Application of Central Composite Design for Statistical Optimization of Trigonella foenum-graecum Phytosome-Based Cream
Neelam Sharma, Sukhbir Singh*, Narish Laller, Sandeep Arora
Chitkara College of Pharmacy, Chitkara University, Punjab, India
*Corresponding Author E-mail: sukhbir.singh@chitkara.edu.in
ABSTRACT:
Rheumatoid arthritis is an autoimmune disease which could lead to severe joint damage and disability. Various strategies for treatment of rheumatoid arthritis produce serious adverse effects which require continuous monitoring. Consequently, herbal treatments are considered safer alternative to manage rheumatoid arthritis. In this investigation, Trigonella foenum-graecum ether extracts containing linolenic acid for anti-inflammatory and anti-arthritic activity was produced. Furthermore, Trigonella foenum-graecum ether extract phytosomes (TFG-PH) were developed by thin-film hydration technique using L-α-Phosphatidylcholine and cholesterol followed by optimization using central composite design to determine optimized composition and processing conditions for optimized TFG-PH. Quadratic equation was developed for % entrapment efficiency (Y1) and % yield (Y2) to evaluate the effect of independent variables on response parameters. Y1 = 69.75 + 9.21 X1 + 0.5191 X2 + 1.61 X3 + 1.19 X1X2 + 0.5488 X1X3- 1.06 X2X3 - 3.56 X12 -0.7654 X22 - 2.39 X32; Y2 = 61.52 + 8.99 X1 + 1.32 X2 + 1.56 X3 + 1.42 X1X2 + 0.47 X1X3 - 0.4025 X2X3 - 4.29 X12 -1.10X22 - 2.39 X32. It was found that, % entrapment efficiency and yield rapidly increased with increase in phosphatidylcholine concentration. The desirability function was explored using Design-Expert software (Trial Version 11.1.2.0, Stat-Ease Inc., MN) to achieve optimized TFG-PH on set paradigm of maximizing entrapment efficiency (% w/v) and yield (% w/v). The composition and processing conditions for optimized TFG-PH as explored using Design-Expert software (Trial Version 11.1.2.0, Stat-Ease Inc., MN) was phosphatidylcholine (X1 = 1.31 % w/v), cholesterol (X2 = 6.218 % w/v) and rotation speed (X3 = 94.5 rpm). Desirability function for optimized TFG-PH was found 0.918 which will produce entrapment efficiency and yield of 72.18 % w/v and 64.89 % w/v, respectively. Furthermore, optimized TFG-PH-based transparent, homogeneous, moisturizing, non-greasy, spreadable and stable cream was manufactured which could generate superior therapeutic effect owing to enhanced permeability and skin retention potential of phytosomes without producing any adverse effect.
KEYWORDS: Trigonella foenum-graecum, phytosomes, thin-film hydration, central composite design, rheumatoid arthritis.
1. INTRODUCTION:
Rheumatoid arthritis is an autoimmune disease which could lead to severe joint damage and disability. The goal of treatment for rheumatoid arthritis patients are to eliminate symptoms, slow disease progression, and optimize quality-of-life [1]. Therefore, various strategies for treatment of rheumatoid arthritis include non-steroidal anti-inflammatory drugs or anti-rheumatic drugs. Nevertheless, enduring risks of these drugs i.e. cardiovascular complications, hematologic toxicity, gastrointestinal ulcers, pulmonary toxicity, nephrotoxicity, cirrhosis, and diarrhoea requires continuous monitoring [2]. Consequently, herbal treatments are considered as safer alternative for management of rheumatoid arthritis [3,4]. Petroleum ether extract of Trigonella foenum-graecum (TFG) has been found to have anti-inflammatory and anti-arthritic activities due to affluent content of linolenic acid [5-7]. Therefore, TFG ether extract can be topically used for local inflammation, myalgia, arthritis and gout. In this investigation, Trigonella foenum-graecum ether extract phytosomes were developed by thin-film hydration technique using L-α-Phosphatidylcholine and cholesterol followed by optimization using central composite design to determine optimized composition and processing conditions [8]. Furthermore, optimized phytosomes were incorporated into semi-solid dosage form i.e. cream which could generate superior therapeutic effect owing to enhanced permeability and skin retention potential of phytosomes without producing any adverse effect [2,9-11].
2. MATERIALS AND METHOD:
Trigonella foenum-graecum powdered extract was procured from NJP Healthcare Pvt. Ltd. Gujarat. L-α-Phosphatidylcholine was procured from Himedia, Mumbai. Cholesterol, potassium dihydrogen phosphate and sodium hydroxide were procured from Loba Chemicals Private Limited, Mumbai, India. All other ingredients employed were of analytical grade.
