NMR‐based metabolomics for elucidating the bioactive compounds from Mangifera caesia Jack and Ficus auriculata lour

芒果 代谢组学 传统医学 抗氧化剂 生物 榕树 植物 化学 生物化学 医学 生物信息学
作者
Siti Norhamimah Mohamed Yunus,Nur Ashikin Abdul‐Hamid,Ahmad Haniff Jaafar,Umar Lawal,Faridah Abas
出处
期刊:Journal of Food Biochemistry [Wiley]
卷期号:45 (2) 被引量:1
标识
DOI:10.1111/jfbc.13610
摘要

Mangifera caesia and Ficus auriculata are neglected fruits found in Malaysia and are locally known as “buah binjai” and “buah ara”, respectively. To profile the metabolites for both fruits, we conducted a robust 1H-nuclear magnetic resonance (NMR)-based metabolomics approach. Principal component analysis (PCA) and partial least square (PLS) analyses were applied to distinguish the metabolites variations of M. caesia and F. auriculata fruits extracted with different ethanol ratios (0, 70, and 100%). In total, 34 metabolites were identified in M. caesia and F. auriculata fruits. The 70% ethanol extracts of both fruits displayed the highest antioxidant and α-glucosidase inhibitory activities, as well as notable with the highest phenolic content, compared with the other samples. The present metabolomics study shows that the polarities of solvent extractions play a crucial role in the assessment and recovery of the metabolites for the high value of natural antioxidants and α-glucosidase inhibitors in M. caesia and F. auriculata fruits. Practical applications Antioxidant and antidiabetic agents from fruit sources are increasingly becoming popular due to its potential contributions to human health, by protecting against infections and degenerative diseases. However, some of these fruits were neglected where the scientific data on their potential benefits and biochemical contents are lacking. The information gained from this study provides valuable knowledge on M. caesia and F. auriculata fruits as natural antioxidant and α-glucosidase inhibitors agents that might be beneficial to consumers, further promote the usage of neglected fruits as functional food and natural supplements.

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
abz应助shoulingyuzi1采纳,获得10
1秒前
2秒前
2秒前
2秒前
上岸完成签到,获得积分10
2秒前
NexusExplorer应助健康的易梦采纳,获得10
4秒前
搜集达人应助等乙天采纳,获得10
4秒前
5秒前
bobochicken发布了新的文献求助10
5秒前
6秒前
宋瓜完成签到,获得积分10
6秒前
欧皇发布了新的文献求助10
6秒前
yy111完成签到,获得积分10
7秒前
林场发布了新的文献求助10
7秒前
顾矜应助风趣的觅山采纳,获得10
8秒前
8秒前
赘婿应助Abel采纳,获得10
9秒前
艺涵完成签到,获得积分10
9秒前
10秒前
wx完成签到,获得积分10
11秒前
吴桂学完成签到 ,获得积分10
12秒前
Orange应助洗刷刷采纳,获得10
15秒前
大个应助俊秀的曼容采纳,获得10
16秒前
共享精神应助wyyj采纳,获得10
17秒前
superchen发布了新的文献求助10
18秒前
帅123完成签到 ,获得积分10
20秒前
会飞的不二完成签到 ,获得积分10
22秒前
22秒前
思源应助小哲采纳,获得10
23秒前
23秒前
邸泽阳发布了新的文献求助10
23秒前
情怀应助qcck采纳,获得10
24秒前
wyb完成签到,获得积分10
25秒前
无极微光应助秋白采纳,获得20
26秒前
26秒前
28秒前
彭于晏应助优美的凌青采纳,获得10
28秒前
欲见完成签到 ,获得积分10
28秒前
29秒前
音悦台发布了新的文献求助10
29秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Matrix Methods in Data Mining and Pattern Recognition 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7156852
求助须知:如何正确求助?哪些是违规求助? 8801249
关于积分的说明 18599791
捐赠科研通 6758119
什么是DOI,文献DOI怎么找? 3161625
关于科研通互助平台的介绍 2296566
邀请新用户注册赠送积分活动 2136370