Quality of life associated with treatment adherence in patients with type 2 diabetes: a cross-sectional study

<p>Abstract</p> <p>Background</p> <p>Despite certain contradictions, an association has been identified between adherence to drug treatment and the quality of life in patients with type 2 diabetes. The contradictions observed emphasize the importance of using different methods to measure treatment adherence, or the association of psychological precursors of adherence with quality of life. For this reason, we have used an indirect method to measure adherence (pill count), as well as two adherence behaviour precursors (attitude and knowledge), to assess the association between adherence and the quality of life in type 2 diabetes patients.</p> <p>Methods</p> <p>A cross-sectional comparative study on a random sample of 238 type 2 diabetic patients was carried out over one year in four family medicine units of the Mexican Institute of Social Security (IMSS) in Aguascalientes, Mexico. Treatment adherence was measured using the indirect method of pill count to assess adherence behaviour, obtaining information at two home visits. In the first we recorded the medicine prescribed and in the second, we counted the medicine remaining to determine the proportion of the medicine taken. We also assessed two adherence behaviour precursors: the patients' knowledge regarding their medical prescription measured through a structured questionnaire; and attitudes to treatment adherence using a Likert scale. Quality of life was measured through the WHOQOL-100 (the WHO Quality of Life questionnaire). Information concerning both knowledge and attitude was obtained through interviews with the patients. A multiple linear regression model was constructed to establish the relationship between each quality of life domain and the variables related to adherence, controlling for covariates.</p> <p>Results</p> <p>There was no association between quality of life and treatment adherence behaviour. However, the combination of strong knowledge and a positive attitude was associated with five of the six quality of life domains.</p> <p>Conclusion</p> <p>The results suggest that it is important to explore psychological precursors of treatment adherence behaviour in type 2 diabetic patients. Indeed, we consider that it will be useful to carry out interventions that change negative attitudes towards treatment adherence and that promote medical prescription knowledge, which may help to improve the quality of life of such patients.</p

Plant-wide modelling in wastewater treatment: showcasing experiences using the Biological Nutrient Removal Model

