Evidence map›Paper›PMID 38367162›Full record

ReviewAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2024

Pesticide residue detection technology for herbal medicine: current status, challenges, and prospects.

Bin Peng, Yueliang Xie, Qingfu Lai, Wen Liu, Xuelan Ye, Li Yin, Wanxin Zhang, Suqin Xiong, Heng Wang, Hui Chen

Abstract readReview
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In one paragraph

Review in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 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
4.5field-weighted citation impact, top 6% of its field
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, 13 citations in OpenAlex.

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

10 authors at 3 institutions in 1 country.

Bin Peng *Guangzhou Huashang Vocational College, Guangzhou, 510000, China.
Yueliang Xie *Guangdong Agriculture Industry Business Polytechnic, Guangzhou, 510000, China.
Qingfu Lai *Guangzhou Huashang Vocational College, Guangzhou, 510000, China.
Wen LiuGuangdong Agriculture Industry Business Polytechnic, Guangzhou, 510000, China.
Xuelan YeGuangzhou Huashang Vocational College, Guangzhou, 510000, China.
Li YinGuangzhou Huashang Vocational College, Guangzhou, 510000, China.
Wanxin ZhangGuangzhou Huashang Vocational College, Guangzhou, 510000, China.
Suqin XiongGuangzhou Huashang Vocational College, Guangzhou, 510000, China.
Heng WangGuangdong Haid Group Co., Ltd, Guangzhou, 510000, China. 1947337712@qq.com.
Hui ChenState Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Biology, Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China. hui-chen21@mails.tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-9326-6649
Guangzhou Vocational College of Science and Technology · CNHaier Group (China) · CNUniversity Town of Shenzhen · CN

Funding

National Natural Science Foundation of China 82202625the College Project in Guangzhou Huashang Vocational College: Establishment of a rapid technique for the determination of dimethomorph in Herbal medicine GZHSKY2023021Young Innovative Talents in General Colleges and Universities of Guangdong Province 2023KQNCX306
6 · The paper itself

Abstract

The domains of cancer therapy, disease prevention, and health care greatly benefit from the use of herbal medicine. Herbal medicine has become the mainstay of developing characteristic agriculture in the planting area increasing year by year. One of the most significant factors in affecting the quality of herbal medicines is the pesticide residue problem caused by pesticide abuse during the cultivation of herbal medicines. It is urgent to solve the problem of detecting pesticide residues in herbal medicines efficiently and rapidly. In this review, we provide a comprehensive description of the various methods used for pesticide residue testing, including optical detection, the enzyme inhibition rate method, molecular detection methods, enzyme immunoassays, lateral immunochromatographic, nanoparticle-based detection methods, colorimetric immunosensor, chemiluminescence immunosensor, smartphone-based immunosensor, etc. On this basis, we systematically analyze the mechanisms and some of the findings of the above detection strategies and discuss the challenges and prospects associated with the development of pesticide residue detection tools.

Indexed as

Biosensing TechniquesDrugs, Chinese HerbalPesticide ResiduesPlants, MedicinalHerbal MedicineImmunoassayTechnologyDrugs, Chinese HerbalPesticide ResiduesChallengesCurrent statusHerbal medicinePesticide residuesProspectsRapid detection method

Identifiers

PMID38367162
OpenAlexW4391897249

What OpenQuestion holds

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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 OpenQuestion graph.