Evidence map›Paper›PMID 41031321›Full record

ArticleChem & bio engineering2025

Synthetic Whole-Cell Bioelectronic Chemical Sensing with

Robert W Bradley, Estefania Nunez-Bajo, Firat Guder, Martin Buck, Baojun Wang

Abstract read
In one paragraph

Article in Chem & bio engineering, 2025. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Programming Next-Generation Synthetic Biosensors by Genetic Circuit Design.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  4. bioRxiv : the preprint server for biology · 2025
    Article
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

5 authors.

Robert W BradleyCollege of Chemical and Biological Engineering & ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China.
Estefania Nunez-BajoDepartment of Bioengineering, Imperial College London, London SW7 2AZ, U.K.
Firat GuderDepartment of Bioengineering, Imperial College London, London SW7 2AZ, U.K.
Martin BuckDepartment of Life Sciences, Imperial College London, London SW7 2AZ, U.K.ORCID https://orcid.org/0000-0002-7580-8982
Baojun WangCollege of Chemical and Biological Engineering & ZJU-Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou 310058, China.ORCID https://orcid.org/0000-0002-4858-8937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors exploit the capabilities of biological systems to acquire a huge variety of chemical or physical information and convert molecular signals into actionable data. Here we took a bottom-up synthetic biology approach to combine the versatility and programmability of whole-cell bacterial biosensors with the sensitivity of electrochemical sensing devices. We built genetic modules to produce different phenazines and wired these to various sensing and information processing modules. A whole-cell bioelectronic sensor with a T7 RNAP-based signal amplifier was first constructed that detected mercury contaminants below the level of WHO safe limit for drinking water. We demonstrated the modularity and programmability of the sensor design by incorporating Boolean logic computation into a dual-input sensor. We subsequently engineered a sensor strain that can produce two phenazine types, giving a two-channel electrochemical output signal based on the detection of differentiated midpoint potentials. Our modular bioelectronic sensor therefore can be readily adapted for different applications and forms the basis for development of low-cost, field-deployable sensing devices.

Indexed as

bioelectrochemicalbiological signal amplifierelectrogeneticgenetic logic gatephenazinewhole-cell biosensor

Identifiers

PMID41031321
PMCPMC12478552

What OpenQuestion holds

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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.