Tailoring Vilazodone Hydrochloride Delivery Systems with Natural Superdisintegrants for Enhanced Bioavailability

 

Vijay Sharm1*, Ayushi Jauhri2, Lalit Singh3, Pawan Singh1, Amit Kumar4, Navneet Verma5

1Pharmacy Academy, IFTM University, Moradabad, India.

2Senior Research Scientist, Sun Pharmaceutical Ltd, Guru Gram, India.

3Jamuna Prasad Memorial College of Pharmacy, Bareilly, India.

4Institute of Pharmaceutical Sciences, Ramswaroop Memorial University, Luknow, India.

*Corresponding Author E-mail: vijaysrampur@gmail.com

 

ABSTRACT:

The work presented below aimed to successful development of optimized fast dissolving tablet of vilazodone hydrochloride with natural superdisintegrants prepared by Lepidum sativum Seed using “Quality by Design”. Central composite design was used to optimize the tablet formulation which was compressed by direct compression followed by sublimation technique with additive effect of natural super disintegrant The impact of independent variables i.e. natural super-disintegrant and sublimating agent at different concentration was determined on dependent variables like wetting time, disintegration time and drug release. The optimized batches were developed after validation using overlay plot technique of design expert, passes all the physical evaluation of tablets, it passes the compatibility studies as shown by FTIR, XRD and DSC TGA. Tablet also showed minimum wetting time, disintegration time and maximum the drug release in 5 m.. The developed optimized formulation employing CCD shows no significant changes during one month stability studies. This present work results in a completion with the development of compressed tablets for vilazodone hydrochloride with high porosity that dissolve rapidly in mouth to improve patient compliance and could be industrially feasible.

 

KEYWORDS: Fast Dissolving Tablet, Lepidum sativum Seed, Mucilage, Thymol, central composite design.

 

 


INTRODUCTION: 

A fast-dissolving drug delivery system (FDDS) is a dosage form that rapidly disintegrates in saliva within seconds when placed on the tongue, eliminating the need for water or chewing.1 Despite of tremendous development. In drug delivery systems, the oral route is favored for drug administration because of its numerous advantagesIn drug delivery systems, the oral route is favored for drug administration due to its numerous advantages, including low therapy costs, ease of administration, accurate dosing, suitability for self-medication, avoidance of pain, versatility, and, most importantly, high patient compliance. Fast dissolving tablets (FDTs) have been developed to cater to the needs of pediatric, geriatric, and bedridden patients, as well as active individuals who are busy or traveling and may not have access to water.

 

Tablets and capsules are widely accepted dosage forms; however, a significant drawback is dysphagia, or difficulty swallowing. This issue has led to the development of novel solid dosage forms, such as FDTs, which disintegrate and dissolve rapidly in saliva without the need for drinking water. Vilazodone Hydrochloride (VH) an antidepressant agent was approved by US Food and Drug Administration (US FDA) in 20114. Through VH is absorbed after oral intake but has a bioavailability of only 72%. However, FDTs can increase bioavailability by allowing pre-gastric absorption of the drug from the mouth, pharynx, and esophagus as saliva carries it to the stomach. Therefore, an attempt was made to formulate and optimize FDTs using central composite design (CCD) to achieve a quicker onset of action. This was done by varying the concentrations of thymol (THY) as a sublimating agent and Lepidium sativum seed mucilage (LSSM) as a super disintegrant7.

 

MATERIAL AND METHODS:

Materials:

VH was procured as gift sample from Jubilant Life Science Ltd. (Noida, India). Thymol, Sucrose, Loba Qualigens fine labs (Mumbai, India). Mannitol, SD fine chem. (Mumbai, India) Talcum, Sodium starch glycolate, Magnesium stearate, Central Drug House (New Delhi, India). All chemicals were of good analytical grade and double distilled water was used during the complete project.

 

Extraction of mucilage from Lepidium sativum Linn seeds:

The Lepidium sativum Linn seeds (100 g) were allowed to soak for twelve hours in distilled water. After soaking for desired period of time, this was allowed to pass through the blender to separate mucilage from seeds. The prepared content was passed through muslin cloth. Precipitation of mucilage from the filtrate was done with continuous addition of one litre of acetone. The powder was passed through 80 # mesh sieve and dried at 55ºC for 6 hr8,9.

