A QUALITY BY DESIGN APPROACH: DEVELOPMENT AND EVALUATION OF HERBAL HYDROGEL
HTML Full TextA QUALITY BY DESIGN APPROACH: DEVELOPMENT AND EVALUATION OF HERBAL HYDROGEL
Gopi Patel *, Bhavna Patel and Rajesh Parmar
Department of Pharmaceutical Chemistry, Anand Pharmacy College, Opp., Town Hall, Gujarat, India.
ABSTRACT: The current study was undertaken to formulate and evaluate herbal hydrogel containing ethanolic seed extract of plant Coix lacryma jobi L. Hydrogel was prepared by ethanolic seed extract, carbapol 934p, aloevera gel extract, triethanolamine and methylparaben. The effects of critical parameters (concentration of Carbapol 934p and Aloe vera gel extract) were investigated by executing design of the experiment using 32 factorial designs through Design Expert 12 version software. All the formulations were developed and evaluated for visual inspection, pH, viscosity, spreadability, drug release and drug content. Optimized formulation was subjected to in-vitro antifungal activity against Candida albicans. It was observed that formulation variables X1: Carbapol 934p and X2: Aloeveragel extract significantly affected the response Y1: Viscosity (cp) and Y2: Drug release (% Drug release). Stability studies conducted under accelerated conditions and at room temperature were shown acceptable results. It was concluded that hydrogel containing coix ethanolic seed extract showed good consistency, spreadability, homogeneity, and stability. This study confirmed that quality by design is an effective approach for understanding the quality parameters for optimizing Hydrogel formulation.
Keywords: CADD (Cumulative Amount of Diffused Drug), QbD (Quality by Design), QTPP (Quality Target Product Profile), Critical Quality Attributes (CQA)
INTRODUCTION: Herbal medicinal system is old and has been practiced since mankind 1. According to the World Health Organization (WHO), about 80 % of the world's population uses herbs and other traditional medicines. They are known for their safety, efficacy, cultural acceptability and lesser side effects 2. Coix lacryma jobi L. belongs to Poaceae or Gramineae family. Coix plant is a grass crop that is used in traditional Chinese medicine.
Adlay seeds Fig. 1 are the major medicinal part that contains a range of phytoconstituents such as Polysaccharides, Coixol, Coixenolide, Protein, Lipid, Phytosterol and Polyphenols. Several studies have demonstrated that coix seeds have antimicrobial, anti-diabetic, anti-inflammatory, anti-obesity, anti-cancer activity, and other beneficial effects on humans 3-5.
FIG. 1: COIX SEED
Topical drug delivery system is widely used for skin diseases like bacterial, fungal, eczema, etc. Topical drug application has the advantage of directly delivering the drug to the site of action. The advantages of topical formulations are avoidance of first-pass metabolism, avoiding inter- intra-patient variation, convenience, and easy application, etc 6. Hydrogels are three-dimensional, cross-linked networks of water-soluble polymers. It is a semi-occlusive film over the skin and releases the drug in a controlled manner. Hydrogels are flexible like natural tissue due to their significant water content and good transport properties. Hydrogel are biocompatible, easy to modify, and time release growth factor 7, 8.
There was no report on the formulation containing extract of coix seed. Hence, the present study will design, formulate and evaluate hydrogel containing ethanolic extract of adlay seed.
To document product development (ICH guideline (Q9)) report by “Quality by Design” approach for Hydrogel formulation. The product development report aims to present the quality by design aspect for gel-based formulations. The elements of quality by design are examined, and a consistent nomenclature is proposed with the help of Quality Target Product Profile (QTPP), Critical Quality Attribute (CQA), Critical Process Parameter, Critical Material Attribute (CMA), risk assessment, and control strategy 9, 10.
Quality by design is a structured, organized method for determining the relationship between factors affecting a process and the output of that process based on quality risk management, ICHQ8 (R2) guideline.
MATERIALS AND METHODS: Ethanolic extract of Coix seed was purchased from Shannxi Green Bio-Engineering Co. Ltd., China. Aloevera gel extract was obtained from Arogya Jyoti Pharmacy, New V.V. Nagar as a gift sample. Carbapol 934p (gel base), Triethanolamine (pH adjust), and Methylparaben (preservative) were used in the preparation of hydrogel.
