Publicaciones Google Scholar de
1980 a
2025
| Título |
Fuente |
Fecha |
| AI-Powered Computer Vision for Detecting Gluten in Gluten-Free Beer |
Food Control, 111557 , 2025 |
2025 |
| Intelligent thermography for detecting melamine adulteration in powdered milk |
Food Control, 111575 , 2025 |
2025 |
| Real-Time Screening of Melamine in Coffee Capsules Using Infrared Thermography and Deep Learning |
Journal of Food Engineering, 112675 , 2025 |
2025 |
| Application of residual neural networks to detect and quantify milk adulterations |
Journal of Food Composition and Analysis 122, 105427 , 2023 |
2023 |
| Deep quantification of a refined adulterant blended into pure avocado oil |
Food chemistry 404, 134474 , 2023 |
2023 |
| Residual neural networks to quantify traces of melamine in yogurts through image deconvolution |
Journal of Food Composition and Analysis 118, 105197 , 2023 |
2023 |
| Appendix A. Supplementary data for Is my food safe?–AI-based classification of lentil flour samples with trace levels of gluten or nuts |
Elsevier , 2022 |
2022 |
| Appendix A. Supplementary data: Single-digit ppm quantification of melamine in powdered milk driven by computer vision |
Elsevier , 2022 |
2022 |
| Is my food safe?–AI-based classification of lentil flour samples with trace levels of gluten or nuts |
Food Chemistry 386, 132832 , 2022 |
2022 |
| Intelligent photo processing to detect food adulterations |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2022 |
2022 |
| Distinct thermal patterns to detect and quantify trace levels of wheat flour mixed into ground chickpeas |
Food Chemistry 384, 132468 , 2022 |
2022 |
| Single-digit ppm quantification of melamine in powdered milk driven by computer vision |
Food Control 131, 108424 , 2022 |
2022 |
| Convolutional capture of the expansion of extra virgin olive oil droplets to quantify adulteration |
Food Chemistry 368, 130765 , 2022 |
2022 |
| Standard photographs convolutionally processed to indirectly detect gluten in chickpea flour |
Journal of Food Composition and Analysis 110, 104547 , 2022 |
2022 |
| Deep transfer learning to verify quality and safety of ground coffee |
Food Control 122, 107801 , 2021 |
2021 |
| Service-learning-Diagnostic technologies presented by Ph. D. students to help socially neglected people during the SARS-CoV-2 pandemic |
7th International Conference on Higher Education Advances (HEAd'21), 1141-1147 , 2021 |
2021 |
| Learning by playing via survey platforms to comprehend environmental management |
Journal of Higher Education Theory and Practice 21 (8), 237-243 , 2021 |
2021 |
| Spectroscopy to evaluate the quality control of extra-virgin olive oils |
Olives and Olive Oil in Health and Disease Prevention, 91-97 , 2021 |
2021 |
| Phenolic compounds in olive oil mill wastewater |
Olives and olive oil in health and disease prevention, 693-700 , 2021 |
2021 |
| Influence of the distribution chain on the quality of extra virgin olive oils |
Olives and Olive Oil in Health and Disease Prevention, 85-90 , 2021 |
2021 |
| Thinking-based learning at higher education levels: Implementation and outcomes within a chemical engineering class |
Journal of Chemical Education 98 (3), 774-781 , 2021 |
2021 |
| Thermal imaging of rice grains and flours to design convolutional systems to ensure quality and safety |
Food Control 121, 107572 , 2021 |
2021 |
| Detection of adulterations of extra-virgin olive oil by means of infrared thermography |
Olives and Olive Oil in Health and Disease Prevention, 79-84 , 2021 |
2021 |
| Low requirement imaging enables sensitive and robust rice adulteration quantification via transfer learning |
Food Control 127, 108122 , 2021 |
2021 |
| Profiles of volatile biomarkers detect tuberculosis from skin |
Advanced science 8 (15), 2100235 , 2021 |
2021 |
| Cognitive chaos on spectrofluorometric data to quantitatively unmask adulterations of a PDO vinegar |
Food Control 108, 106860 , 2020 |
2020 |
| Artificial intelligence in chemistry |
Frontiers in Chemistry 8, 275 , 2020 |
2020 |