 

Drug – Excipient interaction study:

Compatibility Study was carried by using FT-IR Spectroscopy (Perkin Elmer FT-IR spectrum BX, Germany). he samples were previously ground and thoroughly mixed with KBr in a 1:100 ratio (sample/ KBr). Transparent pellets were formed by compressing the samples with KBr at a pressure of 5 tons using a hydraulic press. The KBr discs were then prepared for scanning over a range of 4400-400 cm⁻¹ 10, 11, 12.

 

Experimental Design (CCD):

A Central Composite Design (CCD) with α = 1 was employed following the standard protocol. In this study, the independent variables were the concentrations of THY (X1) and LSSM (X2), while the dependent variables included wetting time (WT), disintegration time (DT), and drug release at 5 minutes (Q5m). Tables 1 and 2 summarize all the experimental runs, detailing both the coded and actual levels of the independent variables. 13, 14

 

Table 1: CCD and level of Independent variables

Formulation Code

Coded Values

Actual Values

 

Factor X1

Factor X2

Factor X1 (mg)

Factor X2 (mg)

F1

1

-1

8

4

F2

0

0

6

6

F3

0

-1

6

4

F4

-1

-1

4

4

F5

-1

1

4

8

F6

-1

0

4

6

F7

0

0

6

6

F8

0

0

6

6

F9

0

0

6

6

F10

1

0

8

6

F11

0

1

6

8

F12

0

0

6

6

F13

1

1

8

8

 

Preparation of Tablet Blend:

VH FDT (10 mg) was prepared by sublimation technique as per the formula mentioned in Table 2.    

                 

Table 2: VH FDT formula

S. No.

Ingredients

Quantity (mg)

1

Vilazodone hydrochloride

10

2

Lepidium sativum seed mucilage

4-8

3

Thymol

4-8

4

Sucrose

10

5

Microcrystalline cellulose

20

6

Magnesium stearate

1

7

Talcum

1

8

Flavor (orange)

1

9

Mannitol

qs 80

            

All the dried ingredients including VH were passed through #sieve 44 and mixed properly in a lab scale double cone blender (Bhagwati, Gujarat, India). Tablet blend was compressed on 16 rotatory stations, 5 mm round flat punch using Rimek Minipress-1 (Karnavati, Cadila, India). Compressed tablet were allowed for sublimation of THY in Hot air oven (Asian test Equipment, Ghaziabad, India) at 60ºc till constant weight was found for complete removal of THY to make it highly porous15,16.

 

Evaluation:

The formulated tablets, following sublimation, were evaluated for various physicochemical parameters, including general appearance, weight variation, hardness, friability, porosity, and morphology.17-21

 

Wetting time:

A circular tissue paper with a diameter of 6.5cm was placed on a petri dish containing 6 ml of water. A tablet was then placed on the tissue paper, and the time was carefully noted when the water reached the upper surface of the tablet22,23.

 

Scanning electron microscopy:

The surface characteristics of the formulation were analyzed using a scanning electron microscope (SEM) (JEOL JSM-6360, Japan). The samples were mounted on double-sided tape on aluminum stubs and then sputter-coated with gold using a fine coat ion sputter (JEOL)24.

 

Disintegration time test:

Six tablets were randomly taken and placed in a tablet disintegration test apparatus (USP Disintegration Apparatus). Disintegration media was taken as distilled water maintained at 37±2ºC. Time for disintegration was noted25.

 

In vitro drug release:

Release study was conducted in USP II dissolution apparatus with a speed of 50rpm taking 900 mL of phosphate buffer (pH-6.8). Aliquots were withdrawn at predefined intervals, proper sink conditions were maintained during the test. Samples were filtered before absorption determination using UV- visible spectrophotometer at 240 nm26,27.

