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Drug Design Development & Therapy

Research Article Volume 2 Issue 5

Xylometazoline nasal spray solution: novel composition used for treatment of nasal congestion

Falgun Bhuva, Patel LD

Faculty of Pharmacy, Dharamsinh Desai University, India

Correspondence: Falgun Bhuva, Faculty of Pharmacy, Dharamsinh Desai University, India, Tel + 912-68 2-520-502

Received: July 19, 2018 | Published: September 5, 2018

Citation: Bhuva F, Patel LD. Xylometazoline nasal spray solution: novel composition used for treatment of nasal congestion. MOJ Drug Des Develop Ther. 2018;2(5):246-256. DOI: 10.15406/mojddt.2018.02.00054

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Abstract

The preliminary objective of the work is to develop the meter dose formulation of xylometazoline hydrochloride for enhanced effectiveness for nasal decongestion. The 32 factorial design was utilized for development of the formulation, where sodium cholate (X1) and Polyethyleneglycol 400 concentration (X2) were independent factors. The optimized formulation composition consisted of 0.1g sodium cholate and 1.5ml Polyethyleneglycol 400 independent varibales. The formulation was evaluated for solution parameters like assay, pH, viscosity, % diffusion, sterility, content uniformity, pump delivery, spray pattern, and weight loss. The percentage diffusion and viscosity was observed 81.00±2.00% and 24.33±0.57 centipoise respectively. The meter dose nasal formulation provides alternative option for treatment of nasal decongestion which showed comparable results to marketed formulation.

Keywords: nasal decongestion, meter dose formulation, xylometazoline hydrochloride, polyethylene glycol 400, sodium cholate

Abbreviations

PEG400, polyethylene glycol 400; US, United States; Sodium CMC, Sodium carboxy methyl cellulose; USP, United States Pharmacopoeia; RH, Relative Humidity; Cp, centipoise

Introduction

The oral delivery of drug is the most common route for the drug administration owing to the advantage of ease of administration. The failure of adequate absorption through the gastrointestinal tract leads to explore the other alternate routes of drug delivery for desired therapeutic effect. For overcoming the limitations of conventional drug delivery system, the new drug delivery systems have been developed to suffice the need of healthcare profession. The pharmaceutical arena is constantly hunting for novel drug delivery system that can overwhelmed the existing drug delivery issues.1,2 Nose is one of the delicate organs of the body and due to which nasal drug delivery is challenge for the pharma formulator. Nasal route of administration would also thwart the presystemic metabolism thus intensifying the bioavailability of the drugs.3 The nasal drug delivery is the unique route for inhibiting drug degradation from first pass metabolism. Relatively large surface is available for the nasal route which is highly vascularized along with the leaky epithelium and may deliver the drug directly to brain.4 Nasal drug delivery system offers lucrative way of drug delivery for topical and systemic therapy. The systemic delivery of drug molecules by nasal route offers advantages like high permeability, vasculature and low enzymatic environment. Allergic rhinitis or sinusitis has one of the main indications as nasal congestion, which is related to enlargement of blood vessels and contracting of nasal passages. The continuous invent of new excipients, and in‒situ gelling agent in pharma industry may increase the novel formulation of nasal drug delivery systems.5 Drug substance like xylometazoline, which is of imidazole class, act on alpha‒adrenergic receptors of nasal mucosal arterioles leading to decrease of blood flow. Thus reducing the swelling of nasal turbinate’s, relating to amplification of nasal lumen.6 Various excipients are used in novel drug delivery system with aim of taking specific roles in drug delivery system such as carriers, bioavailability enhancers, masking of taste, stabilizer, solubilizer etc. In recent days, various natural as well as synthetic polymers are widely used in nasal drug delivery.7 Xylometazoline solution is administered though nasal cavity, to achieve relief from nasal congestion, which is common to adults and children during cold and monsoon seasonal changes. The present work was carried out with thought to develop nasal spray of Xylometazoline hydrochloride by utilization of sodium cholate to enhance dug diffusion and PEG400 to impart viscosity to provide enhanced drug delivery. The meter dose spray formulation helps to deliver known amount of formulation.

Drug–excipients compatibility study

The drug–excipient compatibility studies were carried out with Sodium cholate, Sodium carboxymethyl cellulose, PEG400, and Methyl Paraben. As per the study, the samples were evaluated for physical observations for appearance, color change and assay. Xylometazoline was found to be stable in presence of excipients Supplementary Table 1.

