Evidence map›Paper›PMID 40847439›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Electrochemistry as a Tool for Redox-Based Bio-Information Processing.

Eunkyoung Kim, Chen-Yu Chen, Fauziah Rahma Zakaria, Dana Motabar, Mijeong Kang, Deanna L Kelly, Alessandra Napolitano, William E Bentley, Gregory F Payne

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Electrochemistry as a Tool for Redox-Based Bio-Information Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 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

9 authors.

Eunkyoung KimInstitute for Bioscience and Biotechnology Research, University of Maryland, College Park, Maryland, 20742, USA.ORCID https://orcid.org/0000-0003-2566-4041
Chen-Yu ChenInstitute for Bioscience and Biotechnology Research, University of Maryland, College Park, Maryland, 20742, USA.
Fauziah Rahma ZakariaInstitute for Bioscience and Biotechnology Research, University of Maryland, College Park, Maryland, 20742, USA.
Dana MotabarInstitute for Bioscience and Biotechnology Research, University of Maryland, College Park, Maryland, 20742, USA.
Mijeong KangDepartment of Optics and Mechatronics Engineering, Pusan National University, Busan, 46241, Republic of Korea.
Deanna L KellyMaryland Psychiatric Research Center, University of Maryland School of Medicine, Baltimore, MD, 21228, USA.
Alessandra NapolitanoDepartment of Chemical Sciences, University of Naples Federico II, Via Cintia 4, Naples, I-80126, Italy.
William E BentleyInstitute for Bioscience and Biotechnology Research, University of Maryland, College Park, Maryland, 20742, USA.
Gregory F PayneInstitute for Bioscience and Biotechnology Research, University of Maryland, College Park, Maryland, 20742, USA.ORCID https://orcid.org/0000-0001-6638-9459

Funding

Defense Threat Reduction Agency HDTRA1-19-0021Gordon and Betty Moore Foundation #11395National Science Foundation MCB #2227598
6 · The paper itself

Abstract

Redox, a native modality in biology involving the flow of electrons, energy, and information, is used for energy-harvesting, biosynthesis, immune-defense, and signaling. Because electrons (in contrast to protons) are not soluble in the medium, electron-flow through the redox modality occurs through redox reactions that are sometimes organized into pathways and networks (e.g., redox interactomes). Redox is also accessible to electrochemistry, which enables electrodes to receive and transmit electrons to exchange energy and information with biology. In this Perspective, efforts to develop electrochemistry as a tool for redox-based bio-information processing: to interconvert redox-based molecular attributes into interpretable electronic signals, are described. Using a series of Case Studies, how the information-content of the measurements can be enriched using: diffusible mediators; tuned electrical input sequences; and cross-modal measurements (e.g., electrical plus spectral), is shown. Also, theory-guided feature engineering approaches to compress the information in the electronic signals into quantitative metrics (i.e., features) that can serve as correlating variables for pattern recognition by data-driven analysis are described. Finally, how redox provides a modality for electrogenetic actuation is illustrated. It is suggested that electrochemistry's capabilities to provide real-time, low-cost, and high-content data in an electronic format allow the feedback-control needed for autonomous learning and deployable sensing/actuation.

Indexed as

electrochemiluminescenceelectrogeneticsmediated electrochemistrymelaninoxidative stressredox biologyspectroelectrochemistry

Identifiers

PMID40847439
PMCPMC12463114

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.