Xie Guangjie, Shen Juan, Luo Ji, Li Dandan, Tao Yang, Song Changnian, Han Yongbin
Whole Grain Food Engineering Research Center, College of Food Science and Technology, Nanjing Agricultural University, Nanjing, China.
Institute of Agricultural Products Processing, Jiangsu Academy of Agricultural Sciences, Nanjing, China.
Front Nutr. 2022 Nov 14;9:993475. doi: 10.3389/fnut.2022.993475. eCollection 2022.
In this study, an ultrasound-assisted aqueous two-phase (ATP) extraction method was used for the extraction and purification of phenolic compounds from grape pomace. The effect of acoustic energy densities (AED, 41.1, 63.5, 96.1, 111.2 W/L) and temperatures (20, 30, 40°C) on the yield of phenolics was investigated. An artificial neural network (ANN) was successfully used to correlate the extraction parameters with phenolic yield. Then, a diffusion model based on Fick's second law was used to model the mass transfer process during ultrasound-assisted ATP extraction and evaluate the effective diffusion coefficient of phenolics. The results revealed the increase in AED, and the temperature increased the effective diffusivity of phenolics. The HPLC analysis of anthocyanins and flavonols showed that ultrasound significantly increased the extraction yield of anthocyanins compared with the traditional method. High amounts of rutin and myricetin were recovered using the ATPS systems. Sugars were mainly distributed in the bottom phase, whereas phenolics were located in the top phase. Conclusively, ultrasound-assisted aqueous two-phase (ATP) extraction can be used as an effective method to achieve the simultaneous separation and preliminary purification of phenolics from grape pomace.
在本研究中，采用超声辅助双水相（ATP）萃取法从葡萄皮渣中提取和纯化酚类化合物。研究了声能密度（AED，41.1、63.5、96.1、111.2 W/L）和温度（20、30、40°C）对酚类产量的影响。成功地使用人工神经网络（ANN）将萃取参数与酚类产量相关联。然后，基于菲克第二定律的扩散模型用于模拟超声辅助ATP萃取过程中的传质过程，并评估酚类的有效扩散系数。结果表明，AED的增加以及温度的升高提高了酚类的有效扩散率。花青素和黄酮醇的HPLC分析表明，与传统方法相比，超声显著提高了花青素的萃取产量。使用ATPS系统回收了大量的芦丁和杨梅素。糖类主要分布在下层相中，而酚类位于上层相中。总之，超声辅助双水相（ATP）萃取可作为一种从葡萄皮渣中同时分离和初步纯化酚类的有效方法。
