Evidence map›Paper›PMID 40210697›Full record

ArticleAnalytical and bioanalytical chemistry2025

Laser-generated Pt/Ni nanocatalysts-carbon nanofibers enabling self-calibrated enzyme-free glucose detection at physiological pH.

Christoph Bruckschlegel, Vivien Fleischmann, Aladin Ullrich, Luc Girard, Pierre Bauduin, Antje J Baeumner, Nongnoot Wongkaew

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Christoph BruckschlegelInstitute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Universitaetsstrasse 31, 93053, Regensburg, Germany.
Vivien FleischmannInstitute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Universitaetsstrasse 31, 93053, Regensburg, Germany.
Aladin UllrichInstitute of Physics, University of Augsburg, Universitaetsstrasse 1, 86159, Augsburg, Germany.
Luc GirardICSM, Univ Montpellier, CEA, CNRS, ENSCM, Marcoule, 30207, Bagnols sur Cèze Cedex, France.
Pierre BauduinICSM, Univ Montpellier, CEA, CNRS, ENSCM, Marcoule, 30207, Bagnols sur Cèze Cedex, France.
Antje J BaeumnerInstitute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Universitaetsstrasse 31, 93053, Regensburg, Germany.
Nongnoot WongkaewInstitute of Analytical Chemistry, Chemo- and Biosensors, University of Regensburg, Universitaetsstrasse 31, 93053, Regensburg, Germany. nongnoot.wongkaew@ur.de.ORCID http://orcid.org/0000-0002-6118-6182

Funding

BayFrance program FK-03-2022Deutsche Forschungsgemeinschaft 457100614
6 · The paper itself

Abstract

We propose a bimetallic alloy composed of Pt and Ni embedded within laser-induced carbon nanofibers (Pt/Ni-LCNFs) as an enzyme-free transducer for the detection of glucose under physiological pH. Laser exposure on electrospun polyimide nanofibers, embedded with Pt and Ni precursors, facilitated not only the formation of LCNFs but also the generation of Pt/Ni nanoparticles with a radius of approximately 2 nm and a distinctive crystalline structure. X-ray photoelectron spectroscopy revealed the oxidation states of the laser-generated Pt/Ni and confirmed the formation of the Pt/Ni alloy nanocatalysts. Additionally, small-angle X-ray scattering has shown that the graphitic structures of the LCNFs strongly depend on the metal salt concentrations and molar ratio. Pt/Ni-LCNFs were exploited as enzyme-free electrodes for glucose sensing at physiological pH. The presence of Pt in the alloy enabled a low potential (-0.9 V for 20 s) in situ generation of highly localized OH

Indexed as

Biosensing TechniquesCarbonGlucoseNanofibersNickelPlatinumCatalysisElectrochemical TechniquesHumansHydrogen-Ion ConcentrationLasersLimit of DetectionCarbonGlucoseNickelPlatinumEnzyme-free sensorsGlucoseLaser-induced carbon nanofibersLocally generated hydroxidePhysiological pHPt/Ni nanocatalysts

Identifiers

PMID40210697
PMCPMC12122661

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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.