| Convolutional decoding of thermographic images to locate and quantify honey adulterations |
Talanta 209, 120500 , 2020 |
2020 |
| Exposing adulteration of Muscatel wines and assessing its distribution chain with fluorescence via intelligent and chaotic networks |
Food Control 118, 107428 , 2020 |
2020 |
| Visible imaging to convolutionally discern and authenticate varieties of rice and their derived flours |
Food Control 110, 106971 , 2020 |
2020 |
| Machine learning and feature selection applied to SEER data to reliably assess thyroid cancer prognosis |
Scientific reports 10 (1), 5176 , 2020 |
2020 |
| Service-Learning at the Postgraduate Level to Reach Depressed Sectors of Society |
Journal of Higher Education Theory and Practice 20 (9), 54-59 , 2020 |
2020 |
| Profiles of Volatile Biomarkers Detect Tuberculosis from Skin |
|
2020 |
| Service-learning by PhD students to aid socially neglected people |
Editorial Universitat Politècnica de València , 2020 |
2020 |
| Honey exposed to laser-induced breakdown spectroscopy for chaos-based botanical classification and fraud assessment |
Chemometrics and Intelligent Laboratory Systems 199, 103939 , 2020 |
2020 |
| Deep thermal imaging to compute the adulteration state of extra virgin olive oil |
Computers and Electronics in Agriculture 171, 105290 , 2020 |
2020 |
| Cognitive fluorescence sensing to monitor the storage conditions and locate adulterations of extra virgin olive oil |
Food Control 103, 48-58 , 2019 |
2019 |
| Food in the fight against cardiovascular disease |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2019 |
2019 |
| Linear and non-linear quantification of extra virgin olive oil, soybean oil, and sweet almond oil in blends to assess their commercial labels |
Journal of Food Composition and Analysis 75, 70-74 , 2019 |
2019 |
| Intelligent real-time quantification of cheese whey in rivers and reservoirs in Madrid (Spain) |
Sensors and Actuators B: Chemical 298, 126895 , 2019 |
2019 |
| Laser diode induced excitation of PDO extra virgin olive oils for cognitive authentication and fraud detection |
Sensors and Actuators B: Chemical 280, 1-9 , 2019 |
2019 |
| Chaotic parameters from fluorescence spectra to resolve fraudulent mixtures of fresh and expired protected designation of origin extra virgin olive oils |
Talanta 195, 1-7 , 2019 |
2019 |
| Combination of LEDs and cognitive modeling to quantify sheep cheese whey in watercourses |
Talanta 203, 290-296 , 2019 |
2019 |
| Laser sensors in food quality control in Andalucia |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2019 |
2019 |
| On-site images taken and processed to classify olives according to quality–The foundation of a high-grade olive oil |
Postharvest Biology and Technology 140, 60-66 , 2018 |
2018 |
| Characterization of an array of honeys of different types and botanical origins through fluorescence emission based on LEDs |
Talanta 185, 196-202 , 2018 |
2018 |
| University students developing imaginative problem solving skills—the case of food engineering |
Editorial Universitat Politècnica de València , 2018 |
2018 |
| Aplication of LED technology for food quality control |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2018 |
2018 |
| Intelligent modelling to monitor the evolution of quality of extra virgin olive oil in simulated distribution conditions |
Biosystems engineering 172, 49-56 , 2018 |
2018 |
| Chaotic parameters extracted from fluorescence spectra to quantify sheep cheese whey in natural bodies of water |
Talanta 190, 269-277 , 2018 |
2018 |
| Cancer metabolism: the volatile signature of glycolysis—in vitro model in lung cancer cells |
Journal of breath research 11 (1), 016008 , 2017 |
2017 |
| Exhaled breath markers for nonimaging and noninvasive measures for detection of multiple sclerosis |
ACS Chemical Neuroscience 8 (11), 2402-2413 , 2017 |
2017 |
| Determination of adulteration of extra-virgin olive oil |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2017 |
2017 |
