CrVI reductive transformation process by humic acid extracted from bog peat: Effect of variables and multi-response modeling

The present paper reports the efficiency of bog peat-derived humic acid (HA) in the reductive removal of hexavalent chromium (Cr-VI) from aqueous solution as affected by solution pH, the dose of Fe-III and reaction time (numeric variables) and light irradiation (categorical variable). A three-level Box-Behnken design (BBD) applied to design experimental matrix, model the effects and interactions of variables on four determined responses (residual concentration of dissolved Cr-VI, dissolved Cr-III, dissolved Fe-II and total Cr-VI) and optimize the experimental conditions for highest Cr-VI removal efficiency (Cr-VI RE). Reaction mechanisms are also well discussed. Regression models were developed and analyzed by the ANOVA test and models determination coefficient R-2. Obtained models were significant (F values > 13) and an excellent relationship between experimental and predicted responses (R-2: 98.1-99.6%) was observed. The optimum conditions were established corresponding to the residual concentration of dissolved Cr-VI as an index for Cr-VI removal efficiency (RE). In the dark system, the highest Cr-VI RE (98.1%) was obtained under the following conditions: pH = 1, reaction time = 7 d and Fe-III dosage = 0.110 mM. In the light-irradiated system, the optimal Cr-VI RE of 98.3% was observed in pH = 1, reaction time = 5 d and Fe-III dosage = 0.075 mM. Almost all reduced Cr-III remained in the solution even at high pH value. No adsorption or precipitation of Cr-III on the HA surface at pH 5 was confirmed by surface analyses of HA using X-ray photoelectron spectroscopy (XPS) and atomic force microscopy (AFM). (C) 2020 Elsevier Ltd. All rights reserved.

Automated summary

The study investigated the efficiency of bog peat-derived humic acid in the reductive removal of hexavalent chromium from aqueous solution, focusing on the impact of solution pH, Fe-III dosage, reaction time, and light irradiation. Regression models were developed and analyzed, showing a strong relationship between experimental and predicted responses. The highest Cr-VI removal efficiencies were achieved under specific optimal conditions in both dark and light-irradiated systems.