title: Optimization of the mineralization of a mixture of phenolic pollutants under a ferrioxalate-induced solar photo-Fenton process.
abstract: The mineralization of solutions containing a mixture of three phenolic compounds, gallic, p-coumaric and protocatechuic acids, in a ferrioxalate-induced solar photo-Fenton process was investigated. The reactions were carried out in a pilot plant consisting of a compound parabolic collector (CPC) solar reactor. An optimization study was performed combining a multivariate experimental design and neuronal networks that included the following variables: pH, temperature, solar power, air flow and initial concentrations of H(2)O(2), Fe(II) and oxalic acid. Under optimal conditions, total elimination of the original compounds and 94% TOC removal of the mixture were achieved in 5 and 194 min, respectively. pH and initial concentrations of H(2)O(2) and Fe(II) were the most significant factors affecting the mixture mineralization. The molar correlation between consumed hydrogen peroxide and removed TOC was always between 1 and 3. A detailed analysis of the reaction was presented. The values of the pseudo-first-order mineralization kinetic rate constant, k(TOC), increased as initial Fe(II) and H(2)O(2) concentrations and temperature increased. The optimum pH value also slightly increased with greater Fe(II) and hydrogen peroxide concentrations but decreased when temperature increased. OH and O(2)(-) radicals were the main oxidative intermediate species in the process, although singlet oxygen ((1)O(2)) also played a role in the mineralization reaction.
authors.affiliation: University of Castilla-La Mancha, Grupo IMAES, Department of Chemical Engineering, Escuela Técnica Superior de Ingenieros Industriales, Avda Camilo José Cela, 1, 13071 Ciudad Real, Spain. josemaria.monteagudo@uclm.es
authors.forename: J M
authors.initials: JM
authors.lastname: Monteagudo
authors.forename: A
authors.initials: A
authors.lastname: Durán
authors.forename: M
authors.initials: M
authors.lastname: Aguirre
authors.forename: I
authors.initials: I
authors.lastname: San Martín
mesh_terms: D000465:Algorithms; D002851:Chromatography, High Pressure Liquid; D004785:Environmental Pollutants / Q000032:analysis*; D006861:Hydrogen Peroxide / Q000032:analysis / Q000737:chemistry*; D006863:Hydrogen-Ion Concentration; D062385:Hydroxybenzoates / Q000032:analysis*; D007501:Iron / Q000737:chemistry*; D007700:Kinetics; D008903:Minerals / Q000032:analysis*; D016571:Neural Networks, Computer; D010070:Oxalates / Q000032:analysis / Q000737:chemistry*; D010084:Oxidation-Reduction; D010100:Oxygen / Q000032:analysis; D010777:Photochemistry; D012993:Solar Energy; D016082:Solar System; D013056:Spectrophotometry, Ultraviolet; D013696:Temperature
chemical_list: D004785:Environmental Pollutants; C045076:Fenton's reagent; D062385:Hydroxybenzoates; D008903:Minerals; D010070:Oxalates; C034942:ferrioxalate; D006861:Hydrogen Peroxide; D007501:Iron; C017616:phenolic acid; D010100:Oxygen