FORMULATION, OPTIMIZATION AND EVALUATION OF TRANSDERMAL PATCHES CONTAINING BENIDIPINE
HTML Full TextFORMULATION, OPTIMIZATION AND EVALUATION OF TRANSDERMAL PATCHES CONTAINING BENIDIPINE
Neha Katiyar *, Pankaj Mishra and Pushpendra Kannojia
BIU College of Pharmacy, Bareilly International University, Bareilly, Uttar Pradesh, India.
ABSTRACT: The study focused on the formulation, optimization, and evaluation of benidipine transdermal patches to overcome the drug’s low oral bioavailability and short half-life. FTIR analysis confirmed compatibility between benidipine and selected excipients (HPMC K-100, CMC, PEG-400, Tween-20), showing no significant peak shifts. Patches (F1–F12) were prepared by solvent casting with varying polymer concentrations and evaluated for physicochemical properties, all of which were within acceptable limits, indicating good uniformity and mechanical strength. In-vitro release studies showed an initial burst followed by sustained release for 48 hours, with F5 and F7 exhibiting superior drug release. Central Composite Design identified HPMC K-100 and CMC levels as key factors influencing drug release, moisture content, and permeation, with higher polymer concentrations decreasing release due to increased matrix density. Optimization selected F4 as the best formulation, offering controlled release, high drug content, and improved permeation, suggesting strong potential for sustained antihypertensive therapy.
Keywords: Transdermal drug delivery systems, Transdermal Patches, Benidipine, Calcium channel blocker
INTRODUCTION: Transdermal drug delivery systems (TDDS) have emerged as an attractive alternative to conventional oral and parenteral routes due to their ability to provide controlled and sustained drug release, improve bioavailability, enhance patient compliance, and minimize first-pass hepatic metabolism 1, 2. By delivering drugs directly through the skin into systemic circulation, transdermal patches overcome limitations such as gastrointestinal degradation, poor absorption, and frequent dosing requirements 3.
Advances in polymer technology and permeation enhancement strategies have significantly expanded the scope of TDDS for various therapeutic agents, particularly for drugs used in chronic conditions where long-term, steady plasma concentrations are desirable 4.
Benidipine, a dihydropyridine calcium channel blocker, is widely prescribed for hypertension and angina pectoris 5. Despite its therapeutic efficacy, Benidipine suffers from limitations such as short biological half-life, low oral bioavailability due to extensive first-pass metabolism, and the need for frequent dosing 6. These pharmacokinetic drawbacks make it an ideal candidate for transdermal delivery, which can maintain steady-state drug levels, reduce dosing frequency, and improve therapeutic outcomes 7. In addition, the rationale for selecting a 48-hour transdermal patch has been clarified. The revised text explains that the prolonged patch duration was chosen to maintain therapeutically relevant plasma concentrations over an extended period, minimize peak–trough fluctuations, and improve patient adherence compared with once- or twice-daily oral dosing. However, formulating an effective transdermal system requires careful optimization of polymers, plasticizers, and permeation enhancers to achieve desirable physicochemical properties, mechanical strength, and controlled drug release 8. Therefore, the present study aims to formulate, optimize, and evaluate transdermal patches containing Benidipine using suitable polymers and excipients to achieve sustained drug release and improved therapeutic performance. Various formulations were prepared, characterized for physicochemical parameters, and subjected to in-vitro drug release studies to identify the optimized patch capable of providing effective transdermal delivery of Benidipine.
MATERIALS AND METHODS:
Materials: Benidipine was received as a gift sample from Nikasn Pharmaceutical, Gujarat, India. HPMC K-100, Polyethylene Glycol 400 (PEG 400) and Tween 20 were procured from Modern Industries. Methanol and ethanol were purchased from Fine Chem Laboratories.
Drug Excipients Compatibility Studies: To check for any changes in the drug's chemical composition following its combination with the excipients/polymers. Powder mixed with potassium bromide was applied and pressed into the shape of a disc. The disc was examined using Shimadzu FTIR spectroscopy (4000-400cm-1) 9.
Preparation of Standard Calibration Curve of Benidipine: Benidipine standard stock solution was prepared by dissolving 10mg of the drug with 10ml of methanol to give a 1000µg/ml concentration. To develop stock II, which has a concentration of 100µg/ml, take 1ml of this stock solution and diluted it with methanol (solvent) up to 10ml. A 10ml volumetric flask was filled with 1ml of the stock solution (100µg/ml) and the line was then filled with methanol to a volume equal to 10µg/ml. The sample was then scanned with a UV-Visible spectrophotometer in the 200-400nm wavelength range using methanol as a blank. Further dilutions of 2µg/ml, 4µg/ml, 6µg/ml, 8µg/ml, 10µg/ml, 12µg/ml, and 14µg/ml were made from the stock solution (100µg/ml). The absorbance of the dilutions was measured at absorption maxima. The calibration curve was then constructed.