Independent variables and their levels (Adult Dose Nasal Formulation)

Level

Independent Variables

X1=Content of Sodium Cholate (g)

X2=Content of PEG 400 (ml)

‒1(low level)

0.05

1

0 (Medium Level)

0.1

1.5

+1 (High level)

0.15

2

Table 1 Independent variables and their levels (Adult Dose Nasal Formulation)

Materials and methods

Xylometazoline HCl was procured from Anish Chemicals, Gujarat, India. Sodium cholate was purchased from National Chemicals Pvt. Ltd, Vadodara, India. PEG 400 sample was donated by Sigma Aldrich, USA. Methyl Paraben was obtained from S.D. Fine Chem. Ltd, Mumbai, India and Sodium carboxymethyl cellulose was obtained from Amar cellulose industries, Gujarat, India. The container closure system was obtained from Aptar Pharma, Mumbai, India Supplementary Table 2

Composition of factorial design batches for adult dose nasal formulations*

Batch

X1, Sodium Cholate Content (gm)

X2, PEG 400 Content (ml)

X1

X2

FA1

0.05

1

‒1

‒1

FA2

0.1

1

0

‒1

FA3

0.15

1

1

‒1

FA4

0.05

1.5

‒1

0

FA5

0.1

1.5

0

0

FA6

0.15

1.5

1

0

FA7

0.05

2

‒1

1

FA8

0.1

2

0

1

FA9

0.15

2

1

1

Table 2 Composition of factorial design batches for adult dose nasal formulation

* Each factorial design batch contained 10mg of xylometazoline, 0.01g of Na CMC, 0.25ml of Glycerin, 0.0033g Methyl Paraben, q.s. of NaCl, and volume was made with purified water to 10ml.

Method

Preparation of Xylometazoline HCl nasal solution:

The drug substance contained nasal solution was developed by sequential mixing of various excipients as shown in Figure 1.

Figure 1 Method of preparation of nasal solution.

Experimental design

A 3 level 2 factors factorial design (32) was adopted using concentration of sodium cholate (X1) and PEG 400 (X2) as independent variables for formulation development of xylometazoline solution. (Stat‒Ease Design Expert®, v 9). The levels of independent variables were designated as depicted in Table 1 and all the batches were formulated conferring to experimental design. (As per Table 2) The batches were then assessed for different parameters.

Equation 1 below demonstrations the polynomial equation for 32 experimental design.

Where Y = dependent variable

β0 = Intercept (arithmetic mean of all the batches) runs,

β1 = estimated coefficient for the factor X1.

β2 = Estimated coefficient for the factor X2

β12 = Estimated coefficient of the interaction between X1 and X2

Evaluation parameters of formulation

Appearance and clarity

The formulated solutions were evaluated as in‒house test for appearance (color) as well as their clarity. The color and clarity were visually examined against black and white surface in inspection booth Table 3.8

Results of responses of 32 factorial design of xylometazoline nasal solution

Parameter: → Batch* ↓

% Diffusion at 10minutes [Y1]

Viscosity (cp) [Y2]

FA1

75.33±0.57

19.00±1.00

FA2

80.33±0.57

20.33±0.57

FA3

81.00±1.73

20.33±1.52

FA4

72.33±1.52

22.33±1.15

FA5

81.00±2.00

24.33±0.57

FA6

82.66±1.15

23.33±0.57

FA7

70.33±0.57

25.33±0.57

FA8

78.33±1.52

25.66±0.57

FA9

90.66±0.57

26.00±0.00

Table 3 Results of responses of 32 factorial design of xylometazoline nasal solution

Drug content

The drug substance in formulated nasal solution was evaluated by the method reported in the USP product monograph. 9 The amount of xylometazoline hydrochloride in mg per mL of the nasal solution was calculated by the formula stated in equation 2:

Where, C is the concentration, in μg per mL, in the standard preparation,

V is the volume, in mL of nasal solution,

AU is the absorbance of the solution for the assay preparation

AS is the absorbance of the solution from the standard preparation

pH

The pH of the nasal formulation have crucial role to endure normal physiological ciliary movement. All prepared formulations were measured in triplicate for pH using by digital pH meter and average value was considered. The model pH range of nasal formulations was in range of 6.5±0.3.10‒12

