Juan C. Mejuto

Juan C. Mejuto
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Juan verified their affiliation via an institutional email.
Verified
Juan verified their affiliation via an institutional email.
  • BSc, MSc, PhD
  • Professor (Full) at University of Vigo

About

476
Publications
117,617
Reads
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8,961
Citations
Introduction
Juan Carlos Mejuto actually is Full Professor in the Physical Chemistry Department of University of Vigo at Ourense Campus. He is the head of the Colloids group at Ourense Campus. His research interest comprises (i) physical organic and physical inorganic chemistry, (ii) reactivity mechanisms in homogeneous and microheterogeneous media, (iii) stability of self-assembly aggregates and (iv) supramolecular chemistry.
Current institution
University of Vigo
Current position
  • Professor (Full)
Additional affiliations
September 1992 - October 1996
University of Santiago de Compostela
Position
  • PhD Student
October 1996 - present
University of Vigo
Education
June 1992 - June 1996
September 1987 - June 1992

Publications

Publications (476)
Article
Encapsulation of essential oils with cyclodextrins can protect their active compounds from environmental conditions and improve their aqueous solubility, hence increasing their functional capabilities as additives. The purpose of this study was to characterize the physico-chemical properties and bio-efficacies, antioxidant and antibacterial activit...
Article
Full-text available
Essential oil from yarrow (Achillea millefolium L. s. l.) has a broad spectrum of pharmacological activities. However, active chemical components of yarrow oil are sensitive to environmental factors such as, light, oxygen and temperature. Encapsulation of essential oil offers solutions for the limitation. Yarrow oil was encapsulated in hydroxypropy...
Article
Full-text available
The commercialization of products with cannabidiol (CBD) has undergone a significant increase. These products can be presented in different forms such as baked goods, gummies or beverages (such as kombucha, beer or teas, among others) using wide concentrations ranges. The use of CBD in edibles favors its consumption, for medicinal users, during the...
Article
Full-text available
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 evolutio...
Article
Full-text available
The influence of humic aggregates in a water solution upon the chemical stability under basic conditions of different substrates was reviewed. The kinetic behavior of each substrate was modeled in terms of a micellar pseudophase model.
Article
The physicochemical property of surfactants that is widely used to study their behavior is the critical micellar concentration (CMC). The value of this property is specific to each surfactant as it depends on a number of external factors and the chemical composition of the surfactant. This research focused on using two new machine learning approach...
Article
Flavonoid dimers are being focused due to their particular structure that links two units through Csingle bondC or C-O-C bonds. This paper provides a comprehensive and systematic overview of the reaction mechanism of flavonoid dimerization and discusses their synthesis process and methods to devise an ideal preparation scheme of flavonoid dimers. G...
Article
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Carica papaya (Family Caricaceae) is endowed with a myriad of biological activities as gastroprotective, antidiabetic, antimalarial, antiviral, and anti-inflammatory agent. We performed for the first time an extensive comparative metabolite profiling of different plant organs considering both male and female leaves, seeds, and fruits of different m...
Article
Critical micellar concentration (CMC) is a key physicochemical property of surfactants used to study their behaviour. This property is affected by factors such as temperature, pressure, pH, the type of organic solvent/water mixture, the chemical structure of the surfactants and the presence of electrolytes. Most of the existing studies in the liter...
Article
Full-text available
The shiitake mushroom has gained popularity in the last decade, ranking second in the world for mushrooms consumed, providing consumers with a wide variety of nutritional and healthy benefits. It is often not clear the origin of these mushrooms, so it becomes of great importance to the consumers. In this research, different machine learning algorit...
Article
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Compounds was born in 2021 as an interdisciplinary journal with a clear vocation towards the scientific community and a tool to present its scientific achievements in an open access format that would allow a rapid and efficient dissemination of its scientific results in the field of chemistry [...]
