Jose S. Torrecilla

Jose S. Torrecilla
Complutense University of Madrid | UCM · Department of Chemical Engineering

PhD, MBA, MSc, BSc

About

189
Publications
25,972
Reads
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4,090
Citations
Introduction
Professor of the Chemical Engineering Department of the Complutense University of Madrid (UCM). Ph.D. with honors in Chemical Engineering from UCM in 2000. Advanced Technician in Occupational Risk Prevention and Integrated Management Degrees were achieved in 2005. In 2017, he got his MBA degree with honors. Modeling complex systems for many fields such as health, chemistry, and food technology is his main line of research, which is done in collaborations at national and international levels.
Additional affiliations
May 2010 - present
Complutense University of Madrid
Position
  • Professor (Full)
September 2006 - December 2007
Queen's University Belfast
Position
  • Visiting Researcher

Publications

Publications (189)
Article
In this work, an image-based method has been developed to detect the presence of traces of wheat flour in a gluten-free product such as chickpea flour, which may affect the health of the final consumers. For this purpose, a set of ground chickpea samples have been mixed with low amounts of wheat flour ranging from 1 to 50 ppm. Specifically, 12 grou...
Article
An artificial intelligence-based method to rapidly detect adulterated lentil flour in real time is presented. Mathematical models based on convolutional neural networks and transfer learning (viz., ResNet34) have been trained to identify lentil flour samples that contain trace levels of wheat (gluten) or pistachios (nuts), aiding two relevant popul...
Article
This paper combines intelligent algorithms based on a residual neural network (ResNet34) to process thermographic images. This integration is aimed at detecting traces of wheat flour, in concentrations from 1 to 50 ppm, mixed into chickpea flour. Using an image database of over 16 thousand samples to train the ResNet34, and 1712 images to blindly t...
Article
Full-text available
Tuberculosis (TB) is an infectious disease that threatens >10 million people annually. Despite advances in TB diagnostics, patients continue to receive an insufficient diagnosis as TB symptoms are not specific. Many existing biodiagnostic tests are slow, have low clinical performance, and can be unsuitable for resource‐limited settings. According t...
Article
Full-text available
Detecting Tuberculosis from Skin Headspace In article number 2100235, Hossam Haick and co-workers report on a new diagnostic approach for enabling a noninvasive, fast, and highly accurate way of detecting Tuberculosis. The approach relies on Tuberculosis-specific volatile biomarkers that are detected and quantified from the skin headspace. A specif...
Article
In this research, more than 302,000 images of five different types of extra virgin olive oils (EVOOs) have been collected to train and validate a system based on convolutional neural networks (CNNs) to carry out their classification. Furthermore, comparable deep learning models have also been trained to detect and quantify the adulteration of these...
Article
In this work, a method to detect and quantify melamine in three different powdered milks is presented. The goal has been achieved by training convolutional neural networks (CNN) with a photograph database. The three types of milk are of different brands, each with their own fat content and intended final consumer (age-based distinction). The adulte...
Conference Paper
Full-text available
Innovation is becoming a fundamental part of many sectors and environments, including universities, not only regarding their research but also how education is approached. In this line, one of the ways to achieve these objectives is based on a collaboration between society, which presents a need to be solved, and the University. This society-univer...
Article
In this work, convolutional neural networks were trained with images of ground coffee captured with a camera. The objective is the quality control and detection of adulterations of Arabica and Robusta coffee with other foods such as chicory and barley. The convolutional algorithms are based on the previously trained ResNet34 convolutional system co...
Article
In order to develop a rice adulteration detection system, a deep learning method was implemented to classify simple photographs of five different types of rice has been established. Firstly, the different types of rice were milled and sieved, enabling the imaging of not only grain, but also rice in flour format. Pure rice types as well as mixtures...
Book
Full-text available
Within our Research Topic, six unique manuscripts which contain different trained machine and deep learning algorithms to model chemical processes have been published. The optimized intelligent tools cover applications within several scopes including (i) chemical and physicochemical molecule property predictions, (ii) compound ranking, identificati...
