Evidence map›Paper›PMID 39504378›Full record

ArticleScience advances2024

High-speed odor sensing using miniaturized electronic nose.

Nik Dennler, Damien Drix, Tom P A Warner, Shavika Rastogi, Cecilia Della Casa, Tobias Ackels, Andreas T Schaefer, André van Schaik, Michael Schmuker

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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Article
  3. Single Cu Atom Sites on CoSmall (Weinheim an der Bergstrasse, Germany) · 2026
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  5. Article
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  7. Article
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  9. 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
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Exploring Scent Distinction with Polymer Brush Arrays.ACS applied polymer materials · 2025
    Article
  16. Design Principles From Natural Olfaction for Electronic Noses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  17. Article
  18. Survey of temporal coding of sensory information.Frontiers in computational neuroscience · 2025
    Article
  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

9 authors.

Nik DennlerBiocomputation Group, University of Hertfordshire, Hatfield AL10 9AB, UK.ORCID 0000-0002-0380-2450
Damien DrixBiocomputation Group, University of Hertfordshire, Hatfield AL10 9AB, UK.ORCID 0000-0003-4107-5693
Tom P A WarnerSensory Circuits and Neurotechnology Laboratory, Francis Crick Institute, London NW1 1AT, UK.ORCID 0000-0002-2648-4264
Shavika RastogiBiocomputation Group, University of Hertfordshire, Hatfield AL10 9AB, UK.
Cecilia Della CasaSensory Circuits and Neurotechnology Laboratory, Francis Crick Institute, London NW1 1AT, UK.
Tobias AckelsSensory Circuits and Neurotechnology Laboratory, Francis Crick Institute, London NW1 1AT, UK.
Andreas T SchaeferSensory Circuits and Neurotechnology Laboratory, Francis Crick Institute, London NW1 1AT, UK.ORCID 0000-0002-4677-8788
André van SchaikInternational Centre for Neuromorphic Systems, Western Sydney University, Kingswood, 2747 NSW, Australia.ORCID 0000-0001-6140-017X
Michael SchmukerBiocomputation Group, University of Hertfordshire, Hatfield AL10 9AB, UK.ORCID 0000-0001-6753-4929

Funding

Medical Research Council MR/T046759/1
6 · The paper itself

Abstract

Animals have evolved to rapidly detect and recognize brief and intermittent encounters with odor packages, exhibiting recognition capabilities within milliseconds. Artificial olfaction has faced challenges in achieving comparable results-existing solutions are either slow; or bulky, expensive, and power-intensive-limiting applicability in real-world scenarios for mobile robotics. Here, we introduce a miniaturized high-speed electronic nose, characterized by high-bandwidth sensor readouts, tightly controlled sensing parameters, and powerful algorithms. The system is evaluated on a high-fidelity odor delivery benchmark. We showcase successful classification of tens-of-millisecond odor pulses and demonstrate temporal pattern encoding of stimuli switching with up to 60 hertz. Those timescales are unprecedented in miniaturized low-power settings and demonstrably exceed the performance observed in mice. It is now possible to match the temporal resolution of animal olfaction in robotic systems. This will allow for addressing challenges in environmental and industrial monitoring, security, neuroscience, and beyond.

Indexed as

Electronic NoseOdorantsSmellAlgorithmsAnimalsMiceMiniaturizationRobotics

Identifiers

PMID39504378
PMCPMC11540037

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.