Srinam Natthawan, Mohdee Vanee, Pancharoen Ura, Nootong Kasidit, Maneeintr Kreangkrai, Punyain Wikorn, Chunsawang Sirikul
Department of Chemical Engineering, Faculty of Engineering, Chulalongkorn University, Patumwan, Bangkok, 10330, Thailand.
Department of Mining and Petroleum Engineering, Faculty of Engineering, Chulalongkorn University, Patumwan, Bangkok, 10330, Thailand.
Heliyon. 2024 Aug 10;10(16):e36072. doi: 10.1016/j.heliyon.2024.e36072. eCollection 2024 Aug 30.
This work presents the novel application of green oils to extract arsenic ions from petroleum produced water via liquid-liquid extraction (LLE). In the experiment, the removal of arsenic ions from synthetic petroleum produced water is investigated, using five green oils: canola oil, corn oil, linseed oil, rice bran oil, and sunflower oil, in place of petroleum-based solvents: toluene and kerosene. Both extraction and stripping optimizations are examined. For extractants, Aliquat 336 and Cyanex 921 are implemented. The initial arsenic concentration (3.984 mg L) of petroleum produced water is examined. Results demonstrate that Aliquat 336 in corn oil proved to be most effective for arsenic removal. At optimal conditions via response surface methodology (RSM), the highest extraction and stripping percentages reached 99.95 % and 100.00 %, respectively. In accordance with the World Health Organization (WHO) levels of ≤0.01 mg L, arsenic concentration remaining in the extracted water (0.002 mg L), is seen to fulfill the requirement needed. The extraction and stripping kinetics are of first and second-order. Mechanisms of arsenic removal are evaluated via density functional theory (DFT). Further, selectivity, recycling of the organic phase, and the number of stages via McCabe-Thiele theory are determined under optimal conditions.
这项工作展示了绿色油在通过液-液萃取（LLE）从采油废水中提取砷离子方面的新应用。在实验中，研究了使用五种绿色油（菜籽油、玉米油、亚麻籽油、米糠油和葵花籽油）代替石油基溶剂（甲苯和煤油）从合成采油废水中去除砷离子的情况。对萃取和反萃取过程都进行了优化。对于萃取剂，使用了Aliquat 336和Cyanex 921。研究了采油废水的初始砷浓度（3.984 mg/L）。结果表明，玉米油中的Aliquat 336对砷的去除效果最为显著。通过响应面法（RSM）在最佳条件下，最高萃取率和反萃取率分别达到了99.95%和100.00%。根据世界卫生组织（WHO）规定的≤0.01 mg/L的标准，萃余水中的砷浓度（0.002 mg/L）符合要求。萃取和反萃取动力学分别为一级和二级。通过密度泛函理论（DFT）评估了砷的去除机理。此外，在最佳条件下，根据麦凯布-蒂勒理论确定了选择性、有机相的循环利用以及级数。
