Research Article - (2014) Volume 5, Issue 9

Taguchi and Quadratic via Chromogenic Design Methodology: A Better to Best Estimation Process (Tizanidine Hcl) Bulk/Pharmaceutical

Vikash Kumar1, Kamal Dua2, Sushila Rathee1 and Permender Rathee3*
1P. D. Memorial College of Pharmacy, Sarai Aurangabad, Bahadurharh, India
2Department of Pharma Technology, School of Pharmacy, International Medical University, Malaysia
3Quantum Solutions India, Rajiv Gandhi Technology Park, Chandigarh, India
*Corresponding Author: Permender Rathee, Quantum Solutions India, Rajiv Gandhi Technology Park, Chandigarh, India, Tel: 0172 221757 Email:

Abstract

A finest quantitative responsive with reproducible best method was developed using designed array (Taguchi) and Quadratic design methodology (RSM) chromomeric spectrophotometric estimation of bulk as well as pharmaceutical (Tizanidine HCl). Initially (Taguchi), orthogonal array design was applied to find significant variables as well as optimum (better) levels. By response surface (central composite; quadratic) methodology were used to ascertain optimum to optimized “Better to Best” and studied values of variables (independent significant; X1=PDAB=chromogenic reagent; FeCl3=X2=ferric ion at optimum levels with drug constant=X3) responses (dependent Y1=absorbance) models at positive and negative (+1/-1 optimum spaces) levels. More-more, designed independent factorial levels “better to best” surface models (3D) and its polynomial (2nd order) equation was predicted the finest level which further can be considered as best chromomeric estimation method. The models analysis of experimental variables and their level showed and followed good Beer’s (5-50 μg/ml) correlation at optimized significant independent best (finest) level variables and in-addition validated using pharmaceutical guidelines (ICH; international conference on harmonization) for human use.

Introduction

An carbocyclic hydrochloride derivative of Tizanidine (muscle relaxant; 5-Chloro-N-4,5-dihydro-1H-imidazol-2-yl-2,1,3- benzothiadiazol-4-amine i.e.) which inhibited spinal reflex transmission via supra-spinal effects as a agonist (α2-adrenergic). Also, having analgesic (pain relief) effects but non-steroidal anti-inflammatory drugs have also as one another effect i.e. gastro-protective. During literature, alicyclic amines (pyrrole/indole) condensed with p-dimethyl-aminobenzaldehyde (PDAB in strongly acidic medium and oxidized by ferric ions to give colored species/products including Schiff bases) derivatives as chromogenic agent alone via factorial designs were used for estimation/determination [1-3]. Although, there is no method was used non-factorial (quadratic design) with chromogenic or without. So, our research objective was developed plus validated a sensitive method using array Taguchi and quadratic (factorial independent; central composite) response surface design via chromomeric attempt for best estimation spectrophotometer methodology [4-7]. All experimental (orthogonal array) results of array (orthogonal) trials responses were interpreted to find significant variables and optimum levels (chromomeric reagents and ferric ion additional with different temperature, pH, and time for reaction stability. More-over, an independent (quadratic) factorial design of significant variables with optimum (positive and negative space level) was performed and further studied their interactive effects. To designed better to Best level (nondependent); three-dimensional surface (3D plots) models constructed to preeminent (and also validated) fitted level of variables which can be considered as “Best level” for quantitative (Tizanidine HCl) estimation.

Materials and Methods

The procured chemicals and reagents were (Lobachemicals Ltd. and S. D. Finechem Ltd, Mumbai) p-dimethyl-aminobenzaldehyde chromogenic (PDAB), Ferric ions (Ferric Chloride) and acid (HCl). For study, independent variables (X1, X2, and X3) analytical (A/GR 200 Precision, Anakek Services, Mumbai) weight has been taken and made required concentrated solutions using distilled water of abode production. The standard of active pharmaceutical ingredients (drug; Tizanidine HCl) derivative, Tizan and Sirdalud (2.288 mg; both) was obtained from M/S Jackson Pharmaceuticals Pvt. Ltd., Amritsar (Punjab) and market drug formulation from Sun Pharma and Novartis (Mumbai) respectively as gift sample. The hydrogen ion concentration (pH meter; Aminco, Swastika, Ambala) and UV-Visible Double- Beam [spectral bandwidth (1.8 nm) with wavelength accuracy (2 nm) and optical path of quartz cells length (10 mm) (SL 160, Elico, Hyderabad) spectrophotometer at fixed wavelength was used through-out for analytical analysis as quantitative as absorbance measurement.

