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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72826/ http://psasir.upm.edu.my/id/eprint/72826/1/Generalized%20Likelihood%20Uncertainty%20Estimation%20.pdf |
| _version_ | 1848857211825029120 |
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| author | Maulidiani, Maulidiani Rudiyanto, Rudiyanto Abas, Faridah Ismail, Intan Safinar Lajis, Nordin |
| author_facet | Maulidiani, Maulidiani Rudiyanto, Rudiyanto Abas, Faridah Ismail, Intan Safinar Lajis, Nordin |
| author_sort | Maulidiani, Maulidiani |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:53:57Z |
| format | Article |
| id | upm-72826 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:53:57Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/72826/ http://psasir.upm.edu.my/id/eprint/72826/ http://psasir.upm.edu.my/id/eprint/72826/ http://psasir.upm.edu.my/id/eprint/72826/1/Generalized%20Likelihood%20Uncertainty%20Estimation%20.pdf |