Citas bibligráficas
Salas, G., (2019). Tiempo de contacto y PH de la cáscara de granadilla en la biosorción de zinc en aguas del Río Grande – Quiruvilca [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/14974
Salas, G., Tiempo de contacto y PH de la cáscara de granadilla en la biosorción de zinc en aguas del Río Grande – Quiruvilca [Tesis]. PE: Universidad Privada del Norte; 2019. https://hdl.handle.net/11537/14974
@misc{renati/452687,
title = "Tiempo de contacto y PH de la cáscara de granadilla en la biosorción de zinc en aguas del Río Grande – Quiruvilca",
author = "Salas Horna, Gerardo Lenin",
publisher = "Universidad Privada del Norte",
year = "2019"
}
The purpose of this research was to evaluate the influence of contact time and pH for biosorption of zinc in the Rio Grande - Quiruvilca, initiating the investigation in an initial concentration of 238.48 mg / L of zinc; for this treatment was used using granadilla peel (Passiflora ligularis L.), which due to its characteristic adsorb high concentrations of contaminants. The design that was adapted in the investigation was factorial, the sample was 4 liters of contaminated water, distributed in precipitation glasses of 250 mL each one at different pH of 6, 8 and 10; in times of 4, 8, 12, 16, 20 and 24 minutes. Samples of water contaminated with zinc were analyzed in the instrumental analysis laboratory of the Environmental Engineering career at the Universidad Privada del Norte, for which the flame-type atomic absorption spectrophotometer was used; the data analysis processing method was the ANOVA, to determine the effect of the relationship between independent variables in the dependent one. Finally, the hypothesis that pH and time influence Zinc adsorption was affirmed; showing the optimum ratio at a pH of 10 in a time of 24 minutes with an adsorption of 0.09 mg / L of zinc with 99.96%. The equilibrium data are better adjusted to the Langmuir isotherm with a maximum adsorption of 93.4579 mg / g of zinc, and the kinetics of the Zn biosorption process is adapted to a pseudo-second order model.
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