Photodegrading hazardous pollutants using black TiO2 materials with different morphology and estimation of energy requirement

Black TiO2 materials were synthesized with different morphologies, including nanoparticles (NPs) and nanonails (NNs), and their performance for the photodegradation of hazardous phenols from model palm oil mill wastewater (TPOME) was compared. For the first time, the black TiO2 NNs were prepared by...

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Bibliographic Details
Main Authors: Nawaz, R., Haider, S., Anjum, M., Haneef, T., Oad, V.K., Aqif, M., Haider, A., Khan, R.
Format: Article
Published: Elsevier Ltd 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37294/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170434815&doi=10.1016%2fj.matchemphys.2023.128401&partnerID=40&md5=7c227b6d20e49678243648bd8cafd212
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Summary:Black TiO2 materials were synthesized with different morphologies, including nanoparticles (NPs) and nanonails (NNs), and their performance for the photodegradation of hazardous phenols from model palm oil mill wastewater (TPOME) was compared. For the first time, the black TiO2 NNs were prepared by hydrothermal processing, followed by HCl treatment of the TiO2 NPs that had already been produced using an improved glycerol-assisted precipitation method. Four phenolic compounds (phenol, caffeic acid, ferulic acid, and gallic acid) were combined to represent the model wastewater based on their relative concentrations in actual TPOME. The TiO2 NNs outperformed the TiO2 NPs in the photocatalytic degradation of phenols due to their improved properties, including higher visible light absorption and surface area and lower bandgap and rate of electrons and holes recombination. The removal rate and energy requirements of the TiO2 NNs were also impactful. The TiO2 NNs degraded more than 99 of individual phenols in 210 min and 84.22 of the total phenols in 270 min with the least amount of electrical energy used (96.36 kW/m3), the lowest cost of treatment of a unit volume of model TPOME, and the highest removal rate constant. © 2023 Elsevier B.V.