Evidence map›Paper›PMID 38335291›Full record

ArticleScience advances2024

Real-time, noise and drift resilient formaldehyde sensing at room temperature with aerogel filaments.

Zhuo Chen, Binghan Zhou, Mingfei Xiao, Tynee Bhowmick, Padmanathan Karthick Kannan, Luigi G Occhipinti, Julian William Gardner, Tawfique Hasan

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Bioinspired periodic mesoporous tin oxides enable steady nonequilibrium chemical sensing for enhanced gas discrimination.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. 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

8 authors.

Zhuo ChenCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge CB3 0FA, UK.ORCID 0000-0003-4199-725X
Binghan ZhouCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge CB3 0FA, UK.
Mingfei XiaoCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge CB3 0FA, UK.ORCID 0000-0001-5293-5834
Tynee BhowmickCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge CB3 0FA, UK.
Padmanathan Karthick KannanSchool of Engineering, University of Warwick, Library Rd., Coventry CV4 7AL, UK.ORCID 0000-0002-5790-9536
Luigi G OcchipintiCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge CB3 0FA, UK.ORCID 0000-0002-9067-2534
Julian William GardnerSchool of Engineering, University of Warwick, Library Rd., Coventry CV4 7AL, UK.
Tawfique HasanCambridge Graphene Centre, University of Cambridge, 9 JJ Thomson Ave., Cambridge CB3 0FA, UK.ORCID 0000-0002-6250-7582

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Formaldehyde, a known human carcinogen, is a common indoor air pollutant. However, its real-time and selective recognition from interfering gases remains challenging, especially for low-power sensors suffering from noise and baseline drift. We report a fully 3D-printed quantum dot/graphene-based aerogel sensor for highly sensitive and real-time recognition of formaldehyde at room temperature. By optimizing the morphology and doping of printed structures, we achieve a record-high and stable response of 15.23% for 1 part per million formaldehyde and an ultralow detection limit of 8.02 parts per billion consuming only ∼130-microwatt power. On the basis of measured dynamic response snapshots, we also develop intelligent computational algorithms for robust and accurate detection in real time despite simulated substantial noise and baseline drift, hitherto unachievable for room temperature sensors. Our framework in combining materials engineering, structural design, and computational algorithm to capture dynamic response offers unprecedented real-time identification capabilities of formaldehyde and other volatile organic compounds at room temperature.

Identifiers

PMID38335291
PMCPMC10857368

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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.