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  1. 3061
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    Actividad contra Trypanosoma cruzi (Kinetoplastida: Trypanosomatidae) de extractos metanólicos de plantas de uso medicinal en México by Pérez Treviño, Karla Carmelita, Galaviz, Lucio, Iracheta Villarreal, Jesús Mario, Lucero Velasco, Eliud Alonso, Molina Garza, Zinnia Judith

    Published 2017
    “…Abstract: Activity against Trypanosoma cruzi (Kinetoplastida: Trypanosomatidae) of methanolic extracts of medicinal use plants in Mexico. American trypanosomiasis is a potentially lethal disease caused by the hemoflagellate protozoan Trypanosoma cruzi. …”
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    Article
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    Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Loredo Cancino, Margarita

    Published 2013
    “…Purpose and method of the study: The production of activated carbon from barley husks (BH) by chemical activation with zinc chloride was optimized by using a 23 factorial design with replicates at the central point, followed by a central composite design with two responses (the yield and iodine number) and three factors (the activation temperature, activation time, and impregnation ratio). …”
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    Tesis
  13. 3073

    Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Loredo Cancino, Margarita

    Published 2013
    “…Purpose and method of the study: The production of activated carbon from barley husks (BH) by chemical activation with zinc chloride was optimized by using a 23 factorial design with replicates at the central point, followed by a central composite design with two responses (the yield and iodine number) and three factors (the activation temperature, activation time, and impregnation ratio). …”
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    Tesis
  14. 3074

    Artificial neural network modeling of phenol adsorption onto barley husks activated carbon in an airlift reactor by Margarita Loredo-Cancino

    Published 2013
    “…Purpose and method of the study: The production of activated carbon from barley husks (BH) by chemical activation with zinc chloride was optimized by using a 23 factorial design with replicates at the central point, followed by a central composite design with two responses (the yield and iodine number) and three factors (the activation temperature, activation time, and impregnation ratio). …”
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    info:eu-repo/semantics/doctoralThesis
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