ABSTRACT The recovery efficiency of waste valorization processes depends on an interplay of different conditions that are sometimes overlooked. Process optimization by the means of establishing mathematical relations between the process parameters and outputs is a strong tool to identify optimal operating conditions based on experimental data. In this study, the extraction of anthocyanins from chokeberry (Aronia melancocarpa) juice pomace using homogenization in acidified water was selected as a case study for process optimization using response surface methodology. The parameters studied were the citric acid content in the water, the temperature and the liquid-solid ratio. The optimal conditions to maximize both anthocyanin concentration and total anthocyanin content extracted were 1.5 wt% citric acid, 45 °C and 34 g solvent/g fresh pomace. Furthermore, the model developed predicted satisfactorily the overall anthocyanin content and anthocyanin concentration in the extract, as well as the final pH and total dissolved solids. The process optimization performed in this study sets the ground for further process design targeting the production of high-value products from byproducts or biowaste to be used in food ingredients or supplements. GRAPHIC ABSTRACT

中文翻译：

---

酸化水中均质化从苦莓汁渣中回收花青素的优化。

摘要 废物增值过程的回收效率取决于有时被忽视的不同条件的相互作用。通过建立工艺参数和输出之间的数学关系来优化工艺是根据实验数据确定最佳操作条件的有力工具。在本研究中，选择使用在酸化水中均质化从苦莓 (Aronia melancocarpa) 汁渣中提取花青素作为使用响应面法进行工艺优化的案例研究。研究的参数是水中的柠檬酸含量、温度和液固比。最大化提取花青素浓度和总花青素含量的最佳条件是 1.5 wt% 柠檬酸、45 °C 和 34 g 溶剂/g 新鲜果渣。此外，所开发的模型令人满意地预测了提取物中的总花青素含量和花青素浓度，以及最终的 pH 值和总溶解固体。本研究中进行的工艺优化为进一步的工艺设计奠定了基础，该工艺设计的目标是从副产品或生物废物中生产用于食品成分或补充剂的高价值产品。图形摘要