Evidence map›Paper›PMID 42073172›Full record

ArticleFoods (Basel, Switzerland)2026

Effect of Temperature on the Drying Kinetics of Caturra Coffee: Correlation with Hyperspectral Imaging and Sensory Quality.

Frank Fernandez-Rosillo, Nestor A Sánchez-Goycochea, Cinthya Santa Cruz-López, Eliana Milagros Cabrejos-Barrios, Jorge Caucha-Iparraguirre, Flor Garcia-Carrión, Lenin Quiñones-Huatangari

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. 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.

Frank Fernandez-RosilloGrupo de Modelamiento y Simulación de Procesos en la Industria Alimentaria, Instituto de Investigación de Ciencia de Datos, Universidad Nacional de Jaén, Cajamarca 06800, Peru.ORCID 0000-0001-8776-2689
Nestor A Sánchez-GoycocheaCentro de Apoyo Logístico al Investigador, Universidad Tecnológica del Perú, Lambayeque 14000, Peru.ORCID 0000-0002-3235-3113
Cinthya Santa Cruz-LópezGrupo de Modelamiento y Simulación de Procesos en la Industria Alimentaria, Instituto de Investigación de Ciencia de Datos, Universidad Nacional de Jaén, Cajamarca 06800, Peru.ORCID 0000-0002-7352-058X
Eliana Milagros Cabrejos-BarriosGrupo de Modelamiento y Simulación de Procesos en la Industria Alimentaria, Instituto de Investigación de Ciencia de Datos, Universidad Nacional de Jaén, Cajamarca 06800, Peru.ORCID 0000-0002-3137-0974
Jorge Caucha-IparraguirreGrupo de Modelamiento y Simulación de Procesos en la Industria Alimentaria, Instituto de Investigación de Ciencia de Datos, Universidad Nacional de Jaén, Cajamarca 06800, Peru.
Flor Garcia-CarriónGrupo de Modelamiento y Simulación de Procesos en la Industria Alimentaria, Instituto de Investigación de Ciencia de Datos, Universidad Nacional de Jaén, Cajamarca 06800, Peru.ORCID 0000-0002-8183-4386
Lenin Quiñones-HuatangariFacultad de Ingeniería Zootecnista, Biotecnología, Agronegocios y Ciencia de Datos, Universidad Nacional Toribio Rodríguez de Mendoza, Amazonas 01001, Peru.ORCID 0000-0002-0953-328X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coffee processing requires continuous optimization to preserve sensory quality while improving process efficiency. Although hyperspectral imaging has been widely applied for food quality evaluation, its use for predicting coffee cup score during controlled drying remains limited. This study aimed to evaluate the effect of drying temperature on the drying kinetics of Caturra coffee and to develop a predictive model for cup score using hyperspectral imaging combined with Partial Least Squares Regression (PLSR). Coffee samples were dried at four constant temperatures (30, 40, 50, and 60 °C) in forced-convection ovens, and hyperspectral reflectance images (400-1000 nm) were acquired using a Specim FX10 camera. Sensory evaluation was conducted by six certified Q Arabica Graders. Drying times were 52, 34, 30, and 20 h at 30, 40, 50, and 60 °C, respectively, with corresponding cup scores of 83.21, 83.50, 83.60, and 83.26 points. Effective moisture diffusivity ranged from 10-13 to 10-12 m

Indexed as

Arrhenius modelBiot numberCaturra coffeesensory evaluation

Identifiers

PMID42073172
PMCPMC13115236

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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.