scholarly journals Formulation and Evaluation of Herbal Shampoo: A Comparative Study By DoE/QbD Approach

2022 ◽  
Vol 24 (1) ◽  
pp. 273-287
Author(s):  
Nikita R.Nikam ◽  
◽  
Yogita M. Kolekar ◽  

Some ancient medications were used to make the hair care herbal shampoo powder. Organoglytics, powder characteristics, foam test, and physical evaluation were performed on Tulsi, Shikakai, Heena, Bahera, Amla, Neem, and Brahmi. Existing inspections will assist set standards and assessment criteria, which will undoubtedly aid to standardise the quality and purity of these herbal powder shampoos, due to the selection of drugs once the drugs are used together or jointly. We optimise the formula with the help of the Design of Experiments as per the Quality by Design approach. This paper illustrates broad theoretical as well as practical view of advanced screening design. In addition to the statistical concept‟s regression analysis, parato chart, residual diagnosis, main effect plot, interaction effect plot, design space and multiple response prediction.

2020 ◽  
Vol 32 (9) ◽  
pp. 2158-2164
Author(s):  
JALIL K. SHAIKH ◽  
MAZAHAR FAROOQUI ◽  
UMMUL KHAIR ASEMA SYED

Quality by design approach has been used to develop simple, rapid, sensitive gradient RP-HPLC stability indicating method for fosaprepitant dimeglumine and its related impurities. The chromatographic method has been developed by using symmetry shield RP-18 (250 mm × 4.6 mm; 5 μm) column maintained at column temperature of 20 ºC. The mobile phase-A consisted of water and acetonitrile (800:200, v/v), added 2 mL of orthophosphoric acid and 0.17 g of tetrabutylammonium hydrogen sulphate. The mobile phase-B consisted of water and acetonitrile (200:800, v/v), added 2 mL of orthophosphoric acid and 0.17 g of tetrabutylammonium hydrogen sulphate. Gradient program was executed as time (min)/% MP-A: 0/80, 3/80, 12/40, 20/20, 24/20, 25/80, and 30/80. The UV detection was carried out at wavelength 210 nm and 20 μL of sample was injected. Sample cooler was maintained at 5 ºC. Stability of fosaprepitant dimeglumine sample was investigated in different stress condition as acid, base, oxidation, thermal, humidity and photolytic. The method was developed in two phases, screening and optimization. During the screening phase, the most suitable stationary phase, organic modifier, and solvent were identified based on the behaviour of each stationary phase with fosaprepitant dimeglumine and its impurities using each buffer and solvent. Total 18 experiments were performed to find out the best experimental condition. The optimization was done for secondary influential parameters like column temperature, gradient program, using six experiments to examine multifactorial effects of system suitability parameters and generated design space representing the robust region. A verification experiment was performed within the working design space and the model was accurate. Drug showed unstable behaviour under acid, base, oxidation, thermal, and humidity conditions. Apripetant was found as major degradation impurity. The method was validated as per ICH guideline for specificity, limit of detection (LOD), limit of quantitation (LOQ), linearity, accuracy, precision, ruggedness and robustness. Correlation coefficient is about 0.999 for all impurities, recovery is between 90% to 103% at all level. LOD value of each impurity is less than 0.01% w/w. DOE statistically based experimental designs proved to be an important approach in optimizing selectivity-controlling parameters for the organic impurities determination in FD API. The method was found to be specific, linear, accurate, precise and robust. The peak purity test results confirmed that the fosaprepitant dimeglumine peak was homogenous in all stress samples and the mass balance was found to be more than 99%, thus proving the stability indicating power of the method. Present method is found to be suitable for routine analysis in quality control laboratory.


RSC Advances ◽  
2016 ◽  
Vol 6 (106) ◽  
pp. 104502-104512 ◽  
Author(s):  
V. Sainz ◽  
C. Peres ◽  
T. Ciman ◽  
C. Rodrigues ◽  
A. S. Viana ◽  
...  

This paper explores the development of a multivariate-based regression model for estimating the critical attributes to establish a design-space for poly(lactic-co-glycolic acid) nanoparticles prepared by a double emulsion–solvent evaporation method.


