Modified Nanocellulose-Based Adsorbent from Sago Waste for Diclofenac Removal

• Main Authors: Noorhaslin, Che Su, Ain Aqilah, Basirun, Nor Shahroon, Hameed Sultan, Devagi, Kanakaraju, Cecilia Devi, Wilfred
• Format: Article
• Language: English
• Published: MDPI 2023
• Subjects: QD Chemistry
• Online Access: http://ir.unimas.my/id/eprint/41738/1/Modified%20Nanocellulose-Based.pdf; http://ir.unimas.my/id/eprint/41738/; https://www.mdpi.com/2071-1050/15/7/5650; https://doi.org/10.3390/su15075650

A nanocellulose-based adsorbent was successfully synthesized via a hydrothermal process. It was characterized by X-ray diffraction, Fourier Transform Infrared Spectroscopy, Field Emission Electron Microscopy and Brunauer–Emmett–Teller surface area analysis. Photocatalysis has the best potential to replace the conventional wastewater treatment technology through the photodegradation of organic contaminants. This study focuses on the preparation of a photocatalytic adsorbent of nanocellulose prepared from sago waste for the removal of diclofenac from industrial wastewater. Its photocatalytic activity was evaluated through the degradation of diclofenac (100 mg/L) under ultraviolet (UV) light. The effect of different loadings of TiO2 and kinetics on the photocatalytic activity was investigated. To study its removal, the experiments were carried out under UV light with different contact times ranging from 30 to 120 min at room temperature. The maximum removal percentage was found to be 57.5% for 200 �L of TiO2, and this increased up to 82.4% for 800 �L of TiO2. The maximum removal capacity was found to be 13.3 mg/g. The kinetics was well fitted with “pseudo-first order model” (PSO). Kinetic analysis using the PSO model at 100 ppm of diclofenac sodium gave a value of equilibrium adsorption capacity, qe of 13.52 mg/g. The adsorption kinetics gave a value of calculated equilibrium adsorption capacity, qe of 13.52 mg/g using different nonlinear regression plots. It obeyed a pseudo-first-order reaction with the lowest AICc, RSME values of 0.56 and 0.53 and the highest correlation coefficient, R2, of 0.99. Three kinetics models were fitted for the current adsorption kinetics data, and their suitability was inferred as the following: pseudo-first-order > pseudo-second-order > Langmuir–Hinshelwood.