Evidence map›Paper›PMID 39796295›Full record

ArticleFoods (Basel, Switzerland)2024

Computer Vision-Based Fire-Ice Ion Algorithm for Rapid and Nondestructive Authentication of Ziziphi Spinosae Semen and Its Counterfeits.

Peng Chen, Xutong Shao, Guangyu Wen, Yaowu Song, Rao Fu, Xiaoyan Xiao, Tulin Lu, Peina Zhou, Qiaosheng Guo, Hongzhuan Shi and 1 more

Abstract read
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In one paragraph

Article in Foods (Basel, Switzerland), 2024. 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

11 authors.

Peng ChenInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.
Xutong ShaoInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.
Guangyu WenInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.
Yaowu SongInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.
Rao FuCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Xiaoyan XiaoSuzhou Liliangji Health Industry Co., Ltd., Suzhou 215000, China.
Tulin LuCollege of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China.
Peina ZhouInstitute of Plant Resources and Chemistry, Nanjing Research Institute for Comprehensive Utilization of Wild Plants, Nanjing 210042, China.ORCID 0000-0002-5475-3863
Qiaosheng GuoInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.
Hongzhuan ShiInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.
Chenghao FeiInstitute of Chinese Medicinal Materials, Nanjing Agricultural University, Nanjing 210095, China.ORCID 0000-0002-9575-0204

Funding

Chenghao Fei 82404863Peina Zhou 82404814Tulin Lu 2023YFC3504200
6 · The paper itself

Abstract

The authentication of Ziziphi Spinosae Semen (ZSS), Ziziphi Mauritianae Semen (ZMS), and Hovenia Acerba Semen (HAS) has become challenging. The chromatic and textural properties of ZSS, ZMS, and HAS are analyzed in this study. Color features were extracted via RGB, CIELAB, and HSI spaces, whereas texture information was analyzed via the gray-level co-occurrence matrix (GLCM) and Law's texture feature analysis. The results revealed significant differences in color and texture among the samples. The fire-ice ion dimensionality reduction algorithm effectively fuses these features, enhancing their differentiation ability. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) confirmed the algorithm's effectiveness, with variable importance in projection analysis (VIP analysis) (VIP > 1,

Indexed as

fire–ice ion dimensionality reduction algorithmmultivariate statisticsnondestructive and fast judgmenttraceabilityZiziphi Spinosae Semen

Identifiers

PMID39796295
PMCPMC11719666

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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.