DocumentCode :
1978712
Title :
Optimization of Aloe vera and alginate as encapsulating matrices for Lactobacillus acidophilus using FCCD-RSM approach
Author :
Syahirah, S. Nur ; Anida, Y. ; Nazirah, M. Y. Hifa ; Ahmad, Siti A. ; Dahalan, F.A. ; Khalilah, A.K.
Author_Institution :
Dept. of Biomol. Sci., Univ. Teknol. MARA Malaysia, Shah Alam, Malaysia
fYear :
2013
fDate :
19-20 Aug. 2013
Firstpage :
43
Lastpage :
47
Abstract :
In order to maintain the viability of probiotic, the used of prebiotic is important. Aloe vera has been hypothesized to be a prebiotic potential for probiotic. Due to low viability of encapsulated cells, Aloe vera gel was used to be part of enacapsulating matrices for probioctic, Lactobacillus acidophilus. As a result, optimization of Aloe vera gel with sodium alginate was carried out in order to determine the maximum encapsulation yield. Face centered composite design-response surface methodology (FCCD-RSM) was employed to optimize the sodium alginate concentration and Aloe vera gel (prebiotic) composition during microencapsulation process in performing a better encapsulation yield for L. acidophilus. The encapsulation yield (EY) of encapsulated L. acidophilus was investigated with respect to two variables which were sodium alginate (X1) and Aloe vera gel (X2). Result obtained with polynomial regression model used in this study showed highly significant (0.0013) with R2 value was 0.9138. Aloe vera gel was showed highly significant (p<;0.05) effect to the encapsulation yield. The optimum Aloe vera gel and sodium alginate were obtained at 1.12% (v/v) and 1.28% (w/v), respectively. Based on the verification process, the experimental and predicted results were showed not significant difference (p<; 0.05).
Keywords :
biotechnology; encapsulation; enzymes; microorganisms; optimisation; pharmaceutical technology; polynomials; regression analysis; response surface methodology; sodium compounds; FCCD-RSM approach; Lactobacillus acidophilus; aloe vera gel; encapsulating matrices; face centered composite design-response surface methodology; microencapsulation process; optimization; polynomial regression model; probiotics; sodium alginate; Conferences; Encapsulation; Mathematical model; Microorganisms; Optimization; Response surface methodology; Systems engineering and theory; Aloe vera gel; Lactobacillus acidophilus; Optimization; RSM; alginate; encapsulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Engineering and Technology (ICSET), 2013 IEEE 3rd International Conference on
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-1028-1
Type :
conf
DOI :
10.1109/ICSEngT.2013.6650140
Filename :
6650140
Link To Document :
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