4.8 Article

Towards a dry bio-refinery without solvents or added water using microwaves and ultrasound for total valorization of fruit and vegetable by-products

期刊

GREEN CHEMISTRY
卷 18, 期 10, 页码 3106-3115

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c5gc02542g

关键词

-

资金

  1. ANR program

向作者/读者索取更多资源

This study aims at total valorization of fruit and vegetable by-products, moving towards developing an original concept of a dry bio-refinery (DBR). Indeed, all valuable products were recovered from food by-products without addition of solvents or water and using green processes. Ginger was chosen as a reference matrix since its juice processing generates a large amount of press cake currently considered as waste. Therefore, in this study, after juice processing, ginger press cake (GP) was firstly treated by microwave hydrodiffusion and gravity processing (MHG) to recover essential oil (EO) and constituent water present in ginger by-products. Gingerols and 6-shogaol remaining in the ginger presscake residue after MHG (GPMHG) were then extracted by ultrasound assisted extraction (UAE) at different ultrasonic intensities (UI) using constituent water as solvent. The assessment of microwave (MW) power enabled us to determine that a power of 1.6 W g(-1) was optimal to recover constituent water and EO, preserving extract quality in a reduced time. The mass extraction yield was enhanced by UAE (16.7 W cm(-2); 0.303 W cm(-3)) with an increase of 126% compared to conventional maceration (CM). Total valorization of ginger by-products was achieved since juice, essential oil, extract rich in phenolics, and solid residue rich in fibers and phenolic acids were obtained from ginger rhizomes (GR) using dry bio-refinery without solvent and added water. Finally, the performances of dry bio-refinery and conventional bio-refinery (CBR) were compared in terms of processing time, energy consumption, quantity of waste and quantity of solvent.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据