Evidence map›Paper›PMID 40104621›Full record

ArticleFood chemistry: X2025

Quality analysis and characteristic difference identification of organic tea and conventional planting tea based on ICP, HPLC and machine algorithm.

De Zhou, Yunfei Hu, Xi He, Lijuan Du, Lian Bao, Ming Zhao, Jinliang Shao, Qingyan Tang

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

De ZhouCollege of Food Science and Technology, National-Local Joint Engineering Research Center on Germplasm Innovation & Utilization of Chinese Medicinal Materials in Southwest, The Key Laboratory of Medicinal Plant Biology of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Yunfei HuCollege of Food Science and Technology, National-Local Joint Engineering Research Center on Germplasm Innovation & Utilization of Chinese Medicinal Materials in Southwest, The Key Laboratory of Medicinal Plant Biology of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Xi HeCollege of Food Science and Technology, National-Local Joint Engineering Research Center on Germplasm Innovation & Utilization of Chinese Medicinal Materials in Southwest, The Key Laboratory of Medicinal Plant Biology of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Lijuan DuInstitute of Quality Standard and Testing Technology, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.
Lian BaoCollege of Food Science and Technology, National-Local Joint Engineering Research Center on Germplasm Innovation & Utilization of Chinese Medicinal Materials in Southwest, The Key Laboratory of Medicinal Plant Biology of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Ming ZhaoCollege of Food Science and Technology, National-Local Joint Engineering Research Center on Germplasm Innovation & Utilization of Chinese Medicinal Materials in Southwest, The Key Laboratory of Medicinal Plant Biology of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.
Jinliang ShaoInstitute of Quality Standard and Testing Technology, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.
Qingyan TangCollege of Food Science and Technology, National-Local Joint Engineering Research Center on Germplasm Innovation & Utilization of Chinese Medicinal Materials in Southwest, The Key Laboratory of Medicinal Plant Biology of Yunnan Province, Yunnan Agricultural University, Kunming 650201, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continuous expansion of the organic tea industry, distinguishing the authenticity of organic tea is crucial to maintain the market's stability. Thus, organic and conventional planting teas (green teas) of Dajianshan were selected as the objects in this study. The components (water extract, polyphenols, mineral element, etc.) were compared by high-performance liquid chromatography, inductively coupled plasma spectrometry, and mass spectrometry. The main difference substances were screened by multivariate statistical analysis methods (PCA, OPLS-DA, and LDA). Results showed significant differences in 37 of 51 components (

Indexed as

Characteristic componentLinear discriminant analysis (LDA)Organic teaOrthogonal partial least squares - discriminant analysis (OPLS-DA)Sensory evaluation

Identifiers

PMID40104621
PMCPMC11914277

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.