Characteristics of Arabica and Robusta Spent Coffee Grounds Oil Extract with Different Solvents

Author:

Kresna M S,Windy R,Suci A P,Bovi W H

Abstract

Abstract High coffee consumption contributes to waste, such as spent coffee grounds (SCG). SCG contains up to 20 % oil, with the main oil content being linoleic and palmitic fatty acids. So, SCG has the potential to be used in valuable products. This study aims to characterise Arabica and Robusta SCG oil using maceration methods with different solvents (hexane, ethanol, and petroleum benzene) to obtain maximum coffee oil as an alternative. Arabica and Robusta SCG characterisation comprises the composition content, oil yield, fatty acid profile, and viscosity. The results showed that Arabica SCG oil yield was higher than Robusta, with hexane becoming the most efficient solvent to extract the oil, with 28,87% and 25,57%, respectively. The lowest free fatty acid (FFA) found in Arabica SCG oil extract using hexane is 1,95%, which consists of palmitic acid (9.41%), linoleic acid (5.37%), and stearic acid (4.7%). The highest viscosity is Arabica SCG oil extract using hexane, which is caused by the large amount of long-chain fatty acids extracted by the solvent, such as palmitic acid and linoleic acid. The FFA content of Arabica SCG oil extract using hexane has the potential to be edible oil (cooking oil) and biodiesel.

Publisher

IOP Publishing

Reference44 articles.

1. Converting environmental risks to benefits by using spent coffee grounds (SCG) as a valuable resource;Stylianou;Environmental Science and Pollution Research,2018

2. Effect of processing on bioaccessibility and bioavailability - of bioactive compounds in coffee beans;Wu;Food Bioscience,2022

3. A 2014 Bioactive Micronutrients in Coffee: Recent Analytical Approaches for Characterization and Quantification;Nuhu

4. The sources and mechanisms of bioactive ingredients in coffee;Hu;Food Function,2019

5. Sequential co-production of biodiesel and bioethanol with spent coffee grounds;Kwon;Bioresource Technology,2013

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3