Characterization Parameters of Transdermal Patches: The evaluation of patches involved several quality assessment parameters. Thickness was measured at three distinct points on each patch using a micrometer, and mean values were recorded. Uniformity of weight of transdermal patches was determined by selecting three to five patches at random. The protective liner, if present, was carefully removed and each patch was weighed individually using an analytical balance. The average weight of the patches was calculated and the percentage deviation of individual patch weights from the average weight was determined to evaluate uniformity 10.
Drug content of transdermal patches was evaluated by randomly selecting three patches and cutting them into small pieces. The pieces were transferred into a volumetric flask containing a suitable solvent such as methanol or phosphate buffer (pH 7.4). The mixture was sonicated or shaken continuously for 24 hours to ensure complete extraction of the drug from the polymeric matrix. The resulting solution was filtered to remove insoluble matter and suitably diluted with the same solvent. The absorbance of the solution was measured using a UV–Visible spectrophotometer at the specified wavelength 11.
Flatness was evaluated by cutting one strip from the center and two from the sides of each patch, measuring their lengths, and calculating percent constriction, where 0% constriction corresponds to 100% flatness 12. Folding endurance was determined by repeatedly folding a film at the same spot until it broke, with the final value representing the number of folds the film could withstand without cracking or breaking 13. Tensile strength of transdermal patches was determined using a tensile strength testing apparatus. The transdermal patch was cut into strips of uniform dimensions and fixed between two clamps of the instrument. One clamp was kept stationary while the other was made movable.
The load was gradually increased until the patch broke. The force required to break the patch and the dimensions of the patch were noted. Tensile strength was calculated to evaluate the mechanical strength and integrity of the transdermal patch. The tensile strength was calculated using the formula:
Tensile strength = Cross-sectional area of the patch /Breaking force 14
Percentage moisture content was determined by weighing the patches initially, keeping them in a desicator maintained at 75-84% relative humidity (RH) with desiccant (Silica gel) at room temperature for 24 h. The films were weighed again after a specified interval until a constant weight was achieved. The moisture content was calculated using the formula:
% Moisture content = (Initial weight – Final weight) / Final weight × 100 15
For percentage moisture uptake, the patches were first kept in a desiccator for 24 hours at room temperature, then transferred to a desiccator maintained at 84% relative humidity using a saturated potassium chloride solution until a constant weight was reached. Moisture uptake was calculated using the formula:
% Moisture uptake = (Final mass – Initial mass) / Initial mass × 100
In-vitro Drug Release Studies: The release rate of benidipine containing transdermal patches was determined by diffusion process using cellophane/dialysis membrane. The diffusion process was performed using (20-50ml) of dissolution media as buffer solution of phosphate (pH 7.4) at 37 ± 0.5° and 100 rpm. The sample (2ml) of the solution was taken from the apparatus at different time periods. The samples were replaced with fresh dissolution media. The samples were diluted if necessary. Absorbance values of these solutions were recorded at maximum Wavelength of Benidipine using UV Spectrophotometer. The percentage drug release was calculated 17.
Ex-vivo Skin Penetration Studies: A Franz diffusion cell with a receptor compartment capacity of 22.5-40 mililitres was used for ex-vivo skin penetration study. The animal skin was attached to the diffusion cell's donor and receptor compartments. The formulation patch was applied to the skin and covered with paraffin film. The diffusion cell's receptor compartment was filled with buffer solution pH 7.4. The entire assembly was mounted on a magnetic stirrer, and the solution in the receptor compartment was continually swirled at 50 rpm using magnetic beads, with the temperature maintained at 32±0.5 °C. The samples were taken at various intervals and spectrophotometrically evaluated for drug concentration. At each sample withdrawal (2ml), the receptor phase was replaced with an equal volume of buffer solution. Time was displayed against the cumulative percentages of drug penetrate per square centimetre of patches.
RESULTS AND DISCUSSION:
Benidipine-excipients Compatibility: The benidipine-excipients compatibility study was also conducted in which FTIR spectrum analysed in single and in combination as well. In infrared spectral analysis, benidipine with other excipients have not shown any significant fluctuation. Therefore, it indicates that benidipine is compatible with the excipients i.e., Polyethylene Glycol 400, HPMC K-100 and Tween 20 used in the preparation of the transdermal patches of benidipine.
