Enhanced extraction of rebaudioside-A: Experimental, response surface optimization and prediction using artificial neural network
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- 作者：Arijit Das ; Animes Kumar Golder ; Chandan Das ; cdas@iitg.ac.in" class="auth_mail" title="E-mail the corresponding author
- 关键词：AAD ; average absolute deviation ; ANN ; artificial neural network ; ANOVA ; analysis of variance ; CCD ; central composite design ; HPLC ; high performance liquid chromatography ; JECFA ; joint expert committee on food additives ; Reb-A ; rebaudioside A ; RMSE ; root mean square error ; RSM ; response surface methodology
- 刊名：Industrial Crops & Products
- 出版年：2015
- 出版时间：March 2015
- 年：2015
- 卷：65
- 期：Complete
- 页码：415-421
- 全文大小：1659 K
文摘
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Water is a good alternative to organic solvents for extraction of rebaudioside-A.
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Around 73.12% extraction efficiency was achieved for rebaudioside-A.
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A quadratic model was generated and process variables were optimized using RSM.
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Reb-A recovery was predicted by artificial neural network.