain method.The results of ultraviolet-visible(UV-Vis) spectroscopy and Fourier transform infrared(FTIR) spectroscopy demonstrated that the structure of the extract collagen was complete.
关 键 词:羊皮 羊皮胶原蛋白 高压-超声-酶解法 遗传算法-反向传播神经网络 响应面法
分 类 号:TS251.92[轻工技术与工程—农产品加工及贮藏工程]
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