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Multiple linear regression modelling of hot water extraction of soursop juice


Citation

Quek, Meei Chien and Chin, Nyuk Ling and Yusof, Yus Aniza (2012) Multiple linear regression modelling of hot water extraction of soursop juice. In: International Conference on Agricultural and Food Engineering for Life (Cafei2012), 26-28 Nov. 2012, Palm Garden Hotel, Putrajaya. (pp. 313-318).

Abstract

The effect of hot water extraction on juice yield, ascorbic acid, lightness and total soluble solids of soursop juice was modelled using the response surface methodology. The soursop samples were treated at extraction temperatures of 30, 60 or 90 °C for extraction times of 30, 90 or 150 minutes. The regression model adequately represented the experimental data with goodness of fit of R2 greater than 0.60. The juice yield (p<0.05), ascorbic acid (p<0.05), lightness (p<0.05) and total soluble solids (p<0.001) were significantly affected by extraction temperature. The juice yield, ascorbic acid and total soluble solids of soursop juice increased while lightness decreased with increasing extraction temperature.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
Publisher: Faculty of Engineering, Universiti Putra Malaysia
Keywords: Hot water extraction; Response surface methodology; Soursop juice
Depositing User: Nabilah Mustapa
Date Deposited: 02 Mar 2017 06:18
Last Modified: 02 Mar 2017 06:18
URI: http://psasir.upm.edu.my/id/eprint/50668
Statistic Details: View Download Statistic

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