Evidence map›Paper›PMID 41590692›Full record

ArticleMetabolites2026

Chemical Attributes of UK-Grown Tea and Identifying Catechin and Metabolite Dynamics in Green and Black Tea Using Metabolomics and Machine Learning.

Amanda J Lloyd, Jasen Finch, Alina Warren-Walker, Alison Watson, Laura Lyons, M J Pilar Martinez Martin, Thomas Wilson, Manfred Beckmann

Abstract read
In one paragraph

Article in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Amanda J LloydDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.ORCID 0000-0002-0775-3537
Jasen FinchDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.
Alina Warren-WalkerDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.ORCID 0009-0007-7151-9503
Alison WatsonDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.
Laura LyonsDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.ORCID 0000-0002-0513-9787
M J Pilar Martinez MartinDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.ORCID 0000-0002-5859-6113
Thomas WilsonDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.ORCID 0000-0003-3112-4682
Manfred BeckmannDepartment of Life Sciences, Aberystwyth University, Aberystwyth SY23 3FL, UK.

Funding

Innovate UK 10068218Welsh Government Covid Recovery Challenge Fund (part of the Welsh Government's Food and Drink Division funding) N/A
6 · The paper itself

Abstract

The Dartmoor Estate Tea plantation in Devon, UK, benefits from a unique microclimate and diverse soil conditions, which, together with its different processing methods, contribute to the distinctive flavours and chemical profiles of its teas.

objectivesThe chemical diversity of Dartmoor tea was assessed via samples collected during processing of green and black tea.

methodsLeaf samples were collected during the processing of green and black tea and analysed using Flow Infusion Electrospray Ionisation Mass Spectrometry (FIE-MS).

resultsFor green tea processing, random forest regression identified features associated with the processing steps, resulting in a total of 272

conclusionsThis research highlights the complex role that processing plays in shaping tea quality. It provides valuable insights into the metabolic pathways that influence tea production and emphasises how these factors determine the final chemical profile and sensory characteristics of tea.

Indexed as

Camellia sinensisflow infusion electrospray ionisation mass spectrometry (FIE-MS)

Identifiers

PMID41590692
PMCPMC12843885

What OpenQuestion holds

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Registered trials

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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.