Person:
Rivas Siota, Sandra

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First Name
Sandra
Last Name
Rivas Siota
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Químicas
Department
Ingeniería Química y de Materiales
Area
Ingeniería Química
Identifiers
UCM identifierORCIDScopus Author IDWeb of Science ResearcherIDDialnet ID

Search Results

Now showing 1 - 3 of 3
  • Item
    Project number: 60
    Elaboración de una metodología learn to program/program to learn para la enseñanza en el área de la Ingeniería Química empleando la herramienta matlab cody coursework para fomentar el e-learning
    (2019) Guijarro Gil, Maria Isabel; Domínguez Toribio, Juan Carlos; Yustos Cuesta, Pedro; Santos Mazorra, Victoria Eugenia; Oliet Pala, Mercedes; Toledo Gabriel, José Manuel; Alonso Rubio, María Virginia; Miranda Carreño, Ruben; Rodríguez Vega, Sergio; Rigual Hernández, Victoria de los Angeles; Villar Chavero, Maria del Mar; Lorenzo Fernández, David; Rivas Siota, Sandra
    El objetivo principal de este proyecto es la elaboración de una metodología learn to program/program to learn en el área de Ingeniería Química utilizando generadores de problemas y el sistema de corrección automática Matlab Cody Coursework.
  • Item
    Autohydrolysis and microwave ionic liquid pretreatment of Pinus radiata: Imaging visualization and analysis to understand enzymatic digestibility
    (Industrial Crops and Products, 2019) Rigual Hernández, Victoria De Los Ángeles; Domínguez Toribio, Juan Carlos; Santos, Tamara ; Rivas Siota, Sandra; Alonso Rubio, María Virginia; Oliet Pala, María Mercedes; Rodríguez Somolinos, Francisco
    Sequential pretreatments provide advantages of every single process towards a complete biomass fractionation. In this work, autohydrolysis and IL microwave pretreatments are sequentialy studied, and their effect to enhance enzymatic hydrolysis is analyzed. Mild, intermediate and severe autohydrolysis are combined with four IL temperatures (50, 80, 120 and 150 °C). Pretreated solids are enzymatically hydrolyzed and compared in terms of chemical composition and morphology. Digital image analysis is employed to numerically determine the heterogeneity of the solids using surface fractal dimension and lacunarity parameters. In this study, the negative effect of intermediate and severe autohydrolysis, over the subsequent IL pretreatment is demonstrated. Mild autohydrolysis and high IL conditions (AH150IL120) results in digestibilities of 78.8 g of glucan/100 g of glucan introduced. High surface fractal values (in the range of 2.5461–2.7124) and low lacunarities (0.0818–0.2563) enhance the enzymatic accessibility of pine wood. Furthermore, the negative effect of softwood lignin accumulation in the surface is observed using confocal fluorescence microscopy
  • Item
    Autohydrolysis and microwave ionic liquid pretreatment of Pinus radiata: Imaging visualization and analysis to understand enzymatic digestibility
    (Industrial Crops & Products, 2019) Rigual Hernández, Victoria De Los Ángeles; Domínguez Toribio, Juan Carlos; Santos, Tamara; Rivas Siota, Sandra; Alonso Rubio, María Virginia; Oliet Pala, María Mercedes; Rodriguez, Francisco
    Sequential pretreatments provide advantages of every single process towards a complete biomass fractionation. In this work, autohydrolysis and IL microwave pretreatments are sequentialy studied, and their effect to enhance enzymatic hydrolysis is analyzed. Mild, intermediate and severe autohydrolysis are combined with four IL temperatures (50, 80, 120 and 150 °C). Pretreated solids are enzymatically hydrolyzed and compared in terms of chemical composition and morphology. Digital image analysis is employed to numerically determine the heterogeneity of the solids using surface fractal dimension and lacunarity parameters. In this study, the negative effect of intermediate and severe autohydrolysis, over the subsequent IL pretreatment is demonstrated. Mild autohydrolysis and high IL conditions (AH150IL120) results in digestibilities of 78.8 g of glucan/100 g of glucan introduced. High surface fractal values (in the range of 2.5461–2.7124) and low lacunarities (0.0818–0.2563) enhance the enzymatic accessibility of pine wood. Furthermore, the negative effect of softwood lignin accumulation in the surface is observed using confocal fluorescence microscopy.