Chapter
Extra virgin olive oil (EVOO) is a key component of many healthy diets as well as a significant contributor to the economies of several countries. For these reasons, an acceptable quality of the EVOO must be achieved and maintained during all stages of production and distribution, from the olive tree itself to the final consumer. This chapter will...
Chapter
Given the importance of presenting tools capable of combating fraudulent activities such as adulterations, this chapter presents a method for their detection based on capturing representative thermographic images of pure and adulterated extra-virgin olive oil (EVOO) during their cooling process. This thermodynamic evolution, captured by a thermogra...
Chapter
Olive oil has characteristics that make it unique to any other edible oil, many of which are cataloged as healthy and the reason why it is a key component of beneficial diets. However, the production of this oil involves the generation of a large amount of waste that is dangerous for the environment. Derived molecules with a significant environment...
Chapter
The quality control of food and, in particular, of extra-virgin olive oil (EVOO), is required to protect the consumer, producers, and economies worldwide. Extra-virgin oil has been the target of fraudulent activities at an international level for many years. This chapter presents a collection of both administrative and chemical tools for quality co...
Preprint
Full-text available
Tuberculosis (TB) is an infectious disease that threatens >10 million people annually. Despite advances in TB diagnostics, millions of patients continue to receive insufficient diagnosis, as TB symptoms are not specific. Many existing bio-diagnostic tests are slow, have low sensitivity and/or specificity, and can be too expensive or complex for res...
Article
In this work, a thermographic camera and intelligent algorithms have been used to classify five different types of rice (Oryza sativa L.) in grain or flour format and to detect mixtures of different rice types which act as adulterated samples. For this purpose, more than 63,000 thermographic images of pure rice (Japonica and Indica) and their mixtu...
Conference Paper
Full-text available
In recent years, there have been calls for change in higher education to meet the needs of today's society. A higher education that enables our students to offer solutions to struggling areas of our society. Innovative and differentiating solutions from what we have been used to until now. In view of these needs, it is necessary to unite the societ...
Article
In this work, intelligent algorithms and fluorescent measurements have been integrated into a portable system to evaluate the storage conditions and detect adulterations of wines such as water and ethanol. More than 700 spectra derived from the analysis of three types of either large-scale or artisanal Muscatel wines of European origin (French and...
Article
Full-text available
Within our Research Topic, six unique manuscripts which contain different trained machine and deep learning algorithms to model chemical processes have been published. The optimized intelligent tools cover applications within several scopes including (i) chemical and physicochemical molecule property predictions, (ii) compound ranking, identificati...
Article
Given that honey is among the top ten foods with the highest adulteration rate in the European Union, in this research, a tool has been developed to tackle this malpractice. The combination of laser-induced breakdown spectroscopy (LIBS) and chaotic parameters has been employed to classify six European honeys of different botanical origins as well a...
Article
A new and reliable method to detect adulterations is presented in this work by comparing the thermal evolution of pure and adulterated extra virgin olive oil (EVOO) during its cooling process. For this purpose, algorithms based on convolutional neural networks have been tested for the analysis and classification of different thermographic images of...
Article
Full-text available
Utilizing historical clinical datasets to guide future treatment choices is beneficial for patients and physicians. Machine learning and feature selection algorithms (namely, Fisher’s discriminant ratio, Kruskal-Wallis’ analysis, and Relief-F) have been combined in this research to analyse a SEER database containing clinical features from de-identi...
Article
In this research, 56 samples of pure honey have been mixed with different concentrations of rice syrup simulating a set of adulterated samples. A thermographic camera was used to extract data regarding the thermal development of the honey. The resulting infrared images were processed via convolutional neural networks (CNNs), a subset of algorithms...
Article
In this research, more than 27,000 images (samples) of five different types of rice (Oryza sativa L.) have been used to design and validate a deep learning-based system to carry out their classification. A typical photographic camera was used to obtain images from five different varieties of rice, which will be used for their classification after p...
