Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester.
Artificial neural network (ANN) analysis of immobilized Candida antarctica lipase B-catalyzed esterification of palmitic acid with xylitol was carried out. Temperature, time, amount of enzyme, amount of molecular sieve, substrate molar ratio and volume of solvent were the six important parameters us...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier
2011
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| Online Access: | http://psasir.upm.edu.my/id/eprint/13276/ http://psasir.upm.edu.my/id/eprint/13276/1/Artificial%20neural%20network%20analysis%20of%20lipase.pdf |
| _version_ | 1848842068746567680 |
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| author | Adnani, Atena Basri, Mahiran Chaibakhsh, Naz Abdul Rahman, Mohd Basyaruddin Salleh, Abu Bakar |
| author_facet | Adnani, Atena Basri, Mahiran Chaibakhsh, Naz Abdul Rahman, Mohd Basyaruddin Salleh, Abu Bakar |
| author_sort | Adnani, Atena |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Artificial neural network (ANN) analysis of immobilized Candida antarctica lipase B-catalyzed esterification of palmitic acid with xylitol was carried out. Temperature, time, amount of enzyme, amount of molecular sieve, substrate molar ratio and volume of solvent were the six important parameters used as the inputs of the network trained by Levenberg–Marquardt (LM) algorithm. After evaluating different ANN configurations, the best network was found to be consisted of two hidden layers with six and seven neurons in the first and second layers respectively, using a hyperbolic tangent sigmoid transfer function. The coefficient of determination (R2) and mean square error (MSE) values between the actual and predicted responses were 1 and 1.5025e−24 for the training and 0.97239 and 0.03259 for the testing datasets. The results indicate the good generalization performance of the neural network model and its capability to predict the conversion of the substrates. |
| first_indexed | 2025-11-15T07:53:15Z |
| format | Article |
| id | upm-13276 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T07:53:15Z |
| publishDate | 2011 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-132762015-10-06T07:05:56Z http://psasir.upm.edu.my/id/eprint/13276/ Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. Adnani, Atena Basri, Mahiran Chaibakhsh, Naz Abdul Rahman, Mohd Basyaruddin Salleh, Abu Bakar Artificial neural network (ANN) analysis of immobilized Candida antarctica lipase B-catalyzed esterification of palmitic acid with xylitol was carried out. Temperature, time, amount of enzyme, amount of molecular sieve, substrate molar ratio and volume of solvent were the six important parameters used as the inputs of the network trained by Levenberg–Marquardt (LM) algorithm. After evaluating different ANN configurations, the best network was found to be consisted of two hidden layers with six and seven neurons in the first and second layers respectively, using a hyperbolic tangent sigmoid transfer function. The coefficient of determination (R2) and mean square error (MSE) values between the actual and predicted responses were 1 and 1.5025e−24 for the training and 0.97239 and 0.03259 for the testing datasets. The results indicate the good generalization performance of the neural network model and its capability to predict the conversion of the substrates. Elsevier 2011 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13276/1/Artificial%20neural%20network%20analysis%20of%20lipase.pdf Adnani, Atena and Basri, Mahiran and Chaibakhsh, Naz and Abdul Rahman, Mohd Basyaruddin and Salleh, Abu Bakar (2011) Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. Industrial Crops and Products, 33 (1). pp. 42-48. ISSN 0926-6690 10.1016/j.indcrop.2010.08.006 English |
| spellingShingle | Adnani, Atena Basri, Mahiran Chaibakhsh, Naz Abdul Rahman, Mohd Basyaruddin Salleh, Abu Bakar Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| title | Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| title_full | Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| title_fullStr | Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| title_full_unstemmed | Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| title_short | Artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| title_sort | artificial neural network analysis of lipase-catalyzed synthesis of sugar alcohol ester. |
| url | http://psasir.upm.edu.my/id/eprint/13276/ http://psasir.upm.edu.my/id/eprint/13276/ http://psasir.upm.edu.my/id/eprint/13276/1/Artificial%20neural%20network%20analysis%20of%20lipase.pdf |