| Highly sensitive ambipolar field effect transistor-based diketopyrrolopyrrole copolymer for selective detection and discrimination of xylene isomers |
Adv. Mater 28, 4012-4018 , 2016 |
2016 |
| A highly sensitive diketopyrrolopyrrole-based ambipolar transistor for selective detection and discrimination of xylene isomers |
Advanced Materials , 2016 |
2016 |
| Algorithmic modeling of spectroscopic data to quantify binary mixtures of vinegars of different botanical origins |
Analytical Methods 8 (13), 2786-2793 , 2016 |
2016 |
| Neural networks to estimate physicochemical properties of choline carboxylate ionic liquids |
ACS Sustainable Chemistry & Engineering 4 (2), 536-540 , 2016 |
2016 |
| Programmed nanoparticles for tailoring the detection of inflammatory bowel diseases and irritable bowel syndrome disease via breathprint |
Advanced Healthcare Materials 5 (18), 2339-2344 , 2016 |
2016 |
| Silicon Nanowire Sensors Enable Diagnosis of Patients via Exhaled Breath |
ACS nano 10 (7), 7047-7057 , 2016 |
2016 |
| Linear and non-linear modeling to identify vinegars in blends through spectroscopic data |
LWT 65, 565-571 , 2016 |
2016 |
| A method to detect fraudulent mixtures of extra virgin olive oil |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2016 |
2016 |
| Neural networks applied to characterize blends containing refined and extra virgin olive oils |
Talanta 161, 304-308 , 2016 |
2016 |
| Neural networks applied to determine the thermophysical properties of amino acid based ionic liquids |
Physical Chemistry Chemical Physics 18 (10), 7435-7441 , 2016 |
2016 |
| Their Role in the Field of Sensors |
Biosensors in Food Processing, Safety, and Quality Control, 273 , 2016 |
2016 |
| Sensors: A Highly Sensitive Diketopyrrolopyrrole-Based Ambipolar Transistor for Selective Detection and Discrimination of Xylene Isomers (Adv. Mater. 21/2016). |
Advanced Materials (Deerfield Beach, Fla.) 28 (21), 4163-4163 , 2016 |
2016 |
| Cancerous glucose metabolism in lung cancer—evidence from exhaled breath analysis |
Journal of Breath Research 10 (2), 026012 , 2016 |
2016 |
| Quantifying binary and ternary mixtures of monovarietal extra virgin olive oils with UV–vis absorption and chemometrics |
Sensors and Actuators B: Chemical 234, 115-121 , 2016 |
2016 |
| Hazardous aromatic VOC quantification through spectroscopic analysis and intelligent modeling to assess drinking water quality |
Chemometrics and Intelligent Laboratory Systems 156, 102-107 , 2016 |
2016 |
| o 11A? Artificial neural networks in the determination of different types of cancer |
|
2015 |
| Estrategias metodológicas para el aprendizaje basado en proyectos de investigación en Ingeniería de Bioprocesos |
IJERI: International Journal of Educational Research and Innovation, 90-100 , 2015 |
2015 |
| Inputting molecular weights into a multilayer perceptron to estimate refractive indices of dialkylimidazolium-based ionic liquids—A purity evaluation |
Applied Soft Computing 28, 394-399 , 2015 |
2015 |
| Spectroscopic determination of the photodegradation of monovarietal extra virgin olive oils and their binary mixtures through intelligent systems |
Talanta 144, 363-368 , 2015 |
2015 |
| Application of artificial neural networks as a tool for moisture prediction in microbially colonized halite in the Atacama Desert |
Journal of Geophysical Research: Biogeosciences 120 (6), 1018-1026 , 2015 |
2015 |
| Methodological strategies for project-based learning in research Bioprocess Engineering. |
IJERI-INTERNATIONAL JOURNAL OF EDUCATIONAL RESEARCH AND INNOVATION, 90-100 , 2015 |
2015 |
| The accurate estimation of physicochemical properties of ternary mixtures containing ionic liquids via artificial neural networks |
Physical Chemistry Chemical Physics 17 (6), 4533-4537 , 2015 |
2015 |
| Estrategias metodológicas para el aprendizaje basado en proyectos de investigación en Ingeniería de Bioprocesos |
IJERI: International Journal of Educational Research and Innovation, 90-100 , 2015 |
2015 |
| Tidal Wastes as an Alternative Raw Material in Pulp and Paper Industry |
1st International Workshop in Biorefinery of Lignocellulosic Materials , 2015 |
