Evidence map›Paper›PMID 36557232›Full record

ArticleMetabolites2022

Flavor Profiling Using Comprehensive Mass Spectrometry Analysis of Metabolites in Tomato Soups.

Simon Leygeber, Justus L Grossmann, Carmen Diez-Simon, Naama Karu, Anne-Charlotte Dubbelman, Amy C Harms, Johan A Westerhuis, Doris M Jacobs, Peter W Lindenburg, Margriet M W B Hendriks and 7 more

Abstract read
In one paragraph

Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Recent Advances in Omics Technology in Food Flavor.Foods (Basel, Switzerland) · 2026
    Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Simon LeygeberLeiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
Justus L GrossmannSwammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Carmen Diez-SimonLaboratory of Plant Physiology, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.
Naama KaruLeiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID 0000-0001-8005-0726
Anne-Charlotte DubbelmanLeiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-5295-7758
Amy C HarmsLeiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID 0000-0002-2931-4295
Johan A WesterhuisSwammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.ORCID 0000-0002-6747-9779
Doris M JacobsUnilever's Foods Innovation Centre, Bronland 14, 6708 WH Wageningen, The Netherlands.
Peter W LindenburgLeiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.
Margriet M W B HendriksDSM Center for Biodata & Translation, Alexander Fleminglaan 1, 2613 AX Delft, The Netherlands.ORCID 0000-0003-3387-9253
Brenda C H AmmerlaanDSM Center for Biodata & Translation, Alexander Fleminglaan 1, 2613 AX Delft, The Netherlands.
Marco A van den BergDSM Food & Beverages, Alexander Fleminglaan 1, 2613 AX Delft, The Netherlands.ORCID 0000-0003-2770-9944
Rudi van DoornDSM Food & Beverages, Alexander Fleminglaan 1, 2613 AX Delft, The Netherlands.
Roland MummWageningen Research (Bioscience), Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.ORCID 0000-0002-0603-1508
Robert D HallLaboratory of Plant Physiology, Wageningen University and Research, Droevendaalsesteeg 1, 6708 PB Wageningen, The Netherlands.ORCID 0000-0002-5786-768X
Age K SmildeSwammerdam Institute for Life Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Thomas HankemeierLeiden Academic Centre for Drug Research, Leiden University, Einsteinweg 55, 2333 CC Leiden, The Netherlands.ORCID 0000-0001-7871-2073

Funding

Dutch Research Council 731.015.207
6 · The paper itself

Abstract

Trained sensory panels are regularly used to rate food products but do not allow for data-driven approaches to steer food product development. This study evaluated the potential of a molecular-based strategy by analyzing 27 tomato soups that were enhanced with yeast-derived flavor products using a sensory panel as well as LC-MS and GC-MS profiling. These data sets were used to build prediction models for 26 different sensory attributes using partial least squares analysis. We found driving separation factors between the tomato soups and metabolites predicting different flavors. Many metabolites were putatively identified as dipeptides and sulfur-containing modified amino acids, which are scientifically described as related to umami or having "garlic-like" and "onion-like" attributes. Proposed identities of high-impact sensory markers (methionyl-proline and asparagine-leucine) were verified using MS/MS. The overall results highlighted the strength of combining sensory data and metabolomics platforms to find new information related to flavor perception in a complex food matrix.

Indexed as

chemometricsfoodGC-MSLC-MSmetabolomicssensory evaluationtomato soupyeast

Identifiers

PMID36557232
PMCPMC9788410

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.