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首页> 外文期刊>Turkish journal of chemistry >Adsorption isotherm modeling of carbendazim and flumetsulam onto homoionic-montmorillonite clays: comparison of linear and nonlinear models
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Adsorption isotherm modeling of carbendazim and flumetsulam onto homoionic-montmorillonite clays: comparison of linear and nonlinear models

机译:多菌灵和氟美沙姆在均离子蒙脱土上的吸附等温线模型:线性和非线性模型的比较

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This study deals with the adsorption of two pesticides, carbendazim and flumetsulam, from aqueous solutions onto four homoionic-montmorillonite clays (Ag$^{+}$, Zn$^{2+}$, Cu$^{2+}$, and H$^{+})$. Equilibrium adsorption isotherm data were analyzed using Freundlich, Dubinin-Radushkevich, and Temkin isotherms. Linear and nonlinear fitting methods were compared to determine the best-fitting isotherms for the experimental data. Three error analysis methods were used to evaluate the data for each method: the coefficient of determination (R$^{2})$, sum of squared errors (SSE), and chi-square test ($chi^{2})$. Equilibrium adsorption isotherms exhibited that the carbendazim adsorption mainly involved cation exchange with homoionic-montmorillonite adsorbents. However, for flumetsulam, the main mechanisms were possibly the cation bridging by Ag$^{+}$, Zn$^{2+}$, and Cu$^{2+}$ cations and the surface complexation reactions of the adsorption on homoionic-montmorillonite (H$^{+})$ adsorbent. The modeling results showed that the nonlinear Freundlich model could fit the data better than the Dubinin-Radushkevich or Temkin models, with relatively higher R$^{2}$ and smaller SSE and $chi ^{2}$ values. Thus, the nonlinear method is a better way to obtain the isotherm parameters.
机译:这项研究涉及从水溶液中吸附两种农药多菌灵和氟美沙姆到四种同型蒙脱土(Ag $ ^ {+} $,Zn $ ^ {2 +} $,Cu $ ^ {2 +} $,和H $ ^ {+})$。使用Freundlich,Dubinin-Radushkevich和Temkin等温线分析了平衡吸附等温线数据。比较了线性和非线性拟合方法,以确定实验数据的最佳拟合等温线。三种误差分析方法用于评估每种方法的数据:确定系数(R $ ^ {2})$,平方误差总和(SSE)和卡方检验($ chi ^ {2}) $。平衡吸附等温线表明,多菌灵吸附主要涉及与同价蒙脱土吸附剂的阳离子交换。然而,对于氟美司他,主要机理可能是Ag $ ^ {+} $,Zn $ ^ {2 +} $和Cu $ ^ {2 +} $阳离子与桥联反应以及吸附在Cu上的表面络合反应。均蒙脱石(H $ ^ {+})$吸附剂。建模结果表明,非线性Freundlich模型比Dubinin-Radushkevich或Temkin模型更适合数据,具有相对较高的R $ ^ {2} $和较小的SSE和$ chi ^ {2} $值。因此,非线性方法是获得等温线参数的更好方法。

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