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IVÁN MARTÍNEZ MARTÍN
IVÁN MARTÍNEZ MARTÍN
Profesor Asociado Tecnología de los Alimentos, Universidad Salamanca
Verified email at usal.es
Title
Cited by
Cited by
Year
Comparison of artificial neural networks and multiple regression tools applied to near infrared spectroscopy for predicting sensory properties of products from quality labels
M Hernandez-Jimenez, P Hernandez-Ramos, I Martínez-Martín, ...
Microchemical Journal 159, 105459, 2020
162020
Prediction of Sensory Parameters of Cured Ham: A Study of the Viability of the Use of NIR Spectroscopy and Artificial Neural Networks
P Hernández-Ramos, AM Vivar-Quintana, I Revilla, MI González-Martín, ...
Sensors 20 (19), 5624, 2020
152020
Prediction of stable isotopes and fatty acids in subcutaneous fat of Iberian pigs by means of NIR: A comparison between benchtop and portable systems
MI González-Martín, O Escuredo, M Hernández-Jiménez, I Revilla, ...
Talanta 224, 121817, 2021
132021
Carbon stable isotopes, fatty acids and the use of NIRS to differentiate IBERIAN pigs
M Hernández-Jiménez, MI González-Martín, I Martínez-Martín, I Revilla, ...
Meat Science 182, 108619, 2021
82021
NIR spectroscopy for discriminating and predicting the sensory profile of dry-cured beef “Cecina”
I Revilla, AM Vivar-Quintana, MI González-Martín, M Hernández-Jiménez, ...
Sensors 20 (23), 6892, 2020
82020
Prediction of mineral composition in wheat flours fortified with lentil flour using NIR technology
I Martínez-Martín, M Hernández-Jiménez, I Revilla, AM Vivar-Quintana
Sensors 23 (3), 1491, 2023
62023
Effects of the Replacement of Pork Backfat with High Oleic Sunflower Oil on the Quality of the “Chorizo Zamorano” Dry Fermented Sausage
M Hernández-Jiménez, I Martínez-Martín, AM Vivar-Quintana, I Revilla
Foods 11 (15), 2313, 2022
12022
The Potential Use of Near Infrared Spectroscopy (NIRS) to Determine the Heavy Metals and the Percentage of Blends in Tea
I Revilla, M Hernández Jiménez, I Martínez-Martín, P Valderrama, ...
Foods 13 (3), 450, 2024
2024
Cuestionarios y encuesta generados en el desarrollo del proyecto" Desarrollo sostenible: cómo la ingeniería lo hace posible"(ID2022/019)
AB Ramos-Gavilán, MN Antón Iglesias, M Domínguez-Lorenzo, ...
2023
NIRS and artificial neuronal network to discriminate Iberian dry ham DO “Jamón de Guijuelo”
P Hernández Ramos, I Martínez Martín, M Hernández Jiménez, ...
2019
Validation of a sensory panel for “Jamón de Guijuelo” PDO cured-ham qualification
I Revilla Martín, I Martínez Martín, AM Vivar Quintana, MI González Martín, ...
2019
Estudio de la viabilidad del uso de redes neuronales artificiales, como herramienta para la predicción de parámetros sensoriales a partir de datos NIRs en jamon curado
P Hernández Ramos, I Revilla Martín, MI González Martín, ...
2019
Study of the feasibility of using Near Infrared Spectroscopy and Neural Networks for predicting Iberico dry cured ham sensory attributes
I Revilla Martín, P Hernández Ramos, MI González Martín, ...
2019
Application of NIS Spectroscopy in Classification of the Iberian pig
I Martínez Martín, M Hernández Jiménez, I Revilla Martín, ...
2019
Influence of sampling procedure and presentation on the sensory parameters of spanish dry-cured ham
I Revilla Martín, AM Vivar Quintana, MI González Martín, I Martínez Martín
2018
Study of the correlations between different sampling points in Spanish dry-cured hams using sensory parameters and NIRS
I Revilla, MI González Martín, AM Vivar Quintana, I Martínez Martín
2018
Prediction of the sensory attributes of Spanish iberian dry-cured ham using NIRS
MI González Martín, I Revilla, AM Vivar Quintana, I Martínez Martín, ...
2018
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