Article
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The basic hydrolysis of Malachite Green (MG) in the presence of β-Cyclodextrin (β-CD) has been studied using UV-Vis spectroscopic techniques and at 20 °C. β-CD was found to catalyze the basic hydrolysis. Indeed, this basic hydrolysis is catalyzed by the interaction cyclodextrin hydroxyl group, in its deprotonated form with the carbocation in the ho...
Article
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Since 2021, we have been immersed in the challenge of publishing a journal that constitutes a form of communication of scientific achievements in the field of the synthesis and characterization of chemical compounds from a theoretical and experimental point of view [...]
Article
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The study of the phenolic compounds present in olive leaves (Olea europaea) is of great interest due to their health benefits. In this research, different machine learning algorithms such as RF, SVM, and ANN, with temperature, time, and volume as input variables, were developed to model the extract yield and the total phenolic content (TPC) from ex...
Preprint
Full-text available
The basic hydrolysis of Malachite Green in the presence of β-Cyclodextrin has been studied and a catalytic effect has been found. Indeed, this basic hydrolysis is catalyzed by the interaction of deprotonated cyclodextrin hydroxyl group with the carbocation in the host-guest complex. This behavior is like the hydrolysis of Cristal Violet in the same...
Article
Full-text available
Reservoirs play an important function in human society due to their ability to hold and regulate the flow. This will play a key role in the future decades due to climate change. Therefore, having reliable predictions of the outflow from a reservoir is necessary for early warning systems and adequate water management. In this sense, this study uses...
Article
Full-text available
Benzaldehyde and its derivatives are used as food supplements. These substances can be used mainly as flavorings or as antioxidants. Besides, peroxynitrite, an oxidizing agent, could be formed in canned food. Both species could react between them. The present article has focused on the kinetic study of the oxidation of aldehydes by peroxynitrite. A...
Article
Full-text available
Nowadays, there is an extensive production and use of plastic materials for different industrial activities. These plastics, either from their primary production sources or through their own degradation processes, can contaminate ecosystems with micro-and nanoplastics. Once in the aquatic environment, these microplastics can be the basis for the ad...
Preprint
Full-text available
Nowadays, there is extensive production and use of plastic materials for different industrial activities. These plastics, either from their primary production sources or through degradation processes of the plastics themselves, can contaminate the ecosystem with micro and nanoplastics. Once in the aquatic environment, these microplastics can be the...
Preprint
Full-text available
Benzaldehyde and its derivatives are used as food supplements, due to their properties as anti-oxidants and mainly as organoleptic substances. The degradation of these aldehydes produces benzoic acid and benzyl alcohol derivatives, both of which present high toxicity levels. On the other hand, peroxynitrite acts as an oxidizing agent, thus strategi...
Article
Full-text available
The present year marked the third year of Compounds (ISSN 2673-6918), which was born in 2021 with the aim of providing a platform for the communication of scientific achievements in the field of the synthesis, characterization, and properties of chemical compounds from both a theoretical point of view as experimental [...]
Article
Full-text available
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...
Article
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Host–guest complexes, also known as inclusion complexes, are supramolecular structures [...]
Article
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3D food printing is an emerging technology developed to facilitate the life of consumers and food enterprises. This technology allows to obtain any type of new foods according to our wishes. It is possible to develop a food with the exact nutritive value necessary for our body, with the most benefiting nutrients we want, or without any ingredients...
Article
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Nearly two years ago, when Compounds was founded, the journal was introduced as an interdisciplinary tool for the scientific community to present their scientific results in an open access format so that their findings are disseminated quickly and efficiently [...]
Article
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Since the second half of the last century, the science of colloids has undergone a true revolution, from being little more than a collection of qualitative observations of the macroscopic behavior of some complex systems to becoming a discipline with substantial theoretical foundations [...]
Article
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This review offers a vision of the chemical behaviour of natural ingredients, synthetic drugs and other related compounds complexed using cyclodextrins. The review takes care of different sections related to i) the formation of inclusion complexes with cyclodextrins, ii) the determination of the inclusion formation constant, iii) the most used meth...
Article
Full-text available
One year ago, we began the adventure of editing Compounds (ISSN 2673-6918), a journal devoted to the synthesis, characterization, and properties of compounds, as well as their reactivity from both a theoretical and experimental point of view [...]
