Evidence map›Paper›PMID 35059790›Full record

ArticleAnalytical and bioanalytical chemistry2022

Smartphone-coupled three-layered paper-based microfluidic chips demonstrating stereoscopic capillary-driven fluid transport towards colorimetric detection of pesticides.

Hongjiao Wu, Jiaqi Chen, Yi Yang, Weitai Yu, Ying Chen, Pengcheng Lin, Ke Liang

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Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

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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 at 1 institution in 1 country.

Hongjiao WuGuangdong Provincial Key Laboratory On Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangdong, 510006, China.
Jiaqi ChenGuangdong Provincial Key Laboratory On Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangdong, 510006, China.
Yi YangGuangdong Provincial Key Laboratory On Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangdong, 510006, China.
Weitai YuGuangdong Provincial Key Laboratory On Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangdong, 510006, China.
Ying ChenGuangdong Provincial Key Laboratory On Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangdong, 510006, China.
Pengcheng LinGuangdong Provincial Key Laboratory On Functional Soft Condensed Matter, School of Materials and Energy, Guangdong University of Technology, Guangdong, 510006, China. pclin@gdut.edu.cn.
Ke LiangR&D Center, Guangdong Dayuan Oasis Food Safety Technology Co., LTD, Guangzhou, 510530, China. 568849792@qq.com.
Guangdong University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The existence of pesticide residues in the hydrosphere, biosphere, and anthroposphere can cause acute or chronic diseases and deteriorate the environment. Therefore, efficient detection of pesticide residues is of great significance to prevent food poisoning, control food pollution, and protect human lives by recognizing their distribution and concentration. Herein, a novel smartphone-coupled three-layered paper-based microfluidic chip is proposed as a facile platform to detect the pesticides. The stereoscopic capillary-driven fluid transport is enabled by the three-layered microfluidic chip configuration. The detection mechanism is based on the enzyme inhibition reaction and the chromatic reaction. The detection results are obtained by a smartphone and figured out by colorimetric quantitative analysis. Taking advantages of the above merits, we demonstrate the utilization of this smartphone-coupled three-layered paper-based microfluidic chip for the effective analysis of typical pesticides (profenofo and methomyl). The linear ranges of profenofo and methomyl are 0.27-2.1 μmol L

Indexed as

Lab-On-A-Chip DevicesPaperSmartphoneColorimetryPesticidesPesticidesColorimetricMicrofluidicPaper-based chipPesticide detectionQuantitative analysis

Identifiers

PMID35059790
OpenAlexW4205783490

What OpenQuestion holds

Textmetadata
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.