Gonzalo Astray's research while affiliated with University of Vigo and other places
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Publications (68)
Global solar irradiation is an important variable that can be used to determine the suitability of an area to install solar systems; nevertheless, due to the limitations of requiring measurement stations around the entire world, it can be correlated with different meteorological parameters. To confront this issue, different locations in Rias Baixas...
This study proposed different techniques to estimate the isotope composition (δ18O), salinity and temperature/potential temperature in the Mediterranean Sea using five different variables: (i–ii) geographic coordinates (Longitude, Latitude), (iii) year, (iv) month and (v) depth. Three kinds of models based on artificial neural network (ANN), random...
Different prediction models (multiple linear regression, vector support machines, artificial neural networks and random forests) are applied to model the monthly global irradiation (MGI) from different input variables (latitude, longitude and altitude of meteorological station, month, average temperatures, among others) of different areas of Galici...
Different machine learning models (multiple linear regression, vector support machines, artificial neural networks and random forests) are applied to predict the monthly global irradiation (MGI) from different input variables (latitude, longitude and altitude of meteorological station, month, average temperatures, among others) of different areas o...
The extraction of bioactive compounds from plant materials, such as eggplant, has been commonly carried out using classical extraction processes, based on solid-liquid extraction such as hydrodistillation and Soxhlet extraction. However, a series of disadvantages of these methods, such as long operating times or excessive organic solvents consumpti...
Nisin, an antibacterial compound produced by Lactococcus lactis strains, has been approved by the US Food and Drug Administration to be used as a safe food additive to control the growth of undesirable pathogenic bacteria. Nisin is commonly described as a pH-dependent primary metabolite, since its production depends on growth and culture pH evoluti...
Polymeric materials such as hydrogels have become necessary in our daily lives. Hydrogels are three-dimensionally cross-linked polymeric networks that can absorb large amounts of water. Thanks to their properties, hydrogels are very useful in multiple application fields. However, they have usually been obtained from petroleum-derived polymers, cont...
At present, organic crops have reached an important boom in a society increasingly
interested in the conservation of the environment and sustainability. It is evident that a part of the population in theWestern world focuses their concern on how to obtain our food and on doing it in a way that is as respectful as possible with the environment. In t...
Phenolic compounds have received significant attention both by the consumers and scientific community in the last decades because of their wide range of beneficial health effects. The efficient extraction of these biocompounds from natural sources remains an important challenge because of the intrinsic limitations of the traditional extraction meth...
Background
In the last years, the consumption of olive oil has experienced a sharp rise due to its organoleptic and healthy properties and with this the wastes and by-products derived from the olive production and the olive oil industry have also increased causing important environmental and economic issues. However, the high content in bioactive c...
From ancient times, the medicinal properties of the different Eucalyptus species are well known. In fact, plants from this family have been used in folk medicine as antiseptics, and to treat different ailments of the upper respiratory tract such as sinus congestion, common cold, or influenza. Moreover, other biological activities were described for...
Hops (Humulus lupulus L.) are used traditionally in the brewing industry to confer bitterness, aroma, and flavor to beer. However, in recent years, it has been reported that female inflorescences contain a huge variety of bioactive compounds. Due to the growing interest of the consumers by natural ingredients, intense research has been carried out...
Arbutus unedo L. (strawberry tree) has showed considerable content in phenolic compounds, especially flavan-3-ols (catechin, gallocatechin, among others). The interest of flavan-3-ols has increased due their bioactive actions, namely antioxidant and antimicrobial activities, and by association of their consumption to diverse health benefits, such a...
In the last few years, the consumer’s concern with the relationship between health and diet has led to the search of foods with functional properties beyond the nutritional. In this framework, the consumption of pomegranate has increased due to their sensorial attributes and remarkable amounts of bioactive compounds, which generate, at the same tim...
In the last years, the consumption of meat products is associated with a higher incidence of hypertension and cardiovascular diseases. The outstanding profile of seaweeds in nutritive and bioactive compounds turns them into promising candidates to formulate healthy products. Accordingly, due to the increasing interest of consumers by new functional...
