Solar driven degradation of 4-chlorophenol

Krutzler, T.; Fallmann, H.; Maletzky, P.; Bauer, R.; Malato, S.; Blanco, J.

doi:10.1016/s0920-5861(99)00193-5

Cited by 52 publications

(17 citation statements)

References 15 publications

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“…However, a low dose of accumulated UVA radiation per liter of solution in the solar pilot plant (5.3 kJ L À1 of UVA radiation) was needed to get the same efficiency achieved in lab-scale (31.7 kJ L À1 of UVA radiation). Similar behavior was observed in previous studies (Krutzler et al, 1999;Oliveros et al, 1997). Studying the influence of the irradiation source in the degradation of a model of wastewater containing xylidine, Oliveros et al (1997) found that a medium pressure mercury lamp (majority of photons emitted between 300 and 400 nm) provided superior results to those obtained using a low pressure mercury lamp (254 nm) and an excimer lamp (222 nm).…”

Section: Degradation Of Cap In a Solar Pilot Plant Under The Best Consupporting

confidence: 82%

Degradation of the antibiotic chloramphenicol by photo-Fenton process at lab-scale and solar pilot plant: Kinetic, toxicity and inactivation assessment

et al. 2013

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Section: Degradation Of Cap In a Solar Pilot Plant Under The Best Consupporting

confidence: 82%

Degradation of the antibiotic chloramphenicol by photo-Fenton process at lab-scale and solar pilot plant: Kinetic, toxicity and inactivation assessment

et al. 2013

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“…When applied to the degradation of pollutants, these reactions are usually termed advanced oxidation technologies (AOT) [10,11]. The common AOT use low to moderate concentrations of inexpensive, environmentally compatible chemical reagents and, in favorable cases, lead to the complete oxidation of organic pollutants into carbon dioxide, water, and inorganic compounds of all heteroatoms other than oxygen.…”

Section: Introductionmentioning

confidence: 99%

“…However, exposure to UV-visible light strongly accelerates both Fenton (H 2 O 2 /Fe(II)) and Fenton-like (H 2 O 2 /Fe(III)) reactions, improving the degradation rates of a variety of organic pollutants [10,18,19]. This enhancement has been explained by 800 Fe(III)-photo-catalyzed reactions, i.e., photolysis of hydroxide complexes of Fe(III) yielding hydroxyl radicals and regenerating Fe(II) (reaction R3) and photochemical reactions of complexes formed between Fe(III) and the organic substrate or between Fe(III) and intermediate of degradation, especially organic acids, which exhibit strong ligand-to-metal charge absorption bands in the near-UV and visible regions of the spectrum (reaction R4): However, the rate constant of HO with organic compounds is generally 1±3 orders of magnitude larger than that of reaction R5 [22], and the latter reaction can be minimized by continuously feeding the H 2 O 2 solution (at an appropriate H 2 O 2 concentration) into the reactor, as done in this work.…”

Section: Introductionmentioning

confidence: 99%

Photo‐Fenton Remediation of Wastewaters Containing Silicones: Experimental Study and Neural Network Modeling

Teixeira

Guardani

Nascimento³

2004

Chem Eng & Technol

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The present work is aimed at the investigation of the photo-Fenton technology with regard to the remediation of diluted aqueous emulsions containing an aminosilicone polymer, in a bench-scale photochemical reactor. The experimental results show a strong interaction between temperature, light, Fe(II) and H 2 O 2 concentrations on the degradation process, which generates substances that might be readily biodegradable and/or a solid phase that is easily separated by simple mechanical operations. The neural network technique is an effective, simple approach to successfully modeling the photo-Fenton degradation system, in which thermal and photochemical reactions and related phenomena (such as solid precipitation) take place. The model might therefore be useful in process optimization, as well as in the design and scaleup of photochemical reactors for industrial application.

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“…[4][5][6][7][8] Thus, for elimination of pollutants in water, several techniques including photocatalysis, Fenton reaction, microbacterial and hydrolysis methods [9][10][11][12] have been widely studied as practical aspects of efficient oxidation process.…”

Section: Introductionmentioning

confidence: 99%

Identification of Electrical Degradation Products of 4-Chlorophenol in Water

et al. 2003

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The electrical decomposition of 4-chlorophenol in water was examined with iridium dioxide doped on a titanium electrode. A number of electrical degradation products of 4-chlorophenol, such as hydroquinone and chlorohydroquinone via the addition of hydroxyl radicals, and dichlorophenol through addition of chlorine radical, were observed as major products. Moreover, hydroxylated chlorobiphenylethers, hydroxylated dibenzo-p-dioxin/furans and hydroxylated chlorobiphenyls formed by a dimerization process during the electrolysis process of 4-chlorophenol were also observed. On the other hand, benzoquinone, muconic acid and aldehyde derivatives that were further oxidative products of hydroquinone formed by photocatalysis process, were not observed. The electrical decomposition products of 4-chlorophenol were trimethylsilylated and then identified by gas chromatography-mass spectrometry. The degradation rate of 4-chlorophenol in water by iridium oxide electrode was measured against the electrical process duration. After iridium electrical process for 120 min, about 50% of 4-chlorophenol was converted into a number of products through oxidation processes. On the basis of the identified products, the degradation pathways of 4-chlorophenol under electrolysis process were proposed.

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Solar driven degradation of 4-chlorophenol

Cited by 52 publications

References 15 publications

Degradation of the antibiotic chloramphenicol by photo-Fenton process at lab-scale and solar pilot plant: Kinetic, toxicity and inactivation assessment

Degradation of the antibiotic chloramphenicol by photo-Fenton process at lab-scale and solar pilot plant: Kinetic, toxicity and inactivation assessment

Photo‐Fenton Remediation of Wastewaters Containing Silicones: Experimental Study and Neural Network Modeling

Identification of Electrical Degradation Products of 4-Chlorophenol in Water

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