Literature DB >> 31287302

Unified Flavor Quantitation: Toward High-Throughput Analysis of Key Food Odorants and Tastants by Means of Ultra-High-Performance Liquid Chromatography Tandem Mass Spectrometry.

Christoph Konrad Hofstetter1, Andreas Dunkel2,3, Thomas Hofmann1,2,3.   

Abstract

Because foods are perceived through combined inputs from taste and odor, which are determined by the concentration of the individual odor and taste molecules, the unified high-throughput quantitation of volatile odorants and non-volatile tastants with the very same instrumental setup has been a long-standing but yet unmet dream. The research presented here for the first time demonstrates, after only minimal sample workup, the highly accurate, rapid, and sensitive unified quantitation of odorants and tastants of key flavor molecules in apple juice on a single ultra-high-performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) platform over a large dynamic range of up to 6 orders of magnitude. While flavor-active aldehydes, ketones, and organic acids were analyzed after derivatization with 3-nitrophenylhydrazine, taste-active polyphenols and odor-active esters were directly analyzed by means of UHPLC-MS/MS with and without target analyte enrichment through stir-bar sorptive extraction. This "unified flavor quantitation" approach holds promise to accelerate the transition of today's labor and time-consuming, low-throughput analysis of odorants and tastants into a new era of high-performance quantitation of key flavor molecules.

Entities:  

Keywords:  LC−MS; apple juice; aroma; odorants; taste; unified flavor quantitation

Mesh:

Substances:

Year:  2019        PMID: 31287302     DOI: 10.1021/acs.jafc.9b03466

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  4 in total

Review 1.  Progress and Challenges in Quantifying Carbonyl-Metabolomic Phenomes with LC-MS/MS.

Authors:  Yuting Sun; Huiru Tang; Yulan Wang
Journal:  Molecules       Date:  2021-10-12       Impact factor: 4.411

2.  Sensomics-Assisted Aroma Decoding of Pea Protein Isolates (Pisum sativum L.).

Authors:  Florian Utz; Andrea Spaccasassi; Johanna Kreissl; Timo D Stark; Caren Tanger; Ulrich Kulozik; Thomas Hofmann; Corinna Dawid
Journal:  Foods       Date:  2022-01-30

3.  Comparative Metabolomics Reveals Key Determinants in the Flavor and Nutritional Value of Coconut by HS-SPME/GC-MS and UHPLC-MS/MS.

Authors:  Hao Guo; Jun Lai; Chun Li; Haihong Zhou; Chao Wang; Weizhen Ye; Yue Zhong; Xuecheng Zhao; Feng Zhang; Jun Yang; Shouchuang Wang
Journal:  Metabolites       Date:  2022-07-26

4.  The Sensory-Directed Elucidation of the Key Tastants and Odorants in Sourdough Bread Crumb.

Authors:  Laura Sophie Amann; Oliver Frank; Corinna Dawid; Thomas Frank Hofmann
Journal:  Foods       Date:  2022-08-04
  4 in total

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