Article
Full-text available
The formation of inclusion complexes between alkylsulfonate guests and a cationic pillar[ 5]arene receptor in water was investigated by NMR and ITC techniques. The results show the formation of host-guest complexes stabilized by electrostatic interactions and hydrophobic effects with binding constants of up to 10(7) M(-1) for the guest with higher...
Preprint
Full-text available
The influence of humic aggregates in water solution upon the chemical stability under basic conditions of different substrates has been reviewed. The kinetic behavior of each substrate has been modelized in terms of micellar pseudophase model.
Preprint
Full-text available
The formation of inclusion complexes between alkylsulfonate guests and a cationic pil-lar[5]arene receptor in water was investigated by NMR and ITC techniques. The results show the formation of host-guest complexes stabilized by electrostatic interactions and hydrophobics effects with binding constants of up to 10 7 M-1 for the guest with higher hy...
Preprint
Full-text available
The formation of inclusion complexes between alkylsulfonate guests and a cationic pillar[5]arene receptor in water was investigated by NMR and ITC techniques. The results show the formation of host-guest complexes stabilized by electrostatic interactions and hydrophobics effects with binding constants of up to 107 M-1 for the guest with higher hydr...
Preprint
Full-text available
The aim of this work was to study the production of kefir-like beverage by fed-batch fermentation of red table grape juice at initial pHs of 3.99 (fermentation A) and 5.99 (fermentation B) with kefir grains during four repeated 24-h fed-batch subcultures. However, all kefir-like beverages (KLB) were characterized by low alcoholic grade (≤ 3.6%, v/v...
Article
Full-text available
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...
Article
Full-text available
Nowadays, probiotics have been proposed for substituting antibiotics in animal feed since the European Union banned the latter compounds in 2006 to avoid serious side effects on human health. Therefore, this work aimed to produce a probiotic product for use in animal feed by fed-batch fermentation of whey with a combination of kefir grains, AGK1, a...
Preprint
Full-text available
Nowadays, probiotics has been proposed for substituting antibiotics in animal feed, since the European Union (EU) banned the latter compounds in 2006 to avoid their serious side effects on human health. Therefore, this work aimed to produce a probiotic product by fed-fermentation of whey with kefir grains for use in animal feed. The whey was fermen...
Chapter
Essential oils are natural volatile aromatic oily liquids obtained from several parts of aromatic plants such as herbs and spices, citrus plants, edible plants and flowering plants. They are derived from complex metabolic pathways in order to protect the plant organisms from diverse pathogenic microorganisms and pests. Essential oils contain three...
Chapter
Full-text available
Two types of predictive models based on artificial neural networks (ANN) and quadratic regression model developed in our laboratory will be summarized in this book chapter. Both models were developed to predict the density, speed of sound, kinematic viscosity and surface tension of amphiphilic aqueous solutions. These models were developed taking i...
Article
Effective and cheap methods for detecting fraud and, guaranteeing wine authenticity, are of paramount importance in the sector. In this sense, three different kinds of prediction models (random forest, artificial neural networks, and support vector machines) were developed to classify wines, according to their element contents (metals and metalloid...
Article
Full-text available
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...
Preprint
Full-text available
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...
Article
Full-text available
Agro-industries should adopt effective strategies to use agrochemicals such as glypho-sate herbicides cautiously in order to protect public health. This entails careful testing and risk assessment of available choices, and also educating farmers and users with mitigation strategies in ecosystem protection and sustainable development. The key to suc...
Preprint
Full-text available
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...
Article
Full-text available
Cyclodextrins (CDs) are cyclic oligomers broadly used in food manufacturing as food additives for different purposes e.g. to improve sensorial qualities, shelf life and sequestration of compo-nents. In this review, the latest advancements of their applications along with the characteristics of the uses of the different CDs (α, β, γ and their deriva...
Article
Full-text available
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...
Article
Full-text available
Almost 10 years have passed since the International Year of Chemistry was celebrated [...]
