Buenas prácticas de innovación docente en la Universidad de Córdoba

La iniciativa expone la adaptación y el cambio de temario de la asignatura Contaminación Atmosférica de quinto curso de la licenciatura de Ciencias Ambientales al tercer curso del grado del mismo nombre, siguiendo los criterios del Espacio Europeo de Educación Superio

Hollow-Fiber Liquid-Phase Micro-Extraction Method for the Simultaneous Derivatization, Extraction, and Pre-concentration of Organotin Compounds from Packed Fruit Juices

Organotin compounds are widely employed as pesticides and fungicides in agriculture and as stabilizers for the industrial manufacture of polyvinyl chloride and other polymers. Accordingly, these endocrine disruptors can be found in a variety of foods and beverages. In the present study, we describe the optimization of a hollow-fiber liquid-phase micro-extraction approach for the simultaneous derivatization, extraction, and pre-concentration of butyltin species from commercial fruit juices with the aim of investigating their migration from the packaging. The best extraction efficiencies were achieved by using hexane as the acceptor solvent and a polypropylene fiber length of 2 cm, whereas the agitation speed, extraction temperature, and total extraction time were set at 1100 rpm, 25 ºC, and 10 min, respectively. Using these optimal conditions, the method was satisfactorily validated in terms of linearity (5–1000 µg L−1), limits of detection (0.8–1.8 µg L−1), recovery (80.5–92.1%), intraday precision (10.2–13.1%), inter-day precision (11.0–15.5%), matrix effect (83.2–91.8%), accuracy (85.2–95.2%), specificity, and carryover. The application of this technique to commercial samples obtained from a local market demonstrated that levels of organotin species in packed fruit juices are negligible, in agreement with the limits established by the European Food Safety Authority (0.14 mg of total organotin compounds per kg of food).Open Access funding provided by Universidad de Huelva/ CBUA thanks to the CRUE-CSIC agreement with Springer Natur

Simple and Sustainable Preparation of Cathodes for Li−S Batteries: Regeneration of Granular Activated Carbon from the Odor Control System of a Wastewater Treatment Plant

To obtain a wide variety of green materials, numerous investigations have been undertaken on industrial waste that can act as sustainable resources. The use of hazardous wastes derived from wastewater treatment plants (WWTPs), especially the activated carbon used in odor control systems, is a highly abundant, scalable, and cost-effective strategy. The reuse of waste materials is a key aspect, especially for the sustainable development of emerging energy storage systems, such as lithium-sulfur (Li−S) batteries. Herein, granular active carbons from two WWTP treatment lines were regenerated in air at low temperature and utilized as the sulfur host with micro-/mesoporous framework. The resulting regenerated carbon and sulfur composites were employed as cathodes for Li−S cells. The SL-ACt3@S composite electrode with 60 wt% loaded sulfur exhibited a remarkable initial capacity of 1100 mAh g−1 at C/10 rate and higher than 800 mAh g−1 at C/2. Even at a rate of 1C, it maintained a high capacity of almost 700 mAh g−1 with a capacity retention of 85.4 % after 350 cycles, demonstrating a very low capacity fading of only 0.042 % per cycle. It is essential to note that the coulombic efficiency was always higher than 96 % during all the cycles. In this proposal, the only used source material was expired carbon from WWTP that was obtained with a simple and effective regeneration process. This “trash into treasure” strategy leads to a new way for using hazardous waste material as high-performance and environmentally safe electrodes for advanced Li−S batteries

Memoria organizacional basada en casos para dar soporte al proceso de aseguramiento de calidad

En los últimos años han surgido numerosas propuestas de modelos y herramientas de gestión del conocimiento que tienen como objetivo administrar y almacenar el conocimiento organizacional. Sin embargo, la mayoría de ellas almacena el conocimiento en forma no estructurada o semi-estructurada, dificultando el procesamiento semántico y automático de dicho conocimiento. En este trabajo se propone un marco conceptual y el diseño de una memoria organizacional basada en casos de manera que pueda ser utilizada para aprender, resolver problemas y como apoyo en la toma de decisiones. El modelo propuesto está basado en una ontología y usa tecnologías de Web Semántica, lo que facilita el reuso, la interoperabilidad y el procesamiento automático por parte de agentes. Para ilustrar la utilidad de este modelo, se muestra un caso práctico: un sistema de recomendación como apoyo al área de aseguramiento de calidad en Ingeniería de Software.With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management have arisen. However, most of them store the knowledge in a not structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this work we introduce a conceptual framework as well as the design of an organizational memory based on cases, so that it can be used to learn, to solve problems, and as support in decision making as well. The proposed model is based on an ontology that allows using semantic Web technologies, which in turn facilitates the reuse, the interoperability and the automatic processing by agents. In order to illustrate the utility of this model, a practical case is shown: A recommendation system as support to the quality assurance area in Software Engineering.III Workshop de Ingeniería de Software y Bases de Datos (WISBD)Red de Universidades con Carreras en Informática (RedUNCI

Memoria organizacional basada en casos para dar soporte al proceso de aseguramiento de calidad

