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Verónica Rosiles González Ronan Le Lagadec ARELLY PAULINA VARGUEZ CATZIM María Isabel de los Dolores Loría Bastarrachea Abigail Gonzalez Diaz EMANUEL HERNANDEZ NUÑEZ Manuel de Jesús Aguilar Vega MARIA ORTENCIA GONZALEZ DIAZ (2022, [Artículo])
In this paper, we report the synthesis of block and random copolymers of 2-acrylamido-2-methyl-1-propane sulfonic acid (AMPS) and methyl methacrylate (MMA), with different AMPS feed ratios. These solution-processable copolymers with strongly sulfonated acid groups resulted in membranes with tunable ion exchange (IEC) and water absorption capacities. AFM images confirmed the microphase separation of PAMPS-b-PMMA-1:1 block copolymer membrane, annealed under the appropriate conditions. The resulting copolymers from the random combination of a 1:1 molar ratio of AMPS and MMA monomers are effective at enhancing the esterification conversion of acetic acid, when compared with a reaction catalyzed by PAMPS-b-PMMA block copolymers and the previously studied catalytic membranes. With the PAMPS-co-PMMA-1:1 membrane, the esterification reaction using acetic acid achieved 85% isopropyl acetate. These results are closely correlated with the increase in IEC (2.63 mmol H+ g−1 ) and the relationship between weight loss (20.3%) and swelling degree (68%) in 2-propanol. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
BLOCK COPOLYMERS RANDOM COPOLYMERS CATALYTIC MEMBRANES ESTERIFICATION ISOPROPYL ACETATE INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE MATERIALES PROPIEDADES DE LOS MATERIALES PROPIEDADES DE LOS MATERIALES
Alina De J. Zurita Yduarte Diana J. Gallegos Hernández URIEL ALEJANDRO SIERRA GOMEZ GLADIS JUDITH LABRADA DELGADO SALVADOR FERNANDEZ TAVIZON Pedro Jesús Herrera Franco SRINIVAS GODAVARTHI JOSE GILBERTO TORRES TORRES ADRIAN CERVANTES URIBE CLAUDIA GUADALUPE ESPINOSA GONZALEZ (2022, [Artículo])
"New ternary materials TiO2-Al2O3-GnPs (TAG) were prepared by using an innocuous sol-gel method with a slight modification for the addition of graphene nanoplatelets (GnPs), under room temperature and atmospheric pressure. The materials TiO2-Al2O3-GnPs were prepared with variations of concentration between 0.05 and 1 wt % of GnPs. In this study, we analyzed the physicochemical properties by X-ray diffraction (XRD) and UV-Vis spectroscopy, textural properties by N2 physisorption, morphology by scanning and transmission electron microscopy (SEM, TEM) and a chemical species analysis was carried out by X-ray photoelectron spectroscopic (XPS). The photocatalytic activity of each material was evaluated in the degradation of a model molecule, Diuron, a carcinogenic and cytotoxic herbicide used in farm fields. To determine reaction selectivity and mineralization degree, the photocatalytic reaction was monitored by using UV-Vis spectroscopy and total organic carbon (TOC). In samples with higher GnPs’ concentration, a good enough specific surface area of up to 379 m2/g was observed, and reduced band gap energy (2.8 eV) with respect to TiO2 and mixed oxide (3.2 and 3.1 eV respectively), was obtained. These resulting properties were the key indicator so that the materials could be applied as photocatalysts. In the photocatalytic activity determination, TAG-0.75 was the sample that showed the best results with respect to the mixed oxide; the highest photocatalytic conversion, the reduced average life time, and increased mineralization and reaction selectivity."
Graphene nanoplatelets Mixed oxides Sol-gel Photocatalytic degradation BIOLOGÍA Y QUÍMICA QUÍMICA QUÍMICA
Remoción de arsénico mediante procesos de membrana
César Calderón Mólgora María Laura Quezada Jiménez CARLOS HERNANDEZ YAÑEZ (2012, [Artículo])
Con el objeto de verificar la viabilidad técnica y económica de potabilizar mediante procesos de membrana agua contaminada con arsénico, se llevaron a cabo pruebas de tratabilidad utilizando pilotos de coagulación-microfiltración (C-MF) y de nanofiltración (NF) en un pozo, cuya concentración promedio de arsénico fue de 67 μg/l y la conductividad promedio de 975 μS/cm.
Arsénico Coagulación Membranas Microfiltración Nanofiltración INGENIERÍA Y TECNOLOGÍA
Timothy Joseph Krupnik Jeroen Groot (2024, [Artículo])
We investigated alternative cropping and feeding options for large (>10 cows), medium (5–10 cows) and small (≤4 cows) mixed crop – livestock farm types, to enhance economic and environmental performance in Jhenaidha and Meherpur districts – locations with increasing dairy production – in south western Bangladesh. Following focus group discussions with farmers on constraints and opportunities, we collected baseline data from one representative farm from each farm size class per district (six in total) to parameterize the whole-farm model FarmDESIGN. The six modelled farms were subjected to Pareto-based multi-objective (differential evolution algorithm) optimization to generate alternative dairy farm and fodder configurations. The objectives were to maximize farm profit, soil organic matter balance, and feed self-reliance, in addition to minimizing feed costs and soil nitrogen losses as indicators of sustainability. The cropped areas of the six baseline farms ranged from 0.6 to 4.0 ha and milk production per cow was between 1,640 and 3,560 kg year−1. Feed self-reliance was low (17%–57%) and soil N losses were high (74–342 kg ha−1 year−1). Subsequent trade-off analysis showed that increasing profit and soil organic matter balance was associated with higher risks of N losses. However, we found opportunities to improve economic and environmental performance simultaneously. Feed self-reliance could be increased by intensifying cropping and substituting fallow periods with appropriate fodder crops. For the farm type with the largest opportunity space and room to manoeuvre, we identified four strategies. Three strategies could be economically and environmentally benign, showing different opportunities for farm development with locally available resources.