 

Data optimization:

The optimization study was conducted using a 3232 central composite design (CCD). Two independent variables were selected: the super-disintegrant (Lepidium sativum seed mucilage, LSSM, X1​) and the sublimating agent (thymol, THY, X2​). The effects of these independent variables were investigated on the dependent responses, including disintegration time (DT), wetting time (WT), and drug release at 5 minutes (Q5m). The experimental points followed the design outlined in Table 2. Polynomial equations were generated to express the functions of the independent variables (LSSM and THY) as shown in the equation 3.

Y = b0 + b1 X1 + b2 X2 + b3 X1X2 + b4 X12 + b5 X22 +b6 X1X22 + b7X1 2X21                                                    (3)

Where Y is the dependent variable, b0 is the arithmetic mean response of the thirteen runs.

 

Effects of independent variable such as X1 and X2 govern the average result of changing one factor at a time, starting from its lower values till its higher values. More efficiently 32 CCD prefer to determine the influence of individual variable using minimum experimentation. In present work 32 CCD was chosen for the optimization of formulations, as the values of the response surfaces were not known from the previous findings. Depending on the trials of per formulation, concentration of LSSM were selected as 4,6 and 8 mg whereas THY concentration were 4,6 and 8 mg. Optimized product was validated taking total six formulations as check-points. 28,29,30..

 

Stability Study:

Optimized formulation was preceded for stability protocol as per the guidelines mentioned in ICH (International conference on Harmonization) at 40ºC and 75% RH using stability chamber for 30 days 31,32.

 

Antidepressant activity:

Male Wistar rats weighing 150-250 grams were selected for the study. These rats were acclimated to controlled humidity settings (50–55%), a temperature of 23 ± 2 °C, and 12-hour light/dark cycles in the experimental room. Pharmacological activity was conducted according to the prescribed guidelines of CPCSEA, Government of India, and approved by the institutional animal ethical committee. The study was divided into four groups (n=6). Drugs or vehicles were administered to the animals 60 minutes prior to the study. Group I served as the negative control and received saline (2 ml/kg orally). Group II was the positive control and received the standard drug Escitalopram (10 mg/kg orally). Group III received the standard drug Imipramine (10 mg/kg orally), while Group IV received the optimized formulation (400 μg/kg orally).33

 

Forced Swim Test:

Rats of each gender were placed separately in a cylindrical container filled with water (diameter 10 cm, height 25 cm, water depth 19 cm) at a temperature of 25±1°C for the Forced Swim Test (FST). The experimental design called for giving the therapy sixty minutes before the trial began. Every animal was made to swim for six minutes, with the final four minutes of the test being used to measure and record the length of immobility33.

 

RESULTS AND DISCUSSION:

Drug Excipients interaction study:

FT-IR graph was obtained for identification of various functional groups.IR spectrum of VH and VH with all excipient is shown in Fig.1 (a), (b) and Fig. 1(c) showing comparative FT-IR spectrum of drug and drug with Excipient. Test for intermolecular interaction between VH and excipients. Pure VH exhibits characteristic infrared spectra in the scanning range of 4400-400 cm⁻¹, indicating the presence of carboxyl (CONH₂) functional groups. The spectra show a general carboxyl amide (C=O) peak at 1690-1630 cm⁻¹. Additionally, the amide functional group, which combines the features of amides and ketones due to the presence of both N-H and C=O bonds, presents a very strong, somewhat broad band in the range of 3100-3500 cm⁻¹ for the N-H stretch. All specific characteristic features of VH are retained in the formulation, clearly indicating that there is no interaction between VH and the excipients.

 

Figure 1: Compatibility study data for drug and excipient (a) FT-IR spectrum of VH (b) FT-IR spectrum of VH with excipients (c) comparative FT-IR spectrum of drug and drug with excipients

 

Characterization of formulated FDT:

Characterization of formulated FDTs was done for different parameters such as weight variation, hardness, Friability, DT, WT and Q5m and results are as shown in table 6.

 

Scanning Electron Microscopy:

SEM analysis show that the tablet remain intact, crack free after compression all the particles are tightly packed as shown in Figure 2 (a) and (b) but after sublimation under vacuum oven tablet show pores as it contain THY as a sublimating agent that evaporates leaving the pores inside the tablet. As pores developed penetration capacity increases. This can be evident that by the figure as the particles of tablet become smaller and a bit porous after sublimation in Fig.2 (c) and (d).