Viscosity

Viscosity has impact on the residence time of formulation, which is directly related to rate of drug absorption through nasal mucosa. The viscosity of the prepared solution was measured through Brookfield Viscometer (Spindle no S18 at 100rpm) (Brookfield Viscometer, Model no LVDL‒2T, Dolphine instrument, Mumbai).8

Spray content uniformity

The spray content uniformity as important parameter for nasal spray, was studied to investigate the spray discharged from the nosepiece for the drug substance content. The examination was carried out for multiple spray form single container and in different container for the same. This test will determine an overall performance evaluation of the formulated batch, which will assess the pump selection. The acceptance criteria was nominated as the amount of drug substance not outside of 80‒120percent of label claim for more than 1 of 10containers, none of the determinations is outside of 75–125percent of the label claim, and the mean is not outside of 85‒115percent of label claim.13,14

Pump delivery

The pump delivery as well as spray content uniformity are related constraints implicating substantial effect on the product enactment. The formulation was evaluated for pump‒to‒pump reproducibility and the metering capability of the pump. The formulation was filled into the container closure, which was further actuated for 10times in a pre‒weighed bottle. The weight of the bottle was reweighed after 10 actuations and the difference was calculated.8

Spray pattern

The charactarization of spray is the pathway through which the performance of the pump and the nozzle of container closure system need to be evaluated. In the evaluation of the spray pattern, the spray distance between the nose‒ piece and the collection surface, orientation of the nose‒piece, and visualization procedure are specified. Spray Pattern of prepared nasal spray formulation was measured by the SprayVIEW system (Proveris Scientific Cooperation, USA) furnished with the SprayVIEW automated pump actuation system. The parameters of spray pattern assessment are height at 30mm, evacuation time 15000millisecond, inclination as 65.40 and summation mode as automatic.13,14

Weight loss

The regulatory guildeline published by EMEA and FDA for nasal products indicated that the weight loss is critical parameters that determines the product performance and stability. Inverted and Horizontal positions (i.e. both the orientations plays significant role in weight loss) were kept for the drug product storage to assess this characteristic. The net content of formulation in the container closure system was determined as per USP chapter <755> and it is essentially to be in accordance with the predefined specification.9,13,15

Priming and repriming

The first priming essentially to demonstrate the minimum amount of drug released from the product, while repriming shows the ability of product to delivery same amount of drug content after storage of product. The length of storage for conducting the study is defined as 5, 10 and 30days. The number of actuations are determined that are required for priming until the subsequent doses meet the specification limits (80‒120% label claim). The number of actuations are determined that are required for re‒priming up to the subsequent doses meets the specification limits.9,14

In‒vitro diffusion study

The In‒vitro diffusion study was performed using the Franz diffusion cell. The recently isolated sheep nasal mucosa, was obtained from a local slaughter house. The nasal mucosa was seperated and sunken in phosphate buffer (along with aeration) for safeguarding the tissue. Thel mucosa was attached on diffusion chamber with the mucosal side facing the donor phase. The doner medium comprised of formulation, while the receptor medium comprised of phosphate buffer. The temperature of the medium was maintained at 37oC±1oC. The receptor medium was refilled with the equivalent volume of the fresh solution as the samples withdrawn. The samples were then analyzed spectrophotometrically at a wavelength of 265nm against blank. The obtained results were compared with the current marketed formulation Otrivin® (Novartis).16,17,18

Droplet size distribution

The in‒vivo deposition of the formulation in cavity is affected by droplet size analysis of the formulation spray. The major factor that influences the droplet size is the delivery device and the formulation. The USFDA guideline for nasal aqueous spray formulation states that there must be appropriate control for droplet size distribution of the delivered plume. The droplet size distribution can be controlled in terms of D10, D50, and D90 by utilization of laser diffraction.19,20

Sterility

Sterility is one of the most mandetory requirement for nasal preparation. The support for the test is that at fortunate conditions (temperature as well as nutrition) the microorganisms will grow, which can be recognized by turbidity in the medium. The method used was as per USP general chapter sterilitiy tests <71>.21

Stability study

The stability studies was executed for long term study at 25±2°C/60±5% RH in the period of 0, 3, 6, 9 and 12months, while for accelerated study was evaluated at 40±2°C/75±5% RH in the period of 0,3 and 6months.22