[EN] Plant-wide modelling can be considered an appropriate approach to represent the current complexity in water resource recovery facilities, reproducing all known phenomena in the different process units. Nonetheless, novel processes and new treatment schemes are still being developed and need to be fully incorporated in these models. This work presents a short chronological overview of some of the most relevant plant-wide models for wastewater treatment, as well as the authors' experience in plant-wide modelling using the general model BNRM (Biological Nutrient Removal Model), illustrating the key role of general models (also known as supermodels) in the field of wastewater treatment, both for engineering and research.Seco, A.; Ruano, MV.; Ruiz-Martínez, A.; Robles Martínez, Á.; Barat, R.; Serralta Sevilla, J.; Ferrer, J. (2020). Plant-wide modelling in wastewater treatment: showcasing experiences using the Biological Nutrient Removal Model. Water Science & Technology. 81(8):1700-1714. https://doi.org/10.2166/wst.2020.056S17001714818Barat, R., Montoya, T., Seco, A., & Ferrer, J. (2011). Modelling biological and chemically induced precipitation of calcium phosphate in enhanced biological phosphorus removal systems. Water Research, 45(12), 3744-3752. doi:10.1016/j.watres.2011.04.028Barat, R., Serralta, J., Ruano, M. V., Jiménez, E., Ribes, J., Seco, A., & Ferrer, J. (2013). Biological Nutrient Removal Model No. 2 (BNRM2): a general model for wastewater treatment plants. Water Science and Technology, 67(7), 1481-1489. doi:10.2166/wst.2013.004Batstone, D. J., Hülsen, T., Mehta, C. M., & Keller, J. (2015). Platforms for energy and nutrient recovery from domestic wastewater: A review. Chemosphere, 140, 2-11. doi:10.1016/j.chemosphere.2014.10.021Borrás F. L. 2008 Técnicas microbiológicas aplicadas a la identificación y cuantificación de organismos presentes en sistemas EBPR (Microbiological Techniques Applied to Identification and Quantification of Organisms Present in EBPR Systems). PhD Thesis, Universitat Politècnica de València, Valencia, Spain.Claros, J., Jiménez, E., Aguado, D., Ferrer, J., Seco, A., & Serralta, J. (2013). Effect of pH and HNO2 concentration on the activity of ammonia-oxidizing bacteria in a partial nitritation reactor. Water Science and Technology, 67(11), 2587-2594. doi:10.2166/wst.2013.132Copp, J. B., Jeppsson, U., & Rosen, C. (2003). TOWARDS AN ASM1 – ADM1 STATE VARIABLE INTERFACE FOR PLANT-WIDE WASTEWATER TREATMENT MODELING. Proceedings of the Water Environment Federation, 2003(7), 498-510. doi:10.2175/193864703784641207Dorofeev, A. G., Nikolaev, Y. A., Kozlov, M. N., Kevbrina, M. V., Agarev, A. M., Kallistova, A. Y., & Pimenov, N. V. (2017). Modeling of anammox process with the biowin software suite. Applied Biochemistry and Microbiology, 53(1), 78-84. doi:10.1134/s0003683817010100Drewnowski, J., Zaborowska, E., & Hernandez De Vega, C. (2018). Computer Simulation in Predicting Biochemical Processes and Energy Balance at WWTPs. E3S Web of Conferences, 30, 03007. doi:10.1051/e3sconf/20183003007Durán F. 2013 Modelación matemática del tratamiento anaerobio de aguas residuales urbanas incluyendo las bacterias sulfatorreductoras. Aplicación a un biorreactor anaerobio de membranas (Mathematical Model of Urban Wastewater Anaerobic Treatment Including Sulphate Reducing Bacteria. Application to an Anaerobic Membrane Bioreactor). PhD Thesis, Universitat Politècnica de València, Valencia, Spain.Ekama, G. A. (2009). Using bioprocess stoichiometry to build a plant-wide mass balance based steady-state WWTP model. Water Research, 43(8), 2101-2120. doi:10.1016/j.watres.2009.01.036EPA 2006 User's manual version 4.03 2006. Available from: https://www.epa.gov/ceam/minteqa2-equilibrium-speciation-model (accessed July 2019).Fernández-Arévalo, T., Lizarralde, I., Fdz-Polanco, F., Pérez-Elvira, S. I., Garrido, J. M., Puig, S., … Ayesa, E. (2017). Quantitative assessment of energy and resource recovery in wastewater treatment plants based on plant-wide simulations. Water Research, 118, 272-288. doi:10.1016/j.watres.2017.04.001Ferrer, J., Seco, A., Serralta, J., Ribes, J., Manga, J., Asensi, E., … Llavador, F. (2008). DESASS: A software tool for designing, simulating and optimising WWTPs. Environmental Modelling & Software, 23(1), 19-26. doi:10.1016/j.envsoft.2007.04.005Ferrer J., Seco A., Ruano M. V., Ribes J., Serralta J., Gómez T., Robles A. 2011 LoDif BioControl® Control Software, Intellectual Property. Main Institution: Universitat de València; Universitat Politècnica de València.Flores-Alsina, X., Corominas, L., Snip, L., & Vanrolleghem, P. A. (2011). Including greenhouse gas emissions during benchmarking of wastewater treatment plant control strategies. Water Research, 45(16), 4700-4710. doi:10.1016/j.watres.2011.04.040Flores-Alsina, X., Arnell, M., Amerlinck, Y., Corominas, L., Gernaey, K. V., Guo, L., … Jeppsson, U. (2014). Balancing effluent quality, economic cost and greenhouse gas emissions during the evaluation of (plant-wide) control/operational strategies in WWTPs. Science of The Total Environment, 466-467, 616-624. doi:10.1016/j.scitotenv.2013.07.046Flores-Alsina, X., Kazadi Mbamba, C., Solon, K., Vrecko, D., Tait, S., Batstone, D. J., … Gernaey, K. V. (2015). A plant-wide aqueous phase chemistry module describing pH variations and ion speciation/pairing in wastewater treatment process models. Water Research, 85, 255-265. doi:10.1016/j.watres.2015.07.014Ge, Z. (2017). Review on data-driven modeling and monitoring for plant-wide industrial processes. Chemometrics and Intelligent Laboratory Systems, 171, 16-25. doi:10.1016/j.chemolab.2017.09.021Grau, P., de Gracia, M., Vanrolleghem, P. A., & Ayesa, E. (2007). A new plant-wide modelling methodology for WWTPs. Water Research, 41(19), 4357-4372. doi:10.1016/j.watres.2007.06.019Grau, P., Copp, J., Vanrolleghem, P. A., Takács, I., & Ayesa, E. (2009). A comparative analysis of different approaches for integrated WWTP modelling. Water Science and Technology, 59(1), 141-147. doi:10.2166/wst.2009.589Henze M., Gujer W., Mino T., van Loosdrecht M. C. M. 2000 Activated Sludge Models ASM1, ASM2, ASM2d and ASM3. IWA Scientific and Technical Report No.9. IWA Publishing, London, UK.Jeppsson, U., & Pons, M.-N. (2004). The COST benchmark simulation model—current state and future perspective. Control Engineering Practice, 12(3), 299-304. doi:10.1016/j.conengprac.2003.07.001Jeppsson, U., Rosen, C., Alex, J., Copp, J., Gernaey, K. V., Pons, M.-N., & Vanrolleghem, P. A. (2006). Towards a benchmark simulation model for plant-wide control strategy performance evaluation of WWTPs. Water Science and Technology, 53(1), 287-295. doi:10.2166/wst.2006.031Ji, X., Liu, Y., Zhang, J., Huang, D., Zhou, P., & Zheng, Z. (2018). Development of model simulation based on BioWin and dynamic analyses on advanced nitrate nitrogen removal in deep bed denitrification filter. Bioprocess and Biosystems Engineering, 42(2), 199-212. doi:10.1007/s00449-018-2025-xJiménez, E., Giménez, J. B., Ruano, M. V., Ferrer, J., & Serralta, J. (2011). Effect of pH and nitrite concentration on nitrite oxidation rate. Bioresource Technology, 102(19), 8741-8747. doi:10.1016/j.biortech.2011.07.092Jiménez, E., Giménez, J. B., Seco, A., Ferrer, J., & Serralta, J. (2012). Effect of pH, substrate and free nitrous acid concentrations on ammonium oxidation rate. Bioresource Technology, 124, 478-484. doi:10.1016/j.biortech.2012.07.079Kazadi Mbamba, C., Flores-Alsina, X., John Batstone, D., & Tait, S. (2016). Validation of a plant-wide phosphorus modelling approach with minerals precipitation in a full-scale WWTP. Water Research, 100, 169-183. doi:10.1016/j.watres.2016.05.003Kazadi Mbamba, C., Lindblom, E., Flores-Alsina, X., Tait, S., Anderson, S., Saagi, R., … Jeppsson, U. (2019). Plant-wide model-based analysis of iron dosage strategies for chemical phosphorus removal in wastewater treatment systems. Water Research, 155, 12-25. doi:10.1016/j.watres.2019.01.048Liu, Y., Peng, L., Ngo, H. H., Guo, W., Wang, D., Pan, Y., … Ni, B.