Solutions

The obtained gift sample (Tizanidine HCl; 10 mg) was taken and dissolved in distilled water to acquired (100 μg/ml) desired concentration., chromomeric (PDAB; 1% w/v) solution was prepared and diluted by using hydrochloric (50% v/v) and aqueous ferric ion (1% v/v; ferric chloride) solution and further used analytical determination as quantitative.

Methodology

A statistical (Mini-Tab, version 17.0) quadratic response surface [7,8] non-factorial methodology was used for design independent variables and spaces (levels). The diverse generated trials (experimentally T-1 to 20; Table 1) levels were additional diluted with distilled water for made the volumetric (25 ml) finally. After that finally obtained volumes (25 ml) of significant variables (A and B) solutions were heated at different temperatures (40-80oC), pH (1 to 6) and time (5 to 60 min) and measured the absorbance against blank (λmax 425 nm; Figure 1). Before performed experimentally, again generated (BB1 to 13; Table 2) runs but using significant level of variables at positive and negative optimum space (+1 to -1; better to best) level and analyzed their responses (experimental vs predicted; Table 2) model fitness to find out the variables level as best.

pharmaceutica-analytica-acta-complex-stability

Figure 1: Plots for optimization a) Temperature; b) pH; c) pH d) reaction time for complex stability vs absorbance.

Design Trials Levels (ml) Absorbance
PDAB reagent Ferric Chloride At λmax 425 nm
T-1 1 1 0.233
T-2 2 2 0.252
T-3 3 3 0.276
T-4 1 4 0.291
T-5 2 1 0.312
T-6 3 2 0.326
T-7 4 3 0.335
T-8 5 4 0.348
T-9 6 5 0.352*
T-10 4 6 0.355*
T-11 5 7 0.356*
T-12 6 8 0.349*
T-13 7 5 0.347
T-14 8 6 0.341
T-15 9 7 0.338
T-16 7 8 0.331
T-17 8 9 0.324
T-18 9 10 0.320
T-19 10 9 0.317
T-20 10 10 0.315
Aristech (*) value indicated the significant variable (better) optimum level response

Table 1: Generated Array Trials At Diverse Levels (1 To 10).

Code=variables (Unit)  “better to best” Independent (Space=Coded) Levels
X1=PDAB(ml) 4.00 (-1=1) 5.00 (0=2) 6.00 (+1=3)
X2= FeCl3 (ml) 5.00 (-1=1) 6.00 (0=2) 7.00 (+1=3)
Dependant Constraints
Y1 = Absorbance 0.56≤Y­1≥0.71
Design Results
Runs-Code Variables
Independent Dependent (Y1) Response (R1)
X1 X2 Observed Predicted
BB-1 1.00 1.00 0.665 0.670
BB-2 2.00 1.00 0.571 0.570
BB-3 3.00 1.00 0.601 0.600
BB-4 1.00 2.00 0.640 0.640
BB-5 1.00 3.00 0.592 0.590
BB-6 2.00 3.00 0.581 0.580
BB-7 3.00 2.00 0.658 0.660
BB-8 2.00 2.00 0.586 0.590
BB-9 2.00 2.00 0.590 0.590
BB-10 2.00 1.00 0.564 0.570
BB-11 2.00 2.00 0.590 0.590
BB-12 2.00 2.00 0.589 0.590
BB-13 3.00 3.00 0.705 0.700
Surface Design (3D) Best Model
Terms Model X1 X2 X1X2 X12 X22 Lack of Fit
F value 383.4 63.4 33.40 691.65 1061.8 37.20 1.70
Intercept 0.59 0.011 0.0076 0.0445 0.064 -0.012  
p. value (Prob>F) 0.0001 0.0007 . < 0.0001 < 0.0001 0.0005 0.3040
R-Square Adjusted R2 Predicted R2 Std. Dev %CV
0.996 0.994 0.982 0.0035 0.67
F-value Less than 0.0500 indicate model terms are significant and Lack of fit value Greater than 0.1000 indicate the model terms are not significant

Table 2: Result Of Quadratic Design Methodology.