2.1. Preparation of Trigonella foenum-graecum Ether Extract:
Accurately weighed 10g of Trigonella foenum-graecum powdered extract was drenched in 50ml petroleum ether with constant stirring for 3 hrs and subsequent filtration and evaporation of solvent. Trigonella foenum-graecum ether extract was analyzed for presence of linolenic acid using UV spectrophotometer at λmax of 233nm [5].
2.2. Experimental Design:
Three factors central composite design response surface methodology was employed using Design-Expert software (Trial Version 11.1.2.0, Stat-Ease Inc., MN). Independent and response variables for fabrication of Trigonella foenum-graecum ether extract phytosomes (TFG-PH) and 20 batches central composite design (CCD) layout have been depicted in Table 1 and 2, respectively [12-15].
Table 1. Independent and Response Variables for Production of Phytosomes of Trigonella Foenum-Graecum Ether Extract (TFG-PH)
Independent variables |
-1.68 (Axial) |
-1 (Low) |
0 (Medium) |
+1 (High) |
1.68 (Axial) |
X1 = Phosphatidylcholine (% w/v) |
0.16 |
0.5 |
1 |
1.5 |
1.84 |
X2 = Cholesterol (% w/v) |
0.64 |
2 |
4 |
6 |
7.36 |
X3 = Rotation Speed (rpm) |
23 |
40 |
65 |
90 |
107 |
Response variables |
|
Constraint |
Importance |
||
Y1 = % Entrapment efficiency (% w/w) |
|
Maximize |
+++++ |
|
|
Y2 = % Yield (% w/w) |
|
Maximize |
+++++ |
|
2.3. Manufacturing Methodology for Trigonella foenum-graecum Ether Extracts Phytosomes:
In present investigation, phytosomes were fabricated using thin-film hydration method [16] (Figure 1). L-α-Phosphatidylcholine, cholesterol and 10% w/v dried extract of Trigonella foenum-graecum (TFG extract) were dissolved in 25mL ethanol. The mixtures were evaporated in a rotary evaporator (Perfit, India) for 30 min at temperature of 40°C, to remove traces of solvent for film formation. The film was hydrated with 50 mL phosphate buffer (pH 7.4) for 1 h at room temperature. The vesicle dispersion was homogenized using probe sonicator (Ultrasonic probe sonicator, PCI analytics) at 230V, 50Hz AC current at 20 seconds interval succeeded by membrane filtration using 0.45µm filter [17].
Figure 1. Manufacturing Methodology for TFG-PH
Table 2. Central Composite Design Layout With Actual Values of Independent and Dependent Variables for Production of TFG-PH
Run Order |
Independent variables |
Dependent variables |
|||
X1 |
X2 |
X3 |
Y1 |
Y2 |
|
Phosphatidylcholine (% w/v) |
Cholesterol (% w/v) |
Rotation Speed (rpm) |
EE (% w/w) (mean ± SD) |
Yield (% w/w) (mean ± SD) |
|
1 |
0.5 |
2 |
40 |
52.3 ±1.89 |
42.33±2.23 |
2 |
1.5 |
2 |
40 |
67.06±2.13 |
58.23±1.89 |
3 |
0.5 |
6 |
40 |
51.03±2.53 |
42.27±2.81 |
4 |
1.5 |
6 |
40 |
72.32±1.69 |
63.21±1.78 |
5 |
0.5 |
2 |
90 |
56.22±2.34 |
46.19±2.02 |
6 |
1.5 |
2 |
90 |
74.95±1.55 |
63.34±1.34 |
7 |
0.5 |
6 |
90 |
52.5±2.62 |
43.89±2.27 |
8 |
1.5 |
6 |
90 |
74.19±1.55 |
67.34±1.34 |
9 |
0.16 |
4 |
65 |
45.71±2.25 |
36.47±2.66 |
10 |
1.84 |
4 |
65 |
75.04±1.69 |
63.43±1.58 |
11 |
1 |
0.64 |
65 |
65.99±2.44 |
55.57±2.01 |
12 |
1 |
7.36 |
65 |
70.51±1.99 |
62.34±1.66 |
13 |
1 |
4 |
23 |
61.62±2.23 |
53.39±2.27 |
14 |
1 |
4 |
107 |
65.69±1.77 |
57.27±1.77 |
15 |
1 |
4 |
65 |
68.81±2.44 |
60.26±2.35 |
16 |
1 |
4 |
65 |
68.8±1.80 |
59.42±1.68 |
17 |
1 |
4 |
65 |
67.7±2.34 |
60.29±2.09 |
18 |
1 |
4 |
65 |
70.95±1.80 |
63.19±1.89 |
19 |
1 |
4 |
65 |
70.76±2.12 |
62.46±2.14 |
20 |
1 |
4 |
65 |
71.26±1.79 |
63.32±2.33 |
2.4. Evaluation of Response Variables (Y1-Y2) of TFG-PH:
Ultracentrifugation method was employed to conclude % entrapment efficiency of TFG-PH. In brief; TFG-PHs was centrifuged for 90 minutes at15000 rpm via cooling centrifuge apparatus followed by separation of supernatant and analysis by UV spectrophotometer at 233 nm. % entrapment efficiency was calculated using following equation:
DT- DS
% Entrapment efficiency, % w/w =---------------- X 100 -------Eq. (1)
DT
Where, DT and DS are theoretical and detected amount of linolenic acid, respectively. Percent yield (Y2) was calculated as weight percentage of phytosomes recovered from each experimental, with respect to initial total weight of phosphatidylcholine, cholesterol and TFG extract using following equation [18-19].
