467 research outputs found

    MATLAB as a tool as Analysis and Problem Solving Competency Development in Chemical Engineering Degree using MATLAB

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    [EN] Analysis and solving problems is a Chemical Engineering student capability. In order to develop this ability, activities that encompass problem-solving by students may involve problems in real-world settings. In Chemical Engineering degree, MATLAB is a numerical software package that helps in the process of designing, evaluating and implementing a strategy to answer an open-ended question or achieve a desired goal.  In this context, Matlab is software used in process simulation. Several lectures of Escuela Politécnica Superior d’Alcoi presented an innovation and improvement educational research project (PIME) in order to used MATLAB, like coordination teaching tool between some subjects.The principal purpose of this work is the students improvement using, as has been mentioned previously, MATLAB in a problem-based learning methodology. This methodology allows a more effective coordination in the degree. The present paper presents a real- world problem and the common elements of most problem-solving contexts and how is designed to function across all disciplines.López-Pérez, M.; Cardona, SC.; Lora, J.; Abad, A. (2016). MATLAB as a tool as Analysis and Problem Solving Competency Development in Chemical Engineering Degree using MATLAB. Multidisciplinary Journal for Education, Social and Technological Sciences. 3(2):15-29. doi:10.4995/muse.2016.4623SWORD152932Armengol Asparó, C. et al (2009). "La coordinación académica en la Universidad. Estratégias para una educación de calidad". Revista Electrónica Interuniversitaria de Formación del Profesorado, 12 (2), 121-144.Gozalvez, J.M., Lora, J. (2013) Cálculo de operaciones de separación con Mathcad ISBN 978-84-9048-094-6 Editorial Universitat Politècnica de Valencia López-Pérez, María-Fernanda, Abad.,A (2012) How Promote scientific competency in experimentation subjects in chemical engineering degree, I International Symposium on Innovation and Quality in Engineering Education ISBN. 978-84-695-3891-3López-Pérez, María-Fernanda, Abad., A. (2013) Módulos de aprendizaje y ABP, como pilares centrales de la metodología docente activa, en la planificación de una asignatura a implantar, XXI Congreso Universitario de Innovación Educativa en las Ense-anzas Técnicas (CUIEET) ISBN. 978-84-608-1217-3Morales J.F., Pe-a L.M. (2013) Propuesta metodológica para la ense-anza del cálculo en ingeniería, basada en la modelación matemática., VII CIBEMVilla, A., Poblete, M., Aprendizaje basado en competencias (2007) Ediciones Mensajero. I.S.B.N. 978-84-271-2833-0 pp. 32

    Unstationary film model for the determination of absolute gas-liquid kinetic rate constants: ozonation of Acid Red 27, Acid Orange 7, and Acid Blue 129