Different separated protein fractions by the electrophoretic method in polyacrylamide gel were used to classify two different types of honeys, Galician honeys and commercial honeys produced and packaged outside of Galicia. Random forest, artificial neural network, and support vector machine models were tested to differentiate Galician honeys and ot...
A combination of physical-chemical analysis has been used to monitor the aging of red wines from D.O. Toro (Spain). The changes in the chemical composition of wines that occur over the aging time can be used to distinguish between wine samples collected after one, four, seven and ten months of aging. Different computational models were used to deve...
Swertia chirata is a medicinal plant studied for its ability to synthesize polyshaped gold nanoparticles (AuNP). The process of AuNP biosynthesis was studied using artificial neural networks (ANN) with different activation function on output node (logistic or linear) and different training algorithm (back propagation or Levenberg–Marquardt). The ma...
This work is aimed at assessing the use of response surface methodology (RSM) and artificial neural networks (ANNs) for modelling, and predicting, the optimum parameters for 1,3-Propanediol production by Lactobacillus brevis N1E9.3.3 from glycerol and glucose co-fermentation. A preliminary study of physical parameters was conducted using Plackett-B...
In this chapter, the ability of artificial neural networks was evaluated to predict the influence of amphiphiles as additive upon the electrical percolation of dioctyl sodium sul-fosuccinate (AOT)/isooctane/water microemulsions. In particular, water/AOT/isooctane microemulsion behaviour has been modelled. These microemulsions have been developed in...
Response surface methodology (RSM) and artificial neural networks (ANNs) architectures to predict the density, speed of sound, kinematic viscosity, and surface tension of aqueous solutions were developed. All models implemented using the root mean square error (RMSE) for training and validation phase were evaluated. The ANN models implemented show...
In view of the recognized special allergenic ability of Plantago pollen grains, a model based in an Artificial Neural Network (ANN) was developed in this work in order to forecast the Plantago airborne pollen concentration. The proposed model uses data from Plantago pollen and the main meteorological variables recorded during 16 years (1993-2008)....
Activity coefficients at infinite dilution are important property in solute-solvent interactions. Experimental techniques show high costs, skilled labour and safety. To solve this, a neural network model with five different topological descriptors to implement different Artificial Neural Network has been implemented. The best Artificial Neural Netw...
Different artificial neural networks architectures were developed to predict the density, viscosity and refractive index of binary and ternary mixtures of ionic liquids using their individual properties. All neural network implemented were evaluated using the root mean square error (RMSE) and the average percentage deviations (APD) for the training...
New insights in the prediction of density in ternary mixtures of ethanol + water + ionic liquid using backpropagation artificial neural network (ANN) have been investigated by our research group. These predictions have been compared with the corresponding ones with another model, that is, multiple linear regression (MLR), and the advantages of neur...
Different artificial neural networks architectures have been assayed to predict percolation temperature of AOT/iC8/H2O microemulsions in the presence of n-alkyl acids with a chain length between 0 and 24 carbons, using a multilayer perceptron with five easy-acquired entrance variables (number of carbons, log P, length of the hydrocarbon chain, pKa...
Microemulsions are very versatile reaction media, which nowadays find many applica-tions in the field of chemical kinetics and catalysis, ranging from nanoparticle templating to preparative organic chemistry. The thermodynamically stable and microheterogeneous nature of microemulsions, used as reaction media, induces drastic changes in the reagent...
Critical Micelle Concentration is a fundamental property on studying behaviour of surfactants. In general terms it depends on temperature, pressure and on the existence and concentra-tion of other surface-active substances and electrolytes. In this work it is presented a model based on Artificial Neural Networks to obtain predictive values of Criti...
In this article, an artificial neural network to predict the flash point of 95 esters was implemented. Four variables were used for its development. A neural network with 4-5-8-5-1 topology was encountered to gain the best agreement of the experimental results with those predicted (square correlation coefficient (R 2) and root mean square error wer...
Different Artificial Neural Network architectures have been implemented to predict Surface Tension of aqueous solutions of methanol, ethanol, 1-propanol and 2-propanol in range temperatures of 293.15-323.15 K. Artificial Neural Networks with four entrance variables, Critical Volume, log P, Mole Fraction and Temperature, were used. Best ANN architec...
