Statistical Design of Experimental and Bootstrap Neural Network Modelling Approach for Thermoseparating Aqueous Two-Phase Extraction of Polyhydroxyalkanoates

Statistical Design of Experimental and Bootstrap Neural Network Modelling Approach for Thermoseparating Aqueous Two-Phase Extraction of Polyhydroxyalkanoates

At present, polyhydroxyalkanoates (PHAs) have been considered as a promising alternative to conventional plastics due to their diverse variability in structure and rapid biodegradation. To ensure cost competitiveness in the market, thermoseparating aqueous two-phase extraction (ATPE) with the advant...

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Bibliographic Details
Main Authors: Yoong Kit Leong, Chih-Kai Chang, Senthil Kumar Arumugasamy, John Chi-Wei Lan, Hwei-San Loh, Dinie Muhammad, Pau Loke Show
Format: Article
Language:English
Published: MDPI AG 2018-01-01
Series:Polymers
Subjects:
aqueous two-phase extraction
bioseparations
design of experiment
purification
polyhydroxyalkanoates
Online Access:http://www.mdpi.com/2073-4360/10/2/132

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http://www.mdpi.com/2073-4360/10/2/132

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