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    A method for the determination of absolute kinetic rate constants is proposed using an unstationary film model. This methodology avoids the experimental determination of parameters like the enhancement factor or the Hatta number which are usually model-dependent. The mathematical model is general for gas-liquid systems with irreversible second order reactions. An optimization procedure based on artificial neural networks is used to estimate the initial guess of the parameters and the subsequent application of Gauss-Newton algorithm for the final nonlinear parameter estimation. The model is tested with the ozonation reaction of Acid Red 27, Acid Orange 7 and Acid Blue 129. The second-order kinetic rate constants for the direct reaction with O3 are 1615±93, 609±83, and 49±2M−1s−1, respectivelyJF acknowledges the support of the doctoral fellowship from the Universitat Politecnica de Valencia (UPV-PAID-FPI-2010-04).Ferre Aracil, J.; Cardona Navarrete, SC.; López Pérez, MF.; Abad Sempere, A.; Navarro-Laboulais, J. (2013). Unstationary film model for the determination of absolute gas-liquid kinetic rate constants: ozonation of Acid Red 27, Acid Orange 7, and Acid Blue 129. Ozone: Science and Engineering. 35(6):423-437. https://doi.org/10.1080/01919512.2013.815104S423437356Biń, A. K. (2006). Ozone Solubility in Liquids. Ozone: Science & Engineering, 28(2), 67-75. doi:10.1080/01919510600558635Cardona, S. C., López, F., Abad, A., & Navarro-Laboulais, J. (2010). On bubble column reactor design for the determination of kinetic rate constants in gas-liquid systems. The Canadian Journal of Chemical Engineering, 88(4), 491-502. doi:10.1002/cjce.20327Chang, C. S., & Rochelle, G. T. (1982). Mass transfer enhanced by equilibrium reactions. Industrial & Engineering Chemistry Fundamentals, 21(4), 379-385. doi:10.1021/i100008a011Dachipally, P., & Jonnalagadda, S. B. (2011). Kinetics of ozone-initiated oxidation of textile dye, Amaranth in aqueous systems. Journal of Environmental Science and Health, Part A, 46(8), 887-897. doi:10.1080/10934529.2011.580201Danckwerts, P. V., & Lannus, A. (1970). Gas-Liquid Reactions. Journal of The Electrochemical Society, 117(10), 369C. doi:10.1149/1.2407312Das, A. K., & Das, P. K. (2009). Bubble Evolution through a Submerged Orifice Using Smoothed Particle Hydrodynamics: Effect of Different Thermophysical Properties. Industrial & Engineering Chemistry Research, 48(18), 8726-8735. doi:10.1021/ie900350hFerrell, R. T., & Himmelblau, D. M. (1967). Diffusion coefficients of nitrogen and oxygen in water. Journal of Chemical & Engineering Data, 12(1), 111-115. doi:10.1021/je60032a036Gerlach, D., Alleborn, N., Buwa, V., & Durst, F. (2007). Numerical simulation of periodic bubble formation at a submerged orifice with constant gas flow rate. Chemical Engineering Science, 62(7), 2109-2125. doi:10.1016/j.ces.2006.12.061Glasscock, D. A., & Rochelle, G. T. (1989). Numerical simulation of theories for gas absorption with chemical reaction. AIChE Journal, 35(8), 1271-1281. doi:10.1002/aic.690350806Gomes, A. C., Nunes, J. C., & Simões, R. M. S. (2010). Determination of fast ozone oxidation rate for textile dyes by using a continuous quench-flow system. Journal of Hazardous Materials, 178(1-3), 57-65. doi:10.1016/j.jhazmat.2010.01.043Gupta, P., Al-Dahhan, M. H., Duduković, M. P., & Mills, P. L. (2000). A novel signal filtering methodology for obtaining liquid phase tracer responses from conductivity probes. Flow Measurement and Instrumentation, 11(2), 123-131. doi:10.1016/s0955-5986(99)00025-4Hoigné, J., & Bader, H. (1983). Rate constants of reactions of ozone with organic and inorganic compounds in water—I. Water Research, 17(2), 173-183. doi:10.1016/0043-1354(83)90098-2Jamialahmadi, M., Zehtaban, M. R., Müller-Steinhagen, H., Sarrafi, A., & Smith, J. M. (2001). Study of Bubble Formation Under Constant Flow Conditions. Chemical Engineering Research and Design, 79(5), 523-532. doi:10.1205/02638760152424299Johnson, P. N., & Davis, R. A. (1996). Diffusivity of Ozone in Water. Journal of Chemical & Engineering Data, 41(6), 1485-1487. doi:10.1021/je9602125King, C. J. (1966). Turbulent Liquid Phase Mass Transfer at Free Gas-Liquid Interface. Industrial & Engineering Chemistry Fundamentals, 5(1), 1-8. doi:10.1021/i160017a001Ledakowicz, S., Maciejewska, R., Perkowski, J., & Bin, A. (2001). Ozonation of Reactive Blue 81 in the bubble column. Water Science and Technology, 44(5), 47-52. doi:10.2166/wst.2001.0248Lewis, W. K., & Whitman, W. G. (1924). Principles of Gas Absorption. Industrial & Engineering Chemistry, 16(12), 1215-1220. doi:10.1021/ie50180a002Lopez, A., Benbelkacem, H., Pic, J. ‐S., & Debellefontaine, H. (2004). Oxidation pathways for ozonation of azo dyes in a semi‐batch reactor: A kinetic parameters approach. Environmental Technology, 25(3), 311-321. doi:10.1080/09593330409355465Meldon, J. H., Olawoyin, O. O., & Bonanno, D. (2007). Analysis of Mass Transfer with Reversible Chemical Reaction†. Industrial & Engineering Chemistry Research, 46(19), 6140-6146. doi:10.1021/ie0705397Navarro-Laboulais, J., Cardona, S. C., Torregrosa, J. I., Abad, A., & López, F. (2006). Structural identifiability analysis of the dynamic gas–liquid film model. AIChE Journal, 52(8), 2851-2863. doi:10.1002/aic.10901Navarro-Laboulais, J., Cardona, S. C., Torregrosa, J. I., Abad, A., & López, F. (2008). Practical identifiability analysis in dynamic gas–liquid reactors. Computers & Chemical Engineering, 32(10), 2382-2394. doi:10.1016/j.compchemeng.2007.12.004Rapp, T., & Wiesmann, U. (2007). Ozonation of C.I. Reactive Black 5 and Indigo. Ozone: Science & Engineering, 29(6), 493-502. doi:10.1080/01919510701617959Tanaka, M., Girard, G., Davis, R., Peuto, A., & Bignell, N. (2001). Recommended table for the density of water between 0  C and 40  C based on recent experimental reports. Metrologia, 38(4), 301-309. doi:10.1088/0026-1394/38/4/3Tizaoui, C., & Grima, N. (2011). Kinetics of the ozone oxidation of Reactive Orange 16 azo-dye in aqueous solution. Chemical Engineering Journal, 173(2), 463-473. doi:10.1016/j.cej.2011.08.014Von Gunten, U. (2003). Ozonation of drinking water: Part I. Oxidation kinetics and product formation. Water Research, 37(7), 1443-1467. doi:10.1016/s0043-1354(02)00457-

