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Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.

The purpose of this study was to optimize the production parameters for water-soluble phytosterol nanodispersions. Response surface methodology (RSM) was employed to model and optimize three of the processing parameters: mixing time (t) by conventional homogenizer (1–20 min), mixing speed (v) by con...

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Main Authors: Wai, Fun Leong, Kok, Whye Cheong, Lai, Oi Ming, Long, Kamariah, Che Man, Yaakob, Misran, Misni, Tan, Chin Ping
Format: Article
Language:English
English
Published: Springer Verlag 2011
Online Access:http://psasir.upm.edu.my/id/eprint/22271/1/Response%20surface%20modeling%20of%20processing%20parameters%20for%20the%20preparation%20of%20phytosterol%20Nanodispersions%20using%20an%20emulsification.pdf
http://psasir.upm.edu.my/id/eprint/22271/
http://link.springer.com/
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spelling my.upm.eprints.222712015-10-09T07:51:29Z http://psasir.upm.edu.my/id/eprint/22271/ Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique. Wai, Fun Leong Kok, Whye Cheong Lai, Oi Ming Long, Kamariah Che Man, Yaakob Misran, Misni Tan, Chin Ping The purpose of this study was to optimize the production parameters for water-soluble phytosterol nanodispersions. Response surface methodology (RSM) was employed to model and optimize three of the processing parameters: mixing time (t) by conventional homogenizer (1–20 min), mixing speed (v) by conventional homogenizer (1,000–9,000 rpm) and homogenization pressure (P) by high-pressure homogenizer (0.1–80 MPa). All responses [i.e., mean particle size (PS), polydispersity index (PDI) and phytosterols concentration (Phyto, mg/l)] fitted well to a reduced quadratic model by multiple regressions after manual elimination. For PS, PDI and Phyto, the coefficients of determination (R 2) were 0.9902, 0.9065 and 0.8878, respectively. The optimized processing parameters were 15.25 min mixing time, 7,000 rpm mixing speed and homogenization pressure 42.4 MPa. In the produced nanodispersions, the corresponding responses for the optimized preparation conditions were a PS of 52 nm, PDI of 0.3390 and a Phyto of 336 mg/l. Springer Verlag 2011-05 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/22271/1/Response%20surface%20modeling%20of%20processing%20parameters%20for%20the%20preparation%20of%20phytosterol%20Nanodispersions%20using%20an%20emulsification.pdf Wai, Fun Leong and Kok, Whye Cheong and Lai, Oi Ming and Long, Kamariah and Che Man, Yaakob and Misran, Misni and Tan, Chin Ping (2011) Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique. Journal of the American Oil Chemists' Society, 88 (5). pp. 717-725. ISSN 0003-021X; ESSN:1558-9331 http://link.springer.com/ 10.1007/s11746-010-1714-7 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description The purpose of this study was to optimize the production parameters for water-soluble phytosterol nanodispersions. Response surface methodology (RSM) was employed to model and optimize three of the processing parameters: mixing time (t) by conventional homogenizer (1–20 min), mixing speed (v) by conventional homogenizer (1,000–9,000 rpm) and homogenization pressure (P) by high-pressure homogenizer (0.1–80 MPa). All responses [i.e., mean particle size (PS), polydispersity index (PDI) and phytosterols concentration (Phyto, mg/l)] fitted well to a reduced quadratic model by multiple regressions after manual elimination. For PS, PDI and Phyto, the coefficients of determination (R 2) were 0.9902, 0.9065 and 0.8878, respectively. The optimized processing parameters were 15.25 min mixing time, 7,000 rpm mixing speed and homogenization pressure 42.4 MPa. In the produced nanodispersions, the corresponding responses for the optimized preparation conditions were a PS of 52 nm, PDI of 0.3390 and a Phyto of 336 mg/l.
format Article
author Wai, Fun Leong
Kok, Whye Cheong
Lai, Oi Ming
Long, Kamariah
Che Man, Yaakob
Misran, Misni
Tan, Chin Ping
spellingShingle Wai, Fun Leong
Kok, Whye Cheong
Lai, Oi Ming
Long, Kamariah
Che Man, Yaakob
Misran, Misni
Tan, Chin Ping
Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.
author_facet Wai, Fun Leong
Kok, Whye Cheong
Lai, Oi Ming
Long, Kamariah
Che Man, Yaakob
Misran, Misni
Tan, Chin Ping
author_sort Wai, Fun Leong
title Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.
title_short Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.
title_full Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.
title_fullStr Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.
title_full_unstemmed Response surface modeling of processing parameters for the preparation of phytosterol Nanodispersions using an emulsification-evaporation technique.
title_sort response surface modeling of processing parameters for the preparation of phytosterol nanodispersions using an emulsification-evaporation technique.
publisher Springer Verlag
publishDate 2011
url http://psasir.upm.edu.my/id/eprint/22271/1/Response%20surface%20modeling%20of%20processing%20parameters%20for%20the%20preparation%20of%20phytosterol%20Nanodispersions%20using%20an%20emulsification.pdf
http://psasir.upm.edu.my/id/eprint/22271/
http://link.springer.com/
_version_ 1643827779283714048
score 13.211869

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