 

Figure 2: SEM analysis of tablet before sublimation (a) and (b), after sublimation (c) and (d)

 

In vitro Drug  release:

Q5m was found to be increase on increasing the concentration of super disintegrant ( LSSM) and sublimating agent (THY). Rapid the WT, and DT resulted in faster Q5m. The drug profile of various formations is ranging from 99.35-101.30% as shown in table 3. Fig.3 showing the drug release profile of various batches.

 

Figure 3: Drug release profile (Q5m)

 

Table 3: Dependent Variables results of various batches

S. No

Batch Code

DT

WT

Q5m

1

F1

21.8(±0.80)

18.9(±0.05)

99.47(±1.20)

2

F2

22.4(±1.03)

20.8(±0.49)

97.07(±0.98)

3

F3

26.9(±1.09)

22.7(±0.97)

95.35(±0.75)

4

F4

28.8(±0.90)

28.0(±1.06)

91.43(±0.98)

5

F5

26.3(±0.88)

22.8(±1.48)

97.18(±0.89)

6

F6

27.5(±0.94)

25.8(±0.98)

94.67(±0.71)

7

F7

22.5(±0.71)

20.7(±1.50)

97.03(±0.62)

8

F8

22.5(±0.77)

20.7(±1.17)

97.15(±0.06)

9

F9

22.4(±1.06)

20.7(±1.51)

97.21(±0.49)

10

F10

18.8(±0.86)

18.0(±0.95)

101.01(±0.85)

11

F11

18.5(±0.68)

18.7(±0.32)

99.47(±0.90)

12

F12

22.4(±1.18)

20.8(±0.56)

97.91(±0.80)

13

F13

14.3(±1.31)

17.1(±0.67)

103.62(±0.82)

 

Data analysis:

Statistical analysis of the data clearly indicates that the values for disintegration time (DT), wetting time (WT), and drug release at 5 minutes (Q5m) are strongly dependent on the selected independent variables. Equations 4-6 relate the responses of DT, WT, and Q5m, respectively. The ANOVA results for the various dependent variables are as follows:

DT = 22.48-4.35 A-3.95 B-1.27 AB+0.6700 A²-0.0300 B²+1.42 A²B-0.3750 AB²-0.2950 A²B²           …….(4)

WT=20.74-3.90 A-2.00 B+0.9500 AB+1.16 A²-0.0400 B²+0.1500 A²B+0.3000 AB²-0.2600 A²B²       …….(5)

Q5m = 97.00+3.50 A+2.00 B-0.5000 AB+0.5000 A²+0. 0B²0+0.50 A²B+0.0AB²+0.00A²B²                  ……(6)

 

Response Surface Analysis:

3-dimensional response surface plots and their corresponding contour plots  to investigate their response properties are shown in Fig. 8 (a)and (b) for DT (c) and(d) for WT (e) and (f)For Q5m

 

Disintegration and wetting time:

It was observed that the response of dependent variable DT and WT had greatly influence by independent variable i.e. LSSM and THY. As DT is the most important factor to optimize FDT. There was an almost linear increase in the DT with increase in the levels of both independent factors. The results of multiple linear regression analysis showed that both coefficients X1 and X2 have negative signs. Therefore, increasing the concentrations of both LSSM and THY is expected to decrease disintegration time (DT) and wetting time (WT). However, the effect of THY is more pronounced compared to LSSM in both cases. THY, when incorporated into the formulation, makes the tablet porous and enhances the capillary and wicking action of LSSM. The formation of pores in the tablet layers increases water uptake capability, as revealed by the response surface and the mathematical model, thus facilitating a reduction in DT.

 

Drug release (Q5m):

Dependent  factors independently exerted a significant positive influence on the Q5m. However the effect of X1 is more pronounced than X2, revealed by the response surface and the mathematical model. Percentage drug release varies in somewhat linear fashion with increase in the amount of LSSM as well as THY simultaneously. Overlay plot of optimized batch as shown in Fig. 4.