-J. (2016). Evaluation of Nitrous Oxide Emission from Sulfide- and Sulfur-Based Autotrophic Denitrification Processes. Environmental Science & Technology, 50(17), 9407-9415. doi:10.1021/acs.est.6b02202Lizarralde, I., Fernández-Arévalo, T., Brouckaert, C., Vanrolleghem, P., Ikumi, D. S., Ekama, G. A., … Grau, P. (2015). A new general methodology for incorporating physico-chemical transformations into multi-phase wastewater treatment process models. Water Research, 74, 239-256. doi:10.1016/j.watres.2015.01.031Lizarralde, I., Fernández-Arévalo, T., Manas, A., Ayesa, E., & Grau, P. (2019). Model-based opti mization of phosphorus management strategies in Sur WWTP, Madrid. Water Research, 153, 39-52. doi:10.1016/j.watres.2018.12.056Maere, T., Verrecht, B., Moerenhout, S., Judd, S., & Nopens, I. (2011). BSM-MBR: A benchmark simulation model to compare control and operational strategies for membrane bioreactors. Water Research, 45(6), 2181-2190. doi:10.1016/j.watres.2011.01.006Mannina, G., Ekama, G., Caniani, D., Cosenza, A., Esposito, G., Gori, R., … Olsson, G. (2016). Greenhouse gases from wastewater treatment — A review of modelling tools. Science of The Total Environment, 551-552, 254-270. doi:10.1016/j.scitotenv.2016.01.163Martí, N., Barat, R., Seco, A., Pastor, L., & Bouzas, A. (2017). Sludge management modeling to enhance P-recovery as struvite in wastewater treatment plants. Journal of Environmental Management, 196, 340-346. doi:10.1016/j.jenvman.2016.12.074Moretti, P., Choubert, J.-M., Canler, J.-P., Buffière, P., Pétrimaux, O., & Lessard, P. (2017). Dynamic modeling of nitrogen removal for a three-stage integrated fixed-film activated sludge process treating municipal wastewater. Bioprocess and Biosystems Engineering, 41(2), 237-247. doi:10.1007/s00449-017-1862-3Nagy, J., Kaljunen, J., & Toth, A. J. (2019). Nitrogen recovery from wastewater and human urine with hydrophobic gas separation membrane: experiments and modelling. Chemical Papers, 73(8), 1903-1915. doi:10.1007/s11696-019-00740-xNewhart, K. B., Holloway, R. W., Hering, A. S., & Cath, T. Y. (2019). Data-driven performance analyses of wastewater treatment plants: A review. Water Research, 157, 498-513. doi:10.1016/j.watres.2019.03.030Nopens, I., Batstone, D. J., Copp, J. B., Jeppsson, U., Volcke, E., Alex, J., & Vanrolleghem, P. A. (2009). An ASM/ADM model interface for dynamic plant-wide simulation. Water Research, 43(7), 1913-1923. doi:10.1016/j.watres.2009.01.012Nopens, I., Benedetti, L., Jeppsson, U., Pons, M.-N., Alex, J., Copp, J. B., … Vanrolleghem, P. A. (2010). Benchmark Simulation Model No 2: finalisation of plant layout and default control strategy. Water Science and Technology, 62(9), 1967-1974. doi:10.2166/wst.2010.044Ontiveros, G. A., & Campanella, E. A. (2013). Environmental performance of biological nutrient removal processes from a life cycle perspective. Bioresource Technology, 150, 506-512. doi:10.1016/j.biortech.2013.08.059Penya-Roja, J. M., Seco, A., Ferrer, J., & Serralta, J. (2002). Calibration and Validation of Activated Sludge Model No.2d for Spanish Municipal Wastewater. Environmental Technology, 23(8), 849-862. doi:10.1080/09593332308618360Pretel, R., Robles, A., Ruano, M. V., Seco, A., & Ferrer, J. (2016). A plant-wide energy model for wastewater treatment plants: application to anaerobic membrane bioreactor technology. Environmental Technology, 37(18), 2298-2315. doi:10.1080/09593330.2016.1148903Pretel, R., Robles, A., Ruano, M. V., Seco, A., & Ferrer, J. (2016). Economic and environmental sustainability of submerged anaerobic MBR-based (AnMBR-based) technology as compared to aerobic-based technologies for moderate-/high-loaded urban wastewater treatment. Journal of Environmental Management, 166, 45-54. doi:10.1016/j.jenvman.2015.10.004Rehman, U., Audenaert, W., Amerlinck, Y., Maere, T., Arnaldos, M., & Nopens, I. (2017). How well-mixed is well mixed? Hydrodynamic-biokinetic model integration in an aerated tank of a full-scale water resource recovery facility. Water Science and Technology, 76(8), 1950-1965. doi:10.2166/wst.2017.330Rieger L., Gillot S., Langergraber G., Ohtsuki T., Shaw A., Takacs I., Winkler S. 2012 Guidelines for Using Activated Sludge Models Scientific and Technical report No. 21. EWA Task Group on Good Modelling Practice. IWA Publishing Volume 11.Robles, A., Ruano, M. V., Ribes, J., Seco, A., & Ferrer, J. (2014). Model-based automatic tuning of a filtration control system for submerged anaerobic membrane bioreactors (AnMBR). Journal of Membrane Science, 465, 14-26. doi:10.1016/j.memsci.2014.04.012Robles, A., Capson-Tojo, G., Ruano, M. V., Seco, A., & Ferrer, J. (2018). Real-time optimization of the key filtration parameters in an AnMBR: Urban wastewater mono-digestion vs. co-digestion with domestic food waste. Waste Management, 80, 299-309. doi:10.1016/j.wasman.2018.09.031Ruano, M. V., Serralta, J., Ribes, J., Garcia-Usach, F., Bouzas, A., Barat, R., … Ferrer, J. (2012). Application of the general model ‘Biological Nutrient Removal Model No. 1’ to upgrade two full-scale WWTPs. Environmental Technology, 33(9), 1005-1012. doi:10.1080/09593330.2011.604877Seco, A., Ribes, J., Serralta, J., & Ferrer, J. (2004). Biological nutrient removal model No.1 (BNRM1). Water Science and Technology, 50(6), 69-70. doi:10.2166/wst.2004.0361Serralta, J., Ferrer, J., Borrás, L., & Seco, A. (2004). An extension of ASM2d including pH calculation. Water Research, 38(19), 4029-4038. doi:10.1016/j.watres.2004.07.009Shoener, B. D., Schramm, S. M., Béline, F., Bernard, O., Martínez, C., Plósz, B. G., … Guest, J. S. (2019). Microalgae and cyanobacteria modeling in water resource recovery facilities: A critical review. Water Research X, 2, 100024. doi:10.1016/j.wroa.2018.100024Solon, K., Flores-Alsina, X., Kazadi Mbamba, C., Ikumi, D., Volcke, E. I. P., Vaneeckhaute, C., … Jeppsson, U. (2017). Plant-wide modelling of phosphorus transformations in wastewater treatment systems: Impacts of control and operational strategies. Water Research, 113, 97-110. doi:10.1016/j.watres.2017.02.007Solon, K., Jia, M., & Volcke, E. I. P. (2019). Process schemes for future energy-positive water resource recovery facilities. Water Science and Technology, 79(9), 1808-1820. doi:10.2166/wst.2019.183Vanrolleghem, P. A., Rosen, C., Zaher, U., Copp, J., Benedetti, L., Ayesa, E., & Jeppsson, U. (2005). Continuity-based interfacing of models for wastewater systems described by Petersen matrices. Water Science and Technology, 52(1-2), 493-500. doi:10.2166/wst.2005.055

