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Multi-objective optimization tool for ultrasound-assisted extraction including environmental impacts
Chemical Engineering Research and Design ( IF 3.7 ) Pub Date : 2020-10-08 , DOI: 10.1016/j.cherd.2020.10.001
Alice Bouchez , Peggy Vauchel , Leandro Galvan D’Alessandro , Krasimir Dimitrov

Enhancing the environmental performance of production processes is currently a major issue. To propose efficient processes both in terms of productivity and environmental impacts, it is necessary to develop multi-objective optimization tools. Such an approach was developed in this study for an ultrasound-assisted extraction process, aiming at valorizing antioxidant polyphenols from downgraded beetroot seeds (agri-food by-product). Environmental impacts of the process (assessed using LCA), as well as classical productivity indicators (extraction yield, antioxidant activity of the extract, energy consumption) were all predicted in function of the varied process parameters (extraction time, solvent composition, solvent/beetroot seeds ratio, ultrasound power density). The proposed multi-criteria optimization tool allowed to predict optimal operating conditions in function of specific constraints, such as maximization of extraction yield and/or minimization of extraction time, energy consumption and/or environmental impacts. Maximal polyphenols concentration (2.8 g.L-1 GAE) and antioxidant activity (16.6 mM TEAC) were obtained after 120 min with 65% ethanol in the solvent, ultrasound power density of 667 W.L-1, and ratio of 5 mL.g-1. Ultrasounds assistance allowed extraction yield enhancement (up to 60%) of and process duration decrease (8 times), without degrading environmental performance. The original proposed methodology could easily be adapted for multi-criteria optimization of other processes.



中文翻译:

用于超声辅助提取的多目标优化工具,包括环境影响

当前,提高生产过程的环境绩效是一个主要问题。为了在生产率和环境影响方面提出有效的过程,有必要开发多目标优化工具。在这项研究中开发了这种方法,用于超声辅助提取过程,旨在从降级的甜菜根种子(农业食品副产品)中获得抗氧化多酚。预测过程的环境影响(使用LCA评估)以及经典的生产率指标(提取率,提取物的抗氧化活性,能耗)均根据不同的过程参数(提取时间,溶剂组成,溶剂/甜菜根)来预测种子比例,超声功率密度)。所提出的多准则优化工具允许根据特定约束来预测最佳运行条件,例如最大化提取产量和/或最小化提取时间,能耗和/或环境影响。在溶剂中使用65%乙醇,超声功率密度为667 WL-1和比率为5 mL.g-1的情况下,在120分钟后可获得最大多酚浓度(2.8 gL-1 GAE)和抗氧化活性(16.6 mM TEAC)。超声辅助可提高萃取产率(最多60%),并减少工艺持续时间(8倍),而不会降低环境性能。最初提出的方法可以很容易地适用于其他过程的多标准优化。例如提取率的最大化和/或提取时间,能量消耗和/或环境影响的最小化。在溶剂中使用65%乙醇,超声功率密度为667 WL-1和比率为5 mL.g-1的情况下,在120分钟后可获得最大多酚浓度(2.8 gL-1 GAE)和抗氧化活性(16.6 mM TEAC)。超声辅助可提高萃取产率(最多60%),并减少工艺持续时间(8倍),而不会降低环境性能。最初提出的方法可以很容易地适用于其他过程的多标准优化。例如提取率的最大化和/或提取时间,能量消耗和/或环境影响的最小化。在溶剂中使用65%乙醇,超声功率密度为667 WL-1和比率为5 mL.g-1的情况下,在120分钟后可获得最大多酚浓度(2.8 gL-1 GAE)和抗氧化活性(16.6 mM TEAC)。超声辅助可提高萃取产率(最多60%),并减少工艺持续时间(8倍),而不会降低环境性能。最初提出的方法可以很容易地适用于其他过程的多标准优化。L-1,比例为5 mL.g-1。超声辅助可提高萃取产率(最多60%),并减少工艺持续时间(8倍),而不会降低环境性能。最初提出的方法可以很容易地适用于其他过程的多标准优化。L-1,比例为5 mL.g-1。超声辅助可提高萃取产率(最多60%),并减少工艺持续时间(8倍),而不会降低环境性能。最初提出的方法可以很容易地适用于其他过程的多标准优化。

更新日期:2020-11-02
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