 

The statistical model was validated by comparing the predicted responses of all formulated batches with their corresponding experimentally observed values, as shown in Table 4. The close agreement between the predicted and observed values indicates that the models developed to predict the responses were not only statistically significant but also valid for predicting values very close to the experimentally observed ones, as depicted in Fig. 5.


 

Figure 4: Response surface and counter plot for (a) and (b) for (DT), (b) and (c) (WT) and (e) and (f) (Q5m) showing influence of concentration of independent variables and Overlay plot for optimized batch

 

Table 4: Validation of response surface methodology

Batch Code

 Lssm Lepidium sativum Seed Mucilage

Thy

Respone

Predictedva va Value

Actual Value

Percentage

Error

OPTIMIZED BATCH

6.73

6.51

DT

19.94

19.93(±0.11)

0.06

WT

18.18

18.21(±0.63)

-0.16

Q5m

95.92

95.83(±0.09)

0.11

1

7.25

6.55

DT

18.83

18.74(±0.37)

0.48

WT

17.28

17.29(±0.51)

-0.09

Q5m

98.31

98.45(±0.27)

-0.16

2

7.06

7.35

DT

17.41

17.369(±0.11)

0.25

WT

16.50

16.555(±0.19)

-0.31

Q5m

95.99

96.091(±0.72)

-0.12

3

7.22

6.19

DT

17.79

17.703(±0.51)

0.54

WT

19.63

19.592(±0.31)

0.22

Q5m

98.42

98.497(±0.22)

-0.09

4

7.42

6.29

DT

17.316

17.374(±0.19)

-0.33

WT

19.031

18.889(±0.63)

0.75

Q5m

99.463

99.569(±0.25)

-0.12

5

7.69

7.28

DT

6.221

16.27(±0.07)

-0.30

WT

16.466

16.403(±0.16)

0.38

Q5m

99.839

99.274(±0.31)

0.63

6

   7.40

4.14

DT

19.967

19.866(±0.5)

0.51

WT

17.909

18.221(±0.63)

-1.74

Q5m

99.376

99.291(±0.57)

0.10

 

Figure 5: Predicted versus observed response for (a) DT (b) (WT) (c) (Q5m)

 


Stability study:

The formulation was evaluated for all the physical parameters like WT, DT and Q5m. The results are mentioned below Table IX., found no significant difference in the parameters.

 

Table 5: Stability Study

S. No

DAYS

DT(s)

WT(s)

Q5m (%)

1

00

19.94

18.18

95.92

2

30

21.14

20.05

95.54

 

Antidepressant activity:

The antidepressant properties of optimized formulation, escitalopram, and imipramine were investigated by the observation of alterations in the immobility duration in the Forced Swim Test (FST). When compared to the control group animals that were given only the vehicle and significantly reduced (p<0.01) the immobility duration in both TST and FST.

 

Table 6: Effect of optimized batch on immobility time in Forced swim test

Treatment

Dose (mg/kg)

FST duration of immobility (s)

Control

 

135.46 ±0.6

Escitalopram

4

57.65 ±5.13

Imipramine

4

60.51±3.20

Optimized formulation

400mcg/kg

44.76±3.11

 

CONCLUSION:

The optimized batch of Fast Dissolving Tablets (FDT) was successfully formulated using both sublimating and direct compressed tablet processes. The manifold advantages of FDT are expected to significantly enhance patient compliance, dosage convenience, rapid onset of action, fast disintegration, minimal side effects, and good stability. The formation of a porous tablet is a critical objective in FDT formulation to improve water uptake capacity, facilitating rapid disintegration. Tablets containing highly swellable Lepidium sativum seed mucilage (LSSM) disintegrant exhibited high porosity, albeit with the highest wetting time (WT) and disintegration time (DT). This suggests that a systematic formulation approach can lead to reaching an optimum point efficiently. The sublimation technique emerged as an effective alternative approach compared to using other expensive adjuvants in FDT formulation.

 

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Received on 21.01.2024           Modified on 08.05.2024

Accepted on 29.07.2024          © RJPT All right reserved

Research J. Pharm. and Tech 2024; 17(11):5584-5590.

DOI: 10.52711/0974-360X.2024.00852