صورة الغلاف

Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control

The research objectives are to extract vanilla oleoresins from vanilla beans using ultrasonic solvent extraction technique to define oleoresins yield produced and to develop Quality Control Charts for the process in the UMEPPS. The scopes covered studies on the influence of the variation of vanilla...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Abdul Samad, Noor Asma Fazli, Harun, N., Siti Aishah, Mustafa
التنسيق: Research Report
اللغة:English
منشور في: 2007
الموضوعات:
TP Chemical technology
الوصول للمادة أونلاين:http://umpir.ump.edu.my/id/eprint/36516/1/Optimization%20of%20short-path%20distillation%20of%20ginger%20extraction%20pilot%20plant%20%28GEPP%29%20process%20using%20multivariate%20statistical%20process%20control.wm.pdf
http://umpir.ump.edu.my/id/eprint/36516/
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id my.ump.umpir.36516
record_format eprints
spelling my.ump.umpir.365162025-03-07T07:33:34Z http://umpir.ump.edu.my/id/eprint/36516/ Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control Abdul Samad, Noor Asma Fazli Harun, N. Siti Aishah, Mustafa TP Chemical technology The research objectives are to extract vanilla oleoresins from vanilla beans using ultrasonic solvent extraction technique to define oleoresins yield produced and to develop Quality Control Charts for the process in the UMEPPS. The scopes covered studies on the influence of the variation of vanilla surface area, type of solvent and sonication or exposure time to the yield of vanilla oleoresins, the solvent to material ratio in vanilla solvent extraction, vanillin detection in the vanilla oleoresins using HPLC and development of the Polynomial Regression Models and Shewhart Control Charts. The lab data provided by the UMEPPS are then used for the development of Polynomial Regression Models and Shewhart Control Charts using MATLAB software tool as yield been the key process variable that is base for Statistical Process Control (SPC) technique. Ethanol appeared to be the best solvent in maximizing extraction yield of 52.8 wt% after 24 hours of ultrasonic solvent extraction when the grinded vanilla beans used. The employment of ultrasound to the solvent extraction gives a significant reduction in extraction time of 120 minutes and increasing maximum extraction yield of 39.7 wt% when using UMEPPS. The 6th degree and 5th degree Polynomial Regression Models is the best fitted models because the values of goodness of fit statistics are closest to the reference values. The Shewhart Control Charts for Experimental Data 1 indicated that the process in the UMEPPS is normally distributed however for Experimental Data 2; the X Bar Control Chart revealed that the process in the UMEPPS is out of control. However, the validation of the models cannot be done with other sets of experimental data from the UMEPPS. 2007 Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36516/1/Optimization%20of%20short-path%20distillation%20of%20ginger%20extraction%20pilot%20plant%20%28GEPP%29%20process%20using%20multivariate%20statistical%20process%20control.wm.pdf UNSPECIFIED and Abdul Samad, Noor Asma Fazli and Harun, N. and Siti Aishah, Mustafa (2007) Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control. , [Research Report] (Unpublished)
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Abdul Samad, Noor Asma Fazli
Harun, N.
Siti Aishah, Mustafa
Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control
description The research objectives are to extract vanilla oleoresins from vanilla beans using ultrasonic solvent extraction technique to define oleoresins yield produced and to develop Quality Control Charts for the process in the UMEPPS. The scopes covered studies on the influence of the variation of vanilla surface area, type of solvent and sonication or exposure time to the yield of vanilla oleoresins, the solvent to material ratio in vanilla solvent extraction, vanillin detection in the vanilla oleoresins using HPLC and development of the Polynomial Regression Models and Shewhart Control Charts. The lab data provided by the UMEPPS are then used for the development of Polynomial Regression Models and Shewhart Control Charts using MATLAB software tool as yield been the key process variable that is base for Statistical Process Control (SPC) technique. Ethanol appeared to be the best solvent in maximizing extraction yield of 52.8 wt% after 24 hours of ultrasonic solvent extraction when the grinded vanilla beans used. The employment of ultrasound to the solvent extraction gives a significant reduction in extraction time of 120 minutes and increasing maximum extraction yield of 39.7 wt% when using UMEPPS. The 6th degree and 5th degree Polynomial Regression Models is the best fitted models because the values of goodness of fit statistics are closest to the reference values. The Shewhart Control Charts for Experimental Data 1 indicated that the process in the UMEPPS is normally distributed however for Experimental Data 2; the X Bar Control Chart revealed that the process in the UMEPPS is out of control. However, the validation of the models cannot be done with other sets of experimental data from the UMEPPS.
format Research Report
author Abdul Samad, Noor Asma Fazli
Harun, N.
Siti Aishah, Mustafa
author_facet Abdul Samad, Noor Asma Fazli
Harun, N.
Siti Aishah, Mustafa
title Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control
title_short Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control
title_full Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control
title_fullStr Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control
title_full_unstemmed Optimization of short-path distillation of ginger extraction pilot plant (GEPP) process using multivariate statistical process control
title_sort optimization of short-path distillation of ginger extraction pilot plant (gepp) process using multivariate statistical process control
publishDate 2007
url http://umpir.ump.edu.my/id/eprint/36516/1/Optimization%20of%20short-path%20distillation%20of%20ginger%20extraction%20pilot%20plant%20%28GEPP%29%20process%20using%20multivariate%20statistical%20process%20control.wm.pdf
http://umpir.ump.edu.my/id/eprint/36516/
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score 13.250246

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