Results and discussion

Preliminary trials and composition of nasal formulation

The preliminary formulation trials were designed for the selection of surfactant concentration, and co‒solvent amount. The preliminary parameters like clarity, pH, drug content, % diffusion at 10minutes and viscosity were optimized by varying one parameter at a time, while keeping the others constant, so that the effect of varied parameter could be evaluated. Eskandar Moghimipour et al. investigated bile salts as absorption improving agents for nasal delivery.23 The bile salt absorption improvement pathway consist of membrane protein or lipid extraction, fluidization of membrane, reverse micelle production within membrane thus generating aqueous networks. Higher concentrations of bile salts, points towards membrane lipids extraction forming micelles, augmenting transcellular movement. Sodium Cholate is an exceptional bile salt, which is widely considered candidate of bile salt family. Polyethylene glycol (PEG) is a polymer of prime for drug delivery. With various preliminary trials the concentration range for sodium cholate was finalized as 0.05gm‒0.15gm, while that of PEG400 as 1.0ml‒2.0ml Figure 4.

Experimental design

Nasal Solution was developed by utilizing 32 factorial design. As per the design layout, all the nine possible experimental trials were performed. These batches were assessed using polynomial equation of design. Moreover, two check point baches were confirmatory for validation of design of experiment. The assessment tests consisted for appearance, pH, viscosity, assay and % diffusion at 10minutes factorial batches. However, by shifting the level of independent variables sodium cholate (X1) and PEG 400 (X2), the % diffusion at 10minutes and viscosity displayed differences, henceforward they were defined as dependent parameters. The polynomial equation was obtained by regression analysis of the results of % diffusion at 10minutes for 32 factorial design batches by equation 3:

Diff. at 10 mins ( Y1 )= 79.4444+6.0555Χ1+0.4444Χ2 +3.6667Χ1Χ2  1.1667 ( X1 )2 +0.6667( X2 )2 MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqk0=Mr0xXdbba91rFfpec8Eeeu0xXdbba9frFj0=OqFf ea0dXdd9vqai=hGuQ8kuc9pgc9q8qqaq=dir=f0=yqaiVgFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqcLbsaqaaaaa aaaaWdbiaabwcacaqGGcGaamiraiaadMgacaWGMbGaamOzaiaac6ca caqGGcGaamyyaiaadshacaqGGcGaaGymaiaaicdacaqGGcGaamyBai aadMgacaWGUbGaam4CaiaabckakmaabmaapaqaaKqzGeWdbiaadMfa caaIXaaakiaawIcacaGLPaaajugibiabg2da9iaabckacaaI3aGaaG yoaiaac6cacaaI0aGaaGinaiaaisdacaaI0aGaey4kaSIaaGOnaiaa c6cacaaIWaGaaGynaiaaiwdacaaI1aaccaGae83fIOIaeu4PdmKaaG ymaiabgUcaRiaaicdacaGGUaGaaGinaiaaisdacaaI0aGaaGinaiab =DHiQiabfE6adjaaikdacaqGGcGaey4kaSIaaG4maiaac6cacaaI2a GaaGOnaiaaiAdacaaI3aGae83fIOIaeu4PdmKaaGymaiab=DHiQiab fE6adjaaikdacaqGGcGaaeiOaiaaigdacaGGUaGaaGymaiaaiAdaca aI2aGaaG4naiaabckakmaabmaapaqaaKqzGeWdbiaadIfacaaIXaaa kiaawIcacaGLPaaajugibiaaikdacaqGGcGaey4kaSIaaGimaiaac6 cacaaI2aGaaGOnaiaaiAdacaaI3aGcdaqadaWdaeaajugib8qacaWG ybGaaGOmaaGccaGLOaGaayzkaaqcLbsacaaIYaaaaa@8BE5@

Among the independent variables, X1 had more positive effect (β1= 6.0555) on % diffusion at 10minutes. The X2 variable had very minor effect (β2= 0.4444), while the interaction between X1 and X2 showed positive impact on % diffusion at 10minutes (β12= 3.6666). Sodium cholate as an excipient exhibited prominent impact on % diffusion at ten minutes. The data of model summary statistic for % diffusion at 10minutes (Y1) clearly suggest the quadratic model shows better suitability as compared to other statistic models. The Table 4 displays the independent variables impact on the percentage diffusion at 10minutes. The data obtained reveals that the p‒value <0.05 stating that the factor has significant impact on dependent parameter. Hence conclusion can be derived that the both independent variables (Sodium cholate and PEG 400) have substantial impact on diffusion rate on formulation.

