Evidence map›Paper›PMID 37767341›Full record

ReviewFrontiers in chemistry2023

Microfluidic integrated gas sensors for smart analyte detection: a comprehensive review.

Arian Yeganegi, Kaveh Yazdani, Nishat Tasnim, Somayeh Fardindoost, Mina Hoorfar

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2023. 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. Review
  2. Review
  3. Article
  4. Advances in Microengineered Platforms for Skin Research.JID innovations : skin science from molecules to population health · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. 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

5 authors.

Arian Yeganegi *School of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada.
Kaveh Yazdani *School of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada.
Nishat TasnimSchool of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada.
Somayeh FardindoostSchool of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada.
Mina HoorfarSchool of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The utilization of gas sensors has the potential to enhance worker safety, mitigate environmental issues, and enable early diagnosis of chronic diseases. However, traditional sensors designed for such applications are often bulky, expensive, difficult to operate, and require large sample volumes. By employing microfluidic technology to miniaturize gas sensors, we can address these challenges and usher in a new era of gas sensors suitable for point-of-care and point-of-use applications. In this review paper, we systematically categorize microfluidic gas sensors according to their applications in safety, biomedical, and environmental contexts. Furthermore, we delve into the integration of various types of gas sensors, such as optical, chemical, and physical sensors, within microfluidic platforms, highlighting the resultant enhancements in performance within these domains.

Indexed as

gas sensorsmicrofluidicminiaturizationselectivitysensitivity

Identifiers

PMID37767341
PMCPMC10520252

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.