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.

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
hhho123完成签到,获得积分10
1秒前
WEIhl完成签到,获得积分10
1秒前
DaShuaiGe完成签到,获得积分10
1秒前
简简发布了新的文献求助10
1秒前
chen发布了新的文献求助10
3秒前
3秒前
4秒前
小马甲应助peppa采纳,获得10
5秒前
6秒前
6秒前
6秒前
FOX完成签到,获得积分10
7秒前
zkk完成签到,获得积分10
7秒前
zhangyue7777发布了新的文献求助30
7秒前
9秒前
Xylo完成签到,获得积分10
10秒前
Bruce发布了新的文献求助10
10秒前
gyf发布了新的文献求助10
10秒前
10秒前
10秒前
科研通AI6.2应助嘉鑫采纳,获得10
10秒前
传奇3应助李旭采纳,获得10
11秒前
ZY发布了新的文献求助10
11秒前
李li完成签到,获得积分10
12秒前
LaTeXer应助贤惠的谷兰采纳,获得50
13秒前
在水一方应助TT采纳,获得10
13秒前
13秒前
脑洞疼应助追寻的安白采纳,获得10
13秒前
13秒前
YuJiao发布了新的文献求助10
14秒前
南海子完成签到,获得积分10
14秒前
15秒前
wlq发布了新的文献求助10
15秒前
qqmmttllaa完成签到,获得积分10
16秒前
16秒前
gyf完成签到,获得积分20
16秒前
田様应助孤巷的猫采纳,获得10
17秒前
18秒前
jocelyn发布了新的文献求助10
18秒前
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
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 7352402
求助须知:如何正确求助?哪些是违规求助? 8963629
关于积分的说明 19042653
捐赠科研通 7001424
什么是DOI,文献DOI怎么找? 3221509
关于科研通互助平台的介绍 2385916
邀请新用户注册赠送积分活动 2201940