SigmaXL optimisation of oil spill removal from water using orange peels bio-adsorbent / Abdulhalim Musa Abubakar ... [et al.]

Abubakar, Abdulhalim Musa and Diriki, Halleluyah Daniel and Umdagas, Lukman Buba and Mukwana, Kishan Chand and -, Wisdom Chukwuemeke Ulakpa and -, Tahiru Saka and -, Kamran Khan and Bhutto, Afaque Ahmed (2024) SigmaXL optimisation of oil spill removal from water using orange peels bio-adsorbent / Abdulhalim Musa Abubakar ... [et al.]. Malaysian Journal of Chemical Engineering and Technology (MJCET), 7 (2): 7. pp. 131-158. ISSN 2682-8588
Identification Number (DOI): 10.24191/mjcet.v7i2.1357
Abstract

Traditional methods for oil spill cleanup, such as chemical dispersants and mechanical recovery, are often expensive and can harm marine ecosystems. If orange peels (OP) prove to be a cost-effective alternative, it could save money for companies and governments involved in oil spill response efforts. Response surface methodology (RSM) optimisation conducted in this study, with dosage ranging from 0.2 – 0.4 g and time from 41 – 50 min, identified OP particles of BSS 100 sieve size as an effective adsorbent for oil spill mop up. Using the basic SigmaXL features in Excel, a design of experiments (DOE) based on central composite design (CCD) indicates that the maximum adsorption capacity of OP is 34.17 g/g. This capacity is characterised by its limonene content, which enhances its sorption ability under optimal conditions of 0.2 g and 50 min. As such, a quadratic model, whose reliability is described by F, p-value, T and mean square (MS) model significance parameters, illustratively satisfy the predicted response variable at R2 = 0.8988. As a result, the residual plots show a uniform distribution of residuals, while the 3D surface and contour plots indicate connection between the input and output variables. SigmaXL not only gives the optimal combinations but allows for further optimum variable predictions outside the boundaries chosen at 95% confidence and prediction intervals. This study also shed light on resource and time management with respect to OP utilisation for oil sorption, which is the sole aim of selecting the two factors analysed to minimise cost.

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