Article
Crops, livestock and seafood are major contributors to global economy. Agriculture and fisheries are especially dependent on climate. Thus, elevated temperatures and carbon dioxide levels can have large impacts on appropriate nutrient levels, soil moisture, water availability and various other critical performance conditions. Changes in drought and...
Article
The use of cyclodextrins (CDs) in beverages has increased in the last decades, and they are widely used in food processing and technology. Cyclodextrins have an important capacity for use in the technology industry due to their capacity to form an inclusion complex with a large number of compounds. This complex can improve the food characteristics,...
Article
Full-text available
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...
Article
Full-text available
Two thirds of the world is covered by oceans, whose upper layer is inhabited by algae. This means that there is a large extension to obtain these photoautotrophic organisms. Algae have undergone a boom in recent years, with consequent discoveries and advances in this field. Algae are not only of high ecological value but also of great economic impo...
Article
Full-text available
Micellar systems consisting of a surfactant and an additive such as an organic salt or an acid usually self-organize as a series of worm-like micelles that ultimately form a micellar network. The nature of the additive influences micellar structure and properties such as aggregate lifetime. For ionic surfactants such as sodium dodecyl sulfate (SDS)...
Article
Full-text available
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...
Article
Artificial neural networks (ANN) are computationally based mathematical tools inspired by the fundamental cell of the nervous system, the neuron. ANN constitute a simplified artificial replica of the human brain consisting of parallel processing neural elements similar to neurons in living beings. ANN is able to store large amounts of experimental...
Preprint
Full-text available
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 along aging time can be permitted to discriminate wine samples collected after one, four, seven and ten months of aging. Different computational models were used to develop a...
Conference Paper
Third semester: Chapter 4) The Design of the Integrated Management System has been completed and completed. proposed by the author, and the Indices of the Quality Management Manual have been developed, Environment and Food Safety and the Manual of General and Specific Procedures of this integrated management, with risk management in each applicable...
Article
The steady increase in food falsification, which has caused large economic losses and eroded consumers’ trust, has become a pressing issue for producers, researchers, governments, consumers and other stakeholders. Tracking and authenticating the food supply chain to understand provenance is critical with a view to identifying and addressing sources...
Article
Controlling S-nitrosothiols decomposition, with the consequent release of nitric oxide, is a topic of great research effort. Nitrosomercaptopyridine (SNO+) incorporation into cucurbit[7]uril cavity results in a large increase of its nitrosation equilibrium constant. This effect being a consequence of the stabilization of organic cations by formatio...
Article
The influence of alkyl-aldehydes upon electric percolation of AOT-based microemulsions has been studied. The number of carbons in the hydrocarbon chain was varied between 0 and 5 atoms (chain length between 0 and 7.33 Å). Two different behaviors were found, while the presence in the microemulsion of short chains aldehydes implies a decrease in the...
Article
The essential oil from guava leaves has low physicochemical stability and low solubility in water, what limits its application in food formulations. This study aimed to characterize the physicochemical properties and the an- tioxidant and antimicrobial activities of encapsulated guava leaf oil in hydroxypropyl-β-cyclodextrin (HPβCD). Inclusion comp...
Article
Since their development in 1943, artificial neural networks were extended into applications in many fields. Last twenty years have brought their introduction into winery, where they were applied following four basic purposes: authenticity assurance systems, electronic sensory devices, production optimization methods, and artificial vision in image...
Conference Paper
Full-text available
Abstract Within the project of doctoral thesis, currently underway, this communication intends: - present how the risk prevention vision is integrated into the fields of comparative research on the origin and evolution of the three current International Management Standards, applicable to any Organization, in particular the Agrifood Sector: • the o...
Chapter
Full-text available
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...
Article
Full-text available
This work aims at assessing the influence of two different solvents, 11 bidistilled water and toluene, on dispersions of carbon-based engineered 12 nanomaterials, namely, fullerenes, and their self-assembly behavior. The obtained 13 self-assembled carbon-based materials were characterized using UV−vis 14 spectrophotometry and transmission electron...
