Statistical optimization of titanium recovery from drinking water treatment residue using response surface methodology.
Acid leaching
Response-surface methods
Titanium recovery
Waste recycling
Water-treatment sludge
Journal
Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664
Informations de publication
Date de publication:
01 Feb 2020
01 Feb 2020
Historique:
received:
27
08
2019
revised:
11
11
2019
accepted:
18
11
2019
pubmed:
4
12
2019
medline:
19
2
2020
entrez:
3
12
2019
Statut:
ppublish
Résumé
Water treatment plants generate vast amounts of sludge and its disposal is one of the most expensive and environmentally problematic challenges worldwide. As sludge from water treatment plants contains a considerable amount of titanium, both can create serious environmental concerns. In this study, the potential to recover titanium from drinking water treatment residue was explored through acid leaching technique. Statistical design for the optimization of titanium recovery was proposed using response surface methodology (RSM) based on a five-level central composite design (CCD). Three independent variables were investigated, namely the acid concentration (3 M-7 M), temperature (40 °C - 80 °C) and solid/liquid ratio (0.005-0.02 g/mL). According to the analysis of variance (ANOVA), the p-value (<0.0001) indicated the designed model was highly significant. Optimization using RSM gave the best fit between validated and predicted data as elucidated by the coefficient of determination with R
Identifiants
pubmed: 31790869
pii: S0301-4797(19)31608-1
doi: 10.1016/j.jenvman.2019.109890
pii:
doi:
Substances chimiques
Sewage
0
Titanium
D1JT611TNE
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
109890Informations de copyright
Copyright © 2019 Elsevier Ltd. All rights reserved.