    Biomarkers of Morbid Obesity and Prediabetes by Metabolomic Profiling of Human Discordant Phenotypes

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    Metabolomic studies aimed to dissect the connection between the development of type 2 diabetes and obesity are still scarce. In the present study, fasting serum from sixty-four adult individuals classified into four sex-matched groups by their BMI [non-obese versus morbid obese] and the increased risk of developing diabetes [prediabetic insulin resistant state versus non-prediabetic non-insulin resistant] was analyzed by LC- and FIA-ESI-MS/MS-driven metabolomic approaches. Altered levels of [lyso]glycerophospholipids was the most specific metabolic trait associated to morbid obesity, particularly lysophosphatidylcholines acylated with margaric, oleic and linoleic acids [lysoPC C17:0: R=-0.56, p=0.0003; lysoPC C18:1: R=-0.61, p=0.0001; lysoPC C18:2 R=-0.64, p<0.0001]. Several amino acids were biomarkers of risk of diabetes onset associated to obesity. For instance, glutamate significantly associated with fasting insulin [R=0.5, p=0.0019] and HOMA-IR [R=0.46, p=0.0072], while glycine showed negative associations [fasting insulin: R=-0.51, p=0.0017; HOMA-IR: R=-0.49, p=0.0033], and the branched chain amino acid valine associated to prediabetes and insulin resistance in a BMI-independent manner [fasting insulin: R=0.37, p=0.0479; HOMA-IR: R=0.37, p=0.0468]. Minority sphingolipids including specific [dihydro]ceramides and sphingomyelins also associated with the prediabetic insulin resistant state, hence deserving attention as potential targets for early diagnosis or therapeutic intervention

    The Ethyl Acetate Extract of Leaves of Ugni molinae Turcz. Improves Neuropathological Hallmarks of Alzheimer's Disease in Female APPswe/PS1dE9 Mice Fed with a High Fat Diet

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    The most common type of dementia is Alzheimer's disease (AD), a progressive neurodegenerative disease characterized by impairment in cognitive performance in aged individuals. Currently, there is no effective pharmacological treatment that cures the disease due to the lack of knowledge on the actual mechanisms involved in its pathogenesis. In the last decades, the amyloidogenic hypothesis has been the most studied theory trying to explain the origin of AD, yet it does not address all the concerns relating to its development. In the present study, a possible new preclinical treatment of AD was evaluated using the ethyl acetate extract (EAE) of leaves of Ugni molinae Turcz. (synonym Myrtus ugni Molina Family Myrtacea). The effects were assessed on female transgenic mice from a preclinical model of familial AD (APPswe/PS1dE9) combined with a high fat diet. This preclinical model was selected due to the already available experimental and observational data proving the relationship between obesity, gender, metabolic stress, and cognitive dysfunction; related to characteristics of sporadic AD. According to chemical analyses, EAE would contain polyphenols such as tannins, flavonoid derivatives, and phenolic acids, as well as pentacyclic triterpenoids that exhibit neuroprotective, anti-inflammatory, and antioxidant effects. In addition, the treatment evidenced its capacity to prevent deterioration of memory capacity and reduction of progression speed of AD neuropathology

