Evidence map›Paper›PMID 36671949›Full record

ReviewBiosensors2023

Recent Advances in Sensing Materials Targeting Clinical Volatile Organic Compound (VOC) Biomarkers: A Review.

Akhilesh Kumar Pathak, Kankan Swargiary, Nuntaporn Kongsawang, Pannathorn Jitpratak, Noppasin Ajchareeyasoontorn, Jade Udomkittivorakul, Charusluk Viphavakit

Abstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Biomaterials for biomarker imaging and detection.Journal of advanced research · 2026
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Monosaccharide-Derived Enantioselectivity in SWCNT Chemoresistive VOC Sensing.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Akhilesh Kumar PathakInternational School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-1656-3428
Kankan SwargiaryInternational School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0003-4322-1420
Nuntaporn KongsawangBiomedical Engineering Program, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
Pannathorn JitpratakBiomedical Engineering Program, Faculty of Engineering, Chulalongkorn University, Bangkok 10330, Thailand.
Noppasin AjchareeyasoontornInternational School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand.
Jade UdomkittivorakulInternational School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand.
Charusluk ViphavakitInternational School of Engineering (ISE), Intelligent Control Automation of Process Systems Research Unit, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0002-4176-3341

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In general, volatile organic compounds (VOCs) have a high vapor pressure at room temperature (RT). It has been reported that all humans generate unique VOC profiles in their exhaled breath which can be utilized as biomarkers to diagnose disease conditions. The VOCs available in exhaled human breath are the products of metabolic activity in the body and, therefore, any changes in its control level can be utilized to diagnose specific diseases. More than 1000 VOCs have been identified in exhaled human breath along with the respiratory droplets which provide rich information on overall health conditions. This provides great potential as a biomarker for a disease that can be sampled non-invasively from exhaled breath with breath biopsy. However, it is still a great challenge to develop a quick responsive, highly selective, and sensitive VOC-sensing system. The VOC sensors are usually coated with various sensing materials to achieve target-specific detection and real-time monitoring of the VOC molecules in the exhaled breath. These VOC-sensing materials have been the subject of huge interest and extensive research has been done in developing various sensing tools based on electrochemical, chemoresistive, and optical methods. The target-sensitive material with excellent sensing performance and capturing of the VOC molecules can be achieved by optimizing the materials, methods, and its thickness. This review paper extensively provides a detailed literature survey on various non-biological VOC-sensing materials including metal oxides, polymers, composites, and other novel materials. Furthermore, this review provides the associated limitations of each material and a summary table comparing the performance of various sensing materials to give a better insight to the readers.

Indexed as

Volatile Organic CompoundsBiomarkersBreath TestsExhalationHumansOxidesBiomarkersOxidesVolatile Organic Compoundsbiomarkerbreath analysiscompositesgas sensorgraphenemetal oxidesmolecularly imprinted polymersensorvolatile organic compound

Identifiers

PMID36671949
PMCPMC9855562

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.