Publications

Papers

2017

Approach of different properties of alkylammonium surfactants using artificial intelligence and response surface methodology. Tenside Surfactants Detergents 2017, 54, 132-140.

In press

Improved 1,3-propanediol production with maintained physical conditions and optimized media composition: Validation with statistical and neural approach. Biochemical Engineering Journal

Under review

Geochemistry of hydrothermal systems: thermal springs of Ourense
Another manuscript submitted to review

In progress

Artificial intelligence models applied to rivers with small basins (close to submit)
Water column distribution of oxygen isotopic composition, temperature and salinity properties in the Mediterranean Sea: Vertical and temporal change (close to submit)
Assessment of time series and neural networks analysis to forecast airborne Parietaria pollen presence in the Atlantic coastal regions (close to submit)

2016

Electrical percolation of AOT-based microemulsions of n-alcohols. Journal of Molecular Liquids, 2016, 215, 18-23.
Airborne castanea pollen forecasting model for ecological and allergological implementation. Science of the Total Environment, 548-549, 110-121.
Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain. Water Science & Technology 73 (7), 1756-1767.
Comparison between developed models using response surface methodology (RSM) and artificial neural networks (ANNs) with the purpose to optimize Oligosaccharide Mixtures Production from Sugar Beet Pulp. Industrial Crops and Products, 92, 290–299.

2015

Alternative method to predict activity coefficients at infinite dilution of hydrocarbons in aqueous solutions using Artificial Neural Network. Mediterranean Journal of Chemistry 2015, 3 (6), 1073-1082.
A model to forecast the risk periods of plantago pollen allergy by using the ann methodology. Aerobiologia, 2015, 31 (2), 201-211.
Identification of relevant phytochemical constituents for characterization and authentication of tomatoes by Generalized Linear Model linked to Automatic Interaction Detection (GLM-AID) and Artificial Neural Network models (ANNs). PLOS ONE, 2015, 1-18.
Influence prediction of alkylamines upon electrical percolation of AOT-based microemulsions using artificial neural networks. Tenside Surfactants Detergents 2015, 6, 473-476.
Forecasting olea airborne pollen concentration by means of artificial intelligence. Fresenius Environmental Bulletin, 2015, 24 (12b), 4574-4580.

2014

Density, viscosity and refractive index prediction of binary and ternary mixtures systems of ionic liquid. Mediterranean Journal of Chemistry 2014, 3 (4), 972-986.
Percolative Behavior Models Based On Artificial Neural Networks For Electrical Percolation Of Aot Microemulsions In The Presence Of Crown Ethers. Tenside Surfactants Detergents, 2014, 51 (6), 533-540.
Implementación de la técnica de gases difusos en la exploración del Campo Geotérmico San Vicente, El Salvador. Investigación, cultura, ciencia y tecnología, 2014, 6 (12), 41-45.

2013

Modelos de predicción basados en inteligencia artificial. Investigación, cultura, ciencia y tecnología, 2013, 5(10), 34-41.
Prediction of the Penetration of Drugs by Artificial Neural Networks. IEEE art. no. 6615859
Percolation threshold of AOT microemulsions with n-alkyl acids as additives prediction by means of artificial neural networks. Tenside Surfactants Detergents, 2013, 50 (5), 360-368.
Predicting critical micelle concentration values of non-ionic surfactants by using artificial neural networks. Tenside Surfactants Detergents, 2013, 50 (2), 118-124.
Esters flash point prediction using artificial neural networks. Journal of Computational Chemistry, 2013, 34(5), 355-359.

2012

Predicción de la temperatura superior de disolución crítica mediante redes neuronales artificiales. Revista Iberoamericana de polímeros, 2012, 13(6), 295-306
Relative Permittivity of Carbon Dioxide + Ethanol Mixtures prediction by means of Artificial Neural Networks. Journal of Mediterranean Chemistry, 2012, 2(1), 388-400.
Influence prediction of small organic molecules (ureas and thioureas) upon electrical percolation of AOT-based microemulsions using artificial neural networks. Tenside Surfactants Detergents, 2012, 49, 316-320.
Prediction of surface tension of alcohol + water solutions using artificial neural networks. Mediterranean Journal of Chemistry, 2012, 5, 221-231.

2011

N-Alkylamines-Based Micelles Aggregation Number Determination by Fluorescence Techniques. Journal of Solution Chemistry, 2011, 40 (12), 2072-2081.
Dyes and biomimetic systems. Detergency and food industry. CyTA Journal of Food, 2011, 9 (4), 252-256.
Artificial intelligence for electrical percolation of AOT-based microemulsions prediction. Tenside, Surfactants, Detergents, 2011, 48 (6), 477-483.
Prediction of water temperature in a small river using multilayer perceptron artificial neural networks. Electronic Journal of Environmental, Agricultural and Food Chemistry, 2011, 10 (8), 1608-2615.
Ciclodextrinas y su aplicación en la tecnología alimentaria. Industria Alimentaria, 2011, 45-46.
Basic degradation of 3-keto-carbofuran in the presence of non-ionic self-assembly colloids. Fresenius Environmental Bulletin, 2011, 20 (2), 354-357.
Influence of anionic and nonionic micelles upon hydrolysis of 3-hydroxy-carbofuran. International Journal of Chemical Kinetics, 2011, 43 (8), 402-408.
Multilayer perceptron neural network for flow prediction. Journal of Environmental Monitoring, 2011, 13 (1), 35-41.

