Polynomial regression analysis for the removal of heavy metal mixtures in coagulation/flocculation of electroplating wastewater

• Main Authors: Ismail, K.N (Author), Mahadi, M.A.A (Author), Mukelas, M.N.M (Author), Puasa, S.W (Author), Zainuddin, N.A.M (Author)
• Format: Article
• Language: English
• Published: Gadjah Mada University 2021
• Series: Indonesian Journal of Chemistry
• Subjects: Coagulation-flocculation; Electroplating wastewater; Hydroxide precipitation; Metal removal; Polynomial regression
• Online Access: View Fulltext in Publisher; View in Scopus
• ISBN: 14119420 (ISSN)
• DOI: 10.22146/ijc.52251

Wastewater produced from the electroplating industry generally consists of heavy metal mixture and organic materials that need to be treated before it can be discharged to the environment. Thus, the present investigation was focused on the selective removal of heavy metal mixtures that consist of Copper (Cu), Cadmium (Cd), and Zinc (Zn). Several operating conditions, including the effect of pH and coagulant (FeCl3) dosage, were varied to find the best performance of heavy metal removal. Results showed that the efficiency of heavy metals removal for 2 types of wastewaters were both approximately 99%. The experimental data on the treatment of synthetic wastewater was plotted using polynomial regression (PR) via Excel software. The value of the adjusted R2 obtained for the final concentration of Cu, Zn, and Cd after treatment were 0.6884, 0.9676, and 0.9283, respectively, which showed that the data were acceptably fitted for Cu and very well fitted for Zn and Cd. The coagulation/flocculation process performed on actual wastewater showed that the lowest final concentration of Cu, Zn, and Cd after treatment were 0.487, 1.232, and 0 mg/L respectively, at pH 12. © 2021, Gadjah Mada University. All rights reserved.