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<p>Waste synthetic hairs (SH), chitosan modified SH (CS-SH) and SH char (SH-C) were utilized as novel sorbents for oil spill cleanup. The sorbents were characterized by Fourier-transform infrared spectroscopy, scanning electron microscope–energy dispersive X-ray spectroscopy, transmission electron microscopy, Brunauer–Emmett–Teller surface area analysis, X-ray diffraction analysis, and thermogravimetric analysis. A batch sorption experiment was conducted to examine the influence of pH (3–11), initial oil concentration (8–12&#xa0;g/L), sorbent dosage (0.1–0.5&#xa0;g), contact time (20–100&#xa0;min), and temperature (303–323&#xa0;K). Equilibrium isotherm data were analyzed using the Langmuir, Freundlich and Temkin models. Results revealed that CS-SH exhibited the highest sorption capacity (2.21 g/g), followed by SH-C (1.80 g/g) and SH (1.91 g/g), under optimized conditions. The Langmuir model provided the best fit to the experimental data, with maximum monolayer uptake capacities of CS-SH &gt; SH-C &gt; SH. The kinetics of oil uptake fit best with the pseudo-second-order model for CS-SH and SH-C, and intraparticle diffusion model for SH, based on their large R<sup>2</sup> values. Thermodynamics indicated that the nature of the sorption process was endothermic and non-spontaneous. Reusability studies showed that CS-SH retained 58.75% of its initial capacity after three sorption–desorption cycles using n-hexane. Optimization studies on the three sorbents demonstrated that CS-SH outperformed SH and SH-C, making it a more sustainable and eco-friendly alternative for treating oil spills. These findings support the potential of converting synthetic hairs waste into value-added sorbents for eco-friendly oil spill remediation.</p>

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Utilization of Waste Synthetic Hairs and Modified Forms as Novel Sorbents for Oil Clean-Up

  • 期刊论文

  • 发表日期：

    2025年11月5日

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  • Samson David Mbanefo,
  • Cynthia Nkolika Ibeto,
  • Pius Onyeoziri Ukoha

摘要

Waste synthetic hairs (SH), chitosan modified SH (CS-SH) and SH char (SH-C) were utilized as novel sorbents for oil spill cleanup. The sorbents were characterized by Fourier-transform infrared spectroscopy, scanning electron microscope–energy dispersive X-ray spectroscopy, transmission electron microscopy, Brunauer–Emmett–Teller surface area analysis, X-ray diffraction analysis, and thermogravimetric analysis. A batch sorption experiment was conducted to examine the influence of pH (3–11), initial oil concentration (8–12 g/L), sorbent dosage (0.1–0.5 g), contact time (20–100 min), and temperature (303–323 K). Equilibrium isotherm data were analyzed using the Langmuir, Freundlich and Temkin models. Results revealed that CS-SH exhibited the highest sorption capacity (2.21 g/g), followed by SH-C (1.80 g/g) and SH (1.91 g/g), under optimized conditions. The Langmuir model provided the best fit to the experimental data, with maximum monolayer uptake capacities of CS-SH > SH-C > SH. The kinetics of oil uptake fit best with the pseudo-second-order model for CS-SH and SH-C, and intraparticle diffusion model for SH, based on their large R2 values. Thermodynamics indicated that the nature of the sorption process was endothermic and non-spontaneous. Reusability studies showed that CS-SH retained 58.75% of its initial capacity after three sorption–desorption cycles using n-hexane. Optimization studies on the three sorbents demonstrated that CS-SH outperformed SH and SH-C, making it a more sustainable and eco-friendly alternative for treating oil spills. These findings support the potential of converting synthetic hairs waste into value-added sorbents for eco-friendly oil spill remediation.