Optimization of Enzymatic Synthesis of Betulinic Acid Amide in Organic Solvent by Response Surface Methodology (RSM)

Yusof, Nurul Atikah Amin; Hadzir, Nursyamsyila Mat; Ashari, Siti Efliza; Hanapi, Nor Suhaila Mohamad; Hamid, Rossuriati Dol

doi:10.22146/ijc.34903

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Optimization of cellulose ethers synthesized was used Box Behnken design (BBD) design, which was developed by the response surface methodology (RSM) and was analyzed using Design Expert v.13 software with BBD design. RSM is a statistical technique used to design experiments, build models, evaluate the effects of variables, identify optimal conditions for variables, and predict responses reliably, quickly, and straightforwardly [20][21]. The three-level factorial setting on the optimization using BBD allows this design to be more efficient and economical.…”

Section: ■ Introductionmentioning

confidence: 99%

Cellulose Ethers from Banana (Musa balbisiana Colla) Blossom Cellulose: Synthesis and Multivariate Optimization

Salama,

Firdaus,

Suryanti

2024

Indones. J. Chem.

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Cellulose ethers are biocompatible polymers which have attracted considerable attention for various applications due to their physical and mechanical properties. The present work aims to find the optimum condition for synthesizing cellulose ethers from banana blossom cellulose (BBC) such as methylcellulose (MC), carboxymethyl cellulose (CMC) and hydroxypropyl cellulose (HPC). The ultrasonication-assisted method as an energy source is used to shorten the synthesis time at room temperature and obtain high yields. The influences of various parameters (NaOH concentration, etherification agents, and sonication time) were analyzed using a multivariate statistical modeling response surface methodology (RSM). The materials were characterized by FTIR, SEM, and TGA. The cellulose ethers obtained have the potential as food additives with DS values of 2.0, 0.7, and 0.86, respectively. MC was synthesized optimally with a yield of 96.52% using a composition of cellulose (0.4 g), 50% (w/v) NaOH (10 mL) and dichloromethane (6 mL). CMC was synthesized optimally with a yield of 98.26% using a composition of cellulose (0.4 g), 30% (w/v) NaOH (2 mL) and monochloroacetic acid (1 g). HPC was synthesized optimally with a yield of 97.51% using a composition of cellulose (0.4 g), 10% (w/v) NaOH (2 mL) and propylene oxide (1.5 mL).

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Section: ■ Introductionmentioning

confidence: 99%

Cellulose Ethers from Banana (Musa balbisiana Colla) Blossom Cellulose: Synthesis and Multivariate Optimization

Salama,

Firdaus,

Suryanti

2024

Indones. J. Chem.

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“…Several modern multivariate analysis techniques for quantitatively determining analytes content in mixtures were applied to analyze food and drug materials [8][9][10] as well as herbal products [11][12][13]. However, it is necessary to develop chromatographic separation for determining 'actual value' for chemometrics modeling prediction [14][15]. In the last decade, chromatography techniques have been widely applied to determine chemicals content in foods [16][17][18][19], drugs [20][21][22], and herbals [23][24][25][26].…”

Section: ■ Introductionmentioning

confidence: 99%

Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-n-Butyl Resorcinol in Lipid Nanoparticles

et al. 2021

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Resorcinol and 4-n-butyl resorcinol have been used to improve skin health. However, these two compounds were unstable due to the oxidation process. Lipid nanoparticle formulation strategies were reported as the solution to overcome the stability problem for both resorcinol and 4-n-butyl resorcinol. Nevertheless, it is important to determine the content of resorcinol and 4-n-butyl resorcinol in lipid nanoparticle formulation. Aiming to develop the analytical method for resorcinol and 4-n-butyl resorcinol determination, a response surface methodology (RSM) was applied in the HPLC optimization stage. An optimized HPLC condition was obtained by generating a Box-Behnken design followed by multiple response analysis. It was obtained that optimized HPLC conditions due to the predictive multiple response optimization were methanol percentage of 50.0%, acetonitrile percentage of 18.1%, and flow rate of 0.6 mL min–1. This optimized condition was successfully applied and met the requirements of the system suitability test. Quantitative estimation was performed and resulted that the resorcinol and 4-n-butyl resorcinol content in lipid nanoparticles were 70.37 ± 0.47 and 95.07 ± 0.80 µg mL–1, respectively.

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“…As an analytical method, analytes separation by HPLC was affected by several experimental conditions, including column conditions, solvent purity, column temperature, flow rate, and mobile phase composition [13]. Observation of the optimum conditions for the HPLC method can be performed using response surface methodology (RSM) as a mathematical-statistical model for optimization [14][15][16][17][18]. RSM can be employed in the optimization of independent variables in HPLC separation [18].…”

Section: ■ Introductionmentioning

confidence: 99%

Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method

et al. 2020

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Soy milk, one of the soybean products, become more popular in recent years due to its benefit for human health. Biological activities of soybean products have been widely studied according to the presence of isoflavone aglycones content, including genistein, daidzein, and glycitein. Hence, it is important to develop an effective and efficient analytical method to provide guidance regarding appropriate isoflavone intake levels for soy milk. A reversed-phase high performance liquid chromatography (HPLC) method was developed and optimized in this study employed by R statistical software with the package of rsm. A C18 column was used for HPLC separation with the detection at 260 nm. Optimized condition for HPLC separation has been achieved with the mobile phase of methanol: water (63.26:36.74), a flow rate of 0.81 mL/min, and a column temperature of 45.31 °C. These conditions were applied in the HPLC system and successfully tested for the system suitability. Quantitative estimation was performed and resulted that the genistein, daidzein, and glycitein content in soy milk samples were 6.372, 6.273, and 2.853 µg/mL, respectively.

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Optimization of Enzymatic Synthesis of Betulinic Acid Amide in Organic Solvent by Response Surface Methodology (RSM)

Cited by 3 publications

References 18 publications

Cellulose Ethers from Banana (<i>Musa balbisiana</i> Colla) Blossom Cellulose: Synthesis and Multivariate Optimization

Cellulose Ethers from Banana (<i>Musa balbisiana</i> Colla) Blossom Cellulose: Synthesis and Multivariate Optimization

Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-Butyl Resorcinol in Lipid Nanoparticles

Employing an R Software Package rsm for Optimizing of Genistein, Daidzein, and Glycitein Separation and Its Application for Soy Milk Analysis by HPLC Method

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