Evidence map›Paper›PMID 37836721›Full record

ArticleMolecules (Basel, Switzerland)2023

FT-MIR-ATR Associated with Chemometrics Methods: A Preliminary Analysis of Deterioration State of Brazil Nut Oil.

Braian Saimon Frota da Silva, Nelson Rosa Ferreira, Priscila Domingues Alamar, Thiago de Melo E Silva, Wandson Braamcamp de Souza Pinheiro, Lucely Nogueira Dos Santos, Cláudio Nahum Alves

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. 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
0.6field-weighted citation impact, top 38% of its field
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, 4 citations in OpenAlex.

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 at 1 institution in 1 country.

Braian Saimon Frota da SilvaGraduate Program in Chemistry, Federal University of Pará (PPGQ), Belém 66075-110, Brazil.ORCID 0000-0001-9863-7672
Nelson Rosa FerreiraFaculty of Food Engineering, Institute of Technology, Federal University of Pará (UFPA), Belém 66075-110, Brazil.ORCID 0000-0001-6821-6199
Priscila Domingues AlamarLaboratory of Biotechnological Processes (LABIOTEC), Graduate Program in Food Science and Technology (PPGCTA), Institute of Technology (ITEC), Federal University of Pará (UFPA), Belém 66075-110, Brazil.ORCID 0000-0001-7465-4769
Thiago de Melo E SilvaGraduate Program in Chemistry, Federal University of Pará (PPGQ), Belém 66075-110, Brazil.ORCID 0000-0003-1796-5215
Wandson Braamcamp de Souza PinheiroGraduate Program in Chemistry, Federal University of Pará (PPGQ), Belém 66075-110, Brazil.ORCID 0000-0003-2977-8863
Lucely Nogueira Dos SantosLaboratory of Biotechnological Processes (LABIOTEC), Graduate Program in Food Science and Technology (PPGCTA), Institute of Technology (ITEC), Federal University of Pará (UFPA), Belém 66075-110, Brazil.ORCID 0000-0002-0945-4995
Cláudio Nahum AlvesGraduate Program in Chemistry, Federal University of Pará (PPGQ), Belém 66075-110, Brazil.ORCID 0000-0001-6576-4229
Universidade Federal do Pará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brazil nut oil is highly valued in the food, cosmetic, chemical, and pharmaceutical industries, as well as other sectors of the economy. This work aims to use the Fourier transform infrared (FTIR) technique associated with partial least squares regression (PLSR) and principal component analysis (PCA) to demonstrate that these methods can be used in a prior and rapid analysis in quality control. Natural oils were extracted and stored for chemical analysis. PCA presented two groups regarding the state of degradation, subdivided into super-degraded and partially degraded groups in 99.88% of the explained variance. The applied PLS reported an acidity index (AI) prediction model with root mean square error of calibration (RMSEC) = 1.8564, root mean square error of cross-validation (REMSECV) = 4.2641, root mean square error of prediction (RMSEP) = 2.1491, R

Indexed as

BertholletiaChemometricsLeast-Squares AnalysisPeroxidesPlant OilsSpectroscopy, Fourier Transform InfraredPeroxidesPlant Oilsacidity indexBrazil nutseconomic sectorsFT-MIR-ATRPCAperoxide indexPLSRvegetable oil

Identifiers

PMID37836721
PMCPMC10574611
OpenAlexW4387259424

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.