    Characterization of fruit and vegetable waste as an alternative ruminant feed in Pachuca, Hidalgo, Mexico

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    Objective: to characterize and measure the amount of fruit residues generated during four weeks in a commercial establishment dedicated to the elaboration and sale of fruit juices and cocktails in Pachuca City, Hidalgo, Mexico. Design/Methodology/Approximation: The total of fruit residues generated in a working day (one day) in an establishment dedicated to the sale of juices and smoothies in the city of Pachuca de Soto, Hidalgo, Mexico was collected from Monday to Saturday during four weeks in September and October 2019. The residues were daily weighed and separated according to the type of fruit and analyzed for dry matter, crude protein and ash. The design was completely random. Results: the orange peel predominated, and the volume of residues was constant accumulating 465 kg during the four weeks. The moisture content was from 75 to 94%, depending on the type of fruit. The CP concentration was from 4.33 to 6.95% except for the papaya peel (11.55% CP) Limitations/Implications: An alternative to avoid landfill deposition of this wastes is to subject it to a silage process and thus reduce negative impacts on the environment, generate valuable products and reduce pressure on natural resources. Findings/Conclusions: The amount of fruit and vegetable wastes is constant throughout the week, its proportion of dry matter is low, but it can be combined with cereal straw and ensiled to generate valuable products and avoid its deposition in landfills.Objective: Measure and characterize the fruit and vegetable waste generated duringa working day in a commercial juice and fruit cocktail establishment in Pachuca,Hidalgo, Mexico, for four weeks.Design/ methodology/ approach: The total amount of fruit waste generated duringa working day in a commercial juice and smoothie establishment in Pachuca,Hidalgo, Mexico, was collected Monday through Saturday for four weeks inSeptember and October 2019. Waste was weighted and separated daily into thedifferent types of fruit. We then analyzed their dry matter (DM), crude protein (CP),and ash (Ash) content. The experimental design was completely randomized.Results: The amount of fruit and vegetable waste was constant during the fourcollection weeks; the total amount of waste collected was 465 kg; orange peel wasthe most abundant waste (75%). The moisture content ranged from 75 to 94% basedon the type of fruit. The CP concentration ranged from 4.33 to 6.95%, except for thepapaya peel, which had a CP content of 11.55%.Limitations/ implications: An alternative to avoid landfilling this type of organicwaste is to subject it to a silage-making process; this would reduce negative 2environmental impacts, generate value-added products, and reduce the pressure onnatural resources.Findings/ conclusions: The amount of fruit and vegetable waste produced everyweek was constant for four weeks. Although their dry matter content is low, thesewastes, mixed with cereal straw and subjected to a silage-making process, can resultin value-added products, and avoid landfilling

    Fine mapping of bone structure and strength QTLs in heterogeneous stock rat

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    We previously demonstrated that skeletal structure and strength phenotypes vary considerably in heterogeneous stock (HS) rats. These phenotypes were found to be strongly heritable, suggesting that the HS rat model represents a unique genetic resource for dissecting the complex genetic etiology underlying bone fragility. The purpose of this study was to identify and localize genes associated with bone structure and strength phenotypes using 1524 adult male and female HS rats between 17 to 20 weeks of age. Structure measures included femur length, neck width, head width; femur and lumbar spine (L3-5) areas obtained by DXA; and cross-sectional areas (CSA) at the midshaft, distal femur and femoral neck, and the 5th lumbar vertebra measured by CT. In addition, measures of strength of the whole femur and femoral neck were obtained. Approximately 70,000 polymorphic SNPs distributed throughout the rat genome were selected for genotyping, with a mean linkage disequilibrium coefficient between neighboring SNPs of 0.95. Haplotypes were estimated across the entire genome for each rat using a multipoint haplotype reconstruction method, which calculates the probability of descent at each locus from each of the 8 HS founder strains. The haplotypes were then tested for association with each structure and strength phenotype via a mixed model with covariate adjustment. We identified quantitative trait loci (QTLs) for structure phenotypes on chromosomes 3, 8, 10, 12, 17 and 20, and QTLs for strength phenotypes on chromosomes 5, 10 and 11 that met a conservative genome-wide empiric significance threshold (FDR=5%; P<3×10(-6)). Importantly, most QTLs were localized to very narrow genomic regions (as small as 0.3 Mb and up to 3 Mb), each harboring a small set of candidate genes, both novel and previously shown to have roles in skeletal development and homeostasis
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