Yeast-Based Direct Catalytic Ethanol Fuel Cell Biosensors: A Batch Analysis Apparatus Combined with Chemometrics for Qualitative Carbohydrate Detection.

Mauro Tomassetti, Federico Marini, Corrado Di Natale, Mauro Castrucci, Luigi Campanella

Abstract read

In one paragraph

Article in Biosensors, 2025. 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

5 authors.

Mauro TomassettiDepartment of Chemistry, University of Rome "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.ORCID 0000-0002-3292-1053

Federico MariniDepartment of Chemistry, University of Rome "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.ORCID 0000-0001-8266-1117

Corrado Di NataleDepartment of Electronic Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0002-0543-4348

Mauro CastrucciDepartment of Chemistry, University of Rome "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.

Luigi CampanellaDepartment of Chemistry, University of Rome "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.ORCID 0000-0003-1857-5817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A novel strategy for the qualitative analysis of carbohydrates is developed, utilizing a direct catalytic fuel cell (DCFC) as a sensor, combined with chemometric tools for processing the resulting response curves. Specifically, carbohydrate solutions were incubated with yeast to produce alcohol, and the corresponding current decay trends were measured using a direct catalytic fuel cell designed for ethanol detection. Multiple data processing approaches were then evaluated. Initially, the entire set of data points from the response curves was analyzed using principal component analysis (PCA). To reduce analysis time, chemometric processing was subsequently restricted to the initial portion of the response curves. Finally, to enhance the results, the current decay curves were analyzed in conjunction with the linear fitting parameters derived from the quasi-linear region of the initial response curves, utilizing the common dimension (ComDim) algorithm.

Indexed as

Bioelectric Energy SourcesBiosensing TechniquesCarbohydratesEthanolSaccharomyces cerevisiaeCatalysisPrincipal Component AnalysisCarbohydratesEthanolcarbohydrateschemometricscommon dimension (ComDim)direct catalytic fuel cell (DCFC)qualitative analysis

Identifiers

PMID39996998

DOI10.3390/bios15020096

PMCPMC11853580

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.