Alkaline gelatinised cassia tora and locust bean gums as talc depressants: Adsorption and thermochemical aspect
Year: 2024
Type: article
Abstract: Talc is a gangue mineral of most platinum group metals and base metals ores commonly found in the Southern African mineral repository. It is naturally hydrophobic, and invariably, the depression of talc is paramount and challenging in the flotation of these ores. This paper introduced cassia tora gum (CTG) and locust bean gum (LBG) as novel talc depressants. The adsorption densities, thermochemical, and talc depression of these depressants were studied using adsorption, zeta potential and microflotation studies. Talc flotability in the absence of the depressant was 89% this implied that the talc used in this study was naturally floatable. The adsorption studies revealed that CTG yielded the highest talc adsorption density, followed by LBG and CMC, and their adsorption densities were 5.8 mg/m2, 4.6 mg/m2 and 3.5 mg/m2, respectively. PGM flotation occurs at pH 9. Therefore, the zeta potential results at this pH were given more focus in the present study. The zeta potential values at pH 9 were -5.75 mV for LBG and CTG and -15 mV for CMC, respectively. In addition, the percentage of talc depression achieved in the microflotation studies decreased in the order LBG > CTG > CMC; their respective values were 72% > 56% > 51%. Therefore, the zeta potential values agree with the adsorption and microflotation studies results observed in this study, i.e., LBG and CTG depressed talc more effectively than CMC. Lastly, bench flotation results revealed that LBG yielded the highest talc depression at 100 g/t, while CTG yielded the highest talc depression at 25 g/t. Thus, these results agreed with thermodynamic theory, viz., a low molecular weight polymer is effective at low dosages where the surface is unsaturated. In contrast, a high molecular weight polymer is effective at high dosages as there is enough quantity to cover the surface adequately.
Source: Polymer Bulletin
Institution: University of Johannesburg
Language: English
Subfield: Filtration and Separation
Field: Chemical Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4396804292