Statistical Optimization of the Fenton Process for Treatment of Amoxicillin and Cloxacillin Antibiotic Aqueous Solution by Response Surface Methodology
Fenton treatment of amoxicillin and cloxacillin antibiotic aqueous solution was optimized using the central composite design (CCD) and response surface methodology (RSM). The optimum operating conditions which achieved 78.98, 72.96 and 81.18% removal of COD, TOC and NH3-N, respectively at pH 3...
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Universiti Teknologi PETRONAS
2012
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my.utp.eprints.77392017-01-19T08:21:52Z Statistical Optimization of the Fenton Process for Treatment of Amoxicillin and Cloxacillin Antibiotic Aqueous Solution by Response Surface Methodology Affam, A. C. Chaudhuri, M. Kutty, S. R. M. TD Environmental technology. Sanitary engineering Fenton treatment of amoxicillin and cloxacillin antibiotic aqueous solution was optimized using the central composite design (CCD) and response surface methodology (RSM). The optimum operating conditions which achieved 78.98, 72.96 and 81.18% removal of COD, TOC and NH3-N, respectively at pH 3 were H2O2/COD molar ratio 2.0, H2O2/Fe2+ molar ratio 76 and reaction time 90 min. Removal efficiency by model prediction and experimental validation were in close agreement (<0.4% error). Biodegradability (BOD5/COD ratio) improved from zero to 0.33, indicating that the treated antibiotic aqueous solution was amenable to biological treatment. FTIR spectra indicated degradation of the beta-lactam bond of the antibiotics. Universiti Teknologi PETRONAS 2012 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/7739/1/1569547873.pdf Affam, A. C. and Chaudhuri, M. and Kutty, S. R. M. (2012) Statistical Optimization of the Fenton Process for Treatment of Amoxicillin and Cloxacillin Antibiotic Aqueous Solution by Response Surface Methodology. In: UNSPECIFIED. http://eprints.utp.edu.my/7739/ |
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TD Environmental technology. Sanitary engineering Affam, A. C. Chaudhuri, M. Kutty, S. R. M. Statistical Optimization of the Fenton Process for Treatment of Amoxicillin and Cloxacillin Antibiotic Aqueous Solution by Response Surface Methodology |
description |
Fenton treatment of amoxicillin and cloxacillin
antibiotic aqueous solution was optimized using the central
composite design (CCD) and response surface methodology
(RSM). The optimum operating conditions which achieved
78.98, 72.96 and 81.18% removal of COD, TOC and NH3-N,
respectively at pH 3 were H2O2/COD molar ratio 2.0, H2O2/Fe2+
molar ratio 76 and reaction time 90 min. Removal efficiency by
model prediction and experimental validation were in close
agreement (<0.4% error). Biodegradability (BOD5/COD ratio)
improved from zero to 0.33, indicating that the treated
antibiotic aqueous solution was amenable to biological
treatment. FTIR spectra indicated degradation of the
beta-lactam bond of the antibiotics. |
format |
Conference or Workshop Item |
author |
Affam, A. C. Chaudhuri, M. Kutty, S. R. M. |
author_facet |
Affam, A. C. Chaudhuri, M. Kutty, S. R. M. |
author_sort |
Affam, A. C. |
title |
Statistical Optimization of the Fenton Process for
Treatment of Amoxicillin and Cloxacillin Antibiotic
Aqueous Solution by Response Surface
Methodology |
title_short |
Statistical Optimization of the Fenton Process for
Treatment of Amoxicillin and Cloxacillin Antibiotic
Aqueous Solution by Response Surface
Methodology |
title_full |
Statistical Optimization of the Fenton Process for
Treatment of Amoxicillin and Cloxacillin Antibiotic
Aqueous Solution by Response Surface
Methodology |
title_fullStr |
Statistical Optimization of the Fenton Process for
Treatment of Amoxicillin and Cloxacillin Antibiotic
Aqueous Solution by Response Surface
Methodology |
title_full_unstemmed |
Statistical Optimization of the Fenton Process for
Treatment of Amoxicillin and Cloxacillin Antibiotic
Aqueous Solution by Response Surface
Methodology |
title_sort |
statistical optimization of the fenton process for
treatment of amoxicillin and cloxacillin antibiotic
aqueous solution by response surface
methodology |
publisher |
Universiti Teknologi PETRONAS |
publishDate |
2012 |
url |
http://eprints.utp.edu.my/7739/1/1569547873.pdf http://eprints.utp.edu.my/7739/ |
_version_ |
1738655598536294400 |
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13.154949 |