FIG. 1: FTIR SPECTRUM OF BENIDIPINE (SAMPLE)
TABLE 1: IR SPECTRUM INTERPRETATION OF BENIDIPINE SAMPLE
| S. no. | Functional groups | Absorption of Benidipine at Wave number (cm-1) |
| 1 | Aromatic C-H group | 3170 |
| 2 | Aromatic C-H group | 3065 |
| 3 | -CH3, -CH2 groups | 2946 |
| 4 | Ester C=O group | 1709 |
| 5 | C=O group | 1668 |
| 6 | NO2 group | 1532 |
| 7 | C=C | 1492 |
| 8 | CH bending in CH3-N group | 1429 |
| 9 | NO2 group | 1347 |
| 10 | C-N group | 1301 |
| 11 | C-O-C group | 1209 |
| 12 | C-O-C group | 1096 |
| 13 | C-N-H group | 1011 |
| 14 | C-N bending in aromatic ring | 941 |
| 15 | C-N stretching in NO2 group | 828 |
| 16 | C-H bending | 741 |
| 17 | Aromatic C-H bending | 701 |
FIG. 2: FTIR SPECTRUM OF BENIDIPINE (API)+POLYETHYLENE GLYCOL 400
FIG. 3: FTIR SPECTRUM OF BENIDIPINE (API)+ HPMC K-100
FIG. 4: FTIR SPECTRUM OF BENIDIPINE (API) + TWEEN 20
Benidipine (API) +CMC FTIR Spectra:
FIG. 5: FTIR SPECTRUM OF BENIDIPINE (API) + CMC
The interaction studies of drug with polymers suggests no incompatibility. Benidipine shows retention of basic characteristics as N-H stretch at3356.4 cm-1, =C-H (alkene aromatic) at 2654.3 cm-1, C-H (alkane stretching) at 2897.4 cm-1,O-H (carboxylic acid) at 2659.7, 2438.7 cm-1, C=O Stretch (ester) at 1656.4, 1522.65 cm-1 and N-O Stretch at 1531.3, 1495.4 cm-1 as shown in FTIR of drug and excipients. The typical FTIR curves shown in Fig. 2-4.
Identification of Standard Drug by UV Spectroscopy (λmax): UV spectrum of benidipine sample showed characteristic UV absorption pattern with λmax at 237 nm.
FIG. 6: UV SPECTRA OF BENIDIPINE
Formulation of Transdermal Patches: Various excipients were utilized in the formulation of transdermal patches (F1-F12) as shown in below Table 2.
TABLE 2: COMPOSITION OF TRANSDERMAL PATCHES
| Components | F1 | F2 | F3 | F4 | F5 | F6 |
| Benidipine (mg) | 250 | 250 | 250 | 250 | 250 | 250 |
| HPMC K-100 (mg) | 400 | 500 | 400 | 600 | 600 | 600 |
| CMC (mg) | 400 | 250 | 100 | 100 | 250 | 400 |
| PEG -400 (ml) | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 |
| Tween 20 (ml) | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 |
| DMSO (ml) | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 |
| Methanol: DCM (ml) | 1:1 | 1:1 | 1:1 | 1:1 | 1:1 | 1:1 |
| Components | F7 | F8 | F9 | F10 | F11 | F12 |
| Benidipine (mg) | 250 | 250 | 250 | 250 | 250 | 250 |
| HPMC K-100 (mg) | 500 | 500 | 500 | 400 | 500 | 500 |
| CMC (mg) | 250 | 250 | 250 | 250 | 100 | 400 |
| PEG -400 (ml) | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 | 0.8 |
| Tween 20 (ml) | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 | 0.2 |
| DMSO(ml) | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 | 0.7 |
| Methanol: DCM (ml) | 1:1 | 1:1 | 1:1 | 1:1 | 1:1 | 1:1 |
Preparation of Mixture: The drug benidipine (250mg) was dissolved in 40ml of solvent mixture of methanol: dichloromethane in beaker ‘A’. In beaker ‘B’ PEG-400, Tween 20 HPMC K-100, and CMC were dissolved in 10ml of same solvent mixture (Methanol: Dichloromethane 1:1) to get a transparent solution. Then contents of both beakers were mixed and stirred well by mechanical stirrer for 20 minutes. The air bubbles were removed with the help of ultra-sonicator. Tween 20 used as surfactant.
Casting and Drying of Films: Above mixture was poured into petri dishes, which were pretreated with silicone emulsion. These petri-dish were kept in closed box so as to control the evaporation of organic solvents used. The control of evaporation was necessary for uniform drying of films. The drying was carried out at room temperature for at least 8 –12 hours. Then the films were cut into small patches of diameter 2.5 cm. Approx 12 patches developed in one batch, each patch contain approx 16mg drug.
FIG. 7: FLOW DIAGRAM OF FORMULATION OF TRANSDERMAL PATCHES
Evaluation of Transdermal Patches: Twelve formulations (F1–F12) of transdermal patches were evaluated for key physicochemical parameters including thickness, weight variation, drug content uniformity, flatness, folding endurance, tensile strength, and moisture content. The results demonstrate that all formulations fell within acceptable ranges for transdermal systems, although observable variations reflect differences in polymer composition and plasticizer concentration.
