Evidence map›Paper›PMID 33842019›Full record

ReviewFrontiers of environmental science & engineering2021

Advances in airborne microorganisms detection using biosensors: A critical review.

Jinbiao Ma, Manman Du, Can Wang, Xinwu Xie, Hao Wang, Qian Zhang

Abstract readReview
In one paragraph

Review in Frontiers of environmental science & engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Organic components modulate the morphology of respirable aerovirology-relevant aerosols.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2026
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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

6 authors.

Jinbiao Ma *School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072 China.
Manman Du *School of Environmental Science and Engineering, Tianjin University, Tianjin, 300072 China.
Can WangSchool of Environmental Science and Engineering, Tianjin University, Tianjin, 300072 China.
Xinwu XieInstitute of Medical Support Technology, Academy of Military Science, Tianjin, 300161 China.
Hao WangInstitute of Medical Support Technology, Academy of Military Science, Tianjin, 300161 China.
Qian ZhangSchool of Mechanical Engineering and Safety Engineering, Institute of Particle Technology, University of Wuppertal, Wuppertal, D-42119 Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies. However, these technologies still have some shortcomings; they are time-consuming and have low sensitivity and poor stability. Most of them need to be used in the ideal environment of a laboratory, which limits their applications. A biosensor is a device that converts biological signals into detectable signals. As an interdisciplinary field, biosensors have successfully introduced a variety of technologies for bio-detection. Given their fast analysis speed, high sensitivity, good portability, strong specificity, and low cost, biosensors have been widely used in environmental monitoring, medical research, food and agricultural safety, military medicine and other fields. In recent years, the performance of biosensors has greatly improved, becoming a promising technology for airborne microorganism detection. This review introduces the detection principle of biosensors from the three aspects of component identification, energy conversion principle, and signal amplification. It also summarizes its research and application in airborne microorganism detection. The new progress and future development trend of the biosensor detection of airborne microorganisms are analyzed.

Indexed as

Airborne microorganismsBiosensorMicrobiological detection technology

Identifiers

PMID33842019
PMCPMC8023783

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.