2015 |
| Determinación de aceites de oliva monovarietales en una mezcla ternaria |
Biosaia: Revista de los másteres de Biotecnología Sanitaria y Biotecnología … , 2015 |
2015 |
| Conductivity of ionic liquids: a neural network approach |
Industrial & Engineering Chemistry Research 54 (1), 55-58 , 2015 |
2015 |
| Oral Glucose Tolerance Test as a Diagnostic Tool in Lung Cancer |
JOURNAL OF THORACIC ONCOLOGY 10 (9), S616-S616 , 2015 |
2015 |
| Identifying and quantifying adulterants in extra virgin olive oil of the Picual varietal by absorption spectroscopy and nonlinear modeling |
|
2015 |
| Food & Beverages |
|
2015 |
| Identifying and quantifying adulterants in extra virgin olive oil of the picual varietal by absorption spectroscopy and nonlinear modeling |
Journal of Agricultural and Food Chemistry 63 (23), 5646-5652 , 2015 |
2015 |
| Viscosity estimation of binary mixtures of ionic liquids through a multi-layer perceptron model |
Journal of Industrial and Engineering Chemistry 21, 1350-1353 , 2015 |
2015 |
| Non-linear models applied to experimental spectroscopical quantitative analysis of aqueous ternary mixtures of imidazolium and pyridinium-based ionic liquids |
Sensors and Actuators B: Chemical 206, 139-145 , 2015 |
2015 |
| Determination of physicochemical properties of pyridinium-based ionic liquid binary mixtures with a common component through neural networks |
Industrial & Engineering Chemistry Research 53 (2), 1015-1019 , 2014 |
2014 |
| Volatile Organic Compound Detection with FET Sensors and Neural Network Data Processing as a Preliminary Step to Early Lung Cancer Diagnosis. |
IJCCI (NCTA), 56-64 , 2014 |
2014 |
| Food control: application of radial basis network analysis (RBN) in gazpacho and related tomato products |
XIII International Symposium on Processing Tomato 1081, 291-296 , 2014 |
2014 |
| Current applications of artificial neural networks in biochemistry with emphasis on cancer research |
Current Biochemical Engineering 1 (1), 25-34 , 2014 |
2014 |
| Linking chemical parameters to sensory panel results through neural networks to distinguish olive oil quality |
Journal of Agricultural and Food Chemistry 62 (44), 10661-10665 , 2014 |
2014 |
| Artificial sensing intelligence with silicon nanowires for ultraselective detection in the gas phase |
Nano letters 14 (2), 933-938 , 2014 |
2014 |
| Artificial neural networks applied to fluorescence studies for accurate determination of N-butylpyridinium chloride concentration in aqueous solution |
Sensors and Actuators B: Chemical 198, 173-179 , 2014 |
2014 |
| Estimation of the refractive indices of imidazolium-based ionic liquids using their polarisability values |
Physical Chemistry Chemical Physics 16 (1), 128-134 , 2014 |
2014 |
| Study of the physicochemical properties of ternary mixtures through artificial neural networks. |
21st International Congress of Chemical and Process Engineering, CHISA 2014 … , 2014 |
2014 |
| Neural network models to classify olive oils within the protected denomination of origin framework |
International Journal of Food Science and Technology 48 (12), 2528-2534 , 2013 |
2013 |
| Estimation with neural networks of the water content in imidazolium-based ionic liquids using their experimental density and viscosity values |
Talanta 113, 93-98 , 2013 |
2013 |
| Rebuttal to “Comments on “Boiling Points of Ternary Azeotropic Mixtures Modeled with the Use of the Universal Solvation Equation and Neural Networks’” |
Industrial & Engineering Chemistry Research 52 (1), 545-546 , 2013 |
2013 |
| Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils |
Journal of Food Engineering 118 (4), 400-405 , 2013 |
2013 |
| Neural networks to estimate the water content of imidazolium-based ionic liquids using their refractive indices |
Talanta 116, 122-126 , 2013 |
2013 |
| P1. 9.16 Nonlinear Algorithms to Reduce the Dimension of Databases without Loss of Information |
Tagungsband, 1206-1208 , 2012 |
2012 |
| Radial basis network analysis to estimate lycopene degradation kinetics in tomato-based products |
