Comparative Analysis of 6 Linear Equations Belonging to Langmuir Isotherm Model in Adsorption of Cu (II) Ion with Siirt Akdoğmuş Clay (SAK)

Abstract

Heavy metals pose a great danger to all living things if they are used more than necessary. Copper is one of the most well-known among these toxic heavy metals, especially for human use, which dates back to ancient times. One of the most effective and economical methods used in heavy metal removal is adsorption. In order to apply this method to isotherm models, efficient isotherm analysis is essential. Adsorption on heavy metals is generally chemical adsorption. For this reason, the most known and used models for the application of chemical adsorption are Freundlich, Langmuir, Temkin and Dubinin-Radushkevich. In fact, although Langmuir's isotherm model is not linear, Langmuir's 6 types of linear equations are derived from this model. It is very important how these 6 types of isotherm equations given together in this study can be used. The clay used in this study is located in Siirt province. It was obtained from Akdoğmuş (gundeseyh) village. SEM, XRD, XRF analyzes of this clay were made. The data obtained as a result of the adsorption process applied to the clay treated with Cu (II) were applied to 6 types of linear equations obtained from the Langmuir isotherm model, and a comparison was made and their suitability was determined by looking at the regression coefficients. According to the results obtained by using the least squares method as the regression model, the degrees of fitness are written in order; type 3= type 6 < type 1= type 4 < type 2 = type 5. shape has been determined. The most suitable R² values were determined as 0.9997 for type 2 and type 5. The K_L values accepted as a measure of affinity are type 2 <type 5 <type 6 < type 4 < type 3= type1. It is understood that qm values are type 5 < type 2 < type 6 < type 4 < type 3 < type 1. The largest qm value was 21,418 and it was determined to belong to type 5.