Thickness and Weight: The thickness of the patches ranged from 0.247 mm (F7) to 0.329 mm (F8), indicating moderate variability across formulations. Weight values showed a corresponding trend, varying between 1000 mg (F7) and 1200 mg (F2). These variations are likely due to differences in polymer ratios and solution viscosity during casting. However, the low standard deviations suggest good uniformity within each batch.
Drug Content Uniformity: Drug content ranged from 96.25% (F1) to 97.53% (F3), demonstrating excellent uniformity across all formulations. The slight variations observed may be attributed to differences in solubilization efficiency and drug distribution during matrix formation. Overall, all formulations met typical drug content criteria (≥95%), indicating successful incorporation of the active ingredient.
Flatness: Flatness values ranged from 92.26% (F4 and F5) to 96.62% (F1). Formulations with lower flatness likely contain higher amounts of hydrophilic polymers, which may induce slight shrinkage upon drying. However, all values remained within acceptable limits, showing minimal curvature and good structural stability.
Folding Endurance: Folding endurance values varied widely from 158 (F12) to 215 (F7). Higher endurance indicates greater flexibility and better mechanical stability, likely linked to optimized plasticizer content. F7 demonstrated the highest flexibility, which may enhance patient handling and patch durability during application.
Tensile Strength: Tensile strength ranged between 0.58 kg/cm² (F2) and 0.86 kg/cm² (F7). Formulations with higher tensile strength (F4, F7, F9) suggest stronger polymeric networks capable of withstanding mechanical stress. The combination of high tensile strength and high folding endurance in F7 indicates a well-balanced mechanical profile.
Moisture Content: Moisture content varied from 4.58% (F1) to 9.1% (F2). Formulations with higher moisture content may incorporate more hydrophilic excipients, increasing the potential for microbial growth or reduced patch stability. F1 exhibited the lowest moisture retention, which may enhance stability during storage. All moisture content levels, however, remained under 10%, which is generally acceptable to avoid brittleness or excessive softness.
TABLE 3: EVALUATION OF TRANSDERMAL PATCHES (F1-F12)
| Form. | Thickness (mm) | Weight (mg) | Drug content (%) | Flatness (%) | Folding endurance (No. of folds) | Tensile strength (kg/cm2) | Moisture content (%) |
| F1 | 0.268±0.015 | 1180±0.33 | 96.25±0.38 | 96.62±0.84 | 201± 1.67 | 0.64± 0.16 | 4.58± 0.46 |
| F2 | 0.321±0.045 | 1200±0.16 | 97.46 ±0.84 | 94.36±1.08 | 172± 1.52 | 0.58± 0.19 | 9.1± 0.34 |
| F3 | 0.288±0.019 | 1100±0.12 | 97.53 ±0.31 | 93.74±1.27 | 167± 1.43 | 0.72± 0.26 | 7.32± 0.29 |
| F4 | 0.315±0.027 | 1150±0.27 | 97.34 ±0.20 | 92.26±1.34 | 197± 1.54 | 0.81± 0.34 | 6.51± 0.15 |
| F5 | 0.284±0.029 | 1050±0.18 | 96.58 ±0.23 | 92.26±1.34 | 182± 2.19 | 0.71± 0.29 | 8.2± 0.13 |
| F6 | 0.293±0.023 | 1140±0.16 | 96.82 ±0.64 | 96.38±0.65 | 170± 2.10 | 0.72± 0.17 | 7.25± 0.65 |
| F7 | 0.247±0.029 | 1000±0.23 | 97.34 ±0.10 | 93.25±1.38 | 215± 1.74 | 0.86± 0.14 | 7.54± 0.23 |
| F8 | 0.329±0.036 | 1148±0.32 | 96.62 ±0.35 | 94.47±1.36 | 172± 1.68 | 0.76± 0.17 | 7.2± 0.68 |
| F9 | 0.318±0.011 | 1100±0.22 | 97.1 ±0.14 | 95.57±1.44 | 188± 1.57 | 0.84± 0.24 | 6.1± 0.29 |
| F10 | 0.299±0.015 | 1080±0.18 | 97.38 ±0.19 | 96.38±0.82 | 162± 1.98 | 0.66± 0.22 | 6.21± 0.38 |
| F11 | 0.322±0.018 | 1140±0.21 | 97.35 ±0.27 | 95.23±0.45 | 176± 2.47 | 0.59± 0.27 | 7.53± 0.32 |
| F12 | 0.278±0.022 | 1052±0.31 | 96.4 ±0.32 | 93.36±1.65 | 158± 1.65 | 0.62± 0.12 | 6.98± 0.76 |
N=3
In-vitro Drug Release: The in-vitro drug release study of formulations F1–F12 demonstrated an initial burst release during the first 2 hours, followed by a sustained and controlled release up to 48 hours. At 0.5 hours, release values ranged from 5.11% to 7.38%, with F7 showing the highest early release. By 2 hours, cumulative release reached approximately 11–14%, with F6 showing the highest value (13.50%), suggesting quicker initial hydration and polymer swelling. All formulations maintained a steady release pattern between 4 to 12 hours, with drug release reaching approximately 57–60% at 12 hours, reflecting uniform mid-phase diffusion characteristics. During the extended phase (18–48 hours), release continued gradually, reaching around 71–74% at 24 hours and 80–84% at 36 hours. After 48 hours, all formulations achieved high cumulative release values between 95.22% and 97.46%, with F5 showing the highest release (98.54%) and F1 the lowest (92.29%), while F4 formulation showed gradually increase pattern. Overall, the release behavior of all twelve formulations indicates effective sustained drug delivery over 48 hours, with minor variations attributed to differences in polymer composition and matrix permeability, F4 demonstrating the most favorable release profile, likely due to superior polymer–plasticizer interactions that enhanced matrix permeability and drug diffusion.
