Decoding the odor profile of pea protein isolate: A multidimensional exploration based on GC-O-MS, GC × GC-O-TOF-MS, and GC-IMS

气味 气相色谱-质谱法 化学 解码方法 色谱法 质谱法 计算机科学 有机化学 电信
作者
Xuejie Li,Taiju Di,Wentao Zhang,Xiangquan Zeng,Yu Xi,Jian Li
出处
期刊:Food bioscience [Elsevier]
卷期号:61: 104623-104623 被引量:2
标识
DOI:10.1016/j.fbio.2024.104623
摘要

In light of the diversity and complexity of pea flavor, the odor profile of pea protein isolate (PPI) has not been comprehensively characterized. This study aims to explore the odor profile of PPI by SPME and SAFE coupled with multidimensional flavor analytical approaches, including GC-O-MS, GC × GC-O-TOF-MS and GC-IMS analyses. A total of 148 volatile compounds were detected by all three analytical techniques, with over 80% being identified by GC × GC-O-TOF-MS. Furthermore, 42 odor-active compounds were identified by GC-O/GC × GC-O analyses, among which 2, 3-octanedion, butyl acetate and ethyl acetate showed odor activity in PPI for the first time. Subsequently, these 21 odorants with flavor dilution (FD) factors ranging from 9 to 243 were quantified by external standard curves and their odor activity values (OAVs) were calculated. Notably, (E, E)-2,4-decadienal exhibited the highest OAV, followed by hexanal and nonanal, which all contributing the typical fatty and grassy odors to PPI. Finally, the contribution of 20 key odor-active compounds with OAV >1 to the odor profile of PPI was further validated through a reconstitution experiment. These findings provide basis for the flavor analysis and sensory improvement of pea-derived products.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
lyang发布了新的文献求助10
刚刚
刚刚
墨然然完成签到 ,获得积分10
刚刚
开飞机的小羊完成签到,获得积分10
刚刚
Ava应助呀呼采纳,获得10
刚刚
张远幸发布了新的文献求助10
刚刚
我是老大应助听话的白易采纳,获得10
1秒前
Swin完成签到,获得积分10
1秒前
打打应助崔宏玺采纳,获得10
2秒前
2秒前
loong发布了新的文献求助10
3秒前
liuxl完成签到,获得积分10
4秒前
4秒前
爱吃鱼的猫猫完成签到,获得积分10
4秒前
5秒前
cherrain完成签到,获得积分10
5秒前
6秒前
6秒前
英俊的铭应助坚定的怀蕾采纳,获得10
7秒前
22222完成签到,获得积分10
7秒前
Stella应助Hayat采纳,获得20
8秒前
今后应助咿呀采纳,获得30
8秒前
8秒前
8秒前
天天快乐应助yuandong采纳,获得10
8秒前
无花果应助陈尹蓝采纳,获得10
8秒前
9秒前
科研乞丐应助Ruby0130采纳,获得20
9秒前
Yy发布了新的文献求助10
9秒前
淡淡的幻竹完成签到,获得积分10
10秒前
赫连人杰完成签到,获得积分10
11秒前
11秒前
张远幸完成签到,获得积分10
11秒前
11秒前
亚黑发布了新的文献求助10
11秒前
12秒前
今后应助zhanghaonan采纳,获得10
12秒前
12秒前
小巧风华发布了新的文献求助10
13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
HIGH DYNAMIC RANGE CMOS IMAGE SENSORS FOR LOW LIGHT APPLICATIONS 1500
Constitutional and Administrative Law 1000
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.). Frederic G. Reamer 800
Holistic Discourse Analysis 600
Vertébrés continentaux du Crétacé supérieur de Provence (Sud-Est de la France) 600
Vertebrate Palaeontology, 5th Edition 530
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5351999
求助须知:如何正确求助?哪些是违规求助? 4484908
关于积分的说明 13961093
捐赠科研通 4384639
什么是DOI,文献DOI怎么找? 2409094
邀请新用户注册赠送积分活动 1401552
关于科研通互助平台的介绍 1375095