Evidence map›Paper›PMID 33712916›Full record

ReviewAnalytical and bioanalytical chemistry2021

Strategies for the detection of target analytes using microfluidic paper-based analytical devices.

Wei Zheng, Kan Wang, Hao Xu, Chujun Zheng, Bo Cao, Qi Qin, Qinghui Jin, Daxiang Cui

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  11. Review
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  14. Detection of gases and organic vapors by cellulose-based sensors.Analytical and bioanalytical chemistry · 2023
    Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Recent developments in sensors for wearable device applications.Analytical and bioanalytical chemistry · 2021
    Review
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

8 authors.

Wei ZhengDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instruments, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, 200240, China.
Kan WangDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instruments, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, 200240, China. wk_xa@163.com.ORCID http://orcid.org/0000-0003-3842-9390
Hao XuSchool of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Chujun ZhengDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instruments, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, 200240, China.
Bo CaoDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instruments, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, 200240, China.
Qi QinDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instruments, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, 200240, China.
Qinghui JinState Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.
Daxiang CuiDepartment of Instrument Science and Engineering, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai Engineering Research Center for Intelligent Diagnosis and Treatment Instruments, Key Laboratory of Thin Film and Microfabrication (Ministry of Education), Shanghai, 200240, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microfluidic paper-based analytical devices (μPADs) have developed rapidly in recent years, because of their advantages, such as small sample volume, rapid detection rates, low cost, and portability. Due to these characteristics, they can be used for in vitro diagnostics in the laboratory, or in the field, for a variety of applications, including food evaluation, disease screening, environmental monitoring, and drug testing. This review will present various detection methods employed by μPADs and their respective applications for the detection of target analytes. These include colorimetry, electrochemistry, chemiluminescence (CL), electrochemiluminescence (ECL), and fluorescence-based methodologies. At the same time, the choice of labeling material and the design of microfluidic channels are also important for detection results. The construction of novel nanocomponents and different smart structures of paper-based devices have improved the performance of μPADs and we will also highlight some of these in this manuscript. Additionally, some key challenges and future prospects for the use of μPADs are briefly discussed.

Indexed as

ImmunologicalMicrofluidic paper-based analytical devices (μPADs)Point-of-care testing (POCT)

Identifiers

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.