FIG. 8: GRAPHICAL REPRESENTATION OF IN-VITRO DRUG RELEASE OF TRANSDERMAL PATCHES [F1-F12]
Ex-vivo Permeation Study: Ex-vivo permeation studies of formulations F1–F12 demonstrated gradual increase in cumulative drug permeation up to 48 h.
Among all formulations showed controlled release pattern, due to polymer ratio, improved vesicle stability and increased interaction with skin layers.
TABLE 4: EX-VIVO PERMEATION STUDY FOR F1-F12
| Time (Hr.) | F1 | F2 | F3 | F4 | F5 | F6 |
| 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 0.5 | 5.65±0.3 | 6.73±0.5 | 5.45±0.3 | 4.29±0.2 | 6.45±0.3 | 7.56±0.1 |
| 1 | 8.41±0.4 | 9.43±0.4 | 9.92±0.1 | 8.72±0.4 | 9.10±0.6 | 9.39±0.2 |
| 2 | 12.49±0.3 | 14.64±0.3 | 13.34±0.2 | 12.73±0.3 | 13.25±0.2 | 14.45±0.2 |
| 4 | 16.31±0.5 | 17.27±0.8 | 20.34±0.5 | 16.40±0.2 | 17.43±0.5 | 18.24±0.3 |
| 6 | 21.36±0.4 | 19.27±0.1 | 22.57±0.2 | 18.24±0.4 | 20.27±0.3 | 21.59±0.5 |
| 8 | 26.23±0.2 | 24.38±0.4 | 25.32±0.3 | 23.45±0.7 | 27.45±0.6 | 24.64±0.4 |
| 10 | 29.41±0.1 | 28.34±0.3 | 26.31±0.2 | 27.37±0.2 | 30.14±0.1 | 28.45±0.2 |
| 12 | 41.15±0.2 | 40.58±0.6 | 38.26±0.1 | 40.67±0.4 | 39.23±0.3 | 37.26±0.4 |
| 18 | 52.41±0.6 | 49.43±0.2 | 47.26±0.2 | 48.46±0.6 | 51.39±0.2 | 46.11±0.6 |
| 24 | 67.60±0.3 | 66.32±0.3 | 64.35±0.2 | 63.61±0.2 | 64.25±0.6 | 65.17±0.4 |
| 36 | 82.80±0.2 | 78.16±0.7 | 81.24±0.3 | 76.34±0.5 | 87.23±0.3 | 83.39±0.1 |
| 48 | 94.2±0.1 | 93.23±0.4 | 93.2 ±0.4 | 94.1 ±0.2 | 96.28 ±0.6 | 94.18 ±0.3 |
| Time (Hr.) | F7 | F8 | F9 | F10 | F11 | F12 |
| 0 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
| 0.5 | 6.29±0.1 | 5.34±0.4 | 6.83±0.2 | 6.25±0.2 | 6.89±0.12 | 6.63±0.24 |
| 1 | 9.28±0.6 | 8.23±0.1 | 9.53±0.8 | 9.32±0.39 | 10.41±0.4 | 9.51±0.1 |
| 2 | 11.32±0.2 | 12.17±0.1 | 14.29±0.3 | 12.01±0.12 | 13.26±0.3 | 16.49±0.1 |
| 4 | 16.45±0.6 | 15.45±0.4 | 16.40±0.2 | 15.91±0.5 | 14.82±0.5 | 20.39±0.8 |
| 6 | 23.19±0.3 | 21.48±0.3 | 22.27±0.1 | 28.17±0.2 | 26.28±0.4 | 16.37±0.2 |
| 8 | 27.34±0.7 | 25.45±0.1 | 26.29±0.4 | 34.61±0.3 | 36.24±0.7 | 31.80±0.6 |
| 10 | 31.29±0.2 | 29.16±0.4 | 30.59±0.3 | 34.23±0.5 | 43.47±0.2 | 40.29±0.4 |
| 12 | 42.37±0.1 | 41.26±0.4 | 39.15±0.6 | 41.13±0.7 | 52.12±0.8 | 51.29±0.9 |
| 18 | 49.23±0.2 | 51.28±0.1 | 48.17±0.3 | 52.45±0.6 | 62.42±0.4 | 69.85±0.1 |
| 24 | 63.25±0.1 | 65.17±0.2 | 62.48±0.3 | 65.57±0.7 | 70.36±0.8 | 75.77±0.7 |
| 36 | 79.43±0.5 | 82.56±0.8 | 77.34±0.1 | 75.66±0.2 | 78.62±0.1 | 86.96±0.2 |
| 48 | 94.2 ±0.3 | 94.51 ±0.3 | 93.48 ±0.2 | 93.51 ±0.9 | 94.24 ±0.8 | 94.25 ±0.3 |
