Optimization of a Novel Kinetic-Assisted Infundation for Rich-Egcg and Polyphenols of White Tea (Camellia Sinensis) Using Central Composite Design

Shiyan, Shaum; Hertiani, Triana; Martien, Ronny; Nugroho, Akhmad Kharis

doi:10.22159/ijap.2018v10i6.29654

Cited by 10 publications

(9 citation statements)

References 36 publications

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“…Flavonoid content was determined using quercetin standard. Measurements by spectrophotometric method using aluminum chloride reagent with sufficient modification [25,26]. Instrumentation used by Hitachi U-2900 (Hitachi, Japan) spectrophotometer.…”

Section: Determination Of Total Flavonoid Content (Tfc)mentioning

confidence: 99%

Chitosan Nanoparticle as a Delivery System for Polyphenols From Meniran Extract (Phyllanthus Niruri L.): Formulation, Optimization, and Immunomodulatory Activity

Pratiwi¹,

Martien

Murwanti

2019

Int J App Pharm

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Objective: This study aims to formulate meniran extract into polymeric nanoparticles. Better stability of active substances in formulas compared to unformulated extracts is expected to increase immunomodulatory activity. Methods: Nanoparticles were formulated using ionic gelation method with chitosan and tripolyphosphate polymers. Optimize the mixture of nanoparticles using simplex lattice design (SLD) with the help of Design-Expert (DX) software. Evaluation of particle size and potential zeta using dynamic light scattering (DLS). Interactions between components were analyzed using Fourier transform infrared spectrophotometry-attenuated total reflectance (FTIR-ATR) and morphology of the lyophilization results observed using scanning electron microscopy (SEM). Immunomodulatory tests using the latex assay method. The parameters tested included phagocytosis index, phagocytic activity, and nitric oxide secretion. Results: The optimum mixture of the formulation process was obtained in the composition of chitosan 0.270 %, extract 0.626 %, and tripolyphosphate 0.074 % with desirability value of 0.841. Optimal response with particle size 434.7±3.90 d. nm, polydispersity index 0.285±0.03 and entrapment efficiency 62.98±0.65 %. The zeta potential value in the optimum formula is 11.9±0.1 mV with a positive charge. Phagocytosis index and phagocytic activity of nanoparticles differed significantly (p<0.05) compared with unformulated extracts. Conclusion: Meniran extract was successfully formulated into polymeric nanoparticles using chitosan-tripolyphosphate polymer. The developed nanoparticles have the immunomodulatory activity that is better than unformulated extract.

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Section: Determination Of Total Flavonoid Content (Tfc)mentioning

confidence: 99%

Chitosan Nanoparticle as a Delivery System for Polyphenols From Meniran Extract (Phyllanthus Niruri L.): Formulation, Optimization, and Immunomodulatory Activity

Pratiwi¹,

Martien

Murwanti

2019

Int J App Pharm

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“…Anal. 2021, 1(1), [11][12][13][14][15][16][17][18][19][20][21][22] www.journal.ugm.ac.id/v3/IJCPA Verification is based on confidence interval (CI) and prediction interval (PI) values [23,28]. The value of 95% CI is the range between two values where the value of a sample mean is right in the middle of it.…”

Section: Optimum Formula Prediction and Verificationmentioning

confidence: 99%

Application of Factorial Design for Optimization of PVC-HPMC Polymers in Matrix Film Ibuprofen Patch-Transdermal Drug Delivery System

Pratiwi¹,

Susanti²,

Shiyan³

2020

Indonesian J. Chemom.Pharm. Anal

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Ibuprofen is a non-steroidal anti-inflammatory drug (NSAID) class of drugs, and oral use can cause side effects. Transdermal patch dosage forms are useful for minimizing side effects on oral administration. Transdermal patches are formulated using a special membrane that can control drug release in the matrix system. This study was intended to determine the characteristics of the resulting patch, the optimum composition of the formula, and the profile of the release of transdermal ibuprofen release. The film matrix optimization on the ibuprofen patch formulation uses design of experiment (DoE) approach using factorial design 22. The mixture of polyvinyl pyrrolidone (PVC) and hydroxypropyl methylcellulose (HPMC) components gives a pleasant texture, and the release results in vitro show a proper and controlled release of the ibuprofen patch. Based on the research, it can be concluded that the patch has excellent characteristics with a good texture so that the development time is long with the optimum formula of chitosan and HPMC, as well as having a proper and controlled release profile.

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“…1A, 1B, 1C). Adequate Precision showed the signal to noise ratio and must be more than 4 (Y1=8.489; Y2=7.176; Y3=7.273); thus all response indicates the adequate equation to describe the relationship between factors to responses [15][16][17].…”

Section: Optimization Studies Using a Factorial Designmentioning

confidence: 99%

Factorial Design as the Method in the Optimization of Timolol Maleate-Loaded Nanoparticle Prepared by Ionic Gelation Technique

et al. 2019

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Objective: This study aims to optimize the timolol maleate (TM) nanoparticle prepared by ionic gelation method using the factors of pectin (PC), calcium chloride (CC), and chitosan (CS) concentrations with the responses of entrapment efficiency, particle size, and polydispersity index using 23 factorial design. Methods: TM nanoparticle suspensions were obtained by mixing of PC (0,4-0,6% (w/v)), CC (0,2-0,4% (w/v)), and CS (0,01-0,02% (w/v)) with TM concentration of 0,02% w/v. Each mixture was then tested for entrapment efficiency, particle size, and polydispersity index. The test results were analyzed with 23 factorial design using Design-Expert software in order to determine the optimum formula. Results: The optimization study showed that all of the factors influenced the responses significantly (p<0.05) based on the analysis of variance (ANOVA) of the suggested models. The R2value and the adequate precision value of the three models were more than 0.7 and 4, respectively. The difference between Adjusted R-Squared and Predicted R-Squared value were less than 0.200. The optimum condition of TM nanoparticle was suggested at the desirability value of 0.839 with the concentration of PC, CC, and CS of 0,4% (w/v), 0,2% (w/v), and 0,01% (w/v), respectively. The entrapment efficiency, particle size, and polydispersity index of the optimum condition were 24.791±2.84%, 274.867±14.45 nm, and 0.634±0.066, respectively. Conclusion: The 23factorial design has been proved as the suitable method to determine the optimum condition that yields the good results of the entrapment efficiency, particle size, and polydispersity index of the TM-loaded nanoparticle prepared by ionic gelation method.

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Optimization of a Novel Kinetic-Assisted Infundation for Rich-Egcg and Polyphenols of White Tea (Camellia Sinensis) Using Central Composite Design

Cited by 10 publications

References 36 publications

Chitosan Nanoparticle as a Delivery System for Polyphenols From Meniran Extract (Phyllanthus Niruri L.): Formulation, Optimization, and Immunomodulatory Activity

Chitosan Nanoparticle as a Delivery System for Polyphenols From Meniran Extract (Phyllanthus Niruri L.): Formulation, Optimization, and Immunomodulatory Activity

Application of Factorial Design for Optimization of PVC-HPMC Polymers in Matrix Film Ibuprofen Patch-Transdermal Drug Delivery System

Factorial Design as the Method in the Optimization of Timolol Maleate-Loaded Nanoparticle Prepared by Ionic Gelation Technique

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