Multivariate Calibration Technique for the Spectrophotometric Quantification of Rasagiline in Bulk drug and Pharmaceutical Formulations
Naveena Rani D., Kokilambigai K. S.*, Lakshmi K. S.
Department of Pharmaceutical Analysis, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur – 603203, Tamil Nadu, India.
*Corresponding Author E-mail: kokilampharm@gmail.com
ABSTRACT:
The study aims to establish an accurate, sensitive, simple and validated Ultra violet (UV) spectrophotometric technique using multilinear regression technique for the evaluation of Rasagiline in the bulk drug and pharmaceutical dosage form. Multivariate calibration technique is established on the basis of the linear regression equations by the use of correlation among the absorbance and concentration at five various wavelength. The λmax of Rasagiline was at 215 nm. The outcomes were treated statistically. A linear plot was obtained in the concentration range of 8-12 µg/mL and regression co-efficient was obtained to be 0.999. The percentage RSD for intraday and interday precision were observed to be 0.0409 and 0.0228 respectively. The percentage recovery was found to be in the range of 100.84 – 101.00 % w/w.
KEYWORDS: Rasagiline, Antiparkinson agent, UV spectrophotometer, Multivariate calibration, ICH guidelines.
INTRODUCTION:
Received on 13.07.2019 Modified on 10.09.2019
Accepted on 18.10.2019 © RJPT All right reserved
Research J. Pharm. and Tech 2020; 13(2):843-849.
DOI: 10.5958/0974-360X.2020.00159.6

Figure 1 Chemical strucutre of Rasagiline
The suggested technique is based totally on the direct evaluation of Rasagiline with a great degree of accuracy and precision. This technique is simple, with less cost and it can be applied to bulk drug and its formulations. Multivariate standardization method shows the shift of common single species analysis from one dependant variable to 'm' dependant variables. e.g. wavelengths or sensors, which can be concurrently comprised within the calibration model17-20.
Under the optimized circumstances, the applied analytical technique gives great resolving power, rapidity, sensitivity and low price for quantitative and regular analysis of an investing admixture.
If the absorbance of an analyte (X) Rasagiline in this case, is scanned at 5 wavelengths set (λ = 211, 213, 215, 217 and 219 nm), the subsequent equation can be written for any selected wavelength.
Aλ211 = a X Cx + k1 …………………..……………… (1)
Aλ213 = b X Cx + k2…………………..……………… (2)
Aλ215 = c X Cx + k3 …………………..……………… (3)
Aλ217 = d X Cx + k4 …………………..………………(4)
Aλ219 = e X Cx + k5 …………………..……………… (5)
Where, Aλ represents the absorbance of the analyte; a, b, c, d, e are the slopes of the linear regression functions of the analyte; k1, k2, k3, k4, k5 are the intercepts of the linear regression functions at the five selected wavelengths and Cx represents the concentration of the analyte. The above five equation systems (1-5) can be summarized as
AT = a x Cx + b x Cx + c x Cx + d x Cx + e x Cx + KT…...(6)
The above equation can be further simplified to
AT = Cx (a+b+c+d+e) + KT………………………….. (7)
Where AT and KT represents the sum of the absorbance obtained and the sum of intercepts of regression equations at five wavelength set respectively. The concentration of the analyte X in a solution can be computed by using the formula.
AT- KT
Cᵡ= ––––––––––––
(a+b+c+d+e)
MATERIALS AND METHODS:
Chemicals and solvents:
· Distilled H2O
· Analytical grade rasagiline was obtained as a gift sample from Ideal analytical and Research Institute production, Pondicherry. The marketed tablet formulation used was Azilect, Teva Pharmaceuticals, India, (Label claim - 10milligram rasagiline), procured from the local market.
Instrumentation:
· Perkin-Elmer UV-Visible double beam spectrophotometer Lambda 25
· Ultra Sonicator
· Analytical balance
Method development:
Solvent selection:
Rasagiline was freely soluble in distilled H2O. Hence it was used as a solvent to dissolve the standard drug and sample.
Preparation of standard stock solution:
The standard stock solution of Rasagiline was prepared by dissolving 100 mg of the reference drug in 50mL of distilled water and then finally made upto the mark in a 100 mL standard flask with the same solvent. Different concentrations (8-12µg/mL) of solution were prepared from this standard stock solution.
Determination of λmax:
About 1mL of the stock solution was pipetted into a 100 mL standard flask and diluted to the mark with distilled H2O to obtain a concentration of 10µg/mL. This solution was measured in the UV region from 200 - 400nm. The λmax was obtained as 215nm (Figure 2). The linear curve was obtained when the absorbance was plotted against the concentration (Table 1). The solutions were scanned across the range surrounding 215 nm i.e., 211, 213, 215, 217, 219 nm to enhance the correlation and to reduce the instrumental fluctuations.
Preparation of sample solution:
Accurately weigh and powder 20 tablets of Rasagiline and weight equivalent to 10mg was measured and dissolved in 10mL of distilled water to obtain 1mg/mL solution. This solution was filtered and used for further analysis.
Method Validation21:
According to ICH Q2B guidelines the technique was validated for sensitivity, accuracy, precision and linearity.
Linearity:
The different concentrations over the range of 8-12 µg/mL were prepared from the standard stock solution of Rasagiline. In order to minimize the instrumental fluctuations and to improve the correlation these solution were scanned over a range of wavelength surrounding its absorbance maxima. i.e. 211, 213, 215, 217, 219nm. The absorbances were recorded and the standardization graphs were obtained by plotting the concentration vs absorbance. (Figure 3, Table 1).
Table 1: Multivariate UV calibration obtained at five wavelengths
|
Conc (µg/ml) |
Absorbance |
||||
|
211 nm |
213 nm |
