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Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products

Optimization process is an important aspect in the natural product extractions. Herein, an alternative approach is proposed for the optimization in extraction, namely, the Generalized Likelihood Uncertainty Estimation (GLUE). The approach combines the Latin hypercube sampling, the feasible range of...

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Main Authors: Maulidiani, Maulidiani, Rudiyanto, Rudiyanto, Abas, Faridah, Ismail, Intan Safinar, Lajis, Nordin
格式: Article
语言:English
出版: Elsevier 2018
在线阅读:http://psasir.upm.edu.my/id/eprint/72826/1/Generalized%20Likelihood%20Uncertainty%20Estimation%20.pdf
http://psasir.upm.edu.my/id/eprint/72826/
https://www.sciencedirect.com/science/article/abs/pii/S0308814618300232
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spelling my.upm.eprints.728262021-03-11T19:58:58Z http://psasir.upm.edu.my/id/eprint/72826/ Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products Maulidiani, Maulidiani Rudiyanto, Rudiyanto Abas, Faridah Ismail, Intan Safinar Lajis, Nordin Optimization process is an important aspect in the natural product extractions. Herein, an alternative approach is proposed for the optimization in extraction, namely, the Generalized Likelihood Uncertainty Estimation (GLUE). The approach combines the Latin hypercube sampling, the feasible range of independent variables, the Monte Carlo simulation, and the threshold criteria of response variables. The GLUE method is tested in three different techniques including the ultrasound, the microwave, and the supercritical CO2 assisted extractions utilizing the data from previously published reports. The study found that this method can: provide more information on the combined effects of the independent variables on the response variables in the dotty plots; deal with unlimited number of independent and response variables; consider combined multiple threshold criteria, which is subjective depending on the target of the investigation for response variables; and provide a range of values with their distribution for the optimization. Elsevier 2018-06 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72826/1/Generalized%20Likelihood%20Uncertainty%20Estimation%20.pdf Maulidiani, Maulidiani and Rudiyanto, Rudiyanto and Abas, Faridah and Ismail, Intan Safinar and Lajis, Nordin (2018) Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products. Food Chemistry, 250. 37 - 45. ISSN 0308-8146; ESSN: 1873-7072 https://www.sciencedirect.com/science/article/abs/pii/S0308814618300232 10.1016/j.foodchem.2018.01.023
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
description Optimization process is an important aspect in the natural product extractions. Herein, an alternative approach is proposed for the optimization in extraction, namely, the Generalized Likelihood Uncertainty Estimation (GLUE). The approach combines the Latin hypercube sampling, the feasible range of independent variables, the Monte Carlo simulation, and the threshold criteria of response variables. The GLUE method is tested in three different techniques including the ultrasound, the microwave, and the supercritical CO2 assisted extractions utilizing the data from previously published reports. The study found that this method can: provide more information on the combined effects of the independent variables on the response variables in the dotty plots; deal with unlimited number of independent and response variables; consider combined multiple threshold criteria, which is subjective depending on the target of the investigation for response variables; and provide a range of values with their distribution for the optimization.
format Article
author Maulidiani, Maulidiani
Rudiyanto, Rudiyanto
Abas, Faridah
Ismail, Intan Safinar
Lajis, Nordin
spellingShingle Maulidiani, Maulidiani
Rudiyanto, Rudiyanto
Abas, Faridah
Ismail, Intan Safinar
Lajis, Nordin
Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products
author_facet Maulidiani, Maulidiani
Rudiyanto, Rudiyanto
Abas, Faridah
Ismail, Intan Safinar
Lajis, Nordin
author_sort Maulidiani, Maulidiani
title Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products
title_short Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products
title_full Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products
title_fullStr Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products
title_full_unstemmed Generalized Likelihood Uncertainty Estimation (GLUE) methodology for optimization of extraction in natural products
title_sort generalized likelihood uncertainty estimation (glue) methodology for optimization of extraction in natural products
publisher Elsevier
publishDate 2018
url http://psasir.upm.edu.my/id/eprint/72826/1/Generalized%20Likelihood%20Uncertainty%20Estimation%20.pdf
http://psasir.upm.edu.my/id/eprint/72826/
https://www.sciencedirect.com/science/article/abs/pii/S0308814618300232
_version_ 1695532743290519552
score 13.250246

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