Isabel Revilla Martín-rekin lankidetzan egindako argitalpenak (9)

2024

  1. The Potential Use of Near Infrared Spectroscopy (NIRS) to Determine the Heavy Metals and the Percentage of Blends in Tea

    Foods, Vol. 13, Núm. 3

2023

  1. Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology

    Sensors, Vol. 23, Núm. 3

2022

  1. Effects of the Replacement of Pork Backfat with High Oleic Sunflower Oil on the Quality of the “Chorizo Zamorano” Dry Fermented Sausage

    Foods, Vol. 11, Núm. 15

2021

  1. Carbon stable isotopes, fatty acids and the use of NIRS to differentiate IBERIAN pigs

    Meat Science, Vol. 182

  2. Prediction of stable isotopes and fatty acids in subcutaneous fat of Iberian pigs by means of NIR: A comparison between benchtop and portable systems

    Talanta, Vol. 224

2020

  1. Comparison of artificial neural networks and multiple regression tools applied to near infrared spectroscopy for predicting sensory properties of products from quality labels

    Microchemical Journal, Vol. 159

  2. Effects of rearing system (organic and conventional) and breed (Churra and Castellana) on fatty acid composition and sensory characteristics of suckling lamb meat produced in north-west Spain

    Biological Agriculture and Horticulture, pp. 1-15

  3. Nir spectroscopy for discriminating and predicting the sensory profile of dry-cured beef “cecina”

    Sensors (Switzerland), Vol. 20, Núm. 23, pp. 1-15

  4. Prediction of sensory parameters of cured ham: A study of the viability of the use of nir spectroscopy and artificial neural networks

    Sensors (Switzerland), Vol. 20, Núm. 19, pp. 1-19