Nanomaterials ◽  
2022 ◽  
Vol 12 (2) ◽  
pp. 214
Author(s):  
Ahmad Ainurofiq ◽  
Yuniawan Hidayat ◽  
Eva Y. P. Lestari ◽  
Mayasri M. W. Kumalasari ◽  
Syaiful Choiri

Bioflavonoids from grape seeds feature powerful antioxidant and immunostimulant activities, but they present problems related to solubility and bioavailability. Nanocrystal (NC) incorporated into a mesoporous carrier is a promising strategy to address these issues. However, the preparation of this formulation involves the selection of factors affecting its critical quality attributes. Hence, this study aimed to develop an NC formulation incorporating resveratrol into a soluble mesoporous carrier based on rational screening design using a systematic and continuous development process, the quality-by-design paradigm. A mesoporous soluble carrier was prepared by spray-drying mannitol and ammonium carbonate. The NC was obtained by introducing the evaporated solvent containing a drug/polymer/surfactant and mesoporous carrier to the medium. A 26−2 fractional factorial design (FFD) approach was carried out in the screening process to understand the main effect factors. The type and concentration of polymer and surfactant, resveratrol loading, and solvent were determined on the NC characteristics. The results indicated that drug loading, particle size, and solubility were mainly affected by RSV loading, PEG concentration, and Kolliphor EL concentration. The polymer contributed dominantly to reducing the particle size and enhancing solubility in this screening design. The presence of surfactants in this system made it possible to prolong the supersaturation process. According to the 26−2 FFD, the factors selected to be further developed using a statistical technique according to the quality-by design-approach, Box Behnken Design, were Kolliphor EL, PEG400, and RSV loading.


2021 ◽  
Author(s):  
Edith Serrano-Blesa ◽  
Andrew Porter ◽  
Dennis William Lendrem ◽  
Costantino Pitzalis ◽  
Anne Barton ◽  
...  

Abstract Background: It is not enough to optimize proteomics assays. It is critical those assays are robust to operating conditions. Without robust assays, proteomic biomarkers are unlikely to translate readily into the clinic. This study outlines a structured approach to the identification of a robust operating window for proteomics assays and applies that method to Sequential Window Acquisition of all Theoretical Spectra Mass Spectroscopy (SWATH-MS). Methods: We used a sequential Quality by Design approach exploiting a fractional screening design to first identify critical SWATH-MS parameters, then using response surface methods to identify a robust operating window with good reproducibility, before validating those settings in a separate validation study. Results: The screening experiment identified two critical SWATH-MS parameters. We modelled the number of proteins and reproducibility as a function of those parameters identifying an operating window permitting robust maximization of the number of proteins quantified in human serum. In a separate validation study, these settings were shown to give good proteome-wide coverage and high quantification reproducibility. Conclusions: Using design of experiments permits identification of a robust operating window for SWATH-MS. The method gives a good understanding of proteomics assays and greater data-driven confidence in SWATH-MS performance.


2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Edith Serrano-Blesa ◽  
Andrew Porter ◽  
Dennis W. Lendrem ◽  
Costantino Pitzalis ◽  
Anne Barton ◽  
...  

Abstract Background It is not enough to optimize proteomics assays. It is critical those assays are robust to operating conditions. Without robust assays, proteomic biomarkers are unlikely to translate readily into the clinic. This study outlines a structured approach to the identification of a robust operating window for proteomics assays and applies that method to Sequential Window Acquisition of all Theoretical Spectra Mass Spectroscopy (SWATH-MS). Methods We used a sequential quality by design approach exploiting a fractional screening design to first identify critical SWATH-MS parameters, then using response surface methods to identify a robust operating window with good reproducibility, before validating those settings in a separate validation study. Results The screening experiment identified two critical SWATH-MS parameters. We modelled the number of proteins and reproducibility as a function of those parameters identifying an operating window permitting robust maximization of the number of proteins quantified in human serum. In a separate validation study, these settings were shown to give good proteome-wide coverage and high quantification reproducibility. Conclusions Using design of experiments permits identification of a robust operating window for SWATH-MS. The method gives a good understanding of proteomics assays and greater data-driven confidence in SWATH-MS performance.


CrystEngComm ◽  
2020 ◽  
Vol 22 (13) ◽  
pp. 2304-2314
Author(s):  
Pradip Thakor ◽  
Balvant Yadav ◽  
Sheela Modani ◽  
Nalini R. Shastri

Nano-cocrystals were optimized using the L-18 Hunter design. Selection of solvent and antisolvent was made using the Damkohler number.


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