Article
Different types of intelligent chaotic algorithms have been used for the determination and quantification of adulterants in Sherry vinegar. The product analyzed is one of the most exclusive and high-priced vinegars in the world, with protected designation of origin “Manzanilla-Sanlúcar de Barrameda”, from the Spanish province of Cádiz. It is produc...
Article
In the present research, storage conditions of extra virgin olive oil (EVOO) have been monitored using cost-effective fluorescence sensors integrated with intelligent algorithms. Three different Spanish pure EVOOs (Arbequina, Cornicabra, and Picual varieties), as well as samples adulterated with expired EVOO, were kept under different environmental...
Article
A computerized approach to quickly, easily, and efficiently detect discharged sewage of the cheese sector into rivers or reservoirs has been presented in this work. It is based on developing and/or training linear regression, linear multiple regression, and multilayer perceptron-based models using the data obtained from measuring different contamin...
Article
The concentration of sheep cheese whey (CW) in water obtained from two Spanish reservoirs, two Spanish rivers, and distilled water has been estimated by combining spectroscopic measurements, obtained with light-emitting diodes (LEDs), and linear or non-linear algorithms. The concentration range of CW that has been studied covers from 0 to 25% in we...
Article
Extra virgin olive oil (EVOO), the star of the Mediterranean diet, is a valuable product within the food sector. In certain cases, due to specific and special olive varietals and blends, as well as organoleptic properties, EVOOs are even authenticated with protected designation of origin (PDO) labels. Because of this, false labeling and even adulte...
Article
One of the most profitable products from the Mediterranean basin is extra virgin olive oil (EVOO), and, therefore, some of them have protected designation of origin (PDO) labels. In order to prevent fraudulent practices, a method to quantify adulterants has been developed. 459 binary blends composed of PDO EVOO in date (Saqura, Oleoestepa, and Duqu...
Poster
To determine the risk of thyroid cancer outcomes through use of artificial neural networks (ANN).
Article
In this work, a method to quantify binary and ternary mixtures composed of extra virgin olive oil (protected designation of origin “Siurana”), soybean oil, and sweet almond oil is presented. The analytical approach is based on visible spectroscopy coupled with algorithmic tools of diverse natures (partial least squares and artificial neural network...
Article
Sheep cheese whey (SCW) is a by-product from the dairy industry, and due to its composition, it is very hazardous for natural bodies of water. However, illegal discharges of this product have been commonly reported in watercourses and reservoirs. To prevent this type of actions, a simple and affordable sensor has been designed and validated using d...
Conference Paper
Full-text available
In this summary, a teaching technique to learn relevant food engineering and chemical engineering concepts has been presented. This method has been tested experimentally for the last two years in a class which belongs to the Food Science and Technology Bachelor’s Degree in the Complutense University of Madrid in Spain, and it is based on the induct...
Article
One of the main attributes of extra virgin olive oil (EVOO) is that it possesses multiple advantages for human health, which makes quality control of this functional food an attractive action. In the present research, samples of two different EVOOs (Almazara del Ebro and As Pontis) were held under three different temperature conditions (3 �C, 40 �C...
Poster
Full-text available
Production of microcrystalline cellulose as food additive from orange tree trimmings, rapeseed stalks and garlic straw, by different chemical treatments.
Poster
Full-text available
Is the method OK to produce E466 (CMC) from agrowaste? Is CMC produced like this OK for the food industry?
Article
A set of 10 honeys comprising a diverse range of botanical origins have been successfully characterized through fluorescence spectroscopy using inexpensive light-emitting diodes (LEDs) as light sources. It has been proven that each LED-honey combination tested originates a unique emission spectrum, which enables the authentication of every honey, b...
Article
It is well known that the quality of the olives used to produce olive oil is directly related to the quality of this product. In this research, the classification of olives according to their quality grade has been achieved by combining image processing and mathematical modeling. The images of 190 different olives of four varietals (Ascolano, Manza...
