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Dive into the research topics where Belén Diezma is active.

Publication


Featured researches published by Belén Diezma.


Journal of Near Infrared Spectroscopy | 2015

Detection and Quantification of Peanut Traces in Wheat Flour by near Infrared Hyperspectral Imaging Spectroscopy Using Principal-Component Analysis:

Puneet Mishra; Ana Herrero-Langreo; Pilar Barreiro; Jean Michel Roger; Belén Diezma; Nathalie Gorretta; Lourdes Lleó

The use of a common environment for processing different powder foods in the industry has increased the risk of finding peanut traces in powder foods. The analytical methods commonly used for detection of peanut such as enzyme-linked immunosorbent assay (ELISA) and real-time polymerase chain reaction (RT-PCR) represent high specificity and sensitivity but are destructive and time-consuming, and require highly skilled experimenters. The feasibility of NIR hyperspectral imaging (HSI) is studied for the detection of peanut traces down to 0.01% by weight. A principal-component analysis (PCA) was carried out on a dataset of peanut and flour spectra. The obtained loadings were applied to the HSI images of adulterated wheat flour samples with peanut traces. As a result, HSI images were reduced to score images with enhanced contrast between peanut and flour particles. Finally, a threshold was fixed in score images to obtain a binary classification image, and the percentage of peanut adulteration was compared with the percentage of pixels identified as peanut particles. This study allowed the detection of traces of peanut down to 0.01% and quantification of peanut adulteration from 10% to 0.1% with a coefficient of determination (r2) of 0.946. These results show the feasibility of using HSI systems for the detection of peanut traces in conjunction with chemical procedures, such as RT-PCR and ELISA to facilitate enhanced quality-control surveillance on food-product processing lines.


Yeast | 2014

Quantitative analysis of morphological changes in yeast colonies growing on solid medium: the eccentricity and Fourier indices

Elena Gil de Prado; Eva-María Rivas; María-Isabel de Silóniz; Belén Diezma; Pilar Barreiro; José M. Peinado

The colony shape of four yeast species growing on agar medium was measured for 116 days by image analysis. Initially, all the colonies are circular, with regular edges. The loss of circularity can be quantitatively estimated by the eccentricity index, Ei, calculated as the ratio between their orthogonal vertical and horizontal diameters. Ei can increase from 1 (complete circularity) to a maximum of 1.17–1.30, depending on the species. One colony inhibits its neighbour only when it has reached a threshold area. Then, Ei of the inhibited colony increases proportionally to the area of the inhibitory colony. The initial distance between colonies affects those threshold values but not the proportionality, Ei/area; this inhibition affects the shape but not the total surface of the colony. The appearance of irregularities in the edges is associated, in all the species, not with age but with nutrient exhaustion. The edge irregularity can be quantified by the Fourier index, Fi, calculated by the minimum number of Fourier coefficients that are needed to describe the colony contour with 99% fitness. An ad hoc function has been developed in Matlab v. 7.0 to automate the computation of the Fourier coefficients. In young colonies, Fi has a value between 2 (circumference) and 3 (ellipse). These values are maintained in mature colonies of Debaryomyces, but can reach values up to 14 in Saccharomyces. All the species studied showed the inhibition of growth in facing colony edges, but only three species showed edge irregularities associated with substrate exhaustion. Copyright


Computers and Electronics in Agriculture | 2010

Review: Sensors for product characterization and quality of specialty crops-A review

M. Ruiz-Altisent; Luis Ruiz-Garcia; G.P. Moreda; Renfu Lu; N. Hernandez-Sanchez; E.C. Correa; Belén Diezma; Bart Nicolai; J. García-Ramos


Postharvest Biology and Technology | 2011

A multispectral vision system to evaluate enzymatic browning in fresh-cut apple slices

Loredana Lunadei; Pamela Galleguillos; Belén Diezma; Lourdes Lleó; Luis Ruiz-Garcia


Postharvest Biology and Technology | 2013

Examination of the quality of spinach leaves using hyperspectral imaging

Belén Diezma; Lourdes Lleó; Jean Michel Roger; Ana Herrero-Langreo; Loredana Lunadei; M. Ruiz-Altisent


Postharvest Biology and Technology | 2012

Monitoring of fresh-cut spinach leaves through a multispectral vision system

Loredana Lunadei; Belén Diezma; Lourdes Lleó; Luis Ruiz-Garcia; Susana Cantalapiedra; M. Ruiz-Altisent


Journal of Food Engineering | 2016

Application of independent components analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration

Puneet Mishra; Christophe B.Y. Cordella; Douglas N. Rutledge; Pilar Barreiro; Jean Michel Roger; Belén Diezma


Food and Bioprocess Technology | 2014

The Phase Space as a New Representation of the Dynamical Behaviour of Temperature and Enthalpy in a Reefer monitored with a Multidistributed Sensors Network

T. Jiménez-Ariza; Eva Cristina Correa; Belén Diezma; A. C. Silveira; P. Zócalo; F. J. Arranz; A. Moya-González; M. Garrido-Izard; Pilar Barreiro; M. Ruiz-Altisent


Food and Bioprocess Technology | 2014

Advanced Characterisation of a Coffee Fermenting Tank by Multi-distributed Wireless Sensors: Spatial Interpolation and Phase Space Graphs

Eva Cristina Correa; T. Jiménez-Ariza; V. Díaz-Barcos; Pilar Barreiro; Belén Diezma; R. Oteros; C. Echeverri; F. J. Arranz; M. Ruiz-Altisent


Computers and Electronics in Agriculture | 2011

Development of model based sensors for the supervision of a solar dryer

Eva C. Correa-Hernando; F. J. Arranz; Belén Diezma; E. Juliá; José I. Robla; Luis Ruiz-Garcia; Javier Garcia-Hierro; Pilar Barreiro

Collaboration


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Pilar Barreiro

Technical University of Madrid

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Lourdes Lleó

Technical University of Madrid

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Eva Cristina Correa

Technical University of Madrid

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F. J. Arranz

Technical University of Madrid

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M. Ruiz-Altisent

Technical University of Madrid

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Javier Garcia-Hierro

Spanish National Research Council

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José I. Robla

Spanish National Research Council

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Luis Ruiz-Garcia

Technical University of Madrid

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