Development of response surface methodology for optimization of parameters and quantitative analysis of chebulinic acid from composition of medicinal herbs by HPLC

Munawar, T. Mohammad; Prakash, Dhan; Vangalapati, Meena

doi:10.1016/j.sjbs.2018.02.013

Cited by 12 publications

(4 citation statements)

References 11 publications

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“…HPLC optimization followed by quantitative estimation was previously reported using single-point calibration [32,47]. In this study, a multiple-point calibration method was applied for estimating the content of resorcinol and 4-n-butyl resorcinol.…”

Section: Quantitative Estimationmentioning

confidence: 99%

Multiple Response Optimization of a HPLC Method for Analyzing Resorcinol and 4-<i>n</i>-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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Section: Quantitative Estimationmentioning

confidence: 99%

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

et al. 2021

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“…Qualitative estimation for genistein, daidzein, and glycitein was performed using a single-point calibration method [27,32]. The concentration of genistein, daidzein, and glycitein was determined by the peak area sample and standards.…”

Section: Quantitative Estimationmentioning

confidence: 99%

“…The research of RSM development for HPLC separation, followed by quantitative estimation, has been performed in the previous studies [27]. A single point calibration method was applied for estimating the content of genistein, daidzein, and glycitein using a single-point calibration method.…”

Section: Quantitative Estimationmentioning

confidence: 99%

“…On the other hand, R, as opensource software with the GNU General Public License (GPL), offers a broad range of statistical technique by installing software packages for each statistical need [22]. The interest in implementing RSM for the HPLC method has increased since there were many reports on its application in the field of chromatographic method optimization over the last decade [23][24][25][26][27][28]. Nevertheless, there was limited publication reporting the employment of R software for HPLC optimization.…”

Section: ■ Introductionmentioning

confidence: 99%

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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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Chemometrics in Quality Control of Traditional Chinese Medicines

He,

2024

Quality Control of Chinese Medicines

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Development of response surface methodology for optimization of parameters and quantitative analysis of chebulinic acid from composition of medicinal herbs by HPLC

Cited by 12 publications

References 11 publications

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

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

Chemometrics in Quality Control of Traditional Chinese Medicines

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