ANOVA for % Diffusion at 10minutes

Source

Sum of squares

df

Mean square

F value

P‒value prob>F

Coefficient

Model

278.59

5

55.71

11.87

0.0343 (significant)           ‒

Intercept[(β0)]             ‒

79.4444

Sodium cholate [(β1)]

219.98

1

219.98

46.85

0.0064

6.0555

PEG 400[(β2)]

1.18

1

1.18

0.25

0.6498

0.4444

 [(β12)]

53.73

1

53.73

11.44

0.0429

3.6667

 [(β1)2]

2.73

1

2.73

0.58

0.5016

‒1.1667

[(β2)2]

0.89

1

0.89

0.19

0.6927

0.6667

Residual

14.07

3

4.69

Cor Total

292.66

8

Table 4 ANOVA for response diffusion at 10minutes

The polynomial equation 4 was obtained by regression analysis of the results of viscosity for 32 factorial design batches as below:

Viscosity ( Y2 )=23.8148+0.5000*Χ1+2.8889*Χ2  0.1667*X1*X2  0.7222( X1 )2  0.5556( X2 )2 MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqk0=Mr0xXdbba91rFfpec8Eeeu0xXdbba9frFj0=OqFf ea0dXdd9vqai=hGuQ8kuc9pgc9q8qqaq=dir=f0=yqaiVgFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaqcLbsaqaaaaa aaaaWdbiaadAfacaWGPbGaam4CaiaadogacaWGVbGaam4CaiaadMga caWG0bGaamyEaiaabckakmaabmaapaqaaKqzGeWdbiaadMfacaaIYa aakiaawIcacaGLPaaajugibiabg2da9iaaikdacaaIZaGaaiOlaiaa iIdacaaIXaGaaGinaiaaiIdacqGHRaWkcaaIWaGaaiOlaiaaiwdaca aIWaGaaGimaiaaicdacaqGQaGaeu4PdmKaaGymaiabgUcaRiaaikda caGGUaGaaGioaiaaiIdacaaI4aGaaGyoaiaabQcacqqHNoWqcaaIYa GaaeiOaiaabckacaaIWaGaaiOlaiaaigdacaaI2aGaaGOnaiaaiEda caqGQaGaamiwaiaaigdacaqGQaGaamiwaiaaikdacaqGGcGaaeiOai aaicdacaGGUaGaaG4naiaaikdacaaIYaGaaGOmaOWaaeWaa8aabaqc LbsapeGaamiwaiaaigdaaOGaayjkaiaawMcaaKqzGeGaaGOmaiaabc kacaqGGcGaaGimaiaac6cacaaI1aGaaGynaiaaiwdacaaI2aGcdaqa daWdaeaajugib8qacaWGybGaaGOmaaGccaGLOaGaayzkaaqcLbsaca aIYaaaaa@7FC8@

It is also observed that sodium cholate (X1) and PEG 400 (X2) substantially impact the viscosity of formulation. The quadratic model shows the enhanced fitting related to other models. The influences of independent factors were as evaluated as displayed in Table 5. The independent variable X2, had prominent positive effect (β2=2.8889) on viscosity, while the X1 variable had very minor impact (β1= 0.5000) on viscosity. The changing of factor (PEG 400) X2 from ‒1 to +1 showed the viscosity change from 20cp to 25cps. The creation was performed for contour and surface plot for viscosity. The Table 6 displayed the percentage error observed between the experimental value and the predicted value of various experimental batches. The % bias value of diffusion at 10minutes was found in the range of ‒4.83% to 4.12% and the % bias value for viscosity was found in the range of ‒1.87% to 2.13%. The percentage bias/error for both the variables were found below 5%, which endorsed the model selected was successfull to predict the response of the experimental design. The summary of the results of regression analysis of batches of xylometazoline nasal solution for full and reduced model was provided in Table 7.

ANOVA for response viscosity

Source

Sum of squares

df

Mean square

F value

p‒value prob>F

Coefficient

Model

53.34

5

10.66

42.5

0.0055 (significant)            ‒

Intercept[(β0)]          ‒

23.8148

Sodium cholate [(β1)]

1.5

1

1.5

5.94

0.0928

0.5

PEG 400[(β2)]

50.05

1

50.05

198.1

0.0008

2.8889

 [(β12)]

0.11

1

0.11

0.43

0.5584

‒ .1667

 [(β1)2]

1.04

1

1.04

4.1

0.1359

‒ .7222

[(β2)2]

0.62

1

0.62

2.44

0.2163

‒ .5556

Residual

0.75

3

0.25

Cor Total

54.09

8

Table 5 ANOVA for response viscosity

Percentage bias for experimental batches

Batch No.

