Removal of Pb(II), Cu(II) and Zn(II) from aqueous solutions by low cost agri-cultural wastes was investigated.
The effect of the initial pH value, biomass dosage, initial metal concentration and contact time was investigated in batch system. It is found that metal uptake increased with increasing the initial pH value, initial concentration and contact time but decreased with increasing biomass dosage. The optimum pH value for biosorp-tion process of the metal ions was found to be ranged from 5.0 to 6.0 for all inves-tigated materials.
The experimental data well fitted to the Langmuir isotherm model. The max-imum biosorption capacities of investigated agricultural waste materials followed the order: Pb(II) > Cu(II) > Zn(II). Kinetic data well fitted to the pseudo-second-order kinetic model. The kinetic study revealed that biosorption process is fast.
Desorption study was done due to of the need to recycle metal loaded mate-rials and dispose them. Obtained results revealed that invest...igated agricultural wastes after biosorption process can be efficiently recovered with diluted HNO3.
From obtained results and their comparison to different biosorbents reported in literature it can be concluded that investigated agricultural wastes can be used as natural, low cost, effective and ecofriendly materials for heavy metals removal from water solutions.
Keywords:
agricultural wasters / biosorption / heavy metals / desorption study
Source:
Metallurgical & Materials Engineering Congress of South-East Europe, MME SEE 2017, 2017, 48-48
Publisher:
Belgrade : Association of Metallurgical Engineers of Serbia
TY - CONF
AU - Petrović, Marija
AU - Šoštarić, Tatjana
AU - Stojanović, Mirjana
AU - Petrović, Jelena
AU - Kojić, Marija
AU - Milojković, Jelena
AU - Lopičić, Zorica
PY - 2017
UR - https://ritnms.itnms.ac.rs/handle/123456789/910
AB - Removal of Pb(II), Cu(II) and Zn(II) from aqueous solutions by low cost agri-cultural wastes was investigated.
The effect of the initial pH value, biomass dosage, initial metal concentration and contact time was investigated in batch system. It is found that metal uptake increased with increasing the initial pH value, initial concentration and contact time but decreased with increasing biomass dosage. The optimum pH value for biosorp-tion process of the metal ions was found to be ranged from 5.0 to 6.0 for all inves-tigated materials.
The experimental data well fitted to the Langmuir isotherm model. The max-imum biosorption capacities of investigated agricultural waste materials followed the order: Pb(II) > Cu(II) > Zn(II). Kinetic data well fitted to the pseudo-second-order kinetic model. The kinetic study revealed that biosorption process is fast.
Desorption study was done due to of the need to recycle metal loaded mate-rials and dispose them. Obtained results revealed that investigated agricultural wastes after biosorption process can be efficiently recovered with diluted HNO3.
From obtained results and their comparison to different biosorbents reported in literature it can be concluded that investigated agricultural wastes can be used as natural, low cost, effective and ecofriendly materials for heavy metals removal from water solutions.
PB - Belgrade : Association of Metallurgical Engineers of Serbia
C3 - Metallurgical & Materials Engineering Congress of South-East Europe, MME SEE 2017
T1 - Agricultural wastes as low cost material for heavy metals removal
EP - 48
SP - 48
ER -
@conference{
author = "Petrović, Marija and Šoštarić, Tatjana and Stojanović, Mirjana and Petrović, Jelena and Kojić, Marija and Milojković, Jelena and Lopičić, Zorica",
year = "2017",
abstract = "Removal of Pb(II), Cu(II) and Zn(II) from aqueous solutions by low cost agri-cultural wastes was investigated.
The effect of the initial pH value, biomass dosage, initial metal concentration and contact time was investigated in batch system. It is found that metal uptake increased with increasing the initial pH value, initial concentration and contact time but decreased with increasing biomass dosage. The optimum pH value for biosorp-tion process of the metal ions was found to be ranged from 5.0 to 6.0 for all inves-tigated materials.
The experimental data well fitted to the Langmuir isotherm model. The max-imum biosorption capacities of investigated agricultural waste materials followed the order: Pb(II) > Cu(II) > Zn(II). Kinetic data well fitted to the pseudo-second-order kinetic model. The kinetic study revealed that biosorption process is fast.
Desorption study was done due to of the need to recycle metal loaded mate-rials and dispose them. Obtained results revealed that investigated agricultural wastes after biosorption process can be efficiently recovered with diluted HNO3.
From obtained results and their comparison to different biosorbents reported in literature it can be concluded that investigated agricultural wastes can be used as natural, low cost, effective and ecofriendly materials for heavy metals removal from water solutions.",
publisher = "Belgrade : Association of Metallurgical Engineers of Serbia",
journal = "Metallurgical & Materials Engineering Congress of South-East Europe, MME SEE 2017",
title = "Agricultural wastes as low cost material for heavy metals removal",
pages = "48-48"
}
Petrović, M., Šoštarić, T., Stojanović, M., Petrović, J., Kojić, M., Milojković, J.,& Lopičić, Z.. (2017). Agricultural wastes as low cost material for heavy metals removal. in Metallurgical & Materials Engineering Congress of South-East Europe, MME SEE 2017
Belgrade : Association of Metallurgical Engineers of Serbia., 48-48.
Petrović M, Šoštarić T, Stojanović M, Petrović J, Kojić M, Milojković J, Lopičić Z. Agricultural wastes as low cost material for heavy metals removal. in Metallurgical & Materials Engineering Congress of South-East Europe, MME SEE 2017. 2017;:48-48..
Petrović, Marija, Šoštarić, Tatjana, Stojanović, Mirjana, Petrović, Jelena, Kojić, Marija, Milojković, Jelena, Lopičić, Zorica, "Agricultural wastes as low cost material for heavy metals removal" in Metallurgical & Materials Engineering Congress of South-East Europe, MME SEE 2017 (2017):48-48.
