Evidence map›Paper›PMID 38272973›Full record

ArticleNature nanotechnology2024

Augmenting insect olfaction performance through nano-neuromodulation.

Prashant Gupta, Rishabh Chandak, Avishek Debnath, Michael Traner, Brendan M Watson, Hengbo Huang, Hamed Gholami Derami, Harsh Baldi, Shantanu Chakrabartty, Baranidharan Raman and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors at 1 institution in 1 country.

Prashant GuptaDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St Louis, St Louis, MO, USA.ORCID 0009-0008-6291-9465
Rishabh ChandakDepartment of Biomedical Engineering, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0001-9984-3312
Avishek DebnathDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St Louis, St Louis, MO, USA.
Michael TranerDepartment of Biomedical Engineering, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0002-0876-4764
Brendan M WatsonDepartment of Emergency Medicine, Washington University School of Medicine, St Louis, MO, USA.ORCID 0009-0006-9233-8886
Hengbo HuangDepartment of Biomedical Engineering, Washington University in St Louis, St Louis, MO, USA.
Hamed Gholami DeramiDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0002-1409-3792
Harsh BaldiDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St Louis, St Louis, MO, USA.ORCID 0000-0002-0605-5980
Shantanu ChakrabarttyDepartment of Electrical & Systems Engineering, Washington University in St Louis, St Louis, MO, USA.
Baranidharan RamanDepartment of Biomedical Engineering, Washington University in St Louis, St Louis, MO, USA. barani@wustl.edu.ORCID 0000-0002-7866-155X
Srikanth SingamaneniDepartment of Mechanical Engineering and Materials Science, and Institute of Materials Science and Engineering, Washington University in St Louis, St Louis, MO, USA. singamaneni@wustl.edu.ORCID 0000-0002-7203-2613
Washington University in St. Louis · US

Funding

United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA95501910394United States Department of Defense | United States Navy | Office of Naval Research (ONR) N000142112343
6 · The paper itself

Abstract

Biological olfactory systems are highly sensitive and selective, often outperforming engineered chemical sensors in highly complex and dynamic environments. As a result, there is much interest in using biological systems to build sensors. However, approaches to read-out information from biological systems, especially neural signals, tend to be suboptimal due to the number of electrodes that can be used and where these can be placed. Here we aim to overcome this suboptimality in neural information read-out by using a nano-enabled neuromodulation strategy to augment insect olfaction-based chemical sensors. By harnessing the photothermal properties of nanostructures and releasing a select neuromodulator on demand, we show that the odour-evoked response from the interrogated regions of the insect olfactory system can not only be enhanced but can also improve odour identification.

Indexed as

OdorantsSmellAnimalsInsectaNanostructuresNanotechnologyNeurotransmitter AgentsNeurotransmitter Agents

Identifiers

PMID38272973
OpenAlexW4391223608

What Socratic 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 Socratic graph.