Composition of sodium cholate

Composition of PEG

Calculated value of diff.

Exp value of diff

% Bias for diff.

Calculated value of vsc.

Exp value of vis.

% Bias for visc.

FA1

‒1

‒1

78.44

75.33

4.12

18.98

19

0.1

FA2

0

‒1

79.66

80.33

0.83

20.37

20.33

‒0.15

FA3

1

‒1

83.22

81

2.74

20.31

20.31

0.09

FA4

‒1

0

74.55

72.33

0.15

22.59

22.33

‒1.16

FA5

0

0

79.44

81

3.06

23.81

24.33

2.13

FA6

1

0

86.66

82.66

‒4.83

23.59

23.33

‒1.11

FA7

‒1

1

71.99

70.33

2.37

25.09

25.33

0.98

FA8

0

1

80.55

78.33

‒2.83

26.14

25.66

‒1.87

FA9

1

1

91.44

90.66

‒0.86

25.75

26

0.96

Table 6 Percentage bias for experimental batches

Summary of the results of regression analysis of batches of xylometazoline nasal solution for factorial design

Response

Model

β0

β1

Β2

β11

β22

β12

R2

% Diff. at 10 mins.

Full

79.4444

6.0556

0.4444

‒1.1667

0.6667

3.6667

0.9518

Reduced

79.1111

6.0556

0.4444

3.6667

0.9395

Viscosity

Full

23.8148

0.5

2.8889

‒0.7222

‒0.5556

‒0.1667

0.9859

Reduced

22.9629

0.5

2.8889

0.9533

Constraints for selection of optimized formulation

Diffusion

Limit

Diffusion at 2.5minutes

% diffusion between 16 to 18%

Diffusion at 5minutes

% diffusion between 35 to 40%

Diffusion at 10minutes

% diffusion between 80 to 85%

Diffusion at 15minutes

% diffusion between 90 to 95%

Table 7 Summary of the results of regression analysis of batches of xylometazoline nasal solution for factorial design and constraints for selection of optimized formulation

Optimization of experimental design

The design of experimental model was supplementarily authenticated by two check point batches. The verification for % diffusion and viscosity of checkpoint batches was accomplished by utilizing mathematics equation (3,4). The Table 8 portrays the results for check point batches for % diffusion at 10minutes and viscosity. The contour and surface response plots were as shown in the Figure 2. The optimization nasal solution was selected on the basis of the arbitrary constraints for the factorial design batches stated in Table 7. The optimized formulation contained sodium cholate 0.12g (1.2 % w/v) and PEG 400 1.5mL (15 % v/v) displayed in Table 9. This formulation (batch FA5) displayed values for % diffusion at 10min and viscosity are 81,00 % and 24.33cps respectively. The comparision of in‒ vitro diffusion results between otrivin and batch FA5 is revealed in Figure 4, indicating that the optimized formulation demonstrating comparable % diffusion at 10minutes Supplimentary Table 2.

Figure 2 Contour and Response Surfacr Plots for % Diffusion and viscosity.

Figure 3 Spray pattern, Image Actuation Graph and Intensity Graph of formulation.

Figure 4 In‒vitro diffusion comparison of marketed formulation and optimized batch.

Check point batches results for dependent variables with % bias

 

Sr. No.

Conc. of sodium cholate

Conc. of PEG 400

Diffusion at 10min (%)

Viscosity (cp)

 

Actual

Predicted

% Bias

Actual

Predicted

% Bias

1

‒0.4

‒0.2

77.3

77.43

‒0.16

22.6

22.88

‒1.23

2

0.4

‒0.6

81.3

81.14

0.19

21.3

22

‒3.28

Table 8 Check point batches results for dependent variables with % bias

Results of optimized batch composition (FA5) and market product

Ingredients         

Composition

Xylometazoline HCl

10mg

Sodium Cholate

0.1g

PEG400

1.5ml

Sodium CMC

0.01g

Glycerin

0.25ml

Methyl Paraben

0.0033g

NaCl

qs

Purified Water

qs to 10ml

Parameters

Market product (B. No: 30848M)

Optimized batch (B. No: FA5)

Assay ( % w/w)

98.74±0.83

99.69±0.38

Clarity

Clear Solution

Clear Solution

pH of solution

6.50±0.0

6.50±0.0

Drug diffusion

74.3±0.57

81.00±2.00

Viscosity

5.33±0.57

24.33±0.57

Table 9 Results of optimized batch composition (FA5) and arket product

Other evaluation parameters

pH

The formulation pH for factorial design batches was found in the range of 6.50±0.3 showing better compatibility at the delivery site.

