4.5 Article

Optimisation and characterisation of protein extraction from coffee silverskin assisted by ultrasound or microwave techniques

期刊

BIOMASS CONVERSION AND BIOREFINERY
卷 11, 期 5, 页码 1575-1585

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s13399-020-00712-2

关键词

Coffee silverskin; Ultrasound-assisted extraction; Microwave-assisted extraction; Protein recovery; Acid and alkali

资金

  1. University College Dublin (UCD)
  2. China Scholarship Council (CSC)
  3. Teagasc Food Research Centre

向作者/读者索取更多资源

The study showed that MAE was the most effective method for protein extraction from coffee silverskin, providing a high yield of protein recovery. By utilizing UAE and MAE, protein extraction yields were significantly increased, offering new possibilities for coffee silverskin utilization.
Coffee silverskin (CSS) is a coffee by-product obtained during the coffee roasting process and a potential source of proteins (14-19% protein content). In this study, conventional extraction (CE) and novel extraction methods were investigated for protein extraction from CSS. Optimum extraction pH and concentration for conventional acid and alkali extraction were studied. In addition, ultrasound-assisted extraction (UAE) and microwave-assisted extraction (MAE), which have been widely recognised as efficient and economic novel extraction techniques, were employed to enhance the protein extraction from CSS using alkaline and acid extraction. Among the extraction techniques studied, MAE was found to generate the highest yield of protein recovery, 43.53% of recovery with an average molecular weight of 6.64 kDa. Comparing with the conventional sequential extraction using NaOH followed by HCl at two different concentrations (0.2 M and 0.6 M), the recovery yields were significantly increased by 2.8-fold and 2.3-fold by applying UAE, and by 5.8-fold and 7-fold by applying MAE. The present work shows that UAE and MAE have potential to be rapid and effective tools for protein extraction from coffee silverskin. In this study, extracted proteins and raw material were characterised considering the molecular weight and the amino acid profile as well as its nutritional composition and its mineral contents.

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