Evidence map›Paper›PMID 38794063›Full record

ArticleSensors (Basel, Switzerland)2024

Improvement of Qualitative Analyses of Aliphatic Alcohols Using Direct Catalytic Fuel Cell and Chemometric Analysis Format.

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

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 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
Riccardo PezzilliDepartment of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.
Mauro CastrucciDepartment of Chemistry, University of Rome, "La Sapienza", P.le A. Moro 5, 00185 Rome, Italy.
Corrado Di NataleDepartment of Electronic Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0002-0543-4348
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

Direct catalytic methanol fuel cells (DCMFCs) have been studied for several years for energy conversion. Less extensive is the investigation of their analytical properties. In this paper, we demonstrate that the behavior of both the discharge and charger curves of DCMFCs depends on the chemical composition of the solution injected in the fuel cell. Their discharge and charge curves, analyzed using a chemometric data fusion method named ComDim, enable the identification of various types of aliphatic alcohols diluted in water. The results also show that the identification of alcohols can be obtained from the first portion of the discharge and charge curves. To this end, the curves have been described by a set of features related to the slope and intercept of the initial portion of the curves. The ComDim analysis of this set of features shows that the identification of alcohols can be obtained in a time that is about thirty times shorter than the time taken to achieve steady-state voltage.

Indexed as

aliphatic alcoholschemometricsdata fusion methodsdirect catalytic methanol fuel cellqualitative–quantitative analysis

Identifiers

PMID38794063
PMCPMC11124824

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.