期刊
SOUTH AFRICAN JOURNAL OF BOTANY
卷 129, 期 -, 页码 9-16出版社
ELSEVIER
DOI: 10.1016/j.sajb.2018.09.001
关键词
ANN; Moringa oleifera Lam; Phenolic compounds; Pressurized hot water extraction; RSM; Vitamin C
资金
- NRF-South Africa
- Stint Sweden
Moringa oleifera is an excellent source of bioactive compounds which exhibit nutritional and medicinal properties. Pressurized hot water extraction is known as a green, environmentally, faster and efficient extraction technique. However, it is facing a challenge with the degradation of thermolabile compounds at higher temperature. This research was performed to investigate the influence of extraction temperature, time and flow rate of pressurized hot water extraction in the recovery of Vitamin C and phenolic compounds from Moringa oleifera leaves. Response surface methodology (RSM) and artificial neural network (ANN) were used as estimates and predictive models with maximum responses. The optimal pressurized hot water extraction conditions were identified at: 91 degrees C for temperature, 60 min for extraction time and 0.3 mL min(-1) for flow rate, giving a predicted concentration of 3.92 +/- 0.30, 4.74 +/- 0.32 and 0.357 +/- 0.19 g per 100 g of dry powder for kaempferol, quercetin and vitamin C, respectively. Evaluation of the twomodels through the statistical error parameters showed that ANN model gave a good predictive and estimation capabilities than RSM. Therefore, ANN can be recommended for use optimization method in the pressure hot water extraction. (C) 2018 SAAB. Published by Elsevier B.V. All rights reserved.
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