Article
Full-text available
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...
Article
Full-text available
Percolative behaviour of w/o AOT/iC8/H2O microemulsions added with different n-alkanols is reported. 1-n-alcohols and 2-n-alkanols presented dissimilarities affecting percolation. Smaller alcohols ease percolation, especially at low concentrations. Greater molecules implied a reinforcement of the surfactant film that delayed percolation threshold....
Article
Full-text available
Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for characterizing and modelling non-linear hydrological processes. In this paper, these methods have been used to characterize and to predict the discharge of Lor River (North Western of Spain), one, two and three days ahead. Transit data analyses have show...
Article
Full-text available
A model based in an Artificial Neural Network (ANN) was developed in order to forecast the Olea airborne pollen concentration due to the allergenic power of its pollen grains. There were used daily data from Olea pollen and the main meteorological variables documented in the period 1993-2008. The model was carried out in the Spanish city of Ourense...
Article
Full-text available
Simulations for the electrical percolation of AOT/iC8/H2O w/o microemulsions added with alkylamines have been carried out by means of multilayer perceptron. Five variables have been elected as inputs (amine concentration, molecular weight, log P, hydrocarbon chain length -as number of carbons-, pKa). As a result, a neural model consisting in five i...
Conference Paper
Full-text available
Organic matter improves soil characteristics increasing the soil porosity, and thus they favour the air and water circulation in the soil [1]. It also facilitates the adsorption mechanisms of hazardous substances as pesticides [2]. Some pesticides remain active for years, while others are degraded only in a few days [5]. The aim of this work is to...
Article
Full-text available
Predictive models based on artificial neural networks have been developed for the percolation threshold of AOT based microemulsions with addition of either glymes or polyethylene glycols. Models have been built according to the multilayer perceptron architecture, with five input variables (concentration, molecular mass, log P, number of C and O of...
Article
Full-text available
The influence of natural organic substances as humate colloidal aggregates in water solutions upon the chemical stability of vinclozolin has been investigated in basic media. A large inhibition (9 times- fold) has been observed and it has been rationalized in terms of a micellar pseudophase model. The observed behaviour could increase significantly...
Article
Full-text available
In recent years, the stability of carbamate pesticides have been studied by our research group in a wide range of biomimetic microheterogeneous media such as micelles or reverse micelles. These microheterogeneous media included different surfactant species and, hence, different self-assembled structures. In particular, basic hydrolysis of carbofura...
Article
Full-text available
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)....
Article
Full-text available
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...
Article
Full-text available
A quantitative treatment of dynamic surface tension data has been carried out with different mathematical approaches taking into account a diffusion-controlled mechanism. The classical model has been modified in order to achieve a better description of the experimental conditions by considering a finite diffusion domain. The domain has been fixed k...
Chapter
Full-text available
Cet ouvrage fait le point des connaissances et des applications sur les cyclodextrines, molécules cages issues de la dégradation enzymatique de l’amidon. Il est composé de quatorze contributions et débute par trois chapitres qui ont trait à l’histoire, à la structure et aux propriétés de ces molécules. Les onze chapitres suivants sont consacrés à l...
Article
A model based in an Artificial Neural Network was developed in order to forecast the Olea airborne pollen concentration due to the allergenic power of its pollen grains. Daily data for Olea pollen and the meteorological variables documented in the period 1993-2008, were used. All developed models had five input variables; i) Julian day, ii) precipi...
Article
Full-text available
A series of models, based on artificial neural networks, of the percolative behaviour of AOT microemulsions in the presence of crown ethers as additives have been developed. Input variables, related to the chemical structure of crown ethers and their packing with surfactant film, have been selected. As a result, a model has been chosen with a good...
Conference Paper
Full-text available
A new environmental predictive model using ANN (Artificial Neural Networks) and stable isotope values of land snail shells to determine atmospheric parameters is presented. The modeled environmental variables are mean annual temperature (MAT) and mean annual precipitation (MAP). To develop the model, we have used published field data collected by Y...
Article
Full-text available
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...

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