Dyes are widely used as additives in the food industry. As some dyes may pose health risks when being in contact with food, their removal in industrial processes is an important issue. Since the surfactant sodium dodecyl sulphate (SDS) covers a wide range of variety of task to remove oily materials, and it is often used in detergency processes, the...
The effect of nonionic and anionic micelles upon the stability of 3-hydroxy-carbofuran in basic media has been studied. The presence of micelles in the reaction medium implies a large inhibition of the basic hydrolysis of 3-hydroxy-carbofuran, due to the association of 3-hydroxy-carbofuran with the micellar core. The kinetic constants for the basic...
![FIGURE 2-Influence of [Brij] ([D n ]=[Brij]-cmc) upon the pseudofirst...](profile/Juan-Mejuto/publication/236011642/figure/fig1/AS:654735908544520@1533112613617/Influence-of-Brij-D-n-Brij-cmc-upon-the-pseudofirst-order-rate-constant-of-KCF_Q320.jpg)
The effect of non-ionic micellar aggregates upon the stability of 3-keto-carbofuran in basic media has been stud-ied. The presence of non-ionic micelles implies a large in-hibition of the basic hydrolysis of 3-keto-carbofuran. This inhibition is due to the association of 3-keto-carbofuran with the micellar core. The kinetic constants for the basic...
Artificial neural networks (ANNs) have proven to be a tool for characterizing, modeling and predicting many of the non-linear hydrological processes such as rainfall-runoff, groundwater evaluation or simulation of water quality. After proper training they are able to generate satisfactory predictive results for many of these processes. In this pape...
Density functional theory (DFT) calculations were carried out in the prediction of the refractive index (n) of different polymers at the B3LYP/6-31G(d) level. A set of quantum chemical descriptors calculated from monomers of polymers, the energy of the lowest unoccupied molecular orbital (ELUMO), molecular average polarizability (α), heat capacity...
The most influential parameters on polymerization of ethene + oct-1-ene using a metallocene catalyst system are temperature, ethene pressure, and the amount of hydrogen used for polymerization. An implemented artificial neural network (ANN) is a supervised back-propagation model with different architectures. An ANN for determining the conditions in...
In this article, the molecular average polarizability α, the energy of the highest occupied molecular orbital EHOMO, the total thermal energy Ethermal, and the total entropy S were used to correlate with the glass transition temperature Tg for 113 polymers. The quantum chemical descriptors obtained directly from polymer monomers can represent the e...
Artificial Neural Networks (ANNs) have demonstrated to be a good tool to characterise, model and predict a great quantity of non-linear processes. In this article, we have used ANNs in the classification of different wine-making processes of the variety Vinhão (Vitis vinifera) for crops between the years 2000 and 2004. After being trained employing...
In recent years our reseach group has investigated the chemical behaviour of b-cyclodextrin (CD)/surfactant mixed systems and their characteristics as reaction media. The results have been interpreted in terms of a pseudophase model that takes into account the formation of both CD – surfactant and CD – substrate complexes and also, in some cases, t...
Artificial Neural Networks (ANNs) have demonstrated to be a good tool to characterise, model and predict a great quantity of non-linear processes. In this article, we have used ANNs in the classification of different wine-making processes of the variety Vinhao (Vitis vinifera) for crops between the years 2000 and 2004. After being trained employing...
The influence of humic substances (HSs) upon the alkaline hydrolysis of N-methyl-N-nitroso-p-toluene sulfonamide has been studied. Important inhibition of hydrolysis reaction has been reported. This inhibition has been explained in terms of association of reactants to the humic substances. Kinetic results have been modeled using the micellar pseudo...
Selección de contribucións presentadas no Gienol, Ourense, 2009
The alkaline hydrolysis of sodium nitroprusside, [Fe(CN)5NO]2-, to yield [Fe(CN)5NO2]4- was studied in water in oil (w/o) AOT–isooctane–water microemulsions [AOT= sodium bis(2-ethylhexyl) sulphosuccinate]. Kinetic data show an initial increase of absorbance at 415 nm, due to the formation of [Fe(CN)5NO2]4-. Following this initial increase, the abs...
