Simultaneous analysis of the oxidation of solvent-extracted and cold-pressed green coffee oil during accelerated storage using 1H NMR and 13C NMR spectroscopy

化学 核磁共振波谱 光谱学 碳-13核磁共振 有机化学 材料科学 分析化学(期刊) 色谱法 量子力学 物理
作者
Wenjiang Dong,Qidi Hong,Jinhuan Cheng,Hongyan He,Yanan Li,Rongsuo Hu,Yuzhou Long
出处
期刊:Food Research International [Elsevier BV]
卷期号:165: 112470-112470 被引量:6
标识
DOI:10.1016/j.foodres.2023.112470
摘要

Green coffee oil (GCO) extracted from green coffee beans, is known for its antioxidant and anticancer properties, and has been increasingly utilised in cosmetic and other consumer products. However, lipid oxidation of GCO fatty acid components during storage may be harmful to human health, and there remains a need to understand the evolution of GCO chemical component oxidation. In this study, proton nuclear magnetic resonance (1H and 13C NMR) spectroscopy was used to investigate the oxidation status of solvent-extracted and cold-pressed GCO under accelerated storage conditions. Results show that the signal intensity of oxidation products gradually increased with increasing oxidation time, while unsaturated fatty acid signals gradually weakened. Five different types of GCO extracts were clustered according to their properties, except for minor overlapping in the two-dimensional plane of the principal component analysis. Partial least squares-least analysis results demonstrate that oxidation products (δ = 7.8-10.3 ppm), unsaturated fatty acids (δ = 5.28-5.42 ppm), and linoleic acid (δ = 2.70-2.85 ppm) in 1H NMR can be used as characteristic indicators of GCO oxidation levels. Furthermore, the kinetics curves of unsaturated fatty acids, linoleic, and linolenic acyl groups all fit an exponential equation with high coefficients of GCO for 36 days under accelerated storage conditions. Our results show that the current NMR system is a fast, easy-operated and convenient tool for the oxidation process monitoring and quality control of GCO.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
辰123完成签到,获得积分10
3秒前
slj发布了新的文献求助10
5秒前
悦耳的树叶完成签到 ,获得积分10
6秒前
顾矜应助小悦子采纳,获得10
7秒前
仁爱的帽子完成签到 ,获得积分10
9秒前
Maria完成签到 ,获得积分10
10秒前
CodeCraft应助天真笑旋采纳,获得10
11秒前
12秒前
15秒前
年轻的羽毛完成签到,获得积分10
16秒前
17秒前
19秒前
tt发布了新的文献求助10
19秒前
无花果应助香蕉新筠采纳,获得10
20秒前
七七发布了新的文献求助10
24秒前
axlyjia发布了新的文献求助10
24秒前
北海发布了新的文献求助20
26秒前
冰魂应助橙子abcy采纳,获得150
29秒前
lemshine完成签到,获得积分10
29秒前
31秒前
35秒前
36秒前
raolixiang发布了新的文献求助10
39秒前
香蕉新筠发布了新的文献求助10
39秒前
小蘑菇应助沉静的含海采纳,获得10
40秒前
41秒前
41秒前
害怕的不评完成签到,获得积分10
41秒前
oSee完成签到 ,获得积分10
42秒前
50秒前
51秒前
raolixiang完成签到,获得积分10
56秒前
科研通AI5应助芬芬采纳,获得10
1分钟前
田様应助支证业材料科学采纳,获得10
1分钟前
可耐的问儿关注了科研通微信公众号
1分钟前
1分钟前
1分钟前
镜哥发布了新的文献求助10
1分钟前
标致小翠完成签到,获得积分10
1分钟前
英姑应助北风采纳,获得10
1分钟前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Computational Atomic Physics for Kilonova Ejecta and Astrophysical Plasmas 500
Technologies supporting mass customization of apparel: A pilot project 450
Mixing the elements of mass customisation 360
Периодизация спортивной тренировки. Общая теория и её практическое применение 310
the MD Anderson Surgical Oncology Manual, Seventh Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3781947
求助须知:如何正确求助?哪些是违规求助? 3327486
关于积分的说明 10231635
捐赠科研通 3042414
什么是DOI,文献DOI怎么找? 1669975
邀请新用户注册赠送积分活动 799461
科研通“疑难数据库(出版商)”最低求助积分说明 758822