Intelligent alarms detection for the analysis of system fault impact on business

The tools for fault impact analysis are important for the deployment of critical mission systems. These tools can be also used as a development phase aid. We introduce several concepts related to "business alarms". Business alarms are an approximation to the company's business conceptual scheme driven by the business rules from systems conceptual schemes. In order to specify them we propose the utilization of Knowledge Engineering typical techniques. The object of alarm detection for impact analysis of fault business systems is to reduce the breach between business controls and typical control system. For it, furthermore specifying an alarm visualization system for the direction responsible of the systems, we are going to specificity the alarm transmission to a center with following purpose: Development support Help desk with an end user problems and resolution expert database Contingency maneuvers coordination The rush in the projects makes that most of the time the errors are not taken into account into the development phase, and a transactional structure for handling them is added later. Sometimes this structure is not completely implemented and the error handling is left to the database engines and operating systems mechanisms. The fact of the existence of a development support center can facilitate and allow the adding of code chunks with the purpose of centralized debugging. The support center support will have a rule based main kernel that will do a nexus between development and help desk to final users. This kernel will allow: give a greater quality help to final users relate user faults with systems faults in the development manager format. Moreover, the own nature of the objectives, this eases the acceptation of the knowledge engineer in the organization (one of the primary steps to make possible knowledge acquisition). It’s going to be a company’s direction responsibility to present him as the developer of this center and help desk for development and final users. The role of the knowledge engineer covers a wide spectrum in a critical mission environment, from the support of the original design to the startup and tuning of the end user’s help desk. Due to the strong relationship between time and alarms, we verified the importance of having and unique time for all the company’s computer systems, or provide the necessary mechanism in order to adjust the time registry of each separate system. The formalization of rules and knowledge in the area of critical mission systems allows the company to make predictions of the dimensioning and correct forecasting of the systems taking into account their critical nature. As results of the processes of systematization and formalization of knowledge we have: Rules for the platform specification in order to forecast a scheme of high availability and contingency. We documented the need of the creation of a software alarms and a development support center based in this alarms. The cost issues related to the startup of an end user help desk were verified. At last, a prototype program with demonstration purpose was build in order to show the exposed concepts.Sistemas Inteligentes - Sesión de póstersRed de Universidades con Carreras en Informática (RedUNCI

