Evidence map›Paper›PMID 42884833›Full record

ArticlePlants (Basel, Switzerland)2026

DNA Barcoding for Identification and Traceability in the Entire Industrial Chain of Lonicerae Japonicae Flos.

Ruoxing Liu, Zhijie Shi, Wenjie Xu, Yanfei Li, Jingyuan Song, Tianyi Xin

Abstract read
In one paragraph

Article in Plants (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

6 authors.

Ruoxing LiuKey Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Zhijie ShiKey Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Wenjie XuKey Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Yanfei LiKey Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Jingyuan SongKey Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.
Tianyi XinKey Lab of Chinese Medicine Resources Conservation, State Administration of Traditional Chinese Medicine of the People's Republic of China, Engineering Research Center of Chinese Medicine Resource, Ministry of Education, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100193, China.

Funding

Chinese Academy of Medical Sciences & Peking Union Medical College 2025-I2M-KJ-020
6 · The paper itself

Abstract

As a traditional medicinal plant in China, Lonicerae Japonicae Flos (LJF) is extensively used in traditional Chinese medicine and Medicine Food Homology products, supporting a well-established industrial chain with diverse applications. However, the entire industrial chain is persistently compromised by adulteration with adulterants such as Lonicerae Flos (LF). Because LJF and LF are highly similar in appearance, misidentification can occur in trading and processing, and the substantial price gap of ¥94.0/kg for LJF, and ¥31.5/kg for LF, further increases incentives for substitution. Here, analytical approaches including morphological observation, DNA barcoding, and mini-barcode were integrated to identify 94 samples in the entire industrial chain, which included seeds, leaves, flower buds, decoction pieces, and traditional Chinese patent medicines (TCPMs). A total of 19 adulterants were detected among 72 commercial samples, including eight in 10 seed samples, two in 14 flower bud samples, four in 25 decoction pieces samples, and five in 23 TCPM samples. Morphological observation allowed efficient preliminary screening of upstream samples but was unsuitable for deeply processed products. Universal DNA barcoding could be used to identify diverse species, but DNA degradation compromised sequencing success in heavily processed materials. By comparison, mini-barcode achieved high identification efficiency for the heavily processed samples. These findings provided technical support for a quality assurance framework for the LJF industry. The framework could provide practical guidance for market regulation authorities and industry stakeholders to strengthen supplier auditing, batch release testing, and traceability from cultivation to the market.

Indexed as

DNA barcodingentire industrial chainLonicerae Japonicae Flosmini-barcode

Identifiers

PMID42884833
PMCPMC13666573

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.