Evidence map›Paper›PMID 39835449›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Design Principles From Natural Olfaction for Electronic Noses.

Haritosh Patel, Vicente Garrido Portilla, Anna V Shneidman, Jacopo Movilli, Jack Alvarenga, Christophe Dupré, Michael Aizenberg, Venkatesh N Murthy, Alexander Tropsha, Joanna Aizenberg

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Design Principles From Natural Olfaction for Electronic Noses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    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

10 authors.

Haritosh PatelHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0000-0002-2892-1974
Vicente Garrido PortillaHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0009-0008-6482-7484
Anna V ShneidmanHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0000-0001-6064-5378
Jacopo MovilliHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0000-0001-6691-0654
Jack AlvarengaHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0000-0002-7131-5945
Christophe DupréDepartment of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA.ORCID https://orcid.org/0000-0001-7485-1084
Michael AizenbergHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0000-0002-2901-7012
Venkatesh N MurthyDepartment of Molecular & Cellular Biology, Harvard University, Cambridge, MA, 02138, USA.ORCID https://orcid.org/0000-0003-2443-4252
Alexander TropshaDepartment of Chemistry, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516, USA.ORCID https://orcid.org/0000-0003-3802-8896
Joanna AizenbergHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, 02134, USA.ORCID https://orcid.org/0000-0002-2343-8705

Funding

Stability and flexibility of neural representations in the ventral striatumR01DC017311 · NIDCD · HARVARD UNIVERSITY · PI VENKATESH N MURTHY, Naoshige Uchida · 2019 to 2026
$4.5M
Odor trail tracking: a new paradigm to unveil algorithms and neural circuits underlying active sensation and continuous decision makingRF1NS128865 · NINDS · HARVARD UNIVERSITY · PI DULAC, CATHERINE, MURTHY, VENKATESH N · 2022 to 2022
$2.7M
Cortical feedback and olfactory processingR01DC016289 · NIDCD · HARVARD UNIVERSITY · PI MURTHY, VENKATESH N · 2018 to 2022
$2.0M
NIDCD NIH HHS R01 DC016289NIDCD NIH HHS R01 DC017311NINDS NIH HHS RF1 NS128865
6 · The paper itself

Abstract

Natural olfactory systems possess remarkable sensitivity and precision beyond what is currently achievable by engineered gas sensors. Unlike their artificial counterparts, noses are capable of distinguishing scents associated with mixtures of volatile molecules in complex, typically fluctuating environments and can adapt to changes. This perspective examines the multifaceted biological principles that provide olfactory systems their discriminatory prowess, and how these ideas can be ported to the design of electronic noses for substantial improvements in performance across metrics such as sensitivity and ability to speciate chemical mixtures. The topics examined herein include the fluid dynamics of odorants in natural channels; specificity and kinetics of odorant interactions with olfactory receptors and mucus linings; complex signal processing that spatiotemporally encodes physicochemical properties of odorants; active sampling techniques, like biological sniffing and nose repositioning; biological priming; and molecular chaperoning. Each of these components of natural olfactory systems are systmatically investigated, as to how they have been or can be applied to electronic noses. While not all artificial sensors can employ these strategies simultaneously, integrating a subset of bioinspired principles can address issues like sensitivity, drift, and poor selectivity, offering advancements in many sectors such as environmental monitoring, industrial safety, and disease diagnostics.

Indexed as

Electronic NoseOdorantsSmellAnimalsEquipment DesignHumansReceptors, OdorantReceptors, Odorantadaptive mechanismsbioinspirationgas sensorsmachine learningmaterials science

Identifiers

PMID39835449
PMCPMC11948017

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.