Optimization of extraction process by response surface methodology and preliminary characterization of polysaccharides from Phellinus igniarius

Guo, Xusheng; Zou, Xiang; Sun, Min

doi:10.1016/j.carbpol.2009.11.028

Cited by 152 publications

(56 citation statements)

References 17 publications

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“…RSM helps in determining the relationship between one or more measured responses and multiple input variables (Deepak et al 2011), it can reduce the number of experimental trials and evaluate the interactions between multiple parameters. It is more effective and precise than many approaches (Guo et al 2010). Box-Behnken design (BBD), one of RSM, was used to optimize the alkali extraction technology for AMP in present work.…”

Section: Introductionmentioning

confidence: 99%

Alkali extraction and in vitro antioxidant activity of Monascus mycelium polysaccharides

et al. 2012

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In the present work, alkali extraction technology was used to optimize the extraction of Monascus mycelium polysaccharides for the first time. The extracting parameters of alkali extracted Monascus mycelium polysaccharides were optimized by Box-Behnken design (BBD). The optimum conditions were extraction temperature 49°C, alkali concentration 7%, solvent/material ratio 23:1 (ml/g) and extraction time 2.3 h with an enhanced yield of 10.1%, compared with the yield 4.76% of hot water extraction, indicating that alkali extraction is a more efficient way. In order to discuss the biological activity of alkali extracted polysaccharides, we compared the in vitro antioxidant activity of alkali extracted polysaccharides (AMP) with hot water extracted polysaccharides (HMP). The result showed that AMP have the similar capability of scavenging both superoxide radical and 2, 2-diphenyl-1-picrylhydrazyl (DPPH) radical of HMP in vitro. Therefore, alkali extraction technology is not only a highefficiency way to extract AMP, but also can retain the natural antioxidant activities of AMP, which can be used in pharmaceutical and food industries.

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Section: Introductionmentioning

confidence: 99%

Alkali extraction and in vitro antioxidant activity of Monascus mycelium polysaccharides

et al. 2012

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“…The maximum predicted value was indicated by the surface confined in the smallest ellipse in the contour diagram. Elliptical contours are obtained whenever there is a perfect interaction between the independent variables (Guo et al, 2010).…”

Section: Discussionmentioning

confidence: 99%

Optimization of biomass and glucoamylase production by Candida famata using response surface methodology

Lagzouli¹,

El²,

Ali³

et al. 2017

Afr. J. Biotechnol.

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Glucoamylase is among the most important enzymes in biotechnology. The present study aims to determine better conditions for growth and glucoamylase productivity by Candida famata and to reduce the overall cost of the medium using central composite design (CCD) with one central point and response surface methodology. A three-level central composite design (CCD) factorial design based was employed to obtain optimal medium combination of four independent variables such as soluble starch, (NH 4 ) 2 HPO 4 , yeast extract, and MgSO 4 . 25 randomized mediums were incubated in flask on a rotary shaker at 105 rpm for 72 h at 30°C. The production of biomass was found to be starch, (NH 4 ) 2 HPO 4 and yeast extract dependent; maximum production was obtained when the starch concentration was 5 g/L, yeast extract, 5 g/L and (NH 4 ) 2 HPO 4 2 g/L. Positive interaction was observed between (NH 4 ) 2 HPO 4 and both starch and yeast extract. All the variables were highly significant for glucoamylase production according to their p values; maximum production was found at 5 g/L of yeast extract, 7 g/L of starch and 3 g/L of (NH 4 ) 2 HPO 4 ; furthermore, yeast extract and (NH 4 ) 2 HPO 4 interacted positively. Central composite design used for the analysis of treatment combinations gave a secondorder polynomial regression model with R 2 = 0.99 for biomass and R 2 = 0.98 for glucoamylase. The final biomass and glucoamylase activity obtained was very close to the calculated parameters; the predicted optimal parameters were confirmed and provide a basis for further studies in the valuation of starch waste products.

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“…They reported that the yield and the quality of dietary fibers are dependent of the relevant conditions used to extract the fibers. Numerous other studies have also shown that the extraction of non-starch polysaccharides was significantly affected by the extraction conditions (Wu et al, 2007;Yin and Dang, 2008;Liu et al, 2009;Li et al, 2009;Qiao et al, 2009;Zhao et al, 2009;Guo et al, 2010;Sun et al, 2010;Zhu et al, 2010).…”

Section: Introductionmentioning

confidence: 95%

Optimization of processing parameters for extraction of total, insoluble and<br>soluble dietary fibers of defatted rice bran

Daou

Zhang

2013

Emir. J. Food Agric

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Response surface methodology was used to optimize the processing parameters for extraction of total dietary fiber (TDF), insoluble dietary fiber (IDF) and soluble dietary fiber (SDF) of defatted rice bran (DRB). The studied independent factors were concentration of NaOH solution (varying from 0.15 to 0.25 mol/L), soaking time (from 60 to 90 min), α-amylase enzyme -substrate (E: S) ratio (from 0.6:100 to 0.9:100 g: g of dry DRB) and alcalase enzyme concentration (from 3.5:100 to 4.7 g: g of dry DRB)) whereas; the dependent variables were extraction yield and purity of TDF, IDF and SDF. Therefore, the three-level four-factor Box-Behnken design was used to establish the optimum conditions and the generated regression quadratic polynomial models and adequacy of each dependent variable were significant (p < 0.0001) with regression coefficient R2 (> 0.90) and lack of-fit was not significant. Moreover, ANOVA showed that most of the linear, interaction and quadratic regression coefficient values were significant (p < 0.05). The optimum processing parameters observed for extraction of TDF, IDF and SDF with high yield and purity were: 0.15 mol/L NaOH solution concentration, 64.3 min soaking time, 0.68:100 and 3.52:100 (g: g) α-amylase and alcalase enzyme -substrate ratio (E: S), respectively. Moreover, the alkali pretreatment was the factor amongst the others that significantly (p<0.05) affected the purity of Fiber fractions but did not contribute to improve their yields.

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Optimization of extraction process by response surface methodology and preliminary characterization of polysaccharides from Phellinus igniarius

Cited by 152 publications

References 17 publications

Alkali extraction and in vitro antioxidant activity of Monascus mycelium polysaccharides

Alkali extraction and in vitro antioxidant activity of Monascus mycelium polysaccharides

Optimization of biomass and glucoamylase production by Candida famata using response surface methodology

Optimization of processing parameters for extraction of total, insoluble and<br>soluble dietary fibers of defatted rice bran

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