A bombastic approach to remove 2,4,6- Trichlorophenol (TCP) from simulated wastewater via Progressive Freeze Concentration (PFC): effect of operation time & optimization by using Response Surface Methodology (RSM): article

Hamizlan, Hariz Asyraf and Jamal Ikhsana, Ikhmal Zariq Al Imran and Mazzama, Anwar Addini and Bakara, Muhamad Noor Faqeh and Ab Hamida, Farah Hanim (2020) A bombastic approach to remove 2,4,6- Trichlorophenol (TCP) from simulated wastewater via Progressive Freeze Concentration (PFC): effect of operation time & optimization by using Response Surface Methodology (RSM): article. pp. 1-10.

Abstract

Nowadays, chemical industries have discharged the wastewater which contain a phenolic compound such as 2,4,6-trichlorophenol (TCP). This compound is toxic and hazardous as it belongs to a group of common environmental pollutant. It contributes to the shortages sources of clean water due to increment of population and rapid development of chemical indusl Therefore, the sources of water must be explored in order to get continuously supply of pure water. One of the ways to get pure water is by purifying the wastewater. This research is using progressive freeze concentration (PFC) to purify the wastewater. PFC is the process where the ice crystal is generated on the wall of the crystalliser which contain pure water through cooling process. The effect of operating time was then investigated on the performance of the PFC system through Effective Partition Constant (K) value and TCP reduction (%). TCP solution was used a simulated wastewater sample. The optimum condition was found at 40 minutes, resulted in the lowest K and highest TCP reduction (%). Furthermore, Response Surface Methodology (RSM) was used for optimization of two parameters which are initial concentration and operating time. The K value and TCP reduction (%) were determined to investigate the efficiency of this system. STATISTICA oftware is then implemented to find the operating conditions. The best response for K and TCP reduction (%) were predicted by ANOVA were 0.13-(i and 76.5jg8% respectively

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Hamizlan, Hariz Asyraf
2016352183
Jamal Ikhsana, Ikhmal Zariq Al Imran
UNSPECIFIED
Mazzama, Anwar Addini
UNSPECIFIED
Bakara, Muhamad Noor Faqeh
UNSPECIFIED
Ab Hamida, Farah Hanim
UNSPECIFIED
Subjects: T Technology > TD Environmental technology. Sanitary engineering
T Technology > TD Environmental technology. Sanitary engineering > Hazardous substances and their disposal
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Chemical Engineering
Page Range: pp. 1-10
Keywords: Progressive Freeze Concentration 2,4,6-Trichlorophenol Response Surface Methodology
Date: January 2020
URI: https://ir.uitm.edu.my/id/eprint/119731
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