The influence of humic substances (HSs) upon the alkaline hydrolysis of crystal violet (CV) and malachite green (MG) has been studied. Important inhibition of hydrolysis reaction has been reported. This inhibition has been explained in terms of association of reactants to the humic substances. Kinetic results have been modelized using the micellar...
Microemulsions are highly versatile reaction media, which currently find many applications. In this review, we shall describe recent trends in the use of microemulsions as organic reaction media, and present models for their functioning, in particular the pseudophase model. This model allows a quanti-tative explanation of organic reactivity in thes...
The capacity of adsorption of arsenic on iron and alu-minium-oxides-coated quartz sand has been studied. The cover of quartz particles with iron and aluminium oxides provides a high capacity adsorption and immobilization of arsenic from natural and waste waters. The values obtained for adsorption and desorption show that aluminium oxides particles...
Citations
... In environmental science to predict metal immobilisation remediation through the use of biochar amendment in soil using different variables such as biochar characteristics or soil physiochemical properties, among others [12], or to predict different important parameters in the Mediterranean Sea [13]. ...
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... In relation to this research, ML models can be used for different goals. For example, ML models may help to predict monthly global solar irradiation in the interior of the Autonomous Community of Galicia using only three measurement stations and subsequently checking its adjustments at two stations [17]. ML models can also be used to estimate hourly global solar radiation using ANN and SVM models, among others, being the multilayer feed-forward neural network the best developed model [18]. ...
... foods. These compounds have therapeutic and medicinal features associated with health maintenance, such as antioxidant, antimicrobial, and anti-inflammatory properties [9][10][11][12]. Furthermore, regularly consuming anthocyanins can help prevent cardiovascular, endocrine, immunological, and degenerative diseases and reduce cancer incidence [13]. ...
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... The rapid development of modern biomaterialogy is also due to sustainability, thanks to the use of naturally occurring and renewable biopolymers [1,6,[11][12][13][14][15][16]. The renewable, structural biological materials discussed in this review, from the view of their thermostability, allow the use of naturally occurring biological structures to construct new composites to improve their physicochemical and material properties while maintaining their essential characteristics [17]. ...
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... So far, research has tested their efficacy mainly in vitro, with little in vivo testing. EOs have been exploited for their pesticide potential, as there are many reports on their fungicidal [10], anti-microbial [11] and insecticidal activities [12], but nematological research on the use of EOs is a rather new area being developed [13]. Although there are several studies on the use of EOs as potential nematicides, there is a lack of critical evaluation of which EOs should be used as nematicides, and how. ...
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... To begin, screening investigations are conducted to determine whether specific characteristics have a minimal or no influence on the outcome. Thus, the purpose is to determine which design parameters have the most effect on future exploration [10,23,24]. Additionally, RSM may be used to model and evaluate various engineering processes. ...
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... Olive by-products exhibit antimicrobial activity against pathogenic bacteria and fungi strains due to phenolics' presence [28]. Therefore, considering the large TPC registered in all samples, OPP could exhibit antimicrobial activity even after a heat treatment. ...
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... Polyphenols are the most abundant secondary metabolites in plants with approximately 8000 different compounds and have attracted great attention as potential therapeutic agents in the treatment of various diseases [11]. Eucalyptus species are rich in polyphenols such as rutin, quercetin, ellagic acid, chlorogenic acid, and catechin and are well studied for their pharmacological activities [12]. Prevention and treatment of disease by polyphenols is mainly due to their antioxidant property. ...
... Antioxidant and antimicrobial properties of bitter acids offer different applications as food preservatives [80]. For instance, lupulone's addition to the chicken diet enhanced meat quality by protecting myofibrillar proteins from oxidation [81]. ...
... Intramuscular fat may act as 'insulation' and reduce water loss in meat. The same behaviour was observed by several authors, who proposed that the incorporation of pomegranate coproducts in meat enhances the WHC of raw beef sausage (Gullón et al., 2020), beef meatballs (Morsy et al., 2018), and beef burgers (Abdel-Fattah et al., 2016). However, since our results are not conclusive for WHC in the different parts of the carcass evaluated, further research is required. ...
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