Overview of the Evolution of Silica-Based Chromo-Fluorogenic Nanosensors

[EN] This review includes examples of silica-based, chromo-fluorogenic nanosensors with the aim of illustrating the evolution of the discipline in recent decades through relevant research developed in our group. Examples have been grouped according to the sensing strategies. A clear evolution from simply functionalized materials to new protocols involving molecular gates and the use of highly selective biomolecules such as antibodies and oligonucleotides is reported. Some final examples related to the evolution of chromogenic arrays and the possible use of nanoparticles to communicate with other nanoparticles or cells are also included. A total of 64 articles have been summarized, highlighting different sensing mechanisms.This research was funded by the Spanish Government (projects RTI2018-100910-B-C41, RTI2018-100910-B-C44, and AGL2015-70235-C2-2-R) and the Generalitat Valenciana (project PROMETEO/2018/024) for support. B.L.-T. is grateful to the Spanish MEC for her FPU grant. Additionally, L.P. thanks the Spanish MEC for his FPI fellowship.Pla, L.; Lozano-Torres, B.; Martínez-Máñez, R.; Sancenón Galarza, F.; Ros-Lis, JV. (2019). Overview of the Evolution of Silica-Based Chromo-Fluorogenic Nanosensors. Sensors. 19(23):1-23. https://doi.org/10.3390/s19235138S1231923Martínez-Máñez, R., & Sancenón, F. (2006). Chemodosimeters and 3D inorganic functionalised hosts for the fluoro-chromogenic sensing of anions. Coordination Chemistry Reviews, 250(23-24), 3081-3093. doi:10.1016/j.ccr.2006.04.016Dutta, S. (2019). Point of care sensing and biosensing using ambient light sensor of smartphone: Critical review. TrAC Trends in Analytical Chemistry, 110, 393-400. doi:10.1016/j.trac.2018.11.014Huang, X., Xu, D., Chen, J., Liu, J., Li, Y., Song, J., … Guo, J. (2018). Smartphone-based analytical biosensors. The Analyst, 143(22), 5339-5351. doi:10.1039/c8an01269eYu, L., Qiao, Y., Miao, L., He, Y., & Zhou, Y. (2018). Recent progress in fluorescent and colorimetric sensors for the detection of ions and biomolecules. Chinese Chemical Letters, 29(11), 1545-1559. doi:10.1016/j.cclet.2018.09.005Martínez-Máñez, R., Sancenón, F., Hecht, M., Biyikal, M., & Rurack, K. (2010). Nanoscopic optical sensors based on functional supramolecular hybrid materials. Analytical and Bioanalytical Chemistry, 399(1), 55-74. doi:10.1007/s00216-010-4198-2Sancenón, F., Pascual, L., Oroval, M., Aznar, E., & Martínez-Máñez, R. (2015). Gated Silica Mesoporous Materials in Sensing Applications. ChemistryOpen, 4(4), 418-437. doi:10.1002/open.201500053Han, W. S., Lee, H. Y., Jung, S. H., Lee, S. J., & Jung, J. H. (2009). Silica-based chromogenic and fluorogenic hybrid chemosensor materials. Chemical Society Reviews, 38(7), 1904. doi:10.1039/b818893aDescalzo, A. B., Jiménez, D., Haskouri, J. E., Beltrán, D., Amorós, P., Marcos, M. D., … Soto, J. (2002). A new method for fluoride determination by using fluorophores and dyes anchored onto MCM-41Electronic supplementary information (ESI) available: IR spectra, SEM images, X-ray diffraction patterns and TG/TD analysis. See http://www.rsc.org/suppdata/cc/b1/b111128k/. Chemical Communications, (6), 562-563. doi:10.1039/b111128kComes, M., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., Soto, J., Villaescusa, L. A., … Beltrán, D. (2004). Chromogenic Discrimination of Primary Aliphatic Amines in Water with Functionalized Mesoporous Silica. Advanced Materials, 16(20), 1783-1786. doi:10.1002/adma.200400143García-Acosta, B., Comes, M., Bricks, J. L., Kudinova, M. A., Kurdyukov, V. V., Tolmachev, A. I., … Amorós, P. (2006). Sensory hybrid host materials for the selective chromo-fluorogenic detection of biogenic amines. Chem. Commun., (21), 2239-2241. doi:10.1039/b602497aDescalzo, A. B., Rurack, K., Weisshoff, H., Martínez-Máñez, R., Marcos, M. D., Amorós, P., … Soto, J. (2005). Rational Design of a Chromo- and Fluorogenic Hybrid Chemosensor Material for the Detection of Long-Chain Carboxylates. Journal of the American Chemical Society, 127(1), 184-200. doi:10.1021/ja045683nRos-Lis, J. V., Casasús, R., Comes, M., Coll, C., Marcos, M. D., Martínez-Máñez, R., … Rurack, K. (2008). A Mesoporous 3D Hybrid Material with Dual Functionality for Hg2+Detection and Adsorption. Chemistry - A European Journal, 14(27), 8267-8278. doi:10.1002/chem.200800632Climent, E., Biyikal, M., Gawlitza, K., Dropa, T., Urban, M., Costero, A. M., … Rurack, K. (2016). A Rapid and Sensitive Strip-Based Quick Test for Nerve Agents Tabun, Sarin, and Soman Using BODIPY-Modified Silica Materials. Chemistry - A European Journal, 22(32), 11138-11142. doi:10.1002/chem.201601269Santos-Figueroa, L. E., Giménez, C., Agostini, A., Aznar, E., Marcos, M. D., Sancenón, F., … Amorós, P. (2013). Selective and Sensitive Chromofluorogenic Detection of the Sulfite Anion in Water Using Hydrophobic Hybrid Organic-Inorganic Silica Nanoparticles. Angewandte Chemie International Edition, 52(51), 13712-13716. doi:10.1002/anie.201306688Climent, E., Casasús, R., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., & Soto, J. (2008). Chromo-fluorogenic sensing of pyrophosphate in aqueous media using silica functionalised with binding and reactive units. Chemical Communications, (48), 6531. doi:10.1039/b813199fCliment, E., Agostini, A., Moragues, M. E., Martínez‐Máñez, R., Sancenón, F., Pardo, T., & Marcos, M. D. (2013). A Simple Probe for the Colorimetric Detection of Carbon Dioxide. Chemistry – A European Journal, 19(51), 17301-17304. doi:10.1002/chem.201302991El Sayed, S., Pascual, L., Licchelli, M., Martínez-Máñez, R., Gil, S., Costero, A. M., & Sancenón, F. (2016). Chromogenic Detection of Aqueous Formaldehyde Using Functionalized