Evidence map›Paper›PMID 28561988›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2017

Electron Hopping Across Hemin-Doped Serum Albumin Mats on Centimeter-Length Scales.

Nadav Amdursky, Xuhua Wang, Paul Meredith, D Jason Riley, David J Payne, Donal D C Bradley, Molly M Stevens

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Nadav AmdurskyDepartment of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Xuhua WangDepartment of Physics and Centre for Plastic Electronics, Imperial College London, London, SW7 2AZ, UK.
Paul MeredithDepartment of Physics, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales, UK.
D Jason RileyDepartment of Materials, Imperial College London, London, SW7 2AZ, UK.
David J PayneDepartment of Materials, Imperial College London, London, SW7 2AZ, UK.
Donal D C BradleyDepartment of Physics and Centre for Plastic Electronics, Imperial College London, London, SW7 2AZ, UK.
Molly M StevensDepartment of Materials, Department of Bioengineering and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.

Funding

European Research Council 616417Wellcome Trust
6 · The paper itself

Abstract

Exploring long-range electron transport across protein assemblies is a central interest in both the fundamental research of biological processes and the emerging field of bioelectronics. This work examines the use of serum-albumin-based freestanding mats as macroscopic electron mediators in bioelectronic devices. In particular, this study focuses on how doping the protein mat with hemin improves charge-transport. It is demonstrated that doping can increase conductivity 40-fold via electron hopping between adjacent hemin molecules, resulting in the highest measured conductance for a protein-based material yet reported, and transport over centimeter length scales. The use of distance-dependent AC impedance and DC current-voltage measurements allows the contribution from electron hopping between adjacent hemin molecules to be isolated. Because the hemin-doped serum albumin mats have both biocompatibility and fabrication simplicity, they should be applicable to a range of bioelectronic devices of varying sizes, configurations, and applications.

Indexed as

AlgorithmsAnimalsCattleElectric ConductivityElectrodesElectron TransportHeminSerum Albumin, BovineHeminSerum Albumin, Bovinecurrent-voltageelectron transferimpedance spectroscopyprotein films

Identifiers

PMID28561988
PMCPMC5788260

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Registered trials

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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.