Evidence map›Paper›PMID 34326976›Full record

ReviewJournal of healthcare engineering2021

Application of Microfluidics in Immunoassay: Recent Advancements.

Yuxing Shi, Peng Ye, Kuojun Yang, Jie Meng, Jiuchuan Guo, Zhixiang Pan, Qiaoge Bayin, Wenhao Zhao

Abstract readReview
In one paragraph

Review in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Review
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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

8 authors.

Yuxing ShiSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Peng YeSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0002-5802-465X
Kuojun YangSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jie MengSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Jiuchuan GuoSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.ORCID 0000-0001-8334-2281
Zhixiang PanSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Qiaoge BayinSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.
Wenhao ZhaoSchool of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, point-of-care testing has played an important role in immunoassay, biochemical analysis, and molecular diagnosis, especially in low-resource settings. Among various point-of-care-testing platforms, microfluidic chips have many outstanding advantages. Microfluidic chip applies the technology of miniaturizing conventional laboratory which enables the whole biochemical process including reagent loading, reaction, separation, and detection on the microchip. As a result, microfluidic platform has become a hotspot of research in the fields of food safety, health care, and environmental monitoring in the past few decades. Here, the state-of-the-art application of microfluidics in immunoassay in the past decade will be reviewed. According to different driving forces of fluid, microfluidic platform is divided into two parts: passive manipulation and active manipulation. In passive manipulation, we focus on the capillary-driven microfluidics, while in active manipulation, we introduce pressure microfluidics, centrifugal microfluidics, electric microfluidics, optofluidics, magnetic microfluidics, and digital microfluidics. Additionally, within the introduction of each platform, innovation of the methods used and their corresponding performance improvement will be discussed. Ultimately, the shortcomings of different platforms and approaches for improvement will be proposed.

Indexed as

MicrofluidicsHumansImmunoassayOligonucleotide Array Sequence Analysis

Identifiers

PMID34326976
PMCPMC8302407

What OpenQuestion holds

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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.