Total weight of phytosomes
% Yield, w/w= ------------------------------------------- X 100 -------Eq. (2)
Initial weight of TFC extract and lipids
2.5. Statistical and Response Surface Analysis by Design-Expert Software:
Quadratic equations were generated by regressions analysis and three-dimensional response surface plots (3-D) and corresponding two-dimensional contour plots (2-D) were created via graphs tool of Design-Expert software to examine outcome of independent variables on response parameters [20-22].
2.6. Search for Optimized TFG-PH by Numerical Optimization Method:
Optimal values of composition and process variables for production of TFG-PH were obtained employing Design-expert® 11.1.2.0 software [20]. To obtain graphical outlook of region analogous to maximum overall desirability function, three-dimensional response surface graph and related contour plot were created for desirability coefficient.
2.7. Manufacturing of Topical Phytosomes-Based Cream of Optimized TFG-PH:
Briefly, melt the beeswax (5% w/v) and hard paraffin (5% w/v) along with liquid paraffin (30% w/v) at 70°C with gentle mixing. Dissolve the sodium borate (0.1% w/v) in distilled water and heat up solution to 70°C. Furthermore, dissolve glycerin (9% w/v) as humectants and propyl paraben (0.2% w/v) as preservative to heated aqueous phase. Add mangosteen and erythrosine to aqueous phase as fragrance and coloring agent, respectively. Subsequently, both the phases were maintained at room temperature (~40°C) and optimized TFG-PH (10 % w/v) was added to oil phase with gentle stirring. Afterwards, aqueous phase was slowly added to oil phase with moderate agitation preferably mechanically until the cream has thickened to set [23].
2.8. Physical Evaluation of Topical Phytosomes-Based Cream of Optimized TFG-PH:
2.8.1. Organoleptic Characteristics:
Topical phytosomes-based cream of optimized TFG-PH was tested by visual observation for physical appearance, colour and phase separation. Homogeneity and texture were evaluated on the basis of consistency of cream and presence of coarse particles through pressing little amount of cream between index finger and thumb [24,25].
2.8.2. Spreadability and pH Value:
Spreadability of cream was evaluated from spreading diameter of 1 g of cream between two horizontal glass plates of 10 cm × 20 cm dimensions. The standard weight imposed upon upper plate was 25 g for 1 minute [26]. The pH was measured by pH meter (361, Systronics, India) calibrated through standard buffer solutions (pH 4, 7, and 10) [24,27].
2.8.3. Viscosity Measurement:
Brookfield rotational digital viscometer model DV-II with LV-spindle # 64 at 6 rpm was used to determine viscosity of cream. Approximately 50 g cream was used for measurement which was maintained at temperature of 25°C during the measurements. All measurements were taken in triplicate and represented as mean ± SD [24,27].
2.8.4. Thermodynamic Stability Study:
Thermodynamic stability study was performed by heating-cooling cycle and centrifugation test. Six cycles between refrigerator temperature (4°C) and 45°C with storage at each temperature of 6 hrs were conducted, and examined for physical stability. For centrifugation test, formulations were centrifuged at 3,500 rpm for 30 min, and observed for any phase separation [24,27,28].
2.9. STATISTICAL ANALYSIS:
Statistical analysis of polynomial equations was performed by application of analysis of variance (ANOVA) tool in Design-Expert software trial version 11.1.2.0. Statistical difference (p < 0.05) was considered significant.
