Untargeted UHPLC–Q-Exactive-MS-based metabolomics reveals associations between pre- and post-cooked metabolites and the taste quality of geographical indication rice and regular rice

直链淀粉 品味 咀嚼度 食品科学 代谢组学 淀粉 化学 糙米 代谢物 生物 生物技术 生物化学 色谱法
作者
Shijie Shi,Gaoyu Zhang,Cougui Cao,Yang Jiang
出处
期刊:Journal of Integrative Agriculture [Elsevier BV]
卷期号:22 (7): 2271-2281 被引量:2
标识
DOI:10.1016/j.jia.2023.06.003
摘要

Geographical indication (GI) rice refers to the rice of specific geographical origin, which tends to have a good taste quality and a high commodity price. Rice is favored for its soft texture and chewiness after cooking. However, GI rice is also plagued by rice fraud. Understanding the reasons for the excellent taste quality of GI rice and identifying its geographical origin can help maintain the stability of the rice market and promote the development of the rice industry. In this study, we determined the taste quality of rice. Untargeted metabolomics based on UHPLC-Q-Exactive-MS was used to identify metabolites in GI and regular rice before and after cooking. Our findings suggested that GI rice showed lower protein and amylose content, resulting in higher starch gelatinization properties and taste quality. This study identified 520 metabolites, among which 142 and 175 were significantly different between GI and regular rice, before and after cooking, respectively. The increased variety of metabolites after cooking was significantly negatively correlated with the taste quality of rice. GI rice was lower in amino acids and lipid metabolite content before and after cooking, which may be the reason for the excellent taste quality. Through linear discriminant analysis, we found that the differential metabolites of rice after cooking were more accurate in discriminating rice from different geographic origins, up to 100%. This work gained new insights into the metabolites of GI rice, which explains its excellent taste quality. The rice metabolites after cooking could be used for more accurate geographical identification of rice.
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
xuan发布了新的文献求助10
刚刚
刚刚
yutonghuan发布了新的文献求助10
1秒前
1秒前
wwewew发布了新的文献求助10
1秒前
2秒前
2秒前
123发布了新的文献求助10
2秒前
南松完成签到 ,获得积分10
2秒前
2秒前
葱油饼发布了新的文献求助10
3秒前
刘明完成签到,获得积分10
3秒前
酷波er应助浩浩采纳,获得10
3秒前
3秒前
3秒前
失眠的以蓝完成签到,获得积分10
4秒前
zyf完成签到,获得积分10
4秒前
4秒前
怕黑的翠绿完成签到,获得积分10
5秒前
ASXC发布了新的文献求助10
5秒前
gcl_wzf应助777采纳,获得30
5秒前
Nana完成签到,获得积分20
5秒前
supersunshine发布了新的文献求助10
5秒前
ivy发布了新的文献求助10
5秒前
guoguo发布了新的文献求助10
5秒前
5秒前
zqq发布了新的文献求助10
6秒前
科研通AI5应助韩惜灵采纳,获得10
6秒前
7秒前
鲁班7号完成签到,获得积分10
7秒前
今后应助西出钰门采纳,获得30
8秒前
魏笑白完成签到 ,获得积分10
8秒前
8秒前
开心发布了新的文献求助10
8秒前
热心山雁完成签到,获得积分20
9秒前
深空完成签到 ,获得积分10
9秒前
酷波er应助sora采纳,获得10
9秒前
万能图书馆应助芷莯采纳,获得10
10秒前
科研通AI5应助123采纳,获得10
10秒前
猪猪hero发布了新的文献求助10
11秒前
高分求助中
Les Mantodea de Guyane Insecta, Polyneoptera 2500
Technologies supporting mass customization of apparel: A pilot project 450
China—Art—Modernity: A Critical Introduction to Chinese Visual Expression from the Beginning of the Twentieth Century to the Present Day 430
A Field Guide to the Amphibians and Reptiles of Madagascar - Frank Glaw and Miguel Vences - 3rd Edition 400
China Gadabouts: New Frontiers of Humanitarian Nursing, 1941–51 400
The Healthy Socialist Life in Maoist China, 1949–1980 400
Walking a Tightrope: Memories of Wu Jieping, Personal Physician to China's Leaders 400
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 3790218
求助须知:如何正确求助?哪些是违规求助? 3334933
关于积分的说明 10272867
捐赠科研通 3051419
什么是DOI,文献DOI怎么找? 1674665
邀请新用户注册赠送积分活动 802741
科研通“疑难数据库(出版商)”最低求助积分说明 760846