Evidence map›Paper›PMID 39124967›Full record

ArticleMolecules (Basel, Switzerland)2024

QCL Infrared Spectroscopy Combined with Machine Learning as a Useful Tool for Classifying Acetaminophen Tablets by Brand.

José A Martínez-Trespalacios, Daniel E Polo-Herrera, Tamara Y Félix-Massa, Samuel P Hernandez-Rivera, Joaquín Hernandez-Fernandez, Fredy Colpas-Castillo, John R Castro-Suarez

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. 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

7 authors.

José A Martínez-TrespalaciosMechanical Engineering Program, School of Engineering, Universidad Tecnológica de Bolívar, Parque Industrial y Tecnológico Carlos Vélez Pombo, Cartagena 130001, Colombia.ORCID 0000-0003-1230-4119
Daniel E Polo-HerreraChemistry Program, Department of Natural and Exact Sciences, San Pablo Campus, University of Cartagena, Cartagena 130015, Colombia.
Tamara Y Félix-MassaCenter for Chemical Sensors and Chemical Imaging and Surface Analysis Center, Department of Chemistry, University of Puerto Rico, Mayaguez, PR 00681, USA.
Samuel P Hernandez-RiveraCenter for Chemical Sensors and Chemical Imaging and Surface Analysis Center, Department of Chemistry, University of Puerto Rico, Mayaguez, PR 00681, USA.ORCID 0000-0003-2536-6693
Joaquín Hernandez-FernandezMechanical Engineering Program, School of Engineering, Universidad Tecnológica de Bolívar, Parque Industrial y Tecnológico Carlos Vélez Pombo, Cartagena 130001, Colombia.ORCID 0000-0002-2330-8580
Fredy Colpas-CastilloChemistry Program, Department of Natural and Exact Sciences, San Pablo Campus, University of Cartagena, Cartagena 130015, Colombia.
John R Castro-SuarezÁrea Básicas Exactas, Universidad del Sinú, Seccional Cartagena, Cartagena 130015, Colombia.ORCID 0000-0003-3210-1167

Funding

United States Department of Agriculture 2022-77040-37623United States Department of Homeland Security 21-CWDARI 00042-01-00United States Department of Homeland Security 22STESE00001-02-00
6 · The paper itself

Abstract

The development of new methods of identification of active pharmaceutical ingredients (API) is a subject of paramount importance for research centers, the pharmaceutical industry, and law enforcement agencies. Here, a system for identifying and classifying pharmaceutical tablets containing acetaminophen (AAP) by brand has been developed. In total, 15 tablets of 11 brands for a total of 165 samples were analyzed. Mid-infrared vibrational spectroscopy with multivariate analysis was employed. Quantum cascade lasers (QCLs) were used as mid-infrared sources. IR spectra in the spectral range 980-1600 cm

Indexed as

AcetaminophenMachine LearningPrincipal Component AnalysisSpectrophotometry, InfraredTabletsAlgorithmsNeural Networks, ComputerSupport Vector MachineAcetaminophenTabletschemometricscounterfeit drugsmachine learningmid-infraredvibrational spectroscopy

Identifiers

PMID39124967
PMCPMC11313707

What Socratic 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 Socratic graph.