Quality Target Product Profile (QTPP): The Quality Target Product Profile as described in International Council for Harmonization (ICH) Q8 is an essential element of a QbD approach. The QTPP includes all product attributes that are needed to ensure equivalent safety and efficacy. QTPP for herbal hydrogel has been developed by considering the elements of the important drug product quality attributes. The initial QTPP and CQAs for formulation are shown in Table 1.
TABLE 1: QTPP FOR HYDROGEL
Parameters | QTPP element | Justification | Critical Quality Attributes | ||
Low | Medium | High | |||
Dosage form | Hydrogel | Topical application | √ | ||
Dosage design | Controlled release | Better for topic application | √ | ||
Strength | 5 % | Effective dose | √ | ||
Assay | 95 % - 105 % | Affect on safety and efficacy | √ | ||
pH | 6 – 7 | Compatible with skin | √ | ||
Viscosity | Medium | Impact on drug release | √ | ||
Spreadability | Good | Uniformity on skin | √ | ||
Drug release | Permeation | Impact on therapeutic point of view | √ | ||
Packaging materials | Amber color jar | Protect for photolytic degradation | √ |
Critical Quality Attributes (CQA): Critical quality attribute (CQA) is “a physical, chemical, biological, or microbiological property or characteristic that should be within an appropriate limit, range, or distribution to ensure the desired product quality.
The initial CQA was defined from QTPP to identify the satisfactory quality of the product. The potential CQA of excipients required for the development of herbal hydrogel 11.
Risk Assessment: A risk assessment was conducted to identify all the potential high risk factors for further study. Risk Priority Numbers (RPN) was mapped into three categories (high, medium and low) in the risk assessment process. The initial risk assessment for critical input material and formulation components and their impact on the product quality was determined 12.
Design of Experiment (DoE): DoE is a structured, organized method for determining the relationship between factors affecting a process and the output of that process. Design expert version 12 software (Stat-Ease Inc., Minneapolis, MN, USA) was used for formulation design. A 32-factorial design was employed where the amount of two factors varied at three levels (-1, 0 and +1) as hypothesized by the design. In this design, two factors, Carbapol 934p and Aloevera gel extractin each in three levels were evaluated and experimental trials were performed in all 9 possible combinations. Carbapol 934p and Aloevera gel extract were selected for independent variables, and viscosity and drug release were selected for dependent variables. The formulation run was executed by a design expert and are shown in Table 2.
TABLE 2: FORMULATION TRIAL BATHCES OF HERBAL HYDROGEL
Ingredients | FB1 | FB2 | FB3 | FB4 | FB5 | FB6 | FB7 | FB8 | FB9 |
Seed extract | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
Carbapol 934p | 1.5 | 1 | 2 | 2 | 2 | 1 | 1 | 1.5 | 1.5 |
Aloevera gel extract | 2 | 1.5 | 1.5 | 2 | 1 | 1 | 2 | 1 | 1.5 |
Triethanolamine | q.s. | q.s. | q.s. | q.s. | q.s. | q.s. | q.s. | q.s. | q.s. |
Methyl paraben | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 | 0.02 |
Distilled water (ml) | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Concentration of each ingredient is expressed in % w/v.
Drug Excipient Compatibility Studies: A Fourier-transform infrared (FT-IR) was used to identify if any interaction existed between the seed extract and the excipients. The samples were analyzed via potassium bromide pellet method in the region 4000-400 cm-1 13.
Formulation of Hydrogel: Weighed accurately amount of Carbapol 934p and dissolved in water using a magnetic stirrer. Keep the mixture for overnight. Coix seed extract, Aloevera gel extract and Methylparaben were added to the gel base. Triethanolamine was added to adjust the pH of hydrogel between 6.0 to 7.0 with constant stirring.
Evaluation of Hydrogel Formulation: The formulated gel was evaluated for physical examination. The characterization and response in the design of the experiments conducted on the gel preparations include pH, spreadability, homogeneity, viscosity, drug release, and drug content 14-16.