Model and analysis

The orthogonal array was used to find out optimum (better) level of significant variables which further used as independent (quadratic design i.e. response surface methodology explored and developed) level for an improved program). By data (Absorbance=R1) analyzed at optimum (better) to find optimized (best) levels were simultaneously. Also, illustrated designed surface (3D) models and independently factorial generated equation were included all statistically coefficients of each level responses (Table 2) for “better to best” model fitness as best-fitted.

Calibration curve

The solutions (2 ml; Tizanidine hydrochloride) were pipette out and added chromogenic [PDAB (4 ml) followed by ferric ion solution (6 ml) as significant; 10 ml)] agent and further diluted to made optimized (best; 5-50 μg/ml) concentration with distilled water. The resulted of significant variables solutions were sonicated (15 min) subsequently heated at optimum temperature (60-65oC) at time (20 minutes) and measured the absorbance (at 425 nm; pH 2) against the blank. The calibration curve was constructed by plotted the graph between absorbance and concentration (absorbance vs μg/ml) and showed better linearity with well coefficient of correlation (Figures 2 and 3).

pharmaceutica-analytica-acta-Linear-correlation

Figure 2: Linear correlation plots between actual and predicted values.

pharmaceutica-analytica-acta-surface-models

Figure 3: 3Dsurface models showed the levels (better to best) effect on response (Y1).

Method of Estimation

For the quantitative analysis, model drug derivative (tizanidine hydrochloride) in bulk and tablets [2.288 mg drug; Tizan (Sun-Pharma) and Sirdalud (Novartis)] were procured from the market, weighed (20 tablets of each brand) and powdered. The drug powdered was accurately weighed (10 mg equivalent for both the brands), transferred to flasks (volumetric; I and II) added distilled water (25 ml) then sonicated (15 min.) and finally distilled water was added to make-up the volume (up-to 100 ml) of both flask contained solution. The volumetric flask (I and II) solutions were filtered (Whatman filter paper no. 40). The sample solutions were prepared from [flask (I and II)] stock solution by appropriate dilutions and significant variable with optimized level to get desired concentrations with-in the Beer’s law range limits and measured the absorbance against blank at 425 nm (λmax).

Recovery and validation

At this study carried-out, using (API 1, 2 and 3 mg of drug and tablet) powder containing the equivalent to (10 mg drug) weight. After that, the methodology found amount was calculated the recovery (%) and intra/inter-day precision (%) relative standard deviation [9,10] analysis to be satisfactory or not

Result and Discussion

The chromogenic agent (PDAB) was selected (followed by dissolved in acid in the presence of ferric chloride) due to reagent [3] promising for the successful estimation of drugs having fused heterocyclic ring (Tizanidine HCl structure having indole heterocyclic moiety) in acid medium (Scheme 1).

pharmaceutica-analytica-acta-Better-Best

Scheme 1: Better to Best (Level) Method.

Design and surface methodology

A statistical program design (after found-out the variable significant and its optimum level; Table 1) independent methodology application without restrain of factorial/fractional factorial design was used. The significant variables optimum level optimized “better to best” (central composite) by surface design (RSM) and also, generated the equation of designed models and equation. Further, the optimized level of significant variables (PDAB=X1; Ferric ion=X2) fitted to best model with positive (1) and negative (-1) space value of response (Y1 experimental with predicted; Figure 2). Resulting, quadratic “better to best” design model optimized variables level was found (Table 2) for development of an optimized significant method of quantitative estimation/determination in bulk/pharmaceutical.