Silica Nanoparticles. ACS Applied Materials & Interfaces, 8(23), 14318-14322. doi:10.1021/acsami.6b03224Climent, E., Calero, P., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., & Soto, J. (2009). Selective Chromofluorogenic Sensing of Heparin by using Functionalised Silica Nanoparticles Containing Binding Sites and a Signalling Reporter. Chemistry - A European Journal, 15(8), 1816-1820. doi:10.1002/chem.200802074Climent, E., Martí, A., Royo, S., Martínez-Máñez, R., Marcos, M. D., Sancenón, F., … Parra, M. (2010). Chromogenic Detection of Nerve Agent Mimics by Mass Transport Control at the Surface of Bifunctionalized Silica Nanoparticles. Angewandte Chemie International Edition, 49(34), 5945-5948. doi:10.1002/anie.201001088Climent, E., Giménez, C., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., & Soto, J. (2011). Selective and sensitive chromo-fluorogenic sensing of anionic surfactants in water using functionalised silica nanoparticles. Chemical Communications, 47(24), 6873. doi:10.1039/c1cc11393cColl, C., Martínez-Máñez, R., Marcos, M. D., Sancenón, F., & Soto, J. (2007). A Simple Approach for the Selective and Sensitive Colorimetric Detection of Anionic Surfactants in Water. Angewandte Chemie International Edition, 46(10), 1675-1678. doi:10.1002/anie.200603800Calero, P., Aznar, E., Lloris, J. M., Marcos, M. D., Martínez-Máñez, R., Ros-Lis, J. V., … Sancenón, F. (2008). Chromogenic silica nanoparticles for the colorimetric sensing of long-chain carboxylates. Chemical Communications, (14), 1668. doi:10.1039/b718690hPallás, I., Marcos, M., Martínez-Máñez, R., & Ros-Lis, J. (2017). Development of a Textile Nanocomposite as Naked Eye Indicator of the Exposition to Strong Acids. Sensors, 17(9), 2134. doi:10.3390/s17092134Comes, M., Rodríguez-López, G., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., Soto, J., … Beltrán, D. (2005). Host Solids Containing Nanoscale Anion-Binding Pockets and Their Use in Selective Sensing Displacement Assays. Angewandte Chemie International Edition, 44(19), 2918-2922. doi:10.1002/anie.200461511Comes, M., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., Soto, J., Villaescusa, L. A., & Amorós, P. (2008). Hybrid materials with nanoscopic anion-binding pockets for the colorimetric sensing of phosphate in water using displacement assays. Chemical Communications, (31), 3639. doi:10.1039/b804396eComes, M., Aznar, E., Moragues, M., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., … Amorós, P. (2009). Mesoporous Hybrid Materials Containing Nanoscopic «Binding Pockets» for Colorimetric Anion Signaling in Water by using Displacement Assays. Chemistry - A European Journal, 15(36), 9024-9033. doi:10.1002/chem.200900890Calero, P., Hecht, M., Martínez-Máñez, R., Sancenón, F., Soto, J., Vivancos, J. L., & Rurack, K. (2011). Silica nanoparticles functionalised with cation coordination sites and fluorophores for the differential sensing of anions in a quencher displacement assay (QDA). Chemical Communications, 47(38), 10599. doi:10.1039/c1cc13039kLi, Z., Askim, J. R., & Suslick, K. S. (2018). The Optoelectronic Nose: Colorimetric and Fluorometric Sensor Arrays. Chemical Reviews, 119(1), 231-292. doi:10.1021/acs.chemrev.8b00226Salinas, Y., Ros-Lis, J. V., Vivancos, J.-L., Martínez-Máñez, R., Marcos, M. D., Aucejo, S., … Lorente, I. (2012). Monitoring of chicken meat freshness by means of a colorimetric sensor array. The Analyst, 137(16), 3635. doi:10.1039/c2an35211gSalinas, Y., Ros-Lis, J. V., Vivancos, J.-L., Martínez-Máñez, R., Aucejo, S., Herranz, N., … Garcia, E. (2014). A chromogenic sensor array for boiled marinated turkey freshness monitoring. Sensors and Actuators B: Chemical, 190, 326-333. doi:10.1016/j.snb.2013.08.075Salinas, Y., Ros-Lis, J. V., Vivancos, J.-L., Martínez-Máñez, R., Marcos, M. D., Aucejo, S., … Garcia, E. (2014). A novel colorimetric sensor array for monitoring fresh pork sausages spoilage. Food Control, 35(1), 166-176. doi:10.1016/j.foodcont.2013.06.043Zaragozá, P., Ros-Lis, J. V., Vivancos, J.-L., & Martínez-Máñez, R. (2015). Proof of concept of using chromogenic arrays as a tool to identify blue cheese varieties. Food Chemistry, 172, 823-830. doi:10.1016/j.foodchem.2014.09.114Aznar, E., Oroval, M., Pascual, L., Murguía, J. R., Martínez-Máñez, R., & Sancenón, F. (2016). Gated Materials for On-Command Release of Guest Molecules. Chemical Reviews, 116(2), 561-718. doi:10.1021/acs.chemrev.5b00456Coll, C., Bernardos, A., Martínez-Máñez, R., & Sancenón, F. (2012). Gated Silica Mesoporous Supports for Controlled Release and Signaling Applications. Accounts of Chemical Research, 46(2), 339-349. doi:10.1021/ar3001469Llopis-Lorente, A., Lozano-Torres, B., Bernardos, A., Martínez-Máñez, R., & Sancenón, F. (2017). Mesoporous silica materials for controlled delivery based on enzymes. Journal of Materials Chemistry B, 5(17), 3069-3083. doi:10.1039/c7tb00348jCasasús, R., Aznar, E., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., Soto, J., & Amorós, P. (2006). New Methods for Anion Recognition and Signaling Using Nanoscopic Gatelike Scaffoldings. Angewandte Chemie International Edition, 45(40), 6661-6664. doi:10.1002/anie.200602045Climent, E., Martínez-Máñez, R., Sancenón, F., Marcos, M. D., Soto, J., Maquieira, A., & Amorós, P. (2010). Controlled Delivery Using Oligonucleotide-Capped Mesoporous Silica Nanoparticles. Angewandte Chemie, 122(40), 7439-7441. doi:10.1002/ange.201001847Climent, E., Mondragón, L., Martínez-Máñez, R., Sancenón, F., Marcos, M. D., Murguía, J. R., … Pérez-Payá, E. (2013). Selective, Highly Sensitive, and Rapid Detection of Genomic DNA by Using Gated Materials:MycoplasmaDetection. Angewandte Chemie International Edition, 52(34), 