Spreadability: The gel was weighed as high as 0.5 g and then placed on glass plate. Then, put another other glass plates above the gel mass. The gel was spread over the slides. Then gel was spread uniformly over the glass plate.
Homogeneity: After the gels have been set in a container, all developed gels were tested for homogeneity by visual inspection. They were tested for their appearance and the presence of any aggregates.
Viscosity: A maximum of 100 g of gel was put into a container and then placed on a viscometer with spindle no. 64 installed. Then, the spindle was lowered onto the gel with 10 rpm speed.
Drug Content: 1 g of hydrogel was accurately weighed and dissolved in 80 ml Phosphate buffer (pH 6.8). Sonicated for 10 min. and made up volume up to 100 ml with Phosphate buffer. From this 1 ml was pipetted out and diluted to 10 ml same solvent. The absorbance was measured by UV spectroscopy at 286 nm against blank.
In- vitro Diffusion Study: The diffusion studies of the prepared gels were carried out in Franz diffusion cell to study gels' release through a cellophane membrane. Place 1gm hydrogel was taken on cellophane membrane and the diffusion studies carried out at 37±1°C using Phosphate buffer (pH 6.8) as dissolution medium.
Threeml of each sample was withdrawn periodically up to 9 h. each sample was replaced with an equal volume of dissolution medium. The samples were analyzed for the drug content by using Phosphate buffer as blank. The absorbance was analyzed by UV spectroscopy at 286 nm.
Statistical Optimization: The model's fit quality was evaluated using the analysis of variance (ANOVA) technique. Based on a comparison of several statistical parameters, the best fit model was selected; the statistical parameters included the R2 -coefficient of determination, Adjusted R2, Predicted R2, p-value provided by the software. The relationship between the dependent and independent variables was demonstrated using response surface plots, i.e., Contour and 3D surface plots; these plots were used to study the effect of various factors on the response. Optimized formulations were run for triplicate and evaluated for pH, viscosity, drug content and dug release.
Anti-bacterial Activity: Optimized formulation was subjected to perform in-vitro anti-fungal activity. Facility provided by Vasu Research Center, Baroda.
Stability Study: Stability studies were carried out for statistically optimized formulation according to the International Council for Harmonization (ICH) Q1A (R2) guidelines. The sample was stored in amber color bottle, which was maintained at room temperature and accelerated conditions 40°±2°/ RH 75±5 % for 3 months. The hydrogel formulation was withdrawn after 1, 2 and 3 months and evaluated for physical appearance, pH, viscosity and drug content 17.
RESULTS AND DISCUSSION: FTIR study showed no major change in the position of band obtained in the extract alone and in a physical mixture of formulation, indicating no distinct interaction. Based on results, all mentioned excipients were found to be compatible with seed extract. QTPP serves as a summary of a drug product's quality attributes that must be achieved to ensure its safety and efficacy. The QTPP for Herbal formulation consist of information regarding dosage form, dosage designand route of administration, dosage strength, and drug product quality attributes, and based on prior scientific knowledge and data an Initial Risk Assessment of drug substance (Herbal Extracts) and formulation variables (Excipients) was carried out to meet the quality target product profile (QTPP).
Concentration of Carbapol 934p (%) (X1) and concentration of Aloevera gel extract (%) (X2) were considered as the major formulation parameters for design of experimentation. A 32 full factorial design was employed for development and optimization of hydrogel. The experimental runs, with independent variables and measured responses for the developed hydrogel formulation.
The all prepared formulations were inspected visually for their color, homogeneity, and grittiness. It observed that all the formulations showed good homogeneity with no grittiness and brown in color. The formulation batches FB1-FB9 were subjected for physical characterization, pH, spreadability, viscosity, drug release and drug content. The evaluation parameters of all batches were shown in Table 3.
The pH of the hydrogel was found to be within 6.55 – 6.99. The viscosity of hydrogel prepared was in the range of 28092 – 34920 cp. The drug release of the hydrogel was found to be 75.65– 84.85 % and Coixol content was within the range of 97.12 – 98.86 %.
