Evidence map›Paper›PMID 42179837›Full record

ArticleNpj biosensing2026

Metal-phenolic networks improve interfacial electron transfer in bio-electrochemical systems.

Sunanda Dey, Madeleine E Laws, Songyi Yeon, Jesus M Lopez Baltazar, Chao-Chi Kuo, Ariel L Furst

Abstract read
In one paragraph

Article in Npj biosensing, 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

6 authors.

Sunanda DeyDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.
Madeleine E LawsDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.
Songyi YeonDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.
Jesus M Lopez BaltazarDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.
Chao-Chi KuoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.
Ariel L FurstDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-enzyme electrocatalytic cascades often suffer from poor electron-transfer efficiency, limiting their utility. We overcome this critical challenge by integrating an interfacial metal-phenolic network (MPN) layer with tunable properties based on the metal and polyphenol employed. Upon electropolymerization, MPNs provide a stable matrix for co-immobilizing glucose oxidase and horseradish peroxidase, enhancing their tandem activity. Through systematic evaluation of the impact of MPN composition on electron transfer, we demonstrate the tunability of these materials for cascade-specific optimization. This simple material is expected to support diverse enzymatic reactions important for technologies ranging from bioenergy to biosensing.

Indexed as

ChemistryEnergy science and technologyMaterials science

Identifiers

PMID42179837
PMCPMC13197222

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.