Chongqing Engineering Laboratory of Nano/Micro Biological Medicine Detection Technology, School of Architecture and Engineering, Chongqing University of Science and Technology, Chongqing 401331, China.
School of Pharmacy, Taizhou Polytechnic College, Taizhou 225300, China.
Int J Environ Res Public Health. 2022 Jan 29;19(3):1555. doi: 10.3390/ijerph19031555.
Using tobacco waste as raw material, the ultrasonic-assisted extraction of chlorogenic acid was optimized by response surface methodology (RSM). After repeated freezing and thawing of tobacco waste twice, the effect of pH value, ethanol volume fraction, temperature and extraction time on the extraction rate of chlorogenic acid was investigated by a single factor experiment. On the basis of this, the factors affecting the yield of chlorogenic acid were further optimized by using RSM. The optimum extraction conditions for chlorogenic acid were set at pH = 4.1, ethanol volume fraction was 49.57% and extraction time was 2.06 h. Under the above conditions, the extraction rate of chlorogenic acid could reach 0.502%, which was higher than traditional extraction and unpretreated ultrasonic extraction. All these results can be used as a reference for the extraction of effective ingredients in tobacco waste.
利用烟草废料作为原料,通过响应面法(RSM)对绿原酸的超声辅助提取进行了优化。经过两次反复冻融烟草废料后,通过单因素实验考察了 pH 值、乙醇体积分数、温度和提取时间对绿原酸提取率的影响。在此基础上,进一步利用 RSM 对影响绿原酸产率的因素进行了优化。绿原酸的最佳提取条件设定为 pH=4.1、乙醇体积分数为 49.57%,提取时间为 2.06 h。在上述条件下,绿原酸的提取率可达 0.502%,高于传统提取和未经预处理的超声提取。所有这些结果都可以为烟草废料中有效成分的提取提供参考。