En los últimos años han surgido numerosas propuestas de modelos y herramientas de gestión del conocimiento que tienen como objetivo administrar y almacenar el conocimiento organizacional. Sin embargo, la mayoría de ellas almacena el conocimiento en forma no estructurada o semi-estructurada, dificultando el procesamiento semántico y automático de dicho conocimiento. En este trabajo se propone un marco conceptual y el diseño de una memoria organizacional basada en casos de manera que pueda ser utilizada para aprender, resolver problemas y como apoyo en la toma de decisiones. El modelo propuesto está basado en una ontología y usa tecnologías de Web Semántica, lo que facilita el reuso, la interoperabilidad y el procesamiento automático por parte de agentes. Para ilustrar la utilidad de este modelo, se muestra un caso práctico: un sistema de recomendación como apoyo al área de aseguramiento de calidad en Ingeniería de Software.With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management have arisen. However, most of them store the knowledge in a not structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this work we introduce a conceptual framework as well as the design of an organizational memory based on cases, so that it can be used to learn, to solve problems, and as support in decision making as well. The proposed model is based on an ontology that allows using semantic Web technologies, which in turn facilitates the reuse, the interoperability and the automatic processing by agents. In order to illustrate the utility of this model, a practical case is shown: A recommendation system as support to the quality assurance area in Software Engineering.III Workshop de Ingeniería de Software y Bases de Datos (WISBD)Red de Universidades con Carreras en Informática (RedUNCI

Uso de ontologías para memoria organizacional

Las experiencias previas y lecciones aprendidas de las personas son una clase de conocimiento valioso para una organización, a la hora de resolver situaciones similares (casos). Una forma de aprovechar mejor dicho conocimiento, es contar con una memoria organizacional que lo administre y almacene en forma eficaz y eficiente. En esta línea de investigación presentamos el diseño de un marco conceptual de memoria organizacional basada en casos usando ontologías y tecnologías de Web semántica. La estructuración del conocimiento en casos, facilita su captura, recuperación, transferencia y reuso.Eje: Ingeniería de Software y Base de DatosRed de Universidades con Carreras en Informática (RedUNCI

Soporte a la recomendación en aseguramiento de calidad usando memoria organizacional

Las lecciones aprendidas por las personas son una clase de conocimiento valioso para una organización (por ej., de software), a la hora de resolver situaciones similares (casos). Una forma de aprovechar mejor dicho conocimiento, de manera que dé soporte a la recomendación en la toma de decisiones, es contar con una memoria organizacional que lo administre y procese en forma consistente y eficaz. En este trabajo a partir de la ontología de memoria organizacional basada en casos, mostramos su utilidad en una herramienta de recomendación en aseguramiento de calidad para proyectos de medición y evaluación.VI Workshop Ingeniería de Software (WIS)Red de Universidades con Carreras en Informática (RedUNCI

Soporte a la recomendación en aseguramiento de calidad usando memoria organizacional

Las lecciones aprendidas por las personas son una clase de conocimiento valioso para una organización (por ej., de software), a la hora de resolver situaciones similares (casos). Una forma de aprovechar mejor dicho conocimiento, de manera que dé soporte a la recomendación en la toma de decisiones, es contar con una memoria organizacional que lo administre y procese en forma consistente y eficaz. En este trabajo a partir de la ontología de memoria organizacional basada en casos, mostramos su utilidad en una herramienta de recomendación en aseguramiento de calidad para proyectos de medición y evaluación.VI Workshop Ingeniería de Software (WIS)Red de Universidades con Carreras en Informática (RedUNCI

Ultrasound-assisted extraction of phenolic compounds from blueberry leaves using natural deep eutectic solvents (NADES) for the valorization of agrifood wastes

The food industry demands novel green solvents for the extraction of bioactive compounds, particularly from residues of the agrifood industry. Herein, an ultrasound-assisted method has been developed for the environmentally friendly extraction of phenolic compounds from blueberry leaves using natural deep eutectic solvents (NADES). After the screening of multiple NADES, the best extraction efficiencies in terms of total phenol content and antioxidant activity were provided by NADES composed of lactate, sodium acetate, and water (3:1:2), and of choline chloride and oxalic acid (1:1). Using a Box–Behnken experimental design, the optimal extraction conditions were achieved by sonicating for 45 min at 65 °C and using solvent:sample ratios of 15 and 75 (v/w) for the NADES based on lactic acid and choline, respectively. Compared with conventional organic solvents, the use of these NADES composed of lactic acid and choline provided superior performance for the recovery of phenolic compounds (1.6-fold and 2.2-fold greater efficacy, respectively) and antioxidant compounds (1.6-fold and 2.8-fold greater efficacy, respectively). The chromatographic characterization of the extracts obtained under these optimized conditions evidenced that the lactic-based NADES enabled the extraction of a wide range of hydroxycinnamic acids and flavonol derivatives, whereas the choline-based NADES was selective towards the extraction of anthocyanins. These results indicate that the proposed method could represent an excellent green alternative for the recovery of phenolic compounds from plant materials and agrifood wastes, with improved extraction efficacy and/or selectivity compared to that provided by traditional organic solvents.Funding for open access charge: Universidad de Huelva / CBUA. This work has received funding from Junta de Andalucía, within the framework of the “Programa Operativo FEDER 2014–2020” (UHU- 202063), and from the Spanish Ministry of Science and Innovation (PID2020-116698RB-I00). The authors also thank ALGRY Química S.L. and D. Jos´e Ma P´erez V´azquez for kindly supplying the choline chloride reagent. R.G.-D. is recipient of a “Miguel Servet” fellowship (CP21/ 00120) funded by Instituto de Salud Carlos III