Department of Food Science and Technology, Isfahan University of Technology, Isfahan, 84156 Iran.
J Food Sci Technol. 2013 Apr;50(2):374-80. doi: 10.1007/s13197-011-0355-7. Epub 2011 May 11.
This study aims to investigate the optimization of gelatin extraction from chicken deboner residue. An optimization procedure using a central composite design with three factors (HCl concentration, extraction temperature, and extraction time) was used in order to investigate the effects of these parameters on extraction yield, g-f, viscosity, and lightness. It was found that the optimum conditions for producing gelatin using response surface methodology (RSM) included an acid concentration of 6.73% and an extraction temperature of 86.8 °C for 1.95 h. The predicted responses for these extraction conditions included a yield of 10.2%, a g-f of 526 g, a viscosity of 5.85 cP, and a lightness of 70.0. Verification experiments were conducted under optimal conditions to compare predicted and actual values of the dependent variables. Both actual and predicted values were found to nearly coincide, confirming that the estimation models were capable of reasonably and accurately predicting the dependent variables.
本研究旨在探讨从鸡骨渣中优化提取明胶。采用三因素（盐酸浓度、提取温度和提取时间）中心组合设计进行优化程序，以研究这些参数对提取产率、g-f 值、黏度和亮度的影响。通过响应面法（RSM）发现，生产明胶的最佳条件包括酸浓度为 6.73%，提取温度为 86.8°C，时间为 1.95 小时。这些提取条件的预测响应包括产率为 10.2%，g-f 值为 526g，黏度为 5.85cP，亮度为 70.0。在最佳条件下进行验证实验，比较了因变量的预测值和实际值。实际值和预测值都非常接近，这表明估计模型能够合理且准确地预测因变量。