8938-8942. doi:10.1002/anie.201302954Ribes, À., Aznar, E., Santiago-Felipe, S., Xifre-Perez, E., Tormo-Mas, M. Á., Pemán, J., … Martínez-Máñez, R. (2019). Selective and Sensitive Probe Based in Oligonucleotide-Capped Nanoporous Alumina for the Rapid Screening of Infection Produced by Candida albicans. ACS Sensors, 4(5), 1291-1298. doi:10.1021/acssensors.9b00169Pla, L., Xifré-Pérez, E., Ribes, À., Aznar, E., Marcos, M. D., Marsal, L. F., … Sancenón, F. (2017). A Mycoplasma Genomic DNA Probe using Gated Nanoporous Anodic Alumina. ChemPlusChem, 82(3), 337-341. doi:10.1002/cplu.201600651Oroval, M., Climent, E., Coll, C., Eritja, R., Aviñó, A., Marcos, M. D., … Amorós, P. (2013). An aptamer-gated silica mesoporous material for thrombin detection. Chemical Communications, 49(48), 5480. doi:10.1039/c3cc42157kOroval, M., Coronado-Puchau, M., Langer, J., Sanz-Ortiz, M. N., Ribes, Á., Aznar, E., … Martínez-Máñez, R. (2016). Surface Enhanced Raman Scattering and Gated Materials for Sensing Applications: The Ultrasensitive Detection ofMycoplasmaand Cocaine. Chemistry - A European Journal, 22(38), 13488-13495. doi:10.1002/chem.201602457Ribes, À., Aznar, E., Bernardos, A., Marcos, M. D., Amorós, P., Martínez-Máñez, R., & Sancenón, F. (2017). Fluorogenic Sensing of Carcinogenic Bisphenol A using Aptamer-Capped Mesoporous Silica Nanoparticles. Chemistry - A European Journal, 23(36), 8581-8584. doi:10.1002/chem.201701024Oroval, M., Coll, C., Bernardos, A., Marcos, M. D., Martínez-Máñez, R., Shchukin, D. G., & Sancenón, F. (2017). Selective Fluorogenic Sensing of As(III) Using Aptamer-Capped Nanomaterials. ACS Applied Materials & Interfaces, 9(13), 11332-11336. doi:10.1021/acsami.6b15164Ribes, À., Santiago-Felipe, S., Bernardos, A., Marcos, M. D., Pardo, T., Sancenón, F., … Aznar, E. (2017). Two New Fluorogenic Aptasensors Based on Capped Mesoporous Silica Nanoparticles to Detect Ochratoxin A. ChemistryOpen, 6(5), 653-659. doi:10.1002/open.201700106Ribes, À., Xifré -Pérez, E., Aznar, E., Sancenón, F., Pardo, T., Marsal, L. F., & Martínez-Máñez, R. (2016). Molecular gated nanoporous anodic alumina for the detection of cocaine. Scientific Reports, 6(1). doi:10.1038/srep38649Climent, E., Bernardos, A., Martínez-Máñez, R., Maquieira, A., Marcos, M. D., Pastor-Navarro, N., … Amorós, P. (2009). Controlled Delivery Systems Using Antibody-Capped Mesoporous Nanocontainers. Journal of the American Chemical Society, 131(39), 14075-14080. doi:10.1021/ja904456dCliment, E., Gröninger, D., Hecht, M., Walter, M. A., Martínez-Máñez, R., Weller, M. G., … Rurack, K. (2013). Selective, Sensitive, and Rapid Analysis with Lateral-Flow Assays Based on Antibody-Gated Dye-Delivery Systems: The Example of Triacetone Triperoxide. Chemistry - A European Journal, 19(13), 4117-4122. doi:10.1002/chem.201300031Climent, E., Martínez-Máñez, R., Maquieira, Á., Sancenón, F., Marcos, M. D., Brun, E. M., … Amorós, P. (2012). Antibody-Capped Mesoporous Nanoscopic Materials: Design of a Probe for the Selective Chromo-Fluorogenic Detection of Finasteride. ChemistryOpen, 1(6), 251-259. doi:10.1002/open.201100008Pascual, L., El Sayed, S., Marcos, M. D., Martínez-Máñez, R., & Sancenón, F. (2017). Acetylcholinesterase-capped Mesoporous Silica Nanoparticles Controlled by the Presence of Inhibitors. Chemistry - An Asian Journal, 12(7), 775-784. doi:10.1002/asia.201700031Climent, E., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., Soto, J., Rurack, K., & Amorós, P. (2009). The Determination of Methylmercury in Real Samples Using Organically Capped Mesoporous Inorganic Materials Capable of Signal Amplification. Angewandte Chemie, 121(45), 8671-8674. doi:10.1002/ange.200904243Candel, I., Bernardos, A., Climent, E., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., … Parra, M. (2011). 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Chemistry - A European Journal, 23(6), 1353-1360. doi:10.1002/chem.201604104Lozano-Torres, B., Pascual, L., Bernardos, A., Marcos, M. D., Jeppesen, J. O., Salinas, Y., … Sancenón, F. (2017). Pseudorotaxane capped mesoporous silica nanoparticles for 3,4-methylenedioxymethamphetamine (MDMA) detection in water. Chemical Communications, 53(25), 3559-3562. doi:10.1039/c7cc00186jColl, C., Casasús, R., Aznar, E., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., … Amorós, P. (2007). Nanoscopic hybrid systems with a polarity-controlled gate-like scaffolding for the colorimetric signalling of long-chain carboxylates. Chem. Commun., (19), 1957-1959. doi:10.1039/b617703dGodoy-Reyes, T. M., Llopis-Lorente, A., García-Fernández, A., Gaviña, P., Costero, A. M., Martínez-Máñez, R., & Sancenón, F. (2019). Acetylcholine-responsive cargo release using acetylcholinesterase-capped nanomaterials. Chemical Communications, 55(41), 5785-5788. doi:10.1039/c9cc02602aOtri, I., El Sayed, S., Medaglia, S., Martínez‐Máñez, R., Aznar, E., & Sancenón, F. (2019). Simple Endotoxin Detection Using Polymyxin‐B‐Gated Nanoparticles. Chemistry – A European Journal, 25(15), 3770-3774. doi:10.1002/chem.201806306Ribes, À., Santiago-Felipe, S., Aviñó, A., Candela-Noguera, V., Eritja, R., Sancenón, F., … Aznar, E. (2018). Design of oligonucleotide-capped mesoporous silica nanoparticles for the detection of miRNA-145 by duplex and triplex formation. Sensors and Actuators B: Chemical, 277, 598-603. doi:10.1016/j.snb.2018.09.026El Sayed, S., Giménez, C., Aznar, E., Martínez-Máñez, R., Sancenón, F., & Licchelli, M. (2015). Highly selective and sensitive detection of glutathione using mesoporous silica nanoparticles capped with disulfide-containing oligo(ethylene glycol) chains. 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Angewandte Chemie International Edition, 58(42), 14986-14990. doi:10.1002/anie.20190886

