Evidence map›Paper›PMID 40663285›Full record

ArticlePlant foods for human nutrition (Dordrecht, Netherlands)2025

Color Dynamics, Pigments and Antioxidant Capacity in Pouteria sapota Puree During Frozen Storage: A Correlation Study Using CIELAB Color Space and Machine Learning Models.

José Antonio Sánchez-Franco, Nelly Del Socorro Cruz-Cansino, Quinatzin Yadira Zafra-Rojas, Daniel Ayala-Niño, Alexis Ayala-Niño

Abstract read
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In one paragraph

Article in Plant foods for human nutrition (Dordrecht, Netherlands), 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.

José Antonio Sánchez-FrancoUniversidad Autónoma del Estado de México, Unidad Académica Profesional Acolman, Área Académica de Nutrición, Acolman, Estado de México, 55887, Mexico.ORCID http://orcid.org/0000-0003-3072-2787
Nelly Del Socorro Cruz-CansinoInstituto de Ciencias de la Salud, Universidad Autónoma del Estado de Hidalgo, Área Académica de Nutrición, Ex-Circuito Hacienda la Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca, Hidalgo, C.P. 42160, Mexico.ORCID http://orcid.org/0000-0002-6771-3684
Quinatzin Yadira Zafra-RojasInstituto de Ciencias de la Salud, Universidad Autónoma del Estado de Hidalgo, Área Académica de Nutrición, Ex-Circuito Hacienda la Concepción S/N, Carretera Pachuca-Actopan, San Agustín Tlaxiaca, Hidalgo, C.P. 42160, Mexico.ORCID http://orcid.org/0000-0002-5295-9972
Daniel Ayala-NiñoColegio de Postgraduados, Montecillo Texcoco, Estado de México, 56230, Mexico.ORCID http://orcid.org/0000-0002-1032-7037
Alexis Ayala-NiñoUniversidad Autónoma del Estado de México, Unidad Académica Profesional Acolman, Área Académica de Nutrición, Acolman, Estado de México, 55887, Mexico. aayalan@uaemex.mx.ORCID http://orcid.org/0000-0002-9232-1906

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate prediction of bioactive compounds and antioxidant activity in food matrices is critical for optimizing nutritional quality and industrial applications. This study compares the performance of multiple linear regression (MLR) and artificial neural networks (ANN) in predicting antioxidant activity (DPPH, ABTS), total carotenoids, and anthocyanins in mamey pulp, using color variables (CIELab) as predictors. Our results demonstrate that ANN models consistently outperform MLR, achieving lower mean squared error (MSE) and mean absolute error (MAE), alongside higher coefficients of determination (R

Indexed as

AntioxidantsFood StorageMachine LearningPigments, BiologicalAnthocyaninsCarotenoidsColorFreezingFruitLinear ModelsNeural Networks, ComputerAnthocyaninsAntioxidantsCarotenoidsPigments, BiologicalArtificial neural networksBioactive compoundsCIELAB color spaceFrozen storageMultiple linear regression modelPouteria sapota

Identifiers

PMID40663285

What OpenQuestion holds

Textmetadata
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.