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. 2022 Oct 18;194(12):911.
doi: 10.1007/s10661-022-10631-6.

An efficient biosorbent for the removal of arsenic from a typical urban-generated wastewater

Jonah Chukwuemeka Agunwamba  1 , Anayo Matthew Amu  1 , Donald Chimobi Nwonu  2
Affiliations

An efficient biosorbent for the removal of arsenic from a typical urban-generated wastewater

Jonah Chukwuemeka Agunwamba et al. Environ Monit Assess. .

Abstract

The arousal of environmental concerns due to spike in environmental degradation has necessitated proper waste management and disposal. Arsenic, a potentially toxic element in cassava wastewater, requires treatment prior to the wastewater disposal to minimize environmental pollution and associated health implications. The present study thus addressed the treatment of As5+ heavy metal in cassava wastewater using an efficient biosorbent from chemically pretreated unshelled Moringa oleifera seeds. The effect of various factors influencing the biosorption process for arsenate removal was studied including pH, contact time, biosorbent dosage, and biosorbent pretreatment concentration. The results of Fourier transform infrared spectroscopy clearly suggested that additional functional groups attributed to esters were formed in the pretreated biosorbent, which is responsible for improvement in biosorption. It was found that contact time, biosorbent dosage, and biosorbent pretreatment concentration had statistically significant effect (p values < 0.05) on arsenate removal. A maximum percentage removal of 99.9% was achieved in the synthetic solution at pH 4.0, contact time of 30 min, and dosage of 2 g for biosorbent pretreated with 1 M of chemical solution. Furthermore, through isotherm and kinetics studies, it was discovered that the biosorption process for untreated biosorbent is by ion exchange, while that for treated biosorbents indicated a multifarious adsorption mechanism. Moreover, the biosorption process was exothermic and spontaneous. Also, it is noted that the sorption capability of the biosorbent increases with pretreatment concentration. A statistical model has been developed with prediction R2 of 0.898, which incorporates the effect of treatment concentration on the percentage removal of As5+ from cassava wastewater.

Keywords: Alkaline pretreatment; Arsenic; Biosorption; Cassava wastewater; Fourier transform infrared spectroscopy; Moringa oleifera.

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