ArticlePloS one2025
Poly[hydroxybutyrate-co-hydroxyvalerate] and cellulose biocomposite membrane derived from sugarcane bagasse for Congo red dye and vegetable oil removal in water remediation.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Environmental contamination from textile dyes and oil residues poses a critical environmental and public health concern, highlighting the need for sustainable wastewater treatment strategies. A biocomposite membrane (BM) for the removal of Congo Red (CR) dye and vegetable oil (VO) from aqueous solutions was developed and evaluated separately for each pollutant in this study. Through a solvent casting technique, cellulose fibers (CF) from sugarcane bagasse (SCB) were successfully incorporated into a poly[hydroxybutyrate-co-hydroxyvalerate] (PHBV) matrix, as confirmed by FT-IR and SEM analyses. Exceptional adsorption efficiency was demonstrated by the BM, with 83.79% of CR dye (10 mg/L, pH 6.7) removed within 28,800 s and 95.15% of VO removed within 3,600 s, corresponding to a maximum oil adsorption capacity of 3.11 g-oil/g-sorbent, i.e., more than three times its own VO adsorption on the BM weight. The membrane exhibited good reusability, maintaining over 40% adsorption efficiency for CR dye after three cycles and over 50% efficiency for VO after five cycles. CR adsorption was found to follow the Langmuir model (R² = 0.9869) in isotherm studies, while VO adsorption aligned with the Freundlich model (R² = 0.9784). In kinetic analyses, CR adsorption was best described by the intra-particle diffusion model (R² = 0.9363), whereas VO adsorption followed the pseudo-second-order model (R² = 0.9999). The BM's performance remained stable in the presence of ionic salts and synthetic wastewater. The significant potential of the BM as an environmentally friendly, cost-effective, and sustainable solution for long-term wastewater treatment applications through simultaneous dye and oil removal is highlighted by these findings.
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