2010

The use of artificial neural networks to forecast biological atmospheric allergens or pathogens only as Alternaria spores. Journal of Environmental Monitoring, 2010, 12 (11), 2145-2152.
Artificial neural networks: A promising tool to evaluate the authenticity of wine. CyTA Journal of Food, 2010, 8 (1), 79-86.
Prediction of ethene + oct-1-ene copolymerization ideal conditions using artificial neuron networks. Journal of Chemical and Engineering Data, 2010, 55 (9), 3542-3547.
Factors controlling flavors binding constants to cyclodextrins and their applications in foods. Food Research International, 2010, 43 (4), 1212-1218.
Influence of colloid suspensions of humic acids on the alkaline hydrolysis of N-methyl-N-nitroso-p-toluene sulfonamide. International Journal of Chemical Kinetics, 2010, 42 (5), 316-322.
Evaluation of atmospheric Poaceae pollen concentration using a neural network applied to a coastal Atlantic climate region. Neural Networks, 2010, 23 (3), 419-425.

2008

Sorption behaviour of arsenic by iron and aluminium-oxides-coated quartz particles. Fresenius Environmental Bulletin, 2008, 17 (12 A), 2122-2125.
Influence of colloid suspensions of humic acids upon the alkaline fading of carbocations. Journal of Physical Organic Chemistry, 2008, 21 (7-8), 555-560.

2007

Computer system for rural land valuation based on neural networks technology. Electronic Journal of Environmental, Agricultural and Food Chemistry, 2007, 6 (4), 1927-1933.
Chemistry in food: Flavours. Electronic Journal of Environmental, Agricultural and Food Chemistry, 2007, 6 (2), 1742-1763.

Reviews

Cleavage of carbofuran and carbofuran-derivatives in self-assembly colloid systems. Progress in Reaction Kinetics and Mechanism, 2015, 40 (2) 105-118.
Alkalinefading of triarylmethyl carbocations in self-assembly microheterogeneous media. Progress in Reaction Kinetics and Mechanism, 2011, 36 (2), 139-165.
Cyclodextrin-surfactant mixed systems as reaction media. Progress in Reaction Kinetics and Mechanism, 2010, 35 (2), 105-129.
A review on the use of cyclodextrins in foods. Food Hydrocolloids, 2009, 23 (7), 1631-1640.
Organic reactivity in AOT-stabilized microemulsions. Progress in Reaction Kinetics and Mechanism, 2008, 33 (1), 81-97.

Books (Editor)

Physical Chemistry Today. Physical Chemistry Tomorrow. Servicio de Publicaciones de la Universidad de Vigo, 2011.
Nuevos horizontes en la Viticultura y la Enología. Servicio de Publicaciones de la Universidad de Vigo, 2009.

Book chapters

Influence of anphiphiles on percolation of AOT-based microemulsions prediction using artificial neural networks. Properties and uses of microemulsions. Intech, 2017.
Density prediction of ternary mixtures of water + methanol + ionic liquid using back propagation Artificial Neural Networks. Ionic Liquid-Based Surfactant Science: Formulation, Characterization, and Applications, John Wiley & Sons, Inc., 2015.
Organic reactivity in AOT-bases microemulsions: pseudophase approach to transnitrosation reactions. Recent Trends in Surface and Colloid Science, World Scientific, 2012.
Binding constants of flavors to cyclodextrins. Physical Chemistry Today Physical Chemistry Tomorrow, Servicio de Publicaciones de la Universidad de Vigo, 2012.
Prediction of prop-2-enoate-polymers and styrene-polymers glass transition using artificial neural networks. Physical Chemistry Today Physical Chemistry Tomorrow, Servicio de Publicaciones de la Universidad de Vigo, 2012.
Artificial neural network-based prediction system for electrical percolation of AOT microemulsions. Physical Chemistry Today Physical Chemistry Tomorrow, Servicio de Publicaciones de la Universidad de Vigo, 2012.
Influence of humic substances upon the alkaline hydrolysis of MNTS. Physical Chemistry Today Physical Chemistry Tomorrow, Servicio de Publicaciones de la Universidad de Vigo, 2012.
Starch derived cyclodextrins and its future in food biopolymer industry. Starch-Based Polymeric Materials and Nanocomposites: Chemistry, Processing, and Applications, CRC Press, 2012.
Aplicación de ANN en la predicción de caudales en microcuencas fluviales de cabecera. WWW/Internet 2009, Universidad de Alcalá de Henares, 2009.
Redes Neuronales Artificiales: una herramienta prometedora para evaluar la autenticidad de los vinos. Nuevos horizontes en la Viticultura y Enología, Servicio de Publicaciones de la Universidad de Vigo, 2009.
Compuestos fenólicos y estabilidad de color en vinos Vinhao. Nuevos horizontes en la Viticultura y Enología, Servicio de Publicaciones de la Universidad de Vigo, 2009.
Influencia de los procesos de vinificación sobre la evolución del contenido de antocianos, color y calidad organolépctica de vinos Vinhao. Nuevos horizontes en la Viticultura y Enología, Servicio de Publicaciones de la Universidad de Vigo, 2009.
Comparative analisis of experimental viscosity models. Recent Res. Devel. Phys. Chem., Transworld Research Network, 2007.