Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ester González-Flores"'
Autor:
Ester González-Flores, John C. Cancilla, Manuel Izquierdo, José S. Torrecilla, Miguel Lastra-Mejías, Anastasiia Semenikhina
Publikováno v:
Food Control. 118:107428
In this work, intelligent algorithms and fluorescent measurements have been integrated into a portable system to evaluate the storage conditions and detect adulterations of wines such as water and ethanol. More than 700 spectra derived from the analy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1322d3b72f44fad1f0a0888467316d33
https://doi.org/10.1016/j.foodcont.2020.107428
https://doi.org/10.1016/j.foodcont.2020.107428
Autor:
Ester González-Flores, Miguel Lastra-Mejías, Manuel Izquierdo, John C. Cancilla, Sandra Pradana-López, José S. Torrecilla
Publikováno v:
Food Control. 110:106971
In this research, more than 27,000 images (samples) of five different types of rice (Oryza sativa L.) have been used to design and validate a deep learning-based system to carry out their classification. A typical photographic camera was used to obta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2018d6d06c576f5ef3012a6cab9b8e3
https://doi.org/10.1016/j.foodcont.2019.106971
https://doi.org/10.1016/j.foodcont.2019.106971
Autor:
Manuel Izquierdo, Regina Aroca-Santos, Miguel Lastra-Mejías, Ester González-Flores, José S. Torrecilla, John C. Cancilla
Publikováno v:
Computers and Electronics in Agriculture. 171:105290
A new and reliable method to detect adulterations is presented in this work by comparing the thermal evolution of pure and adulterated extra virgin olive oil (EVOO) during its cooling process. For this purpose, algorithms based on convolutional neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2094001553de907fc9e71c96a78141f
https://doi.org/10.1016/j.compag.2020.105290
https://doi.org/10.1016/j.compag.2020.105290
Autor:
Miguel Lastra-Mejías, José S. Torrecilla, Manuel Izquierdo, J. G. Izquierdo, Ester González-Flores, John C. Cancilla
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 199:103939
Given that honey is among the top ten foods with the highest adulteration rate in the European Union, in this research, a tool has been developed to tackle this malpractice. The combination of laser-induced breakdown spectroscopy (LIBS) and chaotic p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05886f7977c64c646f77c972a71a4d0c
https://doi.org/10.1016/j.chemolab.2020.103939
https://doi.org/10.1016/j.chemolab.2020.103939
Autor:
Manuel Izquierdo, Ester González-Flores, Miriam Pérez, José S. Torrecilla, Miguel Lastra-Mejías, John C. Cancilla
Publikováno v:
Talanta. 209:120500
In this research, 56 samples of pure honey have been mixed with different concentrations of rice syrup simulating a set of adulterated samples. A thermographic camera was used to extract data regarding the thermal development of the honey. The result
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9778bdf10bf1dd4025f4bc92b79f1b11
https://doi.org/10.1016/j.talanta.2019.120500
https://doi.org/10.1016/j.talanta.2019.120500