Ruminant Feed Pareto-Based Optimization Farm Bioeconomic Model CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUMINANT FEEDING BIOECONOMIC MODELS MIXED CROPPING FARMS LIVESTOCK
Sarah Hearne zhiyuan fu (2023, [Artículo])
Maize Endosperm Development Membrane Proteomics Glycosyl-Phosphatidyl-Inositol Membrane Anchored Proteins CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE ENDOSPERM MEMBRANES PROTEOMICS TRANSCRIPTOMICS
Marco Antonio Garzón-Zúñiga VIOLETA ERENDIRA ESCALANTE ESTRADA (2011, [Documento de trabajo])
El objetivo global de proyecto es determinar el efecto de diferentes variables (carga orgánica, carga hidráulica, granulometría, aireación, etc.) sobre la remoción de macronutrientes de aguas residuales utilizando biopelículas inmovilizadas en diferentes medios (inertes, orgánicos y membranas semipermeables).
Tratamiento de aguas residuales Filtración por membranas Filtros biológicos Filtración aerobia Filtración anaerobia Informes de proyectos INGENIERÍA Y TECNOLOGÍA
Mecanismos de transporte de aniones mono y polivalentes en membranas de nanofiltración
CESAR GUILLERMO CALDERON MOLGORA (2013, [Documento de trabajo])
Con el fin de Identificar condiciones fisicoquímicas que provocan desplazamiento en contra del gradiente de concentración de aniones monovalentes en membranas de nanofiltración con carga electrice negativa, y en presencia de aniones multivalentes, se efectuaron pruebas de desempeño con una membrana plana modelo NE70 y con su formato comercial NE70-4040 de la marca CSM. Para el desarrollo de las pruebas se utilizaron dos circuitos de nanofiltración, el primero fue para la membrana plana y se utilizó una celda de alta presión que utiliza cupones de membrana plana de 153 cm2. Posteriormente se utilizó un banco de pruebas para una sola membrana comercial en el formato enrollado en espiral. La membrana tiene un diámetro de 10.16 cm y una longitud de 101.6 cm.
Filtración por membranas Nanofiltración Tratamiento del agua INGENIERÍA Y TECNOLOGÍA
Marco Antonio Garzón-Zúñiga VIOLETA ERENDIRA ESCALANTE ESTRADA (2013, [Documento de trabajo])
Fondo Sectorial CONACYT-SEP No. 103922
El objetivo del proyecto fue desarrollar los trabajos de investigación sobre el efecto de la relación C/N y la aireación en la remoción de macronutientes de aguas residual agroindustrial.
Industria porcícola Tratamiento de efluentes industriales Filtración por membranas Filtros biológicos Filtración aerobia Filtración anaerobia Informes de proyectos INGENIERÍA Y TECNOLOGÍA
Martin van Ittersum (2023, [Artículo])
Context: Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency. Objective: The aim of this study was to assess the performance of statistical and machine learning methods to explain and predict crop yield across thousands of farmers’ fields in contrasting farming systems worldwide. Methods: A large database of 10,940 field-year combinations from three countries in different stages of agricultural intensification was analyzed. Random effects models were used to partition crop yield variability and random forest models were used to explain and predict crop yield within a cross-validation scheme with data re-sampling over space and time. Results: Yield variability in relative terms was smallest for wheat and barley in the Netherlands and for wheat in Ethiopia, intermediate for rice in the Philippines, and greatest for maize in Ethiopia. Random forest models comprising a total of 87 variables explained a maximum of 65 % of cereal yield variability in the Netherlands and less than 45 % of cereal yield variability in Ethiopia and in the Philippines. Crop management related variables were important to explain and predict cereal yields in Ethiopia, while predictive (i.e., known before the growing season) climatic variables and explanatory (i.e., known during or after the growing season) climatic variables were most important to explain and predict cereal yield variability in the Philippines and in the Netherlands, respectively. Finally, model cross-validation for regions or years not seen during model training reduced the R2 considerably for most crop x country combinations, while for wheat in the Netherlands this was model dependent. Conclusion: Big data from farmers’ fields is useful to explain on-farm yield variability to some extent, but not to predict it across time and space. Significance: The results call for moderate expectations towards big data and machine learning in agronomic studies, particularly for smallholder farms in the tropics where model performance was poorest independently of the variables considered and the cross-validation scheme used.
Model Accuracy Model Precision Linear Mixed Models CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MACHINE LEARNING SUSTAINABLE INTENSIFICATION BIG DATA YIELDS MODELS AGRONOMY
GIOVANNY COVARRUBIAS-PAZARAN Hans-Peter Piepho (2023, [Artículo])
Average Semivariance Linear Mixed Model Variance Component Estimation Polygenic Inheritance Oligogenic Inheritance Mendelian Inheritance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MENDELISM GENETIC VARIANCE GENOME-WIDE ASSOCIATION STUDIES PHENOTYPES CHROMOSOME MAPPING