Food research international 49 (1), 453-458 , 2012 |
2012 |
| Prediction of lycopene stability in tomato products by radial basis network analysis |
XII International Symposium on the Processing Tomato 971, 149-154 , 2012 |
2012 |
| Extraction methods of biophenols |
The Role of Ionic Liquids in the Chemical Industry, 107-132 , 2012 |
2012 |
| Aprovechamiento y valorización de los residuos del olivar |
Agricultura: Revista agropecuaria, 336-341 , 2012 |
2012 |
| Liquid–liquid extraction of toluene from n-heptane using binary mixtures of N-butylpyridinium tetrafluoroborate and N-butylpyridinium bis (trifluoromethylsulfonyl) imide ionic … |
Chemical engineering journal 180, 210-215 , 2012 |
2012 |
| The role of ionic liquids in the chemical industry |
The role of ionic liquids in the chemical industry, 1-189 , 2012 |
2012 |
| Separation of toluene from n-heptane by liquid–liquid extraction using binary mixtures of [bpy][BF4] and [4bmpy][Tf2N] ionic liquids as solvent |
The Journal of Chemical Thermodynamics 53, 119-124 , 2012 |
2012 |
| Modelling of Hydrocarbon Solubility in Isomeric Ionic Liquids Using Mathematical Regressions |
Separation Science and Technology 47 (2), 392-398 , 2012 |
2012 |
| Boiling points of ternary azeotropic mixtures modeled with the use of the universal solvation equation and neural networks |
Industrial & engineering chemistry research 51 (26), 9123-9128 , 2012 |
2012 |
| Alkylsulfate-based ionic liquids in the liquid–liquid extraction of aromatic hydrocarbons |
The Journal of Chemical Thermodynamics 45 (1), 68-74 , 2012 |
2012 |
| 1-Alkyl-2, 3-dimethylimidazolium bis (trifluoromethylsulfonyl) imide ionic liquids for the liquid–liquid extraction of toluene from heptane |
Journal of Chemical & Engineering Data 56 (8), 3468-3474 , 2011 |
2011 |
| Liquid− liquid extraction of toluene from heptane using 1-alkyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide ionic liquids |
Journal of Chemical & Engineering Data 56 (1), 113-118 , 2011 |
2011 |
| N-butylpyridinium bis-(trifluoromethylsulfonyl) imide ionic liquids as solvents for the liquid–liquid extraction of aromatics from their mixtures with alkanes: Isomeric effect … |
Fluid phase equilibria 301 (1), 62-66 , 2011 |
2011 |
| The ability of spectrum autocorrelation models to predict the lycopene concentration in foods through visible spectroscopic data |
Talanta 85 (5), 2479-2483 , 2011 |
2011 |
| Prediction of gas solubilities in ionic liquids |
Physical Chemistry Chemical Physics 13 (38), 17262-17272 , 2011 |
2011 |
| Sulfonate-based ionic liquids in the liquid–liquid extraction of aromatic hydrocarbons |
Journal of Chemical & Engineering Data 56 (7), 3188-3193 , 2011 |
2011 |
| Comparative Evaluation of [Imidazolium][Tf. N] and [Pyridinium|| Tf. N] Ionic Liquids for the Liquid-liquid |
Chemical Engineering 24 , 2011 |
2011 |
| (Liquid+ liquid) equilibrium for the ternary systems {heptane+ toluene+ 1-allyl-3-methylimidazolium bis (trifluoromethylsulfonyl) imide} and {heptane+ toluene+ 1-methyl-3 … |
The Journal of Chemical Thermodynamics 43 (11), 1641-1645 , 2011 |
2011 |
| Ionic liquids in the organometallic field |
Organometallic Compounds: Preparation, Structure and Properties, 421-434 , 2011 |
2011 |
| Thermophysical properties of 1-ethyl-3-methylimidazolium 1, 1, 2, 2-tetrafluoroethanesulfonate and 1-ethyl-3-methylimidazolium ethylsulfate ionic liquids as a function of … |
Journal of Chemical & Engineering Data 56 (9), 3589-3597 , 2011 |
2011 |
| Neural Networks: Their Role in High-Pressure Processing |
Innovative Food Processing Technologies: Advances in Multiphysics Simulation, 39 , 2011 |
2011 |
| Neural Networks Their Role in the Field of Sensors |
BIOSENSORS IN FOOD PROCESSING, SAFETY, AND QUALITY CONTROL, 273-285 , 2011 |
2011 |
| Application of lag-k autocorrelation coefficient and the TGA signals approach to detecting and quantifying adulterations of extra virgin olive oil with inferior edible oils |
Analytica chimica acta 688 (2), 140-145 , 2011 |
