Evidence map›Paper›PMID 36965380›Full record

ArticleBiosensors & bioelectronics2023

Data-driven design of a multiplexed, peptide-sensitized transistor to detect breath VOC markers of COVID-19.

Oliver Nakano-Baker, Hanson Fong, Shalabh Shukla, Richard V Lee, Le Cai, Dennis Godin, Tatum Hennig, Siddharth Rath, Igor Novosselov, Sami Dogan and 2 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 22 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Oliver Nakano-BakerUniversity of Washington Dept. of Materials Science and Engineering, USA. Electronic address: onb@uw.edu.
Hanson FongUniversity of Washington Dept. of Materials Science and Engineering, USA.
Shalabh ShuklaUniversity of Washington Dept. of Biochemistry, USA.
Richard V LeeUniversity of Washington Dept. of Materials Science and Engineering, USA.
Le CaiUniversity of Washington Dept. of Materials Science and Engineering, USA.
Dennis GodinUniversity of Washington Dept. of Biochemistry, USA.
Tatum HennigUniversity of Washington Dept. of Atmospheric Chemistry, USA.
Siddharth RathUniversity of Washington Dept. of Materials Science and Engineering, USA.
Igor NovosselovUniversity of Washington Depts. of Mechanical Engineering, Occupational and Environmental Health Sciences, USA.
Sami DoganUniversity of Washington School of Dentistry, USA.
Mehmet SarikayaUniversity of Washington Depts. of Materials Science and Engineering, Chemical Engineering, Oral Health Sciences, USA.
J Devin MacKenzieUniversity of Washington Depts. of Materials Science and Engineering, Mechanical Engineering, USA.
University of Washington · US

Funding

Washington Entrepreneurial Research Evaluation and Commercialization HubU01HL152401 · NHLBI · UNIVERSITY OF WASHINGTON · PI HO, RODNEY J.Y. · 2019 to 2022
$5.1M
NHLBI NIH HHS U01 HL152401
6 · The paper itself

Abstract

Exhaled human breath contains a rich mixture of volatile organic compounds (VOCs) whose concentration can vary in response to disease or other stressors. Using simulated odorant-binding proteins (OBPs) and machine learning methods, we designed a multiplex of short VOC- and carbon-binding peptide probes that detect a characteristic "VOC fingerprint". Specifically, we target VOCs associated with COVID-19 in a compact, molecular sensor array that directly transduces vapor composition into multi-channel electrical signals. Rapidly synthesizable, chimeric VOC- and solid-binding peptides were derived from selected OBPs using multi-sequence alignment with protein database structures. Selective peptide binding to targeted VOCs and sensor surfaces was validated using surface plasmon resonance spectroscopy and quartz crystal microbalance. VOC sensing was demonstrated by peptide-sensitized, exposed-channel carbon nanotube transistors. The data-to-device pipeline enables the development of novel devices for non-invasive monitoring, diagnostics of diseases, and environmental exposure assessment.

Indexed as

Biosensing TechniquesCOVID-19Volatile Organic CompoundsBreath TestsEnvironmental ExposureHumansSurface Plasmon ResonanceVolatile Organic CompoundsCarbon nanotube transistorMolecular designMultiplex biosensorsOdorant binding proteinsSolid-binding peptidesVolatile organic compounds

Identifiers

PMID36965380
PMCPMC10027305
OpenAlexW4327922505

What OpenQuestion holds

Textmetadata
LicenceTDM
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.