Quantitative Proton NMR Spectroscopy for Basic Taste Recombinant Reconstitution Using the Taste Recombinant Database

品味 化学 高效液相色谱法 色谱法 苦味 鲜味 液相色谱-质谱法 定量分析(化学) 质谱法 风味 食品科学
作者
Richard Hammerl,Oliver Frank,Thomas Hofmann
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:69 (48): 14713-14721 被引量:8
标识
DOI:10.1021/acs.jafc.1c05284
摘要

The quantitative determination of putative taste active metabolites, the ranking of these compounds in their sensory impact based on dose-overthreshold (DoT) factors, followed by confirmation of their relevance by reconstitution and omission experiments enables the decoding of the non-volatile sensometabolome of certain foods. The identification and quantitation of target taste compounds by liquid chromatography-tandem mass spectrometry (LC-MS/MS), high-performance liquid chromatography-ultraviolet/visible (HPLC-UV/Vis) spectroscopy, or high-performance ion chromatography (HPIC) is often laborious and time-consuming. In this work, we present a novel quantitative 1H NMR approach for reconstituting basic taste recombinants of different foods, including apple juice, balsamic vinegar, golden chanterelles, process flavor, and shrimp. Compound identification using the taste recombinant database, followed by absolute quantitation via quantitative 1H NMR (qHNMR), enables a fast and direct reconstitution of basic taste recombinants. The taste profile analysis of basic taste recombinants was generated via qHNMR in less than 15 min and compared with literature data acquired by LC-MS/MS and/or HPLC-UV/Vis and revealed identical results for all taste qualities. A determination of limit of detection (LoD) values for S/N = 50 of various proton signals with different integrals and multiplicities demonstrated that taste recognition thresholds of all basic tastants are far above those of LoD concentrations under the chosen conditions. Therefore, our experimental setup is able to detect basic taste-active compounds well below their taste recognition thresholds.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
CodeCraft应助筏A采纳,获得10
1秒前
konka发布了新的文献求助10
1秒前
忍蛙发布了新的文献求助10
2秒前
充电宝应助K神采纳,获得10
3秒前
华仔应助许子健采纳,获得10
3秒前
5秒前
6秒前
123完成签到,获得积分10
6秒前
7秒前
8秒前
Singularity应助QXS采纳,获得10
8秒前
飞扬的刘海儿应助郭果儿采纳,获得10
8秒前
8秒前
缥缈的机器猫完成签到,获得积分10
8秒前
老程完成签到,获得积分10
10秒前
11秒前
chen发布了新的文献求助10
11秒前
11秒前
12秒前
zhiyuan发布了新的文献求助10
12秒前
烟花应助时尚凝海采纳,获得10
12秒前
12秒前
konka完成签到,获得积分10
12秒前
12秒前
Wingler完成签到,获得积分10
13秒前
我想玩粘土完成签到,获得积分10
13秒前
雅典的宠儿完成签到 ,获得积分10
13秒前
nefu biology发布了新的文献求助10
14秒前
15秒前
平淡思雁完成签到,获得积分10
15秒前
Snieno发布了新的文献求助10
16秒前
M3L2完成签到,获得积分10
16秒前
完美世界应助正太低音炮采纳,获得30
16秒前
华西招生版完成签到,获得积分10
17秒前
安可瓶子发布了新的文献求助10
17秒前
外向小刺猬完成签到,获得积分10
17秒前
hcl完成签到,获得积分20
17秒前
18秒前
Math4396发布了新的文献求助10
18秒前
CSUST科研一哥应助呃呃采纳,获得20
18秒前
高分求助中
The late Devonian Standard Conodont Zonation 2000
Nickel superalloy market size, share, growth, trends, and forecast 2023-2030 2000
The Lali Section: An Excellent Reference Section for Upper - Devonian in South China 1500
Smart but Scattered: The Revolutionary Executive Skills Approach to Helping Kids Reach Their Potential (第二版) 1000
Very-high-order BVD Schemes Using β-variable THINC Method 830
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 800
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3247916
求助须知:如何正确求助?哪些是违规求助? 2891121
关于积分的说明 8266358
捐赠科研通 2559345
什么是DOI,文献DOI怎么找? 1388162
科研通“疑难数据库(出版商)”最低求助积分说明 650698
邀请新用户注册赠送积分活动 627590