Evidence map›Paper›PMID 42517229›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Discriminating Between Living and Dead Bacteria With a Field-Effect Transistor Based on Nano-Channels.

Bar Chen, Vijay Garika, Shubham Babbar, Pooja Verma, Tom Cohen, Kfir Kattav, Fanny Akselrod, Aparnaa Shree Vijaikumar, Shankar Bhattarai, Sherina Harilal and 8 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

18 authors.

Bar ChenSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0009-0000-7249-0422
Vijay GarikaSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Shubham BabbarSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0000-0003-3596-5921
Pooja VermaSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0009-0003-6349-6920
Tom CohenSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Kfir KattavSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0009-0007-5090-367X
Fanny AkselrodSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Aparnaa Shree VijaikumarDepartment of Chemistry and Data Science Research Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Shankar BhattaraiDepartment of Chemistry and Data Science Research Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0000-0001-7699-3086
Sherina HarilalDepartment of Solar Energy and Environmental Physics, Swiss Institute for Dryland Environmental and Energy Research, J. Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.
Evgeny PikhayTower Semiconductor, Migdal Haemek, Israel.
Inna ShechterTower Semiconductor, Migdal Haemek, Israel.
Doron GreentalTower Semiconductor, Migdal Haemek, Israel.
Muhammad Y BashoutiDepartment of Solar Energy and Environmental Physics, Swiss Institute for Dryland Environmental and Energy Research, J. Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Midreshet Ben-Gurion, Israel.ORCID https://orcid.org/0000-0002-0371-7088
Izhar RonSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
Yakov RoizinTower Semiconductor, Migdal Haemek, Israel.
Barak AkabayovDepartment of Chemistry and Data Science Research Centre, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0000-0002-3882-2742
Gil ShalevSchool of Electrical and computer Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.ORCID https://orcid.org/0000-0002-6893-1720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-cost and easy-to-operate biosensors allow for bacteria detection for on-site and real-time applications. However, current biosensors cannot distinguish between living and dead bacteria, critical in determining the persistence of bacterial contamination. The Meta-Nano-Channel field-effect transistor (MNC FET) is employed. Its design allows the formation of numerous conducting nano-channels each coupled to the sensing area binding events with a different efficiency addressing the challenge of molecular localized gating. The MNC FET is biofunctionalized with a recognition layer composed of E. coli antibodies. Sensing is performed in 0.5 µL drops of Lysogeny Broth (ionic strength of 197 mM, protein-rich background of 200 mg/L), providing a complex food environment, and without either sample pre-processing or pre-measurement washing. Specific, label-free, quantitative, and real-time sensing is demonstrated with a limit-of-detection of a single-bacterium and with excellent linearity and sensitivity. Furthermore, the platform's capacity to distinguish living from dead bacteria is validated by comparing the MNC FET response to living E. coli against populations subjected to thermal denaturation, antibiotic treatment, or metabolic inhibition. The MNC FET distinguishes between living and dead E. coli bacteria with a limit-of-detection of a single-bacterium. This method paves the way for biosensors for the discrimination of bacterial viability.

Indexed as

BacteriaBiosensing TechniquesEscherichia coliMicrobial ViabilityNanotechnologyTransistors, Electronicbacteria viabilityE. coli sensingFET biosensorlabel‐free biosensingreal‐time bacterial detectionsingle‐cell analysis

Identifiers

PMID42517229
PMCPMC13614294

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.