Evidence map›Paper›PMID 42279723›Full record

ReviewFoods (Basel, Switzerland)2026

Geographical Origin Traceability of Tea (

Hanbin Chen, Hang Wei, Hongyan Zhou, Ziyang Wu, Jie Pang, Ling Fang, Mengzhu Shi, Jianwei Fu

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 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.

Hanbin ChenInstitute of Quality Standards and Testing Technology for Agro-Products, Fujian Key Laboratory of Agro-Products Quality and Safety, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Hang WeiInstitute of Quality Standards and Testing Technology for Agro-Products, Fujian Key Laboratory of Agro-Products Quality and Safety, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.ORCID 0009-0007-4990-777X
Hongyan ZhouCollege of Modern Agricultural Technology, Fujian Vocational College of Agriculture, Fuzhou 350002, China.
Ziyang WuInstitute of Quality Standards and Testing Technology for Agro-Products, Fujian Key Laboratory of Agro-Products Quality and Safety, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Jie PangEngineering Research Centre of Fujian-Taiwan Special Marine Food Processing and Nutrition (Ministry of Education), College of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.ORCID 0000-0002-7061-5233
Ling FangInstitute of Quality Standards and Testing Technology for Agro-Products, Fujian Key Laboratory of Agro-Products Quality and Safety, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Mengzhu ShiInstitute of Quality Standards and Testing Technology for Agro-Products, Fujian Key Laboratory of Agro-Products Quality and Safety, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Jianwei FuInstitute of Quality Standards and Testing Technology for Agro-Products, Fujian Key Laboratory of Agro-Products Quality and Safety, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.

Funding

Fujian Science and Technology Plan Project Public welfare research Institute Special 2024R1021001Fujian Science and Technology Plan Project Public welfare research Institute Special 2025R1020003
6 · The paper itself

Abstract

The geographical origin fraud of tea is a serious challenge faced by the global tea market. This review systematically sorts out the full chain technical system from analysis and detection to data analysis in the field of tea origin traceability, reviews the traceability mechanism and application boundaries of four core technologies including stable isotopes, mineral element fingerprints, spectroscopy and mass spectrometry metabolomics, and emerging sensors, reveals the differential masking effect of the processing techniques of the six major tea types on chemical fingerprints, and systematically analyzes the methodological evolution of chemometrics and machine learning in origin discrimination. This article provides a systematic reference for understanding the overall pattern of the tea origin traceability technology system and the selection of differentiated traceability strategies for different tea types.

Indexed as

chemometricsdata fusiongeographical origin traceabilitymachine learningtea

Identifiers

PMID42279723
PMCPMC13257116

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.