Conference Paper
Full-text available
Los cambios que han surgido en la era de la información, han originado que las universidades intervengan en la resolución de problemas económicos, sociales y culturales; es por ello que quienes se desenvuelven en estos medios deben proporcionar respuestas a la consolidación del encuentro universidad-sociedad (Guevara, 2006). Teniendo en cuenta que...
Conference Paper
Full-text available
Cada vez con más frecuencia los alumnos universitarios acuden a las áreas de empleo y emprendimiento de sus universidades para obtener recursos de cara a su inserción laboral. Una de las principales dificultades que encuentran, es la preparación para las entrevistas de trabajo a las que se tendrán que enfrentar una vez que quieran acceder al mercad...
Article
Multiple sclerosis (MS) is the most common chronic neurological disease affecting young adults. MS diagnosis is based on clinical characteristics and confirmed by examination of the cerebrospinal fluids or by magnetic resonance imaging of the brain and/or spinal cord. However, neither of the current diagnostic procedures are adequate as a routine t...
Article
Discovering the volatile signature of cancer cells is an emerging approach in cancer research, as it may contribute to a fast and simple diagnosis of tumors in vivo and in vitro. One of the main contributors to such a volatile signature is hyperglycolysis, which characterizes the cancerous cell. The metabolic perturbation in cancer cells is known a...
Article
The identification and quantification of binary blends of refined olive oil with four different extra virgin olive oil (EVOO) varietals (Picual, Cornicabra, Hojiblanca and Arbequina) was carried out with a simple method based on combining visible spectroscopy and non-linear artificial neural networks (ANNs). The data obtained from the spectroscopic...
Article
Chemical sensors based on programmable molecularly modified gold nanoparticles are tailored for the detection and discrimination between the breathprint of irritable bowel syndrome (IBS) and inflammatory bowel diseases (IBD). The sensors are examined in both lab- and real-world clinical conditions. The results reveal a discriminative power accuracy...
Article
Two of the biggest challenges in medicine today are the need to detect diseases in a non-invasive manner, and to differentiate between patients using a single diagnostic tool. The current study targets these two challenges by developing a molecularly-modified Silicon Nanowire Field Effect Transistors (SiNW FETs) and showing its use in the detection...
Article
Cancer cells prefer hyperglycolysis versus oxidative phosphorylation, even in the presence of oxygen. This phenomenon is used through the FDG-PET scans, and may affect the exhaled volatile signature. This study investigates the volatile signature in lung cancer (LC) before and after an oral glucose tolerance test (OGTT) to determine if tumor cells'...
Cover Page
An ambipolar organic field-effect transistor (OFET) based on poly(diketopyrrolopyrrole-terthiophene) (PDPPHD-T3) is shown by P. Sonar, H. Haick, and co-workers on page 4012 to sensitively detect xylene isomers at low to 40 ppm level in multiple sensing features. Combined with pattern-recognition algorithms, a sole ambipolar FET sensor, rather than...
Article
Concentrations within the micromole range have been accurately determined for mixtures of two common aromatic volatile organic compounds (VOCs) that are hazardous for both the environment and human health: styrene and 1,2,4-trimethylbenzene. This task has been developed by combining UV/Vis absorption measurements and intelligent modelling based on...
Article
An ambipolar poly(diketopyrrolopyrrole-terthiophene)-based field-effect transistor (FET) sensitively detects xylene isomers at low ppm levels with multiple sensing features. Combined with pattern-recognition algorithms, a sole ambipolar FET sensor, rather than arrays of sensors, can discriminate highly similar xylene structural isomers from one ano...
Article
Multiple binary mixtures of different kinds of vinegars have been analyzed through UV-Vis absorption. Two types of mathematical models (multiple linear regression (MLR) and artificial neural network (ANN)) have been employed to identify and quantify the components of such blends. Six different vinegars were used to prepare these mixtures, each one...
Conference Paper
Full-text available
Inspired by the actual structure and mechanism of biological neurons, artificial neural networks (ANNs) were created and have become a relevant part of computational artificial intelligence [1]. ANNs are a set of non-linear algorithms that have been successfully implemented for countless applications as they can be trained to originate highly relia...
