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Research Article Open access CC BY 4.0

Bioremediation Potentials of Chlorella Vulgaris on Water Samples from Ikose Stream (Tributary of Oba River) Ogbomoso, Nigeria

Adewoye Solomon Olayinka, Adeosun Itunu Grace, Awogbemi Stephen Olalekan, Omotoso Ifeoluwa Omotola, Tiamiyu Opeyemi Glory, Ajao Alfred O

Asian Journal of Advanced Research and Reports · pp. 375–385 · Published 17 Mar 2025

10.9734/ajarr/2025/v19i3949

Abstract

Aim: The aim of the study is to evaluate the potentials of Chlorella vulgaris as a phycoremediation tools of water samples collected from Ikose stream, a tributary of Oba river in Ogbomoso. Study Design:  The study employed an experimental study design. Place and Duration of Study: Samples were collected in November 2021 and the study was conducted between December 2021 to May 2022. The research was carried out in the Microbiology Central Research Laboratory of Pure and Applied Biology Department, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria. Methodology: The water sample was collected from Ikose water reservoir in Ogbomoso and the dried biomass of Chlorella vulgaris for the adsorption study was obtained from microbiology laboratory, LAUTECH. Three different concentrations of dried biomass of chlorella vulgaris were prepared by weighing 10mg, 50mg and 100mg into 80ml of the water sample with pH 5.0 and 8.0 in different bottles, the contact time was at an internal of 24h, 48h and 72h. At the end of each time duration, heavy metal concentration was determined by inductively coupled plasma- Mass Spectrometry (ICP-MS). Results: The ICP-MS analysis which revealed the presence of five different heavy metals which are Manganese, Nickel, Zinc, Lead, Iron. Iron shows the highest concentration of 9.789mg/L while manganese shows the lowest at 1.0977mg/L. Conclusion: The result obtained for the bioabsorption of heavy metals in this study shows that C. vulgaris was efficient in the bioabsorption of most of the heavy metals identified from the water sample collected from the reservoir patients. These predictors, however, need further work to validate reliability.

Heavy metals Bioadsorption Phycoremediation Chlorella Vulgaris Biomass concentration

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