Quadratic Equation

A second-order polynomial derived equation of significant variables response (R1) at optimized level was generated and the “better to best” model fitted proposed equation was as follows;

Y1=0.59+0.011X1-0.0075X2+0.0445X1X2+0.064X12-0.012X22

Where, Y1 is absorbance, X1 is PDAB-reagent, X2 is FeCl3.

The responses model proposed equation predicted R-square (0.982) found best fitted agreement with adjusted R-square (0.994; R-square 0.996) and measured a desirable signal to noise ratio (S/N>4 desirable) by adequate precision (adequate 53.38). Due to best fitted model “F-value” (383.4; there is only 0.01% chance to occurred a large noise) implied that the model is significant (“Lack of Fit” F-value 1.70 is not significant). Therefore this model can be used to navigate the design space (surface 3-D plots) as optimized best independent levels of significant variables (Table 2) effects on response (Y1). 3-D Analysis The dimensional models (optimized levels) response (Y1) plots have been demonstrated the significant optimized variables at independently level interaction effects individually or along together at same time (Figure 3) on the response (Y1). The probability value (Table 2) of indicated the model optimized level significant terms (X1, X2, X1X2, X12, X22) at negative space (level of X1 along with positive level space) had a more pronounced effect than any other optimum (better) levels. During model analysis, optimized “better to best” levels of variables (X1 and X2) were negative (-1=X1=4 ml and 5 ml) and positive (+1=X2=6 or 7 ml) ferric ions space as comparison Also, an improved (good correlation coefficient) effects showed by response (R1=absorbance at optimized level), therefore this model design space can be used to investigate its surface (3D plots) which showed the independent effect of optimized levels of significant variables as on response (Y1). Further-more, this model design of optimized of significant variables (X1 and X2) levels independent effect can be used for “better to best” quantitative estimation method.

The significant variables best fitted levels (X1=PDAB=4 ml followed by ion solution X2=FeCl3=6 ml) solutions into a volumetric flasks having drug solution (Tizanidine HCl=2 ml) were taken and finally made the volume with distilled water (25 ml). Further, the solutions were heated at optimal temperature (60-65oC for time 20 min at pH 2) for complete reaction and absorbance was measured against the blank at 425 nm wavelength (Table 3).

BRAND AMOUNT (mg) PERCENTAGE ± SD
Labeled Found Relative Labeled
Tizan 2.288 2.282 0.0763 99.74±0.0761
Sirdalud 2.281 0.0989 99.73±0.0986

Table 3: Estimation of tablet (Tizanidine Hydrochloride) dosage form.

Discussion and Conclusion

The best designed method has better absorptivity (4.717×103 liter/ mole/cm) along with superior’s sensitivity (Sand-ell’ per absorbance units is 0.0615 μg/cm2/0.001) and regression equation [y=0.0198×– 0.0673] showed better linearity with correlation coefficient (best fitted R-square value is 0.9964) as compared with existing method. During the intra (0.627) as well as inter-day (0.504) analysis has been found relative deviation (0.207) and quantitation (0.627) with-in limits and this higher recovery percentage indicated that there was no excipients interference. Further-more, indicated and concluded that the Taguchi array via Quadratic “independent” factorial designed chromomeric level (of better to best method) can be further considered as best for quantitative and quality reliable method of estimation.

Acknowledgements

The authors are thankful to Jackson Pharmaceutical Pvt. Ltd. (Amritsar) for providing model drug gift sample and grateful to Chairman/Management, PDMREA Group of Institution(s); P. D. Memorial College of Pharmacy, B’garh (India) India for facility and support.

References

Citation: Kumar V, Dua K, Rathee S, Rathee P (2014) Taguchi and Quadratic via Chromogenic Design Methodology: A Better to Best Estimation Process (Tizanidine Hcl) Bulk/Pharmaceutical. Pharm Anal Acta 5:319.

Copyright: © 2014 Kumar V, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.