Evidence map›Paper›PMID 35735550›Full record

ReviewBiosensors2022

Recent Advances in the Recognition Elements of Sensors to Detect Pyrethroids in Food: A Review.

Le Zhang, Mingqi Zhao, Ming Xiao, Moo-Hyeog Im, A M Abd El-Aty, Hua Shao, Yongxin She

Abstract readReview
In one paragraph

Review in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

7 authors.

Le ZhangInstitute of Quality Standards & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.ORCID 0000-0003-1718-0573
Mingqi ZhaoInstitute of Quality Standards & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Ming XiaoAcademy of Agriculture and Forestry Sciences, Qinghai University, Xining 810000, China.
Moo-Hyeog ImDepartment of Food Engineering, Daegu University, Gyeongsan 38453, Korea.
A M Abd El-AtyDepartment of Pharmacology, Faculty of Veterinary Medicine, Cairo University, Giza 12211, Egypt.ORCID 0000-0001-6596-7907
Hua ShaoInstitute of Quality Standards & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Yongxin SheInstitute of Quality Standards & Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China.

Funding

Central Public-interest Scientific Institution Basal Research Fund No.Y2021XK21National Key Point Research and Invention Program No. 2021YFD1600105National Natural Science Foundation of China Nos. 31772071
6 · The paper itself

Abstract

The presence of pyrethroids in food and the environment due to their excessive use and extensive application in the agriculture industry represents a significant threat to public health. Therefore, the determination of the presence of pyrethroids in foods by simple, rapid, and sensitive methods is warranted. Herein, recognition methods for pyrethroids based on electrochemical and optical biosensors from the last five years are reviewed, including surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), chemiluminescence, biochemical, fluorescence, and colorimetric methods. In addition, recognition elements used for pyrethroid detection, including enzymes, antigens/antibodies, aptamers, and molecular-imprinted polymers, are classified and discussed based on the bioreceptor types. The current research status, the advantages and disadvantages of existing methods, and future development trends are discussed. The research progress of rapid pyrethroid detection in our laboratory is also presented.

Indexed as

Biosensing TechniquesPyrethrinsColorimetrySpectrum Analysis, RamanSurface Plasmon ResonancePyrethrinsagriculturepyrethroidsrecent advancesrecognition elementssensor

Identifiers

PMID35735550
PMCPMC9220870

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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.