FIG. 9: EX-VIVO PERMEATION STUDY FOR F1-F12
Optimization of Formulation Variables via Central Composite Design: Central composite design was used to optimize the formulation. It was suitable for investigating the linear/quadratic response surface and constructing first/second order polynomial model using Design Expert (version 12), thus enabling optimization of formulation with a small number of experiments run (12 runs). In this study, the two independent variables including HPMC K-100 and CMC concentration were taken which significantly influenced the observed response for drug content, moisture content, in-vitro drug release and ex-vivo drug release. Twelve formulations of transdermal patches of benidipine were prepared by solvent casting method. The polynomial equation involving the main effect and interaction factors were determined by the estimation of multiple and adjusted correlation coefficient and the predicted sum of squares generated by design experiment. The statistical validation of polynomial equation was established by ANOVA provision available in software. Thus, the determination of optimum values of variable according to the obtained experimental data was done.
TABLE 5: EXPERIMENTS AND CORRESPONDING VALUES OF CHARACTERIZATION PARAMETERS
| Run
|
Factor 1 A: HPMC MG | Factor 2 B: CMC MG | Response 1 Drug content % | Response 2 Moisture content % | Response 3 Cumulative drug % | Response 4 Ex-vivo perm. Rat % |
| 1 | 400 | 400 | 97.254 | 4.58 | 94.2225 | 94.2 |
| 2 | 500 | 250 | 97.46 | 9.1 | 93.4061 | 93.23 |
| 3 | 400 | 100 | 97.53 | 7.32 | 93.4916 | 93.2 |
| 4 | 600 | 100 | 97.35 | 6.51 | 94.2225 | 94.1 |
| 5 | 600 | 250 | 96.5876 | 8.2 | 97.0634 | 96.28 |
| 6 | 600 | 500 | 96.82 | 7.25 | 96.0967 | 94.18 |
| 7 | 500 | 250 | 97.34 | 7.54 | 94.2225 | 94.2 |
| 8 | 500 | 250 | 96.62 | 7.2 | 96.7589 | 94.51 |
| 9 | 500 | 250 | 97.1 | 6.102 | 94.3983 | 93.48 |
| 10 | 400 | 250 | 97.38 | 6.21 | 94.4676 | 93.51 |
| 11 | 500 | 100 | 97.35 | 7.53 | 94.2225 | 94.24 |
| 12 | 500 | 400 | 96.4 | 6.98 | 95.6374 | 94.25 |
Effect of HPMC K-100 and CMC on Drug Content Surface Response Curve: As the concentration of HPMC K-100 increases, the drug content shows a slight but consistent increase. Indicating HPMC K-100 helps maintain uniformity and stability of drug.
An increase in CMC concentration also leads to an increase in drug content, and the effect appears a little stronger than HPMC K-100. CMC contributes more significantly to improving drug content, due o its better binding and dispersing ability.
