| 3rd International Conference on Chemical Engineering Sciences and Applications 2017 | |
| Isolation of fish skin and bone gelatin from tilapia (Oreochromis niloticus): Response surface approach | |
| Arpi, N.^1 ; Fahrizal, F.^1 ; Novita, M.^1 | |
| Agricultural Product Technology Department, Faculty of Agriculture, Syiah Kuala University, Jl. Krueng Hasan Kalee 3, Kopelma Darussalam, Banda Aceh | |
| 23111, Indonesia^1 | |
| 关键词: Dependent variables; Extraction conditions; Extraction process; Extraction temperatures; Independent variables; Oreochromis niloticus; Pretreatment process; Response surface methodology; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/334/1/012061/pdf DOI : 10.1088/1757-899X/334/1/012061 |
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| 来源: IOP | |
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【 摘 要 】
In this study, gelatin from fish collagen, as one of halal sources, was extracted from tilapia (Oreochromis niloticus) skin and bone, by using Response Surface Methodology to optimize gelatin extraction conditions. Concentrations of alkaline NaOH and acid HCl, in the pretreatment process, and temperatures in extraction process were chosen as independent variables, while dependent variables were yield, gel strength, and emulsion activity index (EAI). The result of investigation showed that lower NaOH pretreatment concentrations provided proper pH extraction conditions which combine with higher extraction temperatures resulted in high gelatin yield. However, gelatin emulsion activity index increased proportionally to the decreased in NaOH concentrations and extraction temperatures. No significant effect of the three independent variables on the gelatin gel strength. RSM optimization process resulted in optimum gelatin extraction process conditions using alkaline NaOH concentration of 0.77 N, acid HCl of 0.59 N, and extraction temperature of 66.80 °C. The optimal solution formula had optimization targets of 94.38%.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| Isolation of fish skin and bone gelatin from tilapia (Oreochromis niloticus): Response surface approach | 421KB |
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