ChemInform Abstract: Resolution of (RS)‐Proglumide Using Lipase from Candida cylindraceae.

Muralidhar, R. V.; Chirumamilla, RR; Ramachandran, V. N.; Marchant, Roger; Nigam, Poonam Singh Nee

doi:10.1002/chin.200220061

Cited by 8 publications

(14 citation statements)

References 1 publication

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“…A smaller P value means the corresponding coefficient is more significant (Muralidhar et al . ). The concentration of Ca(OH) 2 solution was the most significant ( P value = 0.0006) factor affecting the yield of SRBF and the concentration of Ca(OH) 2 solution on the effect of SRBF yield analysis exhibited the largest linear regression coefficient (0.38; Table ).…”

Section: Resultsmentioning

confidence: 97%

“…In addition, Muralidhar et al . () have reported that a circular contour plot can be used to demonstrate insignificant interactions between the corresponding variables and an elliptical contour plot demonstrates significant interactions between corresponding variables. Therefore, Fig.…”

Section: Resultsmentioning

confidence: 99%

“…The regression coefficient values of the quadratic polynomial equation are listed in Table 4. The P value is used to verify the significance of each coefficient and to describe the degree of interaction strength between the variables (Muralidhar et al 2001). A smaller P value means the corresponding coefficient is more significant (Muralidhar et al 2001).…”

Section: Optimization Of Extraction Condition For Srbf From Drbmentioning

confidence: 99%

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Optimization of Soluble Dietary Fiber Extraction from Defatted Rice Bran Using Response Surface Methodology

Wan

Rodezno

Solval

et al. 2012

Journal of Food Processing and Preservation

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Optimum extraction conditions for extraction of soluble rice bran fiber (SRBF) from defatted rice bran (DRB) were determined using response surface methodology (RSM). The three independent variables for extracting SRBF, including ratio of Ca(OH)2 solution to DRB, concentration of Ca(OH)2 and extraction temperature on the yield of SRBF were determined on the basis of single factor experiments. A Box–Behnken design (BBD) was used to investigate the effects of the three independent variables, and the BBD consisted of 15 experimental points with three replications at the center point. The experimental study examined the effect of the independent variables within the following ranges: Ca(OH)2 solution to DRB ratio range of 25:1–30:1, Ca(OH)2 concentration in the range of 2–3% and the temperature in the range of 20–100C The optimum experimental yield of SRBF (7.86 ± 0.04%) was obtained at the extraction condition of 3% Ca(OH)2 solution with a ratio of solution to DRB of 29.75:1 (mL/g) stirred for 1 h at 84C. The experimental yield percentage was in agreement with predicted yield percentage of SRBF by RSM at the optimum extraction conditions. Practical Applications The optimum soluble rice bran fiber (SRBF) yield cannot be estimated based on just the one‐factor‐at‐a‐time (single‐factor) approach, because it is not only time consuming, but also the interaction between extractions condition may not be included in the determination of the yield and/or quality. A study is needed not only to determine the optimum extraction conditions to obtain a desirable yield or quality of SRBF from defatted rice bran (DRB) but also to understand the degree of interactions between extraction conditions such as temperature, time, ratio of solvent to raw material and solvent concentration.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Section: Optimization Of Extraction Condition For Srbf From Drbmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Soluble Dietary Fiber Extraction from Defatted Rice Bran Using Response Surface Methodology

Wan

Rodezno

Solval

et al. 2012

Journal of Food Processing and Preservation

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“…The P value is used as a tool to check the significance of each coefficient and the interaction strength between each independent variable [22]. According to the P values of each model term summarized in Table 2, it could be concluded that these terms including an independent variable ( X 2 ) and two quadratic terms ( X 1 2 and X 2 2 ) were significantly affecting the yield of gentisides (“Prob > F ” less than 0.05), and among them quadratic terms were the most significant parameters which influenced GY.…”

Section: Resultsmentioning

confidence: 99%

“…According to contour plots' shapes produced by Design-Expert 8.0.6., response surface plots demonstrated whether the mutual interactions between the variables are significant or not, which were shown in Figure 4. Circular contour plot indicates that the interactions between the corresponding variables are negligible, while elliptical contour plot indicates that the interactions between the corresponding variables are significant [22]. As two variables were depicted in same plots while the other variable was kept at level 0, relationships between independent and dependent variables could be intuitively conveyed.…”

Section: Resultsmentioning

confidence: 99%

Optimization of Gentisides Extraction fromGentiana rigescensFranch. ex Hemsl. by Response Surface Methodology

Chu

Shi

et al. 2015

Journal of Analytical Methods in Chemistry

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Gentisides are a class of chemical compounds which is considered as potential therapeutic substance for treatment of neurodegenerative disorders. The heat reflux extraction conditions were optimized for seven kinds of gentisides from the root and rhizome of Gentiana rigescens Franch. ex Hemsl. by employing response surface method. Based on univariate test, a Box-Behnken design (BBD) was applied to the survey of relationships between response value (gentisides yield) and independent variables which were chosen from various extraction processes, including extraction temperature, extraction time, and solvent-material ratio. The optimized conditions for this extraction are as follows: extraction time of 3.40 h, extraction temperature of 74.33°C, and ratio of solvent to raw material of 10.21 : 1 mL/g. Verification assay revealed that the predicted value (99.24%) of extraction parameters from this model was mainly conformed to the experimentally observed values (98.61 ± 0.61).

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Antifungal activities of anthocyanins from purple sweet potato in the presence of food preservatives

Hua

Kang

et al. 2016

Food Sci Biotechnol

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Effects of anthocyanins from purple sweet potato (APSP) against the fungal growth of and were assessed. Response surface methodology was applied for optimization of proportions of sodium benzoate, potassium sorbate, and APSP. Optimum concentrations against were 0.300 mg/mL of sodium benzoate, 0.290mg/mL of potassium sorbate, and 13.9mg/mL of APSP. Optimum concentrations against were 0.380 mg/mL of sodium benzoate, 0.240 mg/mL of potassium sorbate, and 3.56 mg/mL of APSP. APSP exhibited enhanced antifungal properties in the presence of food preservatives.

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ChemInform Abstract: Resolution of (RS)‐Proglumide Using Lipase from Candida cylindraceae.

Abstract: 2002 carboxylic amides carboxylic amides (benzene compounds) Q 0490 -061Resolution of (RS)-Proglumide Using Lipase from Candida cylindraceae.--(MURALIDHAR, R. V.; CHIRUMAMILLA, R. R.; RAMACHANDRAN, V. N.; MARCHANT, R.; NIGAM, P.; Bioorg. Med.

Cited by 8 publications

References 1 publication

Optimization of Soluble Dietary Fiber Extraction from Defatted Rice Bran Using Response Surface Methodology

Optimization of Soluble Dietary Fiber Extraction from Defatted Rice Bran Using Response Surface Methodology

Optimization of Gentisides Extraction fromGentiana rigescensFranch. ex Hemsl. by Response Surface Methodology

Antifungal activities of anthocyanins from purple sweet potato in the presence of food preservatives

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