TABLE 3: VARIABLES AND RESPONSE AS PER DESIGN EXPERT
Batch | Spreadability | pH | Viscosity (cp) | % Drug release/ 9 h | Drug content (%) |
FB1 | Good | 6.72 ± 0.0208 | 32645 ± 8.0208 | 83.58 ± 0.1350 | 98.86 ± 0.1350 |
FB2 | Good | 6.99 ± 0.0351 | 28923 ± 7.0237 | 88.12 ± 0.0450 | 97.16± 0.0450 |
FB3 | Average | 6.83 ± 0.0251 | 32249 ± 7.5075 | 78.67 ± 0.0650 | 97.12± 0.0650 |
FB4 | Average | 6.78 ± 0.0251 | 34920 ± 5.5075 | 75.65 ± 0.3511 | 97.27± 0.0351 |
FB5 | Average | 6.95 ± 0.0577 | 33712 ± 6.5640 | 76.98 ± 0.3511 | 98.26± 0.0351 |
FB6 | Good | 6.77 ± 0.0208 | 28092 ± 6.5064 | 90.53 ± 0.0300 | 97.78 ± 0.0300 |
FB7 | Good | 6.89 ± 0.0251 | 32590 ± 2.8867 | 84.19 ± 0.0650 | 98.51± 0.0650 |
FB8 | Excellent | 6.96 ± 0.0152 | 30021 ± 9.5043 | 88.85 ± 0.0550 | 98.82± 0.0550 |
FB9 | Excellent | 6.90± 0.0208 | 30125 ± 4.5092 | 87.02 ± 0.0750 | 98.15± 0.0750 |
Statistical optimization of Herbal hydrogel was performed by comparison of several statistical parameters provided by Design-Expert® Software, Version 12. The values of the coefficients X1, X2, their interaction, and quadratic terms are related to the effect of these variables on the response. To demonstrate the influence of each factor on responses of viscosity graphically, the Contour plots and 3D surface plots were generated and shown in Fig. 2 to 3, respectively.
FIG. 2: COUNTER PLOT FOR RESPONSE Y1
FIG. 3: 3D SURFACE RESPONSE FOR Y1
The statistical data of response Y1 and response Y2 are shown in Table 4.
TABLE 4: ANOVA RESULT FOR RESPONSES Y1 AND Y2
ANOVA | Response Y1 (Viscosity) | Response Y2 (Drug release) |
Significant Model | Quadratic | Quadratic |
Polynomial equation | 87.3544 + -5.25667 * A + -2.15667 * B + 1.2525 * AB + -4.12667 * A^2 + -1.30667 * B^2 | 29887.4 + 1879.33 * A + 1388.33 * B + -822.5 * AB + 817.333 * A^2 + 1564.33 * B^2 |
p - value | 0.0019 (less than 0.05) | 0.0019 (less than 0.05) |
R2 | 0.9932 | 0.9932 |
Adjusted R2 | 0.9819 | 0.9819 |
Predicted R2 | 0.9316 | 0.9316 |
From the counter-plot presentation, formulation no. 9 – was within this appropriate area, having a viscosity 30125 cp. Based on 3D surface plot concentration of Aloevera extract was increased the pH of hydrogel also increased, so to maintain pH requirement of Triethanolamine was more and increased viscosity. To increase the concentration of Aloevera gel extract in formulation pH decrease and to maintain pH need to add triethanolamine. So, it increased the viscosity of hydrogel. For responses to drug release, the Contour plots and 3D surface plots were generated and shown in Fig. 4 and 5, respectively. Formulation 9 was given adequate drug release from the graphical presentation, showing an effective counter-plot area. The normal probability plot for both responses, the residuals is normally distributed.
FIG. 4: COUNTER PLOT FOR RESPONSE Y2
FIG. 5: 3D SURFACE RESPONSE FOR Y2
From the Design Space, formulation batch FB9 falls under the region of successful operating ranges. Hence formulation FB9 (Carbapol 934p – 1.5 % and Aloeveragel extract -1.5 %) fulfills the criteria of QTPP and CQA for hydrogel formulation. Therefore FB9 formulation was selected as optimized formulation. The optimized formulationas evaluated for physical appearance, spreadability, viscosity, drug release and drug content (n=3).
