Evidence map›Paper›PMID 35681408›Full record

ArticleFoods (Basel, Switzerland)2022

Classification of Tea Quality Levels Using Near-Infrared Spectroscopy Based on CLPSO-SVM.

Yuhan Ding, Yuli Yan, Jun Li, Xu Chen, Hui Jiang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
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  4. Rapid fat quantification inFrontiers in nutrition · 2026
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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

5 authors.

Yuhan DingKey Laboratory of Modern Agricultural Equipment and Technology, Jiangsu University, Ministry of Education, Zhenjiang 212013, China.ORCID 0000-0002-2210-2636
Yuli YanSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.
Jun LiKey Laboratory of Modern Agricultural Equipment and Technology, Jiangsu University, Ministry of Education, Zhenjiang 212013, China.
Xu ChenSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0003-2779-9978
Hui JiangSchool of Electrical and Information Engineering, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0001-6754-1125

Funding

Jiangsu University 10JDG113Key Laboratory of Modern Agricultural Equipment and Technology (Jiangsu University), Min-istry of Education and High-tech Key Laboratory of Agricultural Equipment and Intelligence of Jiangsu Province NZ201602Ministry of Science & Technique of PRC 2017YFD0400800
6 · The paper itself

Abstract

In this paper, we propose a method for classifying tea quality levels based on near-infrared spectroscopy. Firstly, the absorbance spectra of Huangshan Maofeng tea samples were obtained in a wavenumber range of 10,000~4000 cm

Indexed as

classificationCLPSO-SVMHuangshan Maofeng teanear-infrared spectroscopytea quality level

Identifiers

PMID35681408
PMCPMC9180160

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.