Evidence map›Paper›PMID 37569137›Full record

ReviewFoods (Basel, Switzerland)2023

Advances in Microfluidics Techniques for Rapid Detection of Pesticide Residues in Food.

Zhuoao Jiang, Yu Zhuang, Shentian Guo, A S M Muhtasim Fuad Sohan, Binfeng Yin

Open access · goldAbstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Zhuoao JiangSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Yu ZhuangSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Shentian GuoSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
A S M Muhtasim Fuad SohanFaculty of Engineering, Department of Mechanical Engineering, The University of Adelaide, Adelaide, SA 5000, Australia.ORCID 0000-0002-0490-1119
Binfeng YinSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0002-0484-4951
Yangzhou University · CNThe University of Adelaide · AU

Funding

Jiangsu Agricultural Science and Technology Innovation Fund CX(21)3162Market Supervision Administration Science and Technology Fund of Jiangsu Province KJ2023076National Natural Science Foundation of China 52075138Natural Science Foundation of the Jiangsu Higher Education Institutions of China 22KJB150050Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX22_3479Science and Technology Planning Project of Yangzhou City YZ2022180
6 · The paper itself

Abstract

Food safety is a significant issue that affects people worldwide and is tied to their lives and health. The issue of pesticide residues in food is just one of many issues related to food safety, which leave residues in crops and are transferred through the food chain to human consumption. Foods contaminated with pesticide residues pose a serious risk to human health, including carcinogenicity, neurotoxicity, and endocrine disruption. Although traditional methods, including gas chromatography, high-performance liquid chromatography, chromatography, and mass spectrometry, can be used to achieve a quantitative analysis of pesticide residues, the disadvantages of these techniques, such as being time-consuming and costly and requiring specialist staff, limit their application. Therefore, there is a need to develop rapid, effective, and sensitive equipment for the quantitative analysis of pesticide residues in food. Microfluidics is rapidly emerging in a number of fields due to its outstanding strengths. This paper summarizes the application of microfluidic techniques to pyrethroid, carbamate, organochlorine, and organophosphate pesticides, as well as to commercial products. Meanwhile, the study also outlines the development of microfluidics in combination with 3D printing technology and nanomaterials for detecting pesticide residues in food.

Indexed as

food samplesmicrofluidicpesticide residuesrapid detection

Identifiers

PMID37569137
PMCPMC10417549
OpenAlexW4385342031

What OpenQuestion 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 OpenQuestion graph.