In-vitro Antimicrobial Study: In-vitro antifungal activity performed by cylindrical plate method. Candida albicans (ATCC 10231) was used for antifungal activity. Sabroud dextrose agar with Chloramphenicol media was used to prepared agar plate. Four Derm Cream was used as a reference sample. The formulation showed antifungal activity having zone inhibition 20mm.
The results of zone of inhibition were shown in Table 5. The image of inhibition for sample and formulation shown in Fig. 6 & 7 respectively.
TABLE 5: ZONE OF INHIBITION OF FORMULATION
Batch | Reference sample | Control | Formulation containing Aloe vera gel extract only | Formulation | |
Zone of inhibition | 25 mm | 10 mm | 12 mm | 20 mm | |
FIG. 6: ZONE OF INHIBITION OF REFERENCE SAMPLE
FIG. 7: ZONE OF INHIBITION OF HYDROGEL
The results obtained demonstrated that Hydrogel formulation has good anti-fungal activity. The present research work has demonstrated the successful implementation of QbD approach for the development of hydrogel formulation. The desired QTPP and CQA were predefined in order to obtain the final product with desired quality. Further it can also be concluded that formulation prepared within the design space will be able to accomplish CQAs in the drug product which further results into the product with desired QTPP.
Stability Studies: The stability of the hydrogel formulation was studied as per ICH Q2 (A) guideline. It was observed that there were no serious changes in the physical characterization of the formulation. These results indicated that the developed hydrogel formulation was pharmaceutically appear to be stable and retained their properties at various environmental conditions over a period of 3 months.
CONCLUSION: In the present study, efforts were made to develop and evaluate herbal hydrogel formulation containing seed extract of Coix lacryma jobi L. for anti-fungal activity. The collected plant was authenticated and it was found to be free from adulterants and substitutes. Ethanolic seed extract was purchased in ratio 10:1 and based on preliminary analysis, it contained alkaloid, phytosterol and phenolic compound. In vitro antimicrobial activity of seed extract revealed good results in fungal strains (C. albians). Extracts shows significant zone of inhibition.
The FT-IR study of extract and selected excipients for hydrogel formulation revealed they were physically compatible. Formulation of topical hydrogel was optimized with the help of 32 full factorial design using 2 variables and three levels. Total 9 batches were formulated as per design and all formulations were evaluated for various parameters like pH, homogeneity, spreadability, viscosity, drug content and percentage drug release. Formulation was optimized and statistical analysis was performed with the help of Design Expert® 12.
The formulation FB9 was optimized. The optimized formulation was subjected to in-vitro anti-fungal activity. The formulation was shown good anti-fungal activity against Candida albicans strain. The formulation was shown good stability in accelerated and room temperature up to 3 months.
ACKNOWLEDGMENTS: The authors are thankful to the Sardar Patel College of Pharmacy Bakrol, Indukaka Ipcowala College of Pharmacy, New V. V. Nagar, Anand Pharmacy College Anand, Vasu Research Center, Baroda, Arogya Jyoti Pharma, New V. V. Nagar, Sardar Patel College of Pharmacy, Bakroland authors also thank Dr. Bhavna Patel for their continued support and encouragement.
CONFLICTS OF INTEREST: Nil
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How to cite this article:
Patel G, Patel B and Parmar R: A quality by design approach: development and evaluation of herbal hydrogel. Int J Pharm Sci & Res 2023; 14(10): 4810-16. doi: 10.13040/IJPSR.0975-8232.14(10).4810-16.
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Article Information
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4810-4816
930 KB
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IJPSR
Gopi Patel *, Bhavna Patel and Rajesh Parmar
Department of Pharmaceutical Chemistry, Anand Pharmacy College, Opp., Town Hall, Gujarat, India.
gopiptl@gmail.com
04 February 2023
26 April 2023
31 May 2023
10.13040/IJPSR.0975-8232.14(10).4810-16
01 October 2023