Evidence map›Paper›PMID 42438366›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Graphene Nanosensor for the Detection of Small Organic Compounds Using an Insect Olfactory Receptor.

Deependra Kumar Ban, Alicia Contet, Michael Catania, Kerstin Kanonenberg, Martin Tyler, Brett Goldsmith, Kiana Aran

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Deependra Kumar BanShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California, San Diego, California, USA.
Alicia ContetEurofins CALIXAR, Lyon, France.
Michael CataniaCardeaBio Inc. (Now Paragraf Limited), San Diego, California, USA.
Kerstin KanonenbergEurofins CALIXAR, Lyon, France.
Martin TylerParagraf Limited, Somersham, Cambridgeshire, UK.
Brett GoldsmithCardeaBio Inc. (Now Paragraf Limited), San Diego, California, USA.
Kiana AranShu Chien-Gene Lay Department of Bioengineering, Jacobs School of Engineering Department of Bioengineering, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0001-5641-7284

Funding

Gate Foundation
6 · The paper itself

Abstract

Insect olfactory receptors have evolved to detect a wide range of chemicals and biomolecules, offering a promising foundation for next-generation chemical sensors. We report the first direct integration of the odorant receptor MhOR5 from Machilis hrabei onto a graphene field-effect transistor (gFET) for selective, label-free detection of small organic compounds (SOCs). Large scale production of MhOR5 was achieved for the first time, yielding a stable tetrameric protein (80% purity) with up to 3-month stability. High-quality gFETs were fabricated at the wafer scale and quality controlled before utilization, demonstrating highly reproducible chips. The MhOR5-functionalized gFETs were tested against sixteen chemically diverse SOCs, including eugenol, DEET, hexanol, and octanol, across a concentration range of 200 nm to 10 mm. Each analyte induced a concentration-dependent response in the sensor. Binding analysis within the tested SOCs revealed the strongest affinity for acetophenone (logK

Indexed as

Biosensing TechniquesGraphiteNanotechnologyOrganic ChemicalsReceptors, OdorantAnimalsEugenolTransistors, ElectronicEugenolGraphiteOrganic ChemicalsReceptors, Odorantfield effect transistorgrapheneMhOR5small organic compoundssynthetic biology

Identifiers

PMID42438366
PMCPMC13579163

What OpenQuestion 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 OpenQuestion graph.