2011 |
| Quantification of adulterant agents in extra virgin olive oil by models based on its thermophysical properties |
Journal of food engineering 103 (2), 211-218 , 2011 |
2011 |
| A COSMO-RS based guide to analyze/quantify the polarity of ionic liquids and their mixtures with organic cosolvents |
Physical chemistry chemical physics 12 (8), 1991-2000 , 2010 |
2010 |
| Solvent Extraction of Toluene from Heptane with the Ionic Liquids N -Ethylpyridinium Bis(trifluoromethylsulfonyl)imide and z -Methyl- N -ethylpyridinium Bis(trifluoromethylsulfonyl)imide … |
Journal of Chemical & Engineering Data 55 (11), 4937-4942 , 2010 |
2010 |
| NEURAL NETWORKS FOR THE MODELING OF CONCENTRATION OF CHEMICALS |
International Conference on Agents and Artificial Intelligence 2, 580-584 , 2010 |
2010 |
| Linear and non linear chemometric models to quantify the adulteration of extra virgin olive oil |
Talanta 83 (2), 404-409 , 2010 |
2010 |
| The olive: Its processing and waste management |
The olive: Its processing and waste management, 1-133 , 2010 |
2010 |
| The olive |
Food science and technology series (Nova Science Publishers) , 2010 |
2010 |
| Liquid−Liquid Equilibria for the Ternary Systems {Heptane + Toluene + N -Butylpyridinium Tetrafluoroborate or N -Hexylpyridinium Tetrafluoroborate} at T = 313.2 K |
Journal of Chemical & Engineering Data 55 (8), 2862-2865 , 2010 |
2010 |
| Separation of toluene and heptane by liquid–liquid extraction using z-methyl-N-butylpyridinium tetrafluoroborate isomers (z= 2, 3, or 4) at T= 313.2 K |
The Journal of Chemical Thermodynamics 42 (8), 1004-1008 , 2010 |
2010 |
| A novel method to quantify the adulteration of extra virgin olive oil with low-grade olive oils by UV− vis |
Journal of agricultural and food chemistry 58 (3), 1679-1684 , 2010 |
2010 |
| Neural network analysis of spectroscopic data of lycopene and β-carotene content in food samples compared to HPLC-UV-Vis |
Journal of agricultural and food chemistry 58 (1), 72-75 , 2010 |
2010 |
| Radial basis network analysis of color parameters to estimate lycopene content on tomato fruits |
Talanta 83 (1), 9-13 , 2010 |
2010 |
| Solvent extraction of toluene from heptane with pyridinium-based tetrafluoroborate ionic liquids |
19th International Congress of Chemical and Process Engineering, CHISA 2010 … , 2010 |
2010 |
| Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils and detect adulterations of extra virgin olive oil |
Computer aided chemical engineering 28, 313-318 , 2010 |
2010 |
| INDUSTRIAL METHODS TO PRODUCE REFINED OLIVE OIL |
OLIVE: ITS PROCESSING AND WASTE MANAGEMENT, 83-92 , 2010 |
2010 |
| Ionic liquids: Determination of their aqueous content using differential scanning calorimeter equipment, chaotic parameters and a radial basis network model |
Talanta 81 (4-5), 1766-1771 , 2010 |
2010 |
| A quantum-chemical-based guide to analyze/quantify the cytotoxicity of ionic liquids |
Green Chemistry 12 (1), 123-134 , 2010 |
2010 |
| TABLE OLIVES |
OLIVE: ITS PROCESSING AND WASTE MANAGEMENT, 25-43 , 2010 |
2010 |
| (Liquid+ liquid) equilibria in the binary systems (aliphatic, or aromatic hydrocarbons+ 1-ethyl-3-methylimidazolium ethylsulfate, or 1-butyl-3-methylimidazolium methylsulfate … |
The Journal of Chemical Thermodynamics 42 (1), 144-150 , 2010 |
2010 |
| How mathematics are helping the olive oil industry |
Agriculture Research and Technology, 429-439 , 2010 |
2010 |
| Ternary Liquid−Liquid Equilibria Measurement for Hexane and Benzene with the Ionic Liquid 1-Butyl-3-methylimidazolium Methylsulfate at T = (298.2, 313.2, and … |
Journal of Chemical & Engineering Data 55 (1), 258-261 , 2010 |
2010 |
| INDUSTRIAL METHODS TO PRODUCE EXTRA VIRGIN OLIVE OIL |
OLIVE: ITS PROCESSING AND WASTE MANAGEMENT, 47-63 , 2010 |
2010 |
| VIRGIN OLIVE OIL QUALITY |
OLIVE: ITS PROCESSING AND WASTE MANAGEMENT, 65-82 , 2010 |
2010 |
| Application of ANNs to Model Dispersion in Rivers. |
IUP Journal of Earth Sciences 4 (1) , 2010 |
2010 |
| Chaotic parameters and their role in quantifying noise in the output signals from UV, TGA and DSC apparatus |
