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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 ...
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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 ...
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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 ...
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Characterizing and Authenticating Montilla-Moriles PDO Vinegars Using Near Infrared Reflectance Spectroscopy (NIRS) Technology 

De la Haba, María-José; Arias, Mar; Ramírez, Pilar; Sánchez, María-Teresa; López, María Isabel (MDPI, 2014)
This study assessed the potential of near infrared (NIR) spectroscopy as a non-destructive method for characterizing Protected Designation of Origin (PDO) “Vinagres de Montilla-Moriles” wine vinegars and for classifying ...
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Monitoring texture and other quality parameters in spinach plants using NIR spectroscopy 

Sánchez, María-Teresa; Entrenas, José A.; Torres, Irina; Vega, Miguel; Pérez-Marín, D.C. (Elsevier, 2018)
Green colour, texture and dry matter are important attributes to appreciate freshness and quality in spinach. However, there is currently no fast, economical and non-destructive method which allows producers to measure ...
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Investigating the detection of peanuts in chopped nut products using hyperspectral imaging systems 

Vega-Castellote, Miguel; Sánchez, María-Teresa; Kim, Moon S.; Hwang, Chansong; Pérez-Marín, D.C. (Elsevier, 2024)
The intentional presence or cross-contamination of peanuts in other nut products can result in severe health problems for consumers allergic to peanuts. It is therefore essential to identify the presence of these allergenic ...
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Enhancing virgin olive oil authentication with Bayesian probabilistic models and near infrared spectroscopy 

Garrido-Cuevas, María del Mar; Garrido-Varo, Ana; Marini, Federico; Sánchez, María-Teresa; Pérez-Marín, D.C. (Elsevier, 2024)
Ensuring the authenticity of Extra Virgin olive oils is crucial due to the high risk of fraudulent practices associated with this valuable product. Traditional methods rely on physicochemical and organoleptic analyses, ...
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In-house validation of a visible and near infrared spectroscopy non-targeted method to support panel test of virgin olive oils 

Garrido-Cuevas, María del Mar; Garrido-Varo, Ana; Oliveri, Pablo; Sánchez, María-Teresa; Pérez-Marín, D.C. (Elsevier, 2024)
In this study, an in-house validation of Visible and Near Infrared Spectroscopy was performed to distinguish between extra virgin olive oil (EVOO) and virgin olive oil (VOO). A total of 161 samples of olive oil of three ...
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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 ...
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Texture Prediction in Intact Green Asparagus by Near Infrared (NIR) Spectroscopy, Assaying Linear and Non-linear Regression Strategies 

De la Haba, María-José; Pérez-Marín, D.C.; Rial-Huerta, D.; Sánchez, María-Teresa (Springer, 2014)
Texture-related parameters were assessed in intact green asparagus at harvest and during postharvest storage using near-infrared spectroscopy combined with MPLS and LOCAL algorithms. Three spectrophotometers were evaluated ...
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Sánchez, María-Teresa (42)
Pérez-Marín, D.C. (37)Torres, Irina (26)De la Haba, María-José (14)Vega-Castellote, Miguel (13)Garrido-Varo, Ana (11)Entrenas, José A. (8)Garrido-Cuevas, María del Mar (3)476484aa-1a7f-4634-86ac-9625c95062b4 (2)5252c962-bad1-4e83-bf41-05a91def01ab (2)... View MoreSubjectNIR spectroscopy (10)In situ analysis (5)LOCAL algorithm (4)MPLS regression (4)Near-infrared spectroscopy (4)Quality (4)Hyperspectral imaging (3)MEMS technology (3)Orange (3)Portable NIR sensor (3)... View MoreDate Issued2020 - 2025 (23)2013 - 2019 (21)

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