Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)

Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)

One of important factor in reverse micelle extraction is backward transfer. It is important to investigate the favourable conditions for backward transfer from reverse micellar phase to an organic phase. The back extraction of amoxicillin was studied using mixed reverse micelle with combination...

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Main Authors: Siti Norazimah, Mohamad Aziz, Mimi Sakinah, A. M.
Format: Article
Language:English
Published: Universiti Malaysia Pahang 2017
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/19136/
http://umpir.ump.edu.my/id/eprint/19136/
http://umpir.ump.edu.my/id/eprint/19136/
http://umpir.ump.edu.my/id/eprint/19136/1/ftech-2017-mimi-Mathematical%20Modelling%20Of%20Backward%20Extraction%20Mixed.pdf
id ump-19136
recordtype eprints
spelling ump-191362017-11-21T03:27:45Z http://umpir.ump.edu.my/id/eprint/19136/ Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM) Siti Norazimah, Mohamad Aziz Mimi Sakinah, A. M. TP Chemical technology One of important factor in reverse micelle extraction is backward transfer. It is important to investigate the favourable conditions for backward transfer from reverse micellar phase to an organic phase. The back extraction of amoxicillin was studied using mixed reverse micelle with combination sodium bis(2-ethylhexyl) sulfosuccinate (AOT) and TWEEN 85. Backward extraction was optimized via response surface methodology (RSM). For mathematical modelling, Central Composite Design (CCD) was used to studies the significant of independent variables: pH of stripping solution (5-8), KCl concentration (2.0 -16.0 g/L) and backward extraction time (5-35 minutes) on the response of the process. Optimized backward extraction for maximized final mass of amoxicillin extracted into aqueous were pH of stripping solution (6.58), backward time (19.8 minutes) and concentration of KCl (11.02 g/L) on the response of the process. Result showed that the experimental data was fitted well to a second-order polynomial model. Universiti Malaysia Pahang 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19136/1/ftech-2017-mimi-Mathematical%20Modelling%20Of%20Backward%20Extraction%20Mixed.pdf Siti Norazimah, Mohamad Aziz and Mimi Sakinah, A. M. (2017) Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM). Journal of Chemical Engineering and Industrial Biotechnology (JCEIB), 2. pp. 47-58. ISSN 0126-8139 http://jceib.ump.edu.my/index.php/en/download/volume2-2017/47-mathematical-modelling-of-backward-extraction-mixed-reverse-micelle-of-amoxicillin-by-surface-response-methodology-rsm-page-47-58/file DOI: https://doi.org/10.15282/JCEIB-V1-16.29/9/2017/2.2
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Siti Norazimah, Mohamad Aziz
Mimi Sakinah, A. M.
Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)
description One of important factor in reverse micelle extraction is backward transfer. It is important to investigate the favourable conditions for backward transfer from reverse micellar phase to an organic phase. The back extraction of amoxicillin was studied using mixed reverse micelle with combination sodium bis(2-ethylhexyl) sulfosuccinate (AOT) and TWEEN 85. Backward extraction was optimized via response surface methodology (RSM). For mathematical modelling, Central Composite Design (CCD) was used to studies the significant of independent variables: pH of stripping solution (5-8), KCl concentration (2.0 -16.0 g/L) and backward extraction time (5-35 minutes) on the response of the process. Optimized backward extraction for maximized final mass of amoxicillin extracted into aqueous were pH of stripping solution (6.58), backward time (19.8 minutes) and concentration of KCl (11.02 g/L) on the response of the process. Result showed that the experimental data was fitted well to a second-order polynomial model.
format Article
author Siti Norazimah, Mohamad Aziz
Mimi Sakinah, A. M.
author_facet Siti Norazimah, Mohamad Aziz
Mimi Sakinah, A. M.
author_sort Siti Norazimah, Mohamad Aziz
title Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)
title_short Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)
title_full Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)
title_fullStr Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)
title_full_unstemmed Mathematical Modelling Of Backward Extraction Mixed Reverse Micelle Of Amoxicillin By Surface Response Methodology (RSM)
title_sort mathematical modelling of backward extraction mixed reverse micelle of amoxicillin by surface response methodology (rsm)
publisher Universiti Malaysia Pahang
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/19136/
http://umpir.ump.edu.my/id/eprint/19136/
http://umpir.ump.edu.my/id/eprint/19136/
http://umpir.ump.edu.my/id/eprint/19136/1/ftech-2017-mimi-Mathematical%20Modelling%20Of%20Backward%20Extraction%20Mixed.pdf
first_indexed 2023-09-18T22:27:25Z
last_indexed 2023-09-18T22:27:25Z
_version_ 1777416059571142656

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