2023
DOI: 10.3390/molecules28248019
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Optimization of Three Extraction Methods and Their Effect on the Structure and Antioxidant Activity of Polysaccharides in Dendrobium huoshanense

Hua Zhu,
Xin Yi,
Si-Si Jia
et al.

Abstract: Dendrobium huoshanense is a famous edible and medicinal herb, and polysaccharides are the main bioactive component in it. In this study, response surface methodology (RSM) combined with a Box–Behnken design (BBD) was used to optimize the enzyme-assisted extraction (EAE), ultrasound–microwave–assisted extraction (UMAE), and hot water extraction (HWE) conditions and obtain the polysaccharides named DHP-E, DHP-UM, and DHP-H. The effects of different extraction methods on the physicochemical properties, structure … Show more

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Cited by 3 publications
(2 citation statements)
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“…Especially at high solid-liquid ratios, the increasing trend of extraction yield became more pronounced with the increase in methanol volume fraction. The large inclination angle and steep slope of the response surface indicate a significant interaction between methanol volume fraction and solid-liquid ratio [31]. Similarly, the interaction of methanol volume fraction and soaking temperature had a significant effect on the extraction yield of neoechinulin A as can be seen in Figure 5b,e.…”
Section: Response Surface Analysismentioning
confidence: 73%
See 1 more Smart Citation
“…Especially at high solid-liquid ratios, the increasing trend of extraction yield became more pronounced with the increase in methanol volume fraction. The large inclination angle and steep slope of the response surface indicate a significant interaction between methanol volume fraction and solid-liquid ratio [31]. Similarly, the interaction of methanol volume fraction and soaking temperature had a significant effect on the extraction yield of neoechinulin A as can be seen in Figure 5b,e.…”
Section: Response Surface Analysismentioning
confidence: 73%
“…The values of R 2 and R 2 Adj were both close to 1, which suggested that the data had a high fit to the regression model [30]. The coefficient of variation (C.V.) was 2.38%, which was below the threshold of 10%, indicating that the model had strong experimental stability [31]. Therefore, the model can effectively analyze and predict the experimental results.…”
Section: Response Surface Analysismentioning
confidence: 78%