Spray content uniformity

The formulations must be assessed in its relationships of emitted dose content uniformity. The performance evaluation of system by assessing the formulation, valve and the actuator is observed by Regulatory bodies like FDA as the control of content uniformity. The Table 10 data indicated the drug substance content sprayed within same container and among the different containers. The results are in the range of 94‒102%, which passes the test bestowing to guidelines for nasal products.

Drug substance content among different containers

Sr. No

Batch no

C1*

C2*

C3*

1

FA5

96%

94%

101%

Drug substance content among same containers

Sr. No

Batch No

S1#

S2#

S3#

1

FA5

98%

97%

102%

Table 10 Drug substance content among different containers and same containers

* indicates different containers labelled C1, C2 and C3 used for Spray content test.
# indicates different sprays (S1, S2 and S3)

Pump delivery

The apposite performance from pump is fundamentally required for accurate delivery of drug to targeted part. The specific dose constantly is delivered by the pump is assurance by this test. The paking material along with the pump was acquired from Aptar Pharma. The initial weight of filled nasal spray was 15g. The final weight of spray system was found the 15g after 10 actuations, with the actuation volume for each spray as 100μl. The data indicated that the packaging system was able to delivery precise amount of the drug substance.

Spray pattern

The pumping performance can be estimated with the help of spray pattern test. This test could be impacted by factors such as the size and shape of the nozzle of pump, the design of the pump, the formulation characteristics etc. The ovality attained was 1.217, while perimeter and area were found to be 104.56mm and 791.5mm2 respectively. Image actuation graph, along with intensity graph for the formulation are as presented in Figure 3. The figure endorses that the pump delivered the required medication appropriately without any concerns.

Weight loss

The FDA guideline for nasal sprays clearly state that the weight loss study must be performed considering the worst case scenario for orientation of container closure. Thus the formulation was stored in both i.e. inverted and horizontal position. Net content in the product container closure was checked initially, while weight loss study was performed for stability time points of 3 and 6months. As shown in Table 10, the results indicated that there was no any change for weight loss study demonstrating the reliability of packaging components.

Priming and repriming study

Priming study

These studies were executed to support the number of actuations to be suggested which essentially to be fired to discarded prior to the end user using the product for the first time and subsequent use afterwards. The priming study was performed on formulation nasal spray and the results obtained were 97.6% and 98.5% respectively for first actuation. This study referenced that only one actuation requirement as priming since the results obtained were higher than 95% Table 11.

Inverted position for net content and weight loss evaluation

Sr. No

Batch No

Container

Initial Wt

Wt after 3 months

Wt after 6 months

1

FA5

1

15gms

15gms

15gms

2

FA5

2

15gms

15gms

15gms

Horizontal position for net content and weight loss evaluation

1

FA5

1

15gms

15gms

15gms

2

FA5

2

15gms

15gms

15gms

Table 11 Inverted and horizontal position for net content and weight loss evaluation

Repriming study

Repriming study results at 5days, 10days and 30days are as shown in Table 12. The least value for repriming within 5, 10 and 30days was obtained to be 95.4% while the extreme value acquired was 100.2%. It was concluded that one actuation was satisfactory for repriming.

Repriming study for 5 days

Cont. No.

Duration

Repriming

No of actuations

Assay results

1

5d

Yes

1

95.40%

2

5d

Yes

1

99.70%

Repriming study for 10 days

1

10d

Yes

1

100.20%

2

10d

Yes

1

96.80%

Repriming study for 30days

1

30 d

Yes

1

98.50%

2

30 d

Yes

1

99.40%

Table 12 Repriming study for 5, 10 and 30 days

Droplet size dstribution

The droplet size study was performed based on laser diffraction method. The instrument used was automatatic nasal actuator (Malvern Instruments,UK) further assembled onto spraytech. The droplet size distribution was carried out for five containers labelled C1 to C5, where each container was actuated at 6cm distance from orifice of actuator. Single scan was used for performing droplet size distribution at fully developed spray stable phase. The results of median droplet size (D50) mean from 6cm actuation distance are shown in Table 13. The D50 value was obatined in the range of 52.42 to 66.60µm for different containers.