3. RESULTS AND DISCUSSION:
3.1. Statistical and Response Surface Analysis of Response Parameters (Y1-Y2):
Second order polynomial model generated for % entrapment efficiency (Y1) and % yield (Y2) by Design-Expert software (Trial Version 11.1.2.0, Stat-Ease Inc., MN) through multiple regression analysis has been depicted below:
% Entrapment efficiency = 69.75 + 9.21 X1 + 0.5191 X2 + 1.61 X3 + 1.19 X1X2 + 0.5488 X1X3- 1.06 X2X3 - 3.56 X12 -0.7654 X22 - 2.39 X32 Eq. (3)
% Yield = 61.52 + 8.99 X1 + 1.32 X2 + 1.56 X3 + 1.42 X1X2 + 0.47 X1X3 - 0.4025 X2X3 - 4.29 X12 -1.10 X22 - 2.39 X32 Eq. (4)
Negative and positive sign before coefficients of factors X1, X2 and X3 indicated antagonistic and synergistic effects of factors on % EE and % yield of TFG-PH. The p-value for main effect (X1, X2 and X3) and quadratic effect (X12, X22 and X32) was less than 0.05 (p < 0.05) which indicated significant main and quadratic effect of factors on response variables [14,18,19]. % EE and % yield rapidly increased with increase in Phosphatidylcholine (X1) from lowest level (–1.68) to highest level (+1.68) as indicated through response surface graphs (Figure 2 and 3) [29-32].
3.2. Optimized Formulation of TFG-PH as Per Design-expert® 11.1.2.0 software
The desirability function was investigated by Design-Expert software (Trial Version 11.1.2.0, Stat-Ease Inc., MN) to reach optimized TFG-PH on set premise of maximizing entrapment efficiency (% w/v) and yield (% w/v). The composition and processing conditions for optimized TFG-PH were Phosphatidylcholine (X1 = 1.31 % w/v), cholesterol (X2 = 6.218 % w/v) and rotation speed (X3 = 94.5 rpm). Desirability function for optimized TFG-PH was found 0.918 which will produce entrapment efficiency and yield of 72.18 % w/v and 64.89 % w/v, respectively (Figure 4).
Figure 2. Contour plot (2D) and Corresponding Response Surface Plot (3D) Showing the Effect of Independent Variables on % EE (Y1) of TFG-PH.
Figure 3. Contour plot (2D) and Corresponding Response Surface Plot (3D) Showing the Effect of Independent Variables on % yield (Y2) of TFG-PH.
Figure 4. Contour plot (2D) and Corresponding Response Surface Plot (3D) Showing Desirability Value for Optimized TFG-PH.
3.3. Physical Characteristics of Topical Phytosomes-Based Cream of Optimized TFG-PH:
Topical phytosomes-based cream of optimized TFG-PH was pink coloured, transparent, homogeneous with smooth texture and without any phase separation. Immediate skin feel of cream was moisturizing, non-greasy, no grittiness having spreadability (spreading diameter after 1 minute) 48 mm, pH 6.41 and viscosity 32000 cps which are ideal values for any topical cream. No phase separation was visible after thermodynamic stability study via heating-cooling cycle and centrifugation test which illustrated stability of topical phytosomes-based cream [24,27].
4. CONCLUSION:
Various strategies for treatment of rheumatoid arthritis produce enduring risks which requires continuous monitoring. Therefore, herbal supplements are better and safer alternative to manage rheumatoid arthritis. Therefore, Trigonella foenum-graecum ether extracts phytosomes were fabricated by thin-film hydration technique using L-α-Phosphatidylcholine and cholesterol. Central composite design was employed to explore the optimized TFG-PH having phosphatidylcholine (X1 = 1.31 % w/v), cholesterol (X2 = 6.218 % w/v) and rotation speed (X3 = 94.5rpm). Desirability function for optimized TFG-PH was found 0.918 which will produce % EE and % yield of 72.18 % w/v and 64.89 % w/v, respectively. Optimized TFG-PH was further incorporated into transparent, homogeneous, moisturizing, non-greasy, spreadable and stable phytosomes-based cream which could generate superior therapeutic effect owing to enhanced permeability and skin retention potential of phytosomes without producing any adverse effect.
5. CONFLICT OF INTEREST:
The authors declare that there is no conflict of interest.
6. ACKNOWLEDGMENTS:
The authors express gratitude to Chitkara College of Pharmacy, Chitkara University, Punjab, India for infrastructural support to carry out this work. The authors thanks to Stat-Ease, Inc. for providing access to Design-Expert software (trial version 11.1.2.0, Stat-Ease Inc., MN).
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Received on 22.09.2019 Modified on 07.11.2019
Accepted on 16.12.2019 © RJPT All right reserved
Research J. Pharm. and Tech 2020; 13(4):1627-1632.
DOI: 10.5958/0974-360X.2020.00295.4