Talanta 79 (3), 665-668 , 2009 |
2009 |
| Determination of Toluene, n- Heptane, [emim][EtSO 4 ], and [bmim][MeSO 4 ] Ionic Liquids Concentrations in Quaternary Mixtures by UV−vis Spectroscopy |
Industrial & engineering chemistry research 48 (10), 4998-5003 , 2009 |
2009 |
| Biosensors based on ionic liquids and carbon nanotubes; a wide potential of applications in the development of third-generation biosensors |
Biosensors: Properties, Materials and Applications, 321-329 , 2009 |
2009 |
| Liquid-liquid extraction of aromatic hydrocarbons by mixed ionic liquids |
8th World Congress of Chemical Engineering: Incorporating the 59th Canadian … , 2009 |
2009 |
| Liquid–liquid equilibria for {hexane+ benzene+ 1-ethyl-3-methylimidazolium ethylsulfate} at (298.2, 313.2 and 328.2) K |
Fluid Phase Equilibria 282 (2), 117-120 , 2009 |
2009 |
| Synergistic liquid-liquid extraction of toluene from heptane with mixtures of [bmim] BF4 and [omim] BF4 ionic liquids |
Chemical Engineering Transactions 17, 1579-1584 , 2009 |
2009 |
| Estimation of toxicity of ionic liquids in Leukemia Rat Cell Line and Acetylcholinesterase enzyme by principal component analysis, neural networks and multiple lineal regressions |
Journal of hazardous materials 164 (1), 182-194 , 2009 |
2009 |
| Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils |
Journal of agricultural and food chemistry 57 (7), 2763-2769 , 2009 |
2009 |
| Olive oil processing and its effects on olive oil quality and the environment |
Food Processing: Methods, Techniques and Trends, 259-272 , 2009 |
2009 |
| Effect of cationic and anionic chain lengths on volumetric, transport, and surface properties of 1-alkyl-3-methylimidazolium alkylsulfate ionic liquids at (298.15 and 313.15) K |
Journal of Chemical & Engineering Data 54 (4), 1297-1301 , 2009 |
2009 |
| Development of an a priori ionic liquid design tool. 2. Ionic liquid selection through the prediction of COSMO-RS molecular descriptor by inverse neural network |
Industrial & engineering chemistry research 48 (4), 2257-2265 , 2009 |
2009 |
| Volumetric, Transport and Surface Properties of [bmim][MeSO 4 ] and [emim][EtSO 4 ] Ionic Liquids As a Function of Temperature |
Journal of Chemical & Engineering Data 53 (7), 1518-1522 , 2008 |
2008 |
| Application of Neural Networks to determine the concentrations of 1-ethyl-3-methylimidazolium ethylsulfate ionic liquid and toluene in aqueous solutions |
CHISA 2008-18th International Congress of Chemical and Process Engineering , 2008 |
2008 |
| The initial freezing temperature of foods at high pressure |
Critical reviews in food science and nutrition 48 (4), 328-340 , 2008 |
2008 |
| A neural network approach based on gold‐nanoparticle enzyme biosensor |
Journal of Chemometrics: A Journal of the Chemometrics Society 22 (1), 46-53 , 2008 |
2008 |
| Prediction of non-ideal behavior of polarity/polarizability scales of solvent mixtures by integration of a novel COSMO-RS molecular descriptor and neural networks |
Physical Chemistry Chemical Physics 10 (39), 5967-5975 , 2008 |
2008 |
| Optimising an artificial neural network for predicting the melting point of ionic liquids |
Physical Chemistry Chemical Physics 10 (38), 5826-5831 , 2008 |
2008 |
| Solving the spectroscopy interference effects of β-carotene and lycopene by neural networks |
Journal of agricultural and food chemistry 56 (15), 6261-6266 , 2008 |
2008 |
| Design and optimisation of a filter based on neural networks. Application to reduce noise in experimental measurement by TGA of thermal degradation of 1-ethyl-3 … |
Sensors and Actuators B: Chemical 133 (2), 426-434 , 2008 |
2008 |
| Field determination of phenolic compounds in olive oil mill wastewater by artificial neural network |
Biochemical Engineering Journal 38 (2), 171-179 , 2008 |
2008 |
| Modelling of carbon dioxide solubility in ionic liquids at sub and supercritical conditions by neural networks and mathematical regressions |
Chemometrics and Intelligent Laboratory Systems 93 (2), 149-159 , 2008 |