Results for droplet size (D50) analysis

Container number

D50 value (μm)

1

66.60±3.78

2

61.63±4.72

3

52.42±2.97

4

56.59±3.19

5

57.77±3.63

Table 13 Results for Droplet size (D50) distribution

Sterility

The sterility of the optimized formulation (batch number: FA5) was carried out according to USP criteria. The sterility test showed no microbial growth, which indicated that the formulation was sterile.

Stability studies

The stability of optimized nasal formulation (Batch FA5) was conceded at 25±2ºC/60±5% RH for 12months and accelerated condition studies were performed at 40±2oC/75±5% RH for 6months. The results were displayed in Table 14. All the results related to stability studies were found well within the acceptance criteria without any significant change comparing initial results. During and at the completion of the stability study (accelerated and long term), the Batch number FA5 disclosed drug content comparable to original results. Batch number FA5 also demonstrated the sensible appearance, pH, in vitro diffusion, viscosity and sterility at the completion of the stability study. 

Long Term stability study results at 25±2oC/ 60±5% RH

Specifications

Initial (0m)

At 3months

At 6months

At 9months

At 12months

Appearance

Clear solution

Clear solution

Clear solution

Clear solution

Clear solution

pH

6.50±0.0

6.40±0.0

6.5±0.0

6.53±0.05

6.50±0.0

Viscosity (cp)

99.7±0.38

99.3±0.75

99.40±0.76

99.07±1.23

98.60±0.83

Assay (%)

81.00±2.00

81.66±1.52

80.66±1.52

83.33±0.57

82.66±0.57

% diffusion

24.33±0.57

24.33±0.57

23.33±0.57

24.33±0.57

24.00±1.00

Net content*

10ml

‒‒

‒‒

‒‒

10ml

Sterility*

meets the requirement

‒‒

‒‒

meets the requirement

Accelerated stability study results at 40±2oC/ 75±5% RH

Specifications

Initial (0m)

At 3months

At 6months

Appearance

Clear solution

Clear solution

Clear solution

pH

6.50±0.0

6.53±0.05

6.50±0.0

Viscosity (cp)

99.7±0.38

100.44±0.46

99.16±0.35

Assay (%)

81.00±2.00

80.66±0.57

83.33±1.15

% diffusion

24.33±0.57

24.66±0.57

24.33±0.57

Net content*

10ml

‒‒

10ml

Sterility*

meets the requirement

‒‒

meets the requirement

Table 14 Stability study results for optimized formulation

Conclusion

The study evidenced utilization of factorial design pathway towards development of solution formulation. The pre‒ formulation study was supported for drug substance xylometazoline. The drug‒ excipient compatibility study designated no interaction between xylometazoline and the excipients. The 32 full factorial design was utilized, where sodium cholate (X1) and PEG400 (X2) were earmarked as independent factors. The formulation was evaluated for solution parameters like drug content, pH, viscosity, % diffusion, sterility, spray content uniformity, pump delivery, spray pattern, and weight loss. The percentage diffusion and viscosity was observed 81.00±2.00 % and 24.33±0.57 centipoise respectively. For spray pattern, the ovality attained was 1.217, while perimeter and area were found to be 104.56mm and 791.5mm2 respectively. The D50 value was obatined in the range of 52.42 to 66.60µm for different containers. The formulation was evaluated for its stability up to 12months at long term conditions and found satisfactory. The formulated batch FA5 showed comparable performance for in‒vitro drug release with marketed product thus providing auxiliary option for treatment of nasal congestion Figure 5.

Figure 5 Pictorial abstract.

Summary

  1. The current study proved implementation of factorial design approach for development solution type of nasal formulation.
  2. The formulation was evaluated for solution parameters like drug content, pH, viscosity, %diffusion, sterility and spray evaluation paramaters like spray content uniformity, pump delivery, spray pattern, and weight loss.
  3. The nasal spray formulation displays comparable performance for in‒ vitro drug release compared with current marketed drops formulation

Acknowledgements

We are thankful to those who have directly or indirectly helped us in the research and make it possible. We are extremely thankful to Anish chemicals, Gujarat for providing drug substance xylometazoline hydrochloride. We are also extremely thankful to Aptar pharma for providing container closure system.

Conflicts of interest

 The author declares that there is no conflict of interest.

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