Listar Departamento de Bromatología y Tecnología de los Alimentos por autor "476484aa-1a7f-4634-86ac-9625c95062b4"
Mostrando ítems 1-13 de 13
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An innovative non-targeted control system based on NIR spectral information for detecting non-compliant batches of sweet almonds
Vega-Castellote, Miguel; Sánchez, María-Teresa; Torres, Irina; Pérez-Marín, D.C. (Elsevier, 2021)Nowadays, there is growing awareness about the need to develop new methodologies to fight against deliberate fraud. This study explored the use of near infrared spectroscopy (NIRS) as an instantaneous, non-targeted method ... -
Assessment of watermelon maturity using portable new generation NIR spectrophotometers
Vega-Castellote, Miguel; Sánchez, María-Teresa; Torres, Irina; De la Haba, María-José; Pérez-Marín, D.C. (Elsevier, 2022)The non-destructive evaluation of internal maturity in watermelons, which are large fruits with a thick rind, during their development on the vine can be considered as a challenge for the growing sector. Near infrared ... -
Exploring the potential of NIRS technology for the in situ prediction of amygdalin content and classification by bitterness of in-shell and shelled intact almonds
Vega-Castellote, Miguel; Pérez-Marín, D.C.; Torres, Irina; Moreno-Rojas, José Manuel; Sánchez, María-Teresa (Elsevier, 2021)Amygdalin is a cyanogenic compound found in almonds which gives them their bitter taste. For the almond industry, it is important to prevent the presence of bitter almonds in batches of sweet almond that can affect their ... -
Fraud Detection in Batches of Sweet Almonds by Portable Near-Infrared Spectral Devices
Torres, Irina; Sánchez, María-Teresa; Vega-Castellote, Miguel; Pérez-Marín, D.C. (MDPI, 2021)One of the key challenges for the almond industry is how to detect the presence of bitter almonds in commercial batches of sweet almonds. The main aim of this research is to assess the potential of near-infrared spectroscopy ... -
Green, multivariate approach for obtaining a fingerprint of quality of watermelons at supermarket level using near infrared spectroscopy
Vega-Castellote, Miguel; Pérez-Marín, D.C.; Torres, Irina; Moreno-Rojas, José Manuel; Ordoñez-Díaz, José Luis; Sánchez, María-Teresa (Elsevier, 2023)Currently, one of the main demands of consumers - especially in large fruits such as watermelon - is for supermarkets to use techniques of non-invasive analysis to enable them to measure the sweetness of the fruits at the ... -
Hyperspectral Imaging for the Detection of Bitter Almonds in Sweet Almond Batches
Torres, Irina; Sánchez, María-Teresa; Entrenas, José A.; Vega-Castellote, Miguel; Garrido-Varo, Ana; Pérez-Marín, D.C. (MDPI, 2022)A common fraud in the sweet almond industry is the presence of bitter almonds in commercial batches. The presence of bitter almonds not only causes unpleasant flavours but also problems in the commercialisation and toxicity ... -
Mapping of fatty acids composition in shelled almonds analysed in bulk using a Hyperspectral Imaging system
Torres, Irina; Pérez-Marín, D.C.; Vega-Castellote, Miguel; Sánchez, María-Teresa (Elsevier, 2021)The determination of the fatty acid profile in food products is an important issue, as it serves as a guide to consumers who wish to follow healthy diets. Hyperspectral Imaging (HSI), permits rapid, non-destructive quality ... -
Near infrared light penetration in watermelon related to internal quality evaluation
Vega-Castellote, Miguel; Sánchez, María-Teresa; Wold, Jens Petter; Afseth, Nils Kristian; Pérez-Marín, D.C. (Elsevier, 2023)The interaction between near infrared (NIR) light and the sample is a key factor to take into consideration when developing applications using NIR spectroscopy. The aim of this study was to assess the penetration depth of ... -
NIR Sensing Technologies for the Detection of Fraud in Nuts and Nut Products: A Review
Vega-Castellote, Miguel; Sánchez, María-Teresa; Torres Rodríguez, Irina; Entrenas, José A.; Pérez-Marín, D.C. (MDPI, 2024)Food fraud is a major threat to the integrity of the nut supply chain. Strategies using a wide range of analytical techniques have been developed over the past few years to detect fraud and to assure the quality, safety, ... -
Non-destructive determination of fatty acid composition of in-shell and shelled almonds using handheld NIRS sensors
Vega-Castellote, Miguel; Pérez-Marín, D.C.; Torres, Irina; Sánchez, María-Teresa (Elsevier, 2021)One of the major compounds in almond kernels, which determines their nutritional quality, are lipids. The aim of this research was to determine the fatty acid profile in intact in-shell and shelled almonds (145 samples) ... -
Online NIRS analysis for the routine assessment of the nitrate content in spinach plants in the processing industry using linear and non-linear methods
Vega-Castellote, Miguel; Pérez-Marín, D.C.; Torres, Irina; Sánchez, María-Teresa (Elsevier, 2021)This study aimed to assess the robustness of the NIRS models developed following different strategies for the routine prediction of nitrate content in spinach plants using an online FT-NIR spectrophotometer. To achieve ... -
Pre-harvest screening on-vine of spinach quality and safety using NIRS technology
Pérez-Marín, D.C.; Torres, Irina; Entrenas, José A.; Vega-Castellote, Miguel; Sánchez, María-Teresa (Elsevier, 2019)The study sought to perform a non-destructive and in-situ quality evaluation of spinach plants using near infrared (NIR) spectroscopy in order to establish its suitability for different uses once harvested. Modified partial ... -
Routine NIRS analysis methodology to predict quality and safety indexes in spinach plants during their growing season in the field
Torres, Irina; Sánchez, María-Teresa; Vega-Castellote, Miguel; Luqui-Muñoz, Natividad; Pérez-Marín, D.C. (Elsevier, 2021)Cultural practices and harvesting in spinach plants should be based not only on subjective indexes such as freshness and green colour, which are both related with the visual appearance of the plants, but also on objective ...