Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater

Wastewater produced from the electroplating industry generally consists of heavy metals 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 selectivity removal of heavy metal mixtures consists of Cop...

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Autores principales:	Siti Wahidah Puasa, Kamariah Noor Ismail, Muhammad Amarul Aliff Bin Mahadi, Nur Ain Zainuddin, Mohd Nazmi Mohd Mukelas
Formato:	article
Lenguaje:	EN
Publicado:	Department of Chemistry, Universitas Gadjah Mada 2020
Materias:	hydroxide precipitation metal removal coagulation-flocculation electroplating wastewater polynomial regression Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/9d38b4fa0f4d4c70a1a9c9f0c96d1e94
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spelling	oai:doaj.org-article:9d38b4fa0f4d4c70a1a9c9f0c96d1e942021-12-02T14:00:19ZPolynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater1411-94202460-157810.22146/ijc.52251https://doaj.org/article/9d38b4fa0f4d4c70a1a9c9f0c96d1e942020-11-01T00:00:00Zhttps://jurnal.ugm.ac.id/ijc/article/view/52251https://doaj.org/toc/1411-9420https://doaj.org/toc/2460-1578Wastewater produced from the electroplating industry generally consists of heavy metals 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 selectivity removal of heavy metal mixtures consists 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 show the efficiency of heavy metals removal for both wastewater characteristics were approximately 99%. The experimental data on the treatment of synthetic wastewater was plotted using polynomial regression (PR) via Excel software. The value of adjusted R2 obtained for the final concentration of Cu, Zn, and Cd after treatment were 0.6884, 0.9676, and 0.9283, respectively, which shows data were acceptably fitted for Cu and very well fitted for Zn and Cd. The coagulation/flocculation process performed on actual wastewater shows that the lowest final concentration of Cu, Zn, and Cd after treatment were 0.487, 1.232, and 0 mg/L respectively at pH of 12.Siti Wahidah PuasaKamariah Noor IsmailMuhammad Amarul Aliff Bin MahadiNur Ain ZainuddinMohd Nazmi Mohd MukelasDepartment of Chemistry, Universitas Gadjah Madaarticlehydroxide precipitationmetal removalcoagulation-flocculationelectroplating wastewaterpolynomial regressionChemistryQD1-999ENIndonesian Journal of Chemistry, Vol 21, Iss 1, Pp 46-56 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydroxide precipitation metal removal coagulation-flocculation electroplating wastewater polynomial regression Chemistry QD1-999
spellingShingle	hydroxide precipitation metal removal coagulation-flocculation electroplating wastewater polynomial regression Chemistry QD1-999 Siti Wahidah Puasa Kamariah Noor Ismail Muhammad Amarul Aliff Bin Mahadi Nur Ain Zainuddin Mohd Nazmi Mohd Mukelas Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
description	Wastewater produced from the electroplating industry generally consists of heavy metals 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 selectivity removal of heavy metal mixtures consists 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 show the efficiency of heavy metals removal for both wastewater characteristics were approximately 99%. The experimental data on the treatment of synthetic wastewater was plotted using polynomial regression (PR) via Excel software. The value of adjusted R2 obtained for the final concentration of Cu, Zn, and Cd after treatment were 0.6884, 0.9676, and 0.9283, respectively, which shows data were acceptably fitted for Cu and very well fitted for Zn and Cd. The coagulation/flocculation process performed on actual wastewater shows that the lowest final concentration of Cu, Zn, and Cd after treatment were 0.487, 1.232, and 0 mg/L respectively at pH of 12.
format	article
author	Siti Wahidah Puasa Kamariah Noor Ismail Muhammad Amarul Aliff Bin Mahadi Nur Ain Zainuddin Mohd Nazmi Mohd Mukelas
author_facet	Siti Wahidah Puasa Kamariah Noor Ismail Muhammad Amarul Aliff Bin Mahadi Nur Ain Zainuddin Mohd Nazmi Mohd Mukelas
author_sort	Siti Wahidah Puasa
title	Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
title_short	Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
title_full	Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
title_fullStr	Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
title_full_unstemmed	Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater
title_sort	polynomial regression analysis for removal of heavy metal mixtures in coagulation/flocculation of electroplating wastewater
publisher	Department of Chemistry, Universitas Gadjah Mada
publishDate	2020
url	https://doaj.org/article/9d38b4fa0f4d4c70a1a9c9f0c96d1e94
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Polynomial Regression Analysis for Removal of Heavy Metal Mixtures in Coagulation/Flocculation of Electroplating Wastewater

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