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Maximizing diesel removal from contaminated sand using Scirpus mucronatus and assessment of rhizobacteria addition effect

Heliyon 2023 4 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Setyo Budi Kurniawan, Setyo Budi Kurniawan, Setyo Budi Kurniawan, Ipung Fitri Purwanti, Setyo Budi Kurniawan, Muhammad Fauzul Imron Setyo Budi Kurniawan, Siti Rozaimah Sheikh Abdullah, Siti Rozaimah Sheikh Abdullah, Siti Rozaimah Sheikh Abdullah, Muhammad Fauzul Imron Muhammad Fauzul Imron Ainon Hamzah, Siti Rozaimah Sheikh Abdullah, Ainon Hamzah, Muhammad Fauzul Imron Mushrifah Idris, Siti Rozaimah Sheikh Abdullah, Mohd Talib Latif, Mohd Talib Latif, Setyo Budi Kurniawan, Setyo Budi Kurniawan, Siti Rozaimah Sheikh Abdullah, Mushrifah Idris, Siti Rozaimah Sheikh Abdullah, Mohd Talib Latif, Siti Rozaimah Sheikh Abdullah, Siti Rozaimah Sheikh Abdullah, Siti Rozaimah Sheikh Abdullah, Hassan Basri, Hassan Basri, Mohd Talib Latif, Setyo Budi Kurniawan, Muhammad Mukhlisin, Setyo Budi Kurniawan, Mohd Talib Latif, Mohd Talib Latif, Setyo Budi Kurniawan, Setyo Budi Kurniawan, Mohd Talib Latif, Muhammad Fauzul Imron

Summary

Researchers optimized phytoremediation of diesel-contaminated sand using the aquatic plant Scirpus mucronatus, achieving 42% removal of petroleum hydrocarbons under optimized conditions and boosting removal to 52% with the addition of Bacillus rhizobacteria.

Phytoremediation is one of the green technologies that is friendly to nature, utilizes fewer chemicals, and exhibits good performance. In this study, phytoremediation was used to treat diesel-contaminated sand using a local aquatic plant species, Scirpus mucronatus, by analyzing the amount of total petroleum hydrocarbons (TPHs). Optimization of diesel removal was performed according to Response Surface Methodology (RSM) using Box-Behnken Design (BBD) under pilot-scale conditions. The quadratic model showed the best fit to describe the obtained data. Actual vs. predicted values from BBD showed a total of 9.1 % error for the concentration of TPH in sand and 0 % error for the concentration of TPH in plants. Maximum TPH removal of 42.3 ± 2.1 % was obtained under optimized conditions at a diesel initial concentration of 50 mg/kg, an aeration rate of 0.48 L/min, and a retention time of 72 days. The addition of two species of rhizobacteria (Bacillus subtilis and Bacillus licheniformis) at optimum conditions increased the TPH removal to 51.9 ± 2.6 %. The obtained model and optimum condition can be adopted to treat diesel-contaminated sand within the same TPH range (50-3000 mg/kg) in sand.

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