Evidence map›Paper›PMID 36595116›Full record

ReviewNano convergence2023

The development progress of multi-array colourimetric sensors based on the M13 bacteriophage.

Sung-Jo Kim, Yujin Lee, Eun Jung Choi, Jong-Min Lee, Kwang Ho Kim, Jin-Woo Oh

Abstract readReview
In one paragraph

Review in Nano convergence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
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.

Sung-Jo Kim *Bio-IT Fusion Technology Research Institute, Pusan National University, Busan, Republic of Korea.
Yujin Lee *Department of Nano Fusion Technology, Pusan National University, Busan, Republic of Korea.
Eun Jung ChoiBio-IT Fusion Technology Research Institute, Pusan National University, Busan, Republic of Korea.
Jong-Min LeeSchool of Nano Convergence Technology, Hallym University, Chuncheon, Republic of Korea.
Kwang Ho KimSchool of Materials Science and Engineering, Pusan National University, Busan, Republic of Korea. kwhokim@pusan.ac.kr.
Jin-Woo OhBio-IT Fusion Technology Research Institute, Pusan National University, Busan, Republic of Korea. ojw@pusan.ac.kr.ORCID http://orcid.org/0000-0002-0065-5088

Funding

National Research Foundation of Korea 2013M3A6B1078874National Research Foundation of Korea 2017M3D1A1039287National Research Foundation of Korea 2020R1A2C2011090
6 · The paper itself

Abstract

Techniques for detecting chemicals dispersed at low concentrations in air continue to evolve. These techniques can be applied not only to manage the quality of agricultural products using a post-ripening process but also to establish a safety prevention system by detecting harmful gases and diagnosing diseases. Recently, techniques for rapid response to various chemicals and detection in complex and noisy environments have been developed using M13 bacteriophage-based sensors. In this review, M13 bacteriophage-based multi-array colourimetric sensors for the development of an electronic nose is discussed. The self-templating process was adapted to fabricate a colour band structure consisting of an M13 bacteriophage. To detect diverse target chemicals, the colour band was utilised with wild and genetically engineered M13 bacteriophages to enhance their sensing abilities. Multi-array colourimetric sensors were optimised for application in complex and noisy environments based on simulation and deep learning analysis. The development of a multi-array colourimetric sensor platform based on the M13 bacteriophage is likely to result in significant advances in the detection of various harmful gases and the diagnosis of various diseases based on exhaled gas in the future.

Indexed as

Colourimetric sensorElectronic noseGenetic engineeringM13 bacteriophageSelf-assemblySelf-templating process

Identifiers

PMID36595116
PMCPMC9808696

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.