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Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology
Among the pharmaceutical compounds, antibiotics have been paid specific consideration, due to their acute and chronic toxic effects on organisms. Amoxicillin (AMX) is used widely for treatment of bacterial infections. About 80% of amoxicillin excreted unchanged and enters the aquatic environment thr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141797/ https://www.ncbi.nlm.nih.gov/pubmed/30246081 http://dx.doi.org/10.1016/j.dib.2018.06.109 |
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author | Kalantary, Roshanak Rezaei Rahmatinia, Massuomeh Moradi, Masoud |
author_facet | Kalantary, Roshanak Rezaei Rahmatinia, Massuomeh Moradi, Masoud |
author_sort | Kalantary, Roshanak Rezaei |
collection | PubMed |
description | Among the pharmaceutical compounds, antibiotics have been paid specific consideration, due to their acute and chronic toxic effects on organisms. Amoxicillin (AMX) is used widely for treatment of bacterial infections. About 80% of amoxicillin excreted unchanged and enters the aquatic environment through different routes including disposal of municipal wastewaters, hospital wastewaters and farm wastewaters. In this study degradation of amoxicillin by UV/Na(2)S(2)O(8)/FeS(2) process was evaluated. According to the results, the R-squared and adjusted R-squared were 0.9877 and 0.9828, respectively. The AMX removal efficiency was 93% at optimum conditions. Thus, UV/Na(2)S(2)O(8)/FeS(2) process is a useful process for amoxicillin removal. |
format | Online Article Text |
id | pubmed-6141797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61417972018-09-21 Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology Kalantary, Roshanak Rezaei Rahmatinia, Massuomeh Moradi, Masoud Data Brief Chemical Engineering Among the pharmaceutical compounds, antibiotics have been paid specific consideration, due to their acute and chronic toxic effects on organisms. Amoxicillin (AMX) is used widely for treatment of bacterial infections. About 80% of amoxicillin excreted unchanged and enters the aquatic environment through different routes including disposal of municipal wastewaters, hospital wastewaters and farm wastewaters. In this study degradation of amoxicillin by UV/Na(2)S(2)O(8)/FeS(2) process was evaluated. According to the results, the R-squared and adjusted R-squared were 0.9877 and 0.9828, respectively. The AMX removal efficiency was 93% at optimum conditions. Thus, UV/Na(2)S(2)O(8)/FeS(2) process is a useful process for amoxicillin removal. Elsevier 2018-07-02 /pmc/articles/PMC6141797/ /pubmed/30246081 http://dx.doi.org/10.1016/j.dib.2018.06.109 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Chemical Engineering Kalantary, Roshanak Rezaei Rahmatinia, Massuomeh Moradi, Masoud Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology |
title | Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology |
title_full | Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology |
title_fullStr | Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology |
title_full_unstemmed | Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology |
title_short | Data on modeling of UV/Na(2)S(2)O(8)/FeS(2) process in amoxicillin removal using Box-Behnken methodology |
title_sort | data on modeling of uv/na(2)s(2)o(8)/fes(2) process in amoxicillin removal using box-behnken methodology |
topic | Chemical Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6141797/ https://www.ncbi.nlm.nih.gov/pubmed/30246081 http://dx.doi.org/10.1016/j.dib.2018.06.109 |
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