Article
A series of models based on artificial neural networks (ANNs) have been designed to estimate thermophysical properties of different amino acid-based ionic liquids (AAILs). Three different databases of AAILs were modeled with these algorithms with the goal set to estimate density, viscosity, refractive index, ionic conductivity, and thermal expansio...
Article
The high production rate of new ionic liquids (ILs) is leading towards an increase of new powerful mathematical models to better understand their properties. In this paper, an example of it is presented. The estimation of density, viscosity, and thermal expansion coefficient of choline carboxylate ILs within a range of temperatures of 293.15 and 35...
Article
The identification of vinegars produced from six different raw materials (red wine, white wine, cider, apple, molasses, and rice) in blends has been accomplished through their UV-Vis spectra and different mathematical models: partial least squares discriminant analysis (PLS-DA) and artificial neural networks (ANNs). The registered spectra were math...
Article
A common phenomenon that takes place in bottled extra virgin olive oil (EVOO) is the photooxidation of its pigments, especially chlorophyll, which acts as a singlet-oxygen sensitizer. This translates into a severe decrease of quality, potentially leading to oxidized and rancid olive oils by the time they reach to the consumers. In this current rese...
Article
In this research, the detection and quantification of adulterants in one of the most common variety of EVOO has been successfully carried out. Visible absorption information was collected from binary mixtures of Picual EVOO with one of four adulterants; refined olive oil, orujo olive oil, sunflower oil, and corn oil. The data gathered from the abso...
Article
The Atacama Desert is the driest and one of the most life-limiting places on Earth. Despite the extreme conditions, microbial endolithic communities have been found inside halite rocks. The presence of these microbial communities is possible due to the hygroscopic properties of evaporitic rocks composed of sodium chloride. It is important to eluci...
Article
Lycopene is one of the most powerful antioxidants present in tomato products due to the presence of conjugated double bonds in their chemical structure that allows capturing reactive oxygen species (ROS). Lycopene has attracted positive attention due to the evidence which suggests an inverse correlation between the consumption of lycopene rich food...
Article
Dialkylimidazolium-based ionic liquids (ILs) are one of the most employed and accessible ILs. These novel chemicals possess unique physicochemical properties which, unfortunately, are greatly altered by impurities. A simple method to evaluate the purity level of ILs is proposed, as a direct relationship exists between refractive index (RI) and puri...
Article
Ionic liquids (ILs) are chemical compounds which are being more and more employed due to their advantageous properties which are useful in many chemical and industrial fields. The study of the physicochemical properties of ILs and their mixtures is essential in order to improve their efficacy. One way to study these properties is by designing power...
Article
A mathematical model based on artificial neural networks (ANNs) has been designed to achieve the estimation of the conductivity of three different binary mixtures containing water and one of the following imidazolium-based ionic liquids: 3-ethyl-methylimidazolium tetrafluoroborate ([emim][BF4]), 3-butyl-methylimidazolium tetrafluoroborate ([bmim][B...
Article
The estimation of density and refractive index of ternary mixtures comprised of the ionic liquid (IL) 1-Butyl-3-methylimidazolium tetrafluoroborate, 2-Propanol, and water at a fixed temperature of 298.15 K has been attempted through artificial neural networks. The obtained results indicate that the selection of this mathematical approach was a well...
Conference Paper
Full-text available
Cancer is currently one of deadliest and most feared diseases in the developed world, and, particularly, lung cancer (LC) is one of the most common types and has one of the highest death/incidence ratios. An early diagnosis for LC is probably the most accessible possibility to try and save patients and lower this ratio. Recently, research concernin...
Article
A wide variety of olive oil samples from different origins and olive types have been chemically analyzed, as well as evaluated by trained sensory panelists. Six chemical parameters have been obtained for each sample (free fatty acids, peroxide value, two UV absorption parameters (K232 and K268), 1,2-diacylglycerol content, and pyropheophytins), and...