Towards the optimisation of ceramic-based microbial fuel cells: A three-factor three-level response surface analysis design

© 2019 The Authors Microbial fuel cells (MFCs) are an environment-friendly technology, which addresses two of the most important environmental issues worldwide: fossil fuel depletion and water scarcity. Modelling is a useful tool that allows us to understand the behaviour of MFCs and predict their performance, yet the number of MFC models that could accurately inform a scale-up process, is low. In this work, a three-factor three-level Box–Behnken design is used to evaluate the influence of different operating parameters on the performance of air-breathing ceramic-based MFCs fed with human urine. The statistical analysis of the 45 tests run shows that both anode area and external resistance have more influence on the power output than membrane thickness, in the range studied. The theoretical optimal conditions were found at a membrane thickness of 1.55 mm, an external resistance of 895.59 Ω and an anode area of 165.72 cm2, corresponding to a maximum absolute power generation of 467.63 μW. The accuracy of the second order model obtained is 88.6%. Thus, the three-factor three-level Box–Behnken-based model designed is an effective tool which provides key information for the optimisation of the energy harvesting from MFC technology and saves time in terms of experimental work

Triggered release in lipid bilayer-capped mesoporous silica nanoparticles containing SPION using an alternating magnetic field

[EN] We report here the on-command cargo controlled delivery using an alternating magnetic field (AMF) from magnetic silica mesoporous supports capped with a lipid bilayer. © 2012 The Royal Society of Chemistry.Financial support from the Spanish Government (projects MAT2009-14564-C04-01 and CTQ2008-00690) and the Generalitat Valenciana (project PROMETEO/2009/016) is gratefully acknowledged. E. B. thanks the Spanish Ministry of Education (MEC) for his Jose Castillejo fellowship (JC2010-0090).Bringas, E.; Köysüren, Ö.; Quach, DV.; Mahmoudi, M.; Aznar Gimeno, E.; Roehling, JD.; Marcos Martínez, MD.... (2012). Triggered release in lipid bilayer-capped mesoporous silica nanoparticles containing SPION using an alternating magnetic field. Chemical Communications. 48:5647-5649. https://doi.org/10.1039/C2CC31563GS5647564948Aznar, E., Martínez-Máñez, R., & Sancenón, F. (2009). Controlled release using mesoporous materials containing gate-like scaffoldings. 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(2008). Dual Aperture Control on pH- and Anion-Driven Supramolecular Nanoscopic Hybrid Gate-like Ensembles. Journal of the American Chemical Society, 130(6), 1903-1917. doi:10.1021/ja0756772Liu, R., Liao, P., Liu, J., & Feng, P. (2011). Responsive Polymer-Coated Mesoporous Silica as a pH-Sensitive Nanocarrier for Controlled Release. Langmuir, 27(6), 3095-3099. doi:10.1021/la104973jCliment, E., Martínez-Máñez, R., Sancenón, F., Marcos, M. D., Soto, J., Maquieira, A., & Amorós, P. (2010). Controlled Delivery Using Oligonucleotide-Capped Mesoporous Silica Nanoparticles. Angewandte Chemie International Edition, 49(40), 7281-7283. doi:10.1002/anie.201001847Mal, N. K., Fujiwara, M., & Tanaka, Y. (2003). Photocontrolled reversible release of guest molecules from coumarin-modified mesoporous silica. Nature, 421(6921), 350-353. doi:10.1038/nature01362Aznar, E., Marcos, M. D., Martínez-Máñez, R., Sancenón, F., Soto, J., Amorós, P., & Guillem, C. 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Muons in air showers at the Pierre Auger Observatory: Mean number in highly inclined events

We present the first hybrid measurement of the average muon number in air showers at ultrahigh energies, initiated by cosmic rays with zenith angles between 62° and 80°. The measurement is based on 174 hybrid events recorded simultaneously with the surface detector array and the fluorescence detector of the Pierre Auger Observatory. The muon number for each shower is derived by scaling a simulated reference profile of the lateral muon density distribution at the ground until it fits the data. A 10^19  eV shower with a zenith angle of 67°, which arrives at the surface detector array at an altitude of 1450 m above sea level, contains on average (2.68±0.04±0.48(sys))×10^7 muons with energies larger than 0.3 GeV. The logarithmic gain d ln N_μ/dlnE of muons with increasing energy between 4×1018  eV and 5×1019  eV is measured to be (1.029±0.024±0.030(sys)

Diferenciación y desarrollo postnatal de los tipos de fibras musculares en el cerdo chato murciano

Mediante la técnica que detecta la actividad de la enzima ATPasa miosínica se analiza el tamaño y porcentajes de los distintos tipos de fibras que integran el músculo longísimo lumbar del cerdo “Chato Murciano”, desde el nacimiento hasta los 120 días de edad. Al nacimiento, el músculo longísimo está conformado por un 5,5% de fibras tipo I, de gran tamaño y un 94,5% de fibras tipo II, de menor tamaño. Durante el primer mes de vida postnatal las fibras tipo II se irán diferenciando en nuevas fibras tipo I y subtipos IIA y IIX. A partir de los dos meses tiene lugar un aumento del diámetro fibrilar (hipertrofia) y una distribución fibrilar que recuerda a la de animales adultos. Aunque la hipertrofia observada afecta a los tres tipos de fibras evaluados, parece claro que el crecimiento y conformación muscular en el cerdo chato murciano está muy asociado al notable incremento en diámetro que experimentan las fibras IIX, ya que éstas crecen más rápidamente que las tipo I y IIA

Reconocimiento de la voz mediante una red neuronal de kohonen

El reconocimiento de la voz mediante diversas técnicas tales como cadenas ocultas de Markov y Redes Neuronales es tema de investigación constante, obteniendo resultados de distinta performance según el método elegido. En el presente trabajo se exhiben los resultados de una experiencia en reconocimiento de voz de un individuo, tomando como patrones a ser reconocidos las cifras decimales (0-9), y utilizando como método una red neuronal de Kohonen. Luego de una fase de entrenamiento y sintonización, produce con solo cien neuronas un aceptable resultado de reconocimiento (65%).Eje: Procesamiento distribuido y paralelo. Tratamiento de señalesRed de Universidades con Carreras en Informática (RedUNCI

Reconocimiento de la voz mediante una red neuronal de kohonen

El reconocimiento de la voz mediante diversas técnicas tales como cadenas ocultas de Markov y Redes Neuronales es tema de investigación constante, obteniendo resultados de distinta performance según el método elegido. En el presente trabajo se exhiben los resultados de una experiencia en reconocimiento de voz de un individuo, tomando como patrones a ser reconocidos las cifras decimales (0-9), y utilizando como método una red neuronal de Kohonen. Luego de una fase de entrenamiento y sintonización, produce con solo cien neuronas un aceptable resultado de reconocimiento (65%).Eje: Procesamiento distribuido y paralelo. Tratamiento de señalesRed de Universidades con Carreras en Informática (RedUNCI