FIG. 10: RESPONSE SURFACE PLOT OF DRUG CONTENT SHOWING EFFECT OF HPMC K-100 AND CMC CONCENTRATION
TABLE 6: FACTORS OF DRUG CONTENT
| Sr. no. | Factors | Values |
| 1 | Std. Dev. | 0.2199 |
| 2 | Mean | 97.10 |
| 3 | C.V. % | 0.2265 |
| 4 | R2 | 0.7379 |
| 5 | Adj. R2 | 0.6797 |
| 6 | Pred. R2 | 0.5428 |
| 7 | Adeq. precision | 10.0012 |
TABLE 7: ANOVA TABLE FOR DRUG CONTENT
| Analysis of variance table [Partial sum of squares-Type III] | ||||||
| Source | Sum of Squares | df | Mean Square | F-Value | p- value Prob> F | |
| Model | 1.23 | 2 | 0.6126 | 12.67 | 0.0024 | significant |
| A-HPMC K-100 | 0.4733 | 1 | 0.4733 | 9.79 | 0.0121 | |
| B-CMC | 0.7520 | 1 | 0.7520 | 15.55 | 0.0034 | |
| Residual | 0.4352 | 9 | 0.484 | |||
| Lack of Fit | 0.4287 | 6 | 0.0715 | 32.94 | 0.0079 | significant |
| Pure Error | 0.0065 | 3 | ||||
| Cor Total | 1.66 | 11 | ||||
Effect of HPMC K-100 and CMC on Moisture Content Surface Response Curve: At higher concentration of HPMC K-100 and CMC lead to a significant increase in moisture content due to their hydrophilic nature and swelling capacity. The surface response indicates a positive correlation between polymer concentration and moisture content.
FIG. 11: RESPONSE SURFACE PLOT OF MOISTURE CONTENT SHOWING EFFECT OF HPMC K-100 AND CMC CONCENTRATION
TABLE 8: FACTORS OF MOISTURE CONTENT
| Sr. no. | Factors | Values |
| 1 | Std. Dev. | 0.9359 |
| 2 | Mean | 7.04 |
| 3 | C.V. % | 13.29 |
| 4 | R² | 0.6281 |
| 5 | Adjusted R² | 0.3182 |
| 6 | Predicted R² | 0.0564 |
| 7 | Adeq Precision | 4.6669 |
TABLE 9: ANOVA TABLE FOR MOISTURE CONTENT
| Analysis of variance table [Partial sum of squares-Type III] | ||||||
| Source | Sum of Squares | df | Mean Square | F-Value | p- value Prob>F | |
| Model | 8.88 | 5 | 1.78 | 2.03 | 0.2075 | not significant |
| A-HPMC K-100 | 2.47 | 1 | 2.47 | 2.82 | 0.1441 | |
| B-CMC | 1.08 | 1 | 1.08 | 1.24 | 0.3086 | |
| AB | 3.03 | 1 | 3.03 | 3.46 | 0.1124 | |
| A² | 0.8370 | 1 | 0.8370 | 0.9555 | 0.3661 | |
| B² | 0.6943 | 1 | 0.6943 | 0.7926 | 0.4076 | |
| Residual | 5.26 | 6 | 0.8760 | |||
| Lack of Fit | 0.6507 | 3 | 0.2169 | 0.1413 | 0.9289 | not significant |
| Pure Error | 4.61 | 3 | 1.54 | |||
| Cor Total | 14.13 | 11 | ||||
Effect of HPMC K-100 and CMC on Drug Release Surface Response Curve: Both HPMC K-100 and CMC reduce cumulative drug release as their concentrations increase. The retardation effect is stronger with CMC compared to HPMC K-100. This indicates that both polymers act as release-controlling agents.
FIG. 12: RESPONSE SURFACE PLOT OF DRUG RELEASE SHOWING EFFECT OF HPMC K-100 AND CMC CONCENTRATIONTABLE 10: FACTORS OF DRUG RELEASE
| Sr. no. | Factors | Values |
| 1 | Std. Dev. | 0.5214 |
| 2 | Mean | 94.85 |
| 3 | C.V. % | 0.5497 |
| 4 | R² | 0.8524 |
| 5 | Adjusted R² | 0.8196 |
| 6 | Predicted R² | 0.7688 |
| 7 | Adeq Precision | 13.7009 |
TABLE 11: ANOVA TABLE FOR DRUG RELEASE
| Analysis of variance table [Partial sum of squares-Type III] | ||||||
| Source | Sum of Squares | df | Mean Square | F-Value | p- value Prob>F | |
| Model | 14.13 | 2 | 7.06 | 25.98 | 0.0002 | significant |
| A- A: HPMC K-100 | 1.37 | 1 | 1.37 | 5.03 | 0.0515 | |
| B-B: CMC | 12.76 | 1 | 12.76 | 46.93 | < 0.0001 | |
| Residual | 2.45 | 9 | 0.2719 | |||
| Lack of Fit | 2.45 | 6 | 0.4078 | |||
| Pure Error | 0.0000 | 3 | 0.0000 | |||
| Cor Total | 16.57 | 11 | ||||
Effect of HPMC K-100 and CMC on Ex-vivo Permeation Surface Response Curve:
FIG. 13: RESPONSE SURFACE PLOT OF EX-VIVO PERMEATION SHOWING EFFECT OF HPMC K-100 AND CMC CONCENTRATION
Higher concentrations of HPMC K-100 and CMC both lead to reduced ex-vivo permeation, with CMC exerting a stronger retarding effect than HPMC K-100. This shows that although both polymers contribute to controlled release.
TABLE 12: FACTORS OF EX-VIVO PERMEATION
| Sr. no. | Factors | Values |
| 1 | Std. Dev. | 0.4639 |
| 2 | Mean | 94.12 |
| 3 | C.V. % | 0.4930 |
| 4 | R² | 0.7341 |
| 5 | Adjusted R² | 0.6750 |
| 6 | Predicted R² | 0.4061 |
| 7 | Adeq Precision | 9.6564 |
TABLE 13: ANOVA TABLE FOR EX-VIVO PERMEATION
| Analysis of variance table [Partial sum of squares-Type III] | ||||||
| Source | Sum of Squares | df | Mean Square | F-Value | p- value Prob>F | |
| Model | 5.35 | 2 | 2.67 | 12.42 | 0.0026 | significant |
| A- A: HPMC K-100 | 0.3307 | 1 | 0.3307 | 1.54 | 0.2465 | |
| B-B: CMC | 5.02 | 1 | 5.02 | 23.31 | 0.0009 | |
| Residual | 1.94 | 9 | 0.2152 | |||
| Lack of Fit | 1.93 | 6 | 0.3211 | 90.03 | 0.0018 | significant |
| Pure Error | 0.0107 | 3 | 0.0036 | |||
| Cor Total | 7.29 | 11 | ||||
Overlay Plot: The boxed point (centre of the yellow region) represents the predicted optimized formulation, with coded or actual values of HPMC K-100 and CMC (visible in the plot box, e.g., A = 600 mg, B = 100 mg approximately). Formulation F4 was selected as the optimized batch because its composition and responses closely matched the predicted formulation and values obtained from the Design of experiments. In Conclusion, Increasing HPMC K-100 generally enhances film-forming ability and controls drug release but may reduce moisture content and permeation at higher levels. Less CMC tends to improve swelling, hydration, and permeation. The optimum formulation (F4) lies within the yellow design space, where both polymers are balanced, ensuring high drug content, acceptable moisture level, sustained release, and improved permeation.
FIG. 14: AN OVERLAY PLOT OF DESIGN OF EXPERIMENT STUDY EVALUATING THE COMBINED EFFECT OF HPMC K-100 (A) AND CMC (B) CONCENTRATIONS ON VARIOUS FORMULATIONS RESPONSES
CONCLUSION: The study successfully formulated and optimized transdermal patches of benidipine using HPMC K-100 and CMC as polymeric matrices. FTIR analysis confirmed the compatibility of benidipine with all excipients, ensuring stability and suitability for patch development. Evaluation of the prepared formulations demonstrated uniform thickness, drug content, mechanical strength, and moisture stability across all batches. In-vitro drug release and ex-vivo permeation data showed that polymer concentration significantly affected the diffusion behavior, with higher levels of HPMC K-100 and CMC producing more sustained release profiles. Optimization using Central Composite Design identified these two polymers as critical variables influencing patch performance, and the design space generated through response surface methodology enabled the selection of formulation F4 as the optimized formulation. F4 provided a desirable balance of drug content, folding endurance, tensile strength, moisture content, sustained drug release, and improved permeation. Thus, the optimized benidipine transdermal patch offers a promising alternative for prolonged antihypertensive therapy, capable of improving bioavailability, reducing dosing frequency, and enhancing patient compliance. Further in-vivo studies are recommended to establish therapeutic efficacy and clinical applicability.
ACKNOWLEDGEMENT: We would like to express our sincere gratitude to supervisor for his valuable guidance, support and encouragement throughout this research work. The authors also acknowledge the BIU College of Pharmacy, Bareilly International University Bareilly, for providing the necessary facilities and support to carry out this research work. The Authors also thank to our family and friends for their support during this research work.
CONFLICTS OF INTEREST: The authors declare no conflicts of interest.
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How to cite this article:
Katiyar N, Mishra P and Kannojia P: Formulation, optimization and evaluation of transdermal patches containing benidipine. Int J Pharm Sci & Res 2026; 17(6): 1815-27. doi: 10.13040/IJPSR.0975-8232.17(6).1815-27.
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Article Information
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1815-1827
1429 KB
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English
IJPSR
Neha Katiyar *, Pankaj Mishra and Pushpendra Kannojia
BIU College of Pharmacy, Bareilly International University, Bareilly, Uttar Pradesh, India.
katiyarneha40@gmail.com
15 January 2026
02 February 2026
05 March 2026
10.13040/IJPSR.0975-8232.17(6).1815-27
01 June 2026



