2008 |
| Design and Optimization of a Filter Based on Artificial Neural Network Applied to a Distillation Column |
Chemical Product and Process Modeling 3 (1) , 2008 |
2008 |
| Principal component analysis/UV spectroscopy for the determination of 1-ethyl-3-methylimidazolium ethylsulfate ionic liquid and toluene concentrations in aqueous solutions |
Industrial & engineering chemistry research 47 (11), 4025-4028 , 2008 |
2008 |
| Estimation of ternary liquid–liquid equilibria for arene/alkane/ionic liquid mixtures using neural networks |
Physical Chemistry Chemical Physics 10 (33), 5114-5120 , 2008 |
2008 |
| Effect of relative humidity of air on density, apparent molar volume, viscosity, surface tension, and water content of 1-ethyl-3-methylimidazolium ethylsulfate ionic liquid |
Journal of Chemical & Engineering Data 53 (4), 923-928 , 2008 |
2008 |
| Development of an a priori ionic liquid design tool. 1. Integration of a novel COSMO-RS molecular descriptor on neural networks |
Industrial & engineering chemistry research 47 (13), 4523-4532 , 2008 |
2008 |
| Optimization of an artificial neural network by selecting the training function. Application to olive oil mills waste |
Industrial & engineering chemistry research 47 (18), 7072-7080 , 2008 |
2008 |
| Quantification of phenolic compounds in olive oil mill wastewater by artificial neural network/laccase biosensor |
Journal of agricultural and food chemistry 55 (18), 7418-7426 , 2007 |
2007 |
| Optimization of an artificial neural network for thermal/pressure food processing: Evaluation of training algorithms |
Computers and Electronics in Agriculture 56 (2), 101-110 , 2007 |
2007 |
| Determination of 1-ethyl-3-methylimidazolium ethylsulfate ionic liquid and toluene concentration in aqueous solutions by artificial neural network/UV spectroscopy |
Industrial & engineering chemistry research 46 (11), 3787-3793 , 2007 |
2007 |
| Application of artificial neural network to the determination of phenolic compounds in olive oil mill wastewater |
Journal of Food Engineering 81 (3), 544-552 , 2007 |
2007 |
| Density and molar volume predictions using COSMO-RS for ionic liquids. An approach to solvent design |
Industrial & engineering chemistry research 46 (18), 6041-6048 , 2007 |
2007 |
| Thermophysical properties of 1-ethyl-3-methylimidazolium ethylsulfate and 1-butyl-3-methylimidazolium methylsulfate ionic liquids |
Journal of Chemical & Engineering Data 52 (5), 1979-1983 , 2007 |
2007 |
| Improvement of fluidized‐bed dryers for drying solid waste (olive pomace) in olive oil mills |
European Journal of Lipid Science and Technology 108 (11), 913-924 , 2006 |
2006 |
| Artificial neural network for modelling the drying of high moisture solid |
CHISA 2006-17th International Congress of Chemical and Process Engineering , 2006 |
2006 |
| Modelling of high-pressure treatments of foods by an Artificial Neural Network |
CHISA 2006-17th International Congress of Chemical and Process Engineering , 2006 |
2006 |
| Modeling the drying of a high-moisture solid with an artificial neural network |
Industrial & engineering chemistry research 44 (21), 8057-8066 , 2005 |
2005 |
| Artificial neural networks: a promising tool to design and optimize high-pressure food processes |
Journal of Food Engineering 69 (3), 299-306 , 2005 |
2005 |
| A neural network approach for thermal/pressure food processing |
Journal of Food Engineering 62 (1), 89-95 , 2004 |
2004 |
| pH-control system based on artificial neural networks |
Industrial & engineering chemistry research 37 (7), 2729-2740 , 1998 |
1998 |
| A neural network system for control of pH |
American Institute of Chemical Engineers, New York, NY (United States) , 1996 |
1996 |
| Application of a model reference adaptive control system to pH control. Effects of lag and delay time |
Industrial & engineering chemistry research 35 (11), 4100-4110 , 1996 |
1996 |
| Applications of Neural Networks to pH Control |
Neural Networks: Artificial Intelligence and Industrial Applications … , 1995 |
1995 |
