Evidence map›Paper›PMID 34422436›Full record

ReviewJournal of analysis and testing2021

Mass Spectrometry-Based Human Breath Analysis: Towards COVID-19 Diagnosis and Research.

Zi-Cheng Yuan, Bin Hu

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of analysis and testing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

23 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Facile Preparation of TiOSensors (Basel, Switzerland) · 2024
    Article
  7. Review
  8. Tuning phosphorene and MoSRSC advances · 2024
    Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Advances in rapid detection of SARS-CoV-2 by mass spectrometry.Trends in analytical chemistry : TRAC · 2022
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Recent advances in facemask devices forTrends in analytical chemistry : TRAC · 2022
    Review
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Zi-Cheng YuanGuangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, 510632 China.
Bin HuGuangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air Pollution, Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, 510632 China.ORCID 0000-0002-8294-1538
Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a highly contagious respiratory disease that can be infected through human exhaled breath. Human breath analysis is an attractive strategy for rapid diagnosis of COVID-19 in a non-invasive way by monitoring breath biomarkers. Mass spectrometry (MS)-based approaches offer a promising analytical platform for human breath analysis due to their high speed, specificity, sensitivity, reproducibility, and broad coverage, as well as its versatile coupling methods with different chromatographic separation, and thus can lead to a better understanding of the clinical and biochemical processes of COVID-19. Herein, we try to review the developments and applications of MS-based approaches for multidimensional analysis of COVID-19 breath samples, including metabolites, proteins, microorganisms, and elements. New features of breath sampling and analysis are highlighted. Prospects and challenges on MS-based breath analysis related to COVID-19 diagnosis and study are discussed.

Indexed as

Breath analysisBreath samplingCOVID-19Mass spectrometryMultidimensional analysisSARS-CoV-2

Identifiers

PMID34422436
PMCPMC8364943
OpenAlexW3194336919

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.