Rice straw as a natural sorbent in a filter system as an approach to bioremediate diesel pollution

• Main Authors: Ahmad, S.A (Author), Azmi, A.A (Author), Convey, P. (Author), Khalid, F.E (Author), Khalil, K.A (Author), Merican, F. (Author), Shaharuddin, N.A (Author), Taufik, S.H (Author), Zakaria, N.N (Author), Zulkharnain, A. (Author)
• Format: Article
• Language: English
• Published: MDPI 2021
• Series: Water (Switzerland)
• Subjects: Absorption efficiency; Agricultural wastes; bioremediation; concentration (composition); detection method; Diesel engines; experimental study; methodology; Morphology; Natural sorbents; Oil absorption; Oil absorption efficiency; One-factor; One-factor-at-a-time; One-factor-at-a-time (OFAT); Pollution; reflectance; response surface methodology; Response surface methodology; Response surface methodology (RSM); Response-surface methodology; Rice straw; Rice straws; Scanning electron microscopy; seawater; Sorbents; sorption; Sorption; Sorption capacities; Sorption capacity; Spectroscopic analysis; straw; Surface morphology; Surface properties
• Online Access: View Fulltext in Publisher; View in Scopus
• ISBN: 20734441 (ISSN)
• DOI: 10.3390/w13233317

Rice straw, an agricultural waste product generated in huge quantities worldwide, is utilized to remediate diesel pollution as it possesses excellent characteristics as a natural sorbent. This study aimed to optimize factors that significantly influence the sorption capacity and the efficiency of oil absorption from diesel-polluted seawater by rice straw (RS). Spectroscopic analysis by attenuated total reflectance infrared (ATR-IR) spectroscopy and surface morphology characterization by variable pressure scanning electron microscopy (VPSEM) and energy-dispersive X-ray microanalysis (EDX) were carried out in order to understand the sorbent capability. Optimization of the factors of temperature pre-treatment of RS (90, 100, 110, 120, 130 or 140◦C), time of heating (10, 20, 30, 40, 50, 60 or 70 min), packing density (0.08, 0.10, 0.12, 0.14 or 0.16 g cm−3 ) and oil concentration (5, 10, 15, 20 or 25% (v/v)) was carried out using the conventional one-factor-at-a-time (OFAT) approach. To eliminate any non-significant factors, a Plackett–Burman design (PBD) in the response surface methodology (RSM) was used. A central composite design (CCD) was used to identify the presence of significant interactions between factors. The quadratic model produced provided a very good fit to the data (R2 = 0.9652). The optimized conditions generated from the CCD were 120◦C, 10 min, 0.148 g cm−3 and 25% (v/v), and these conditions enhanced oil sorption capacity from 19.6 (OFAT) to 26 mL of diesel oil, a finding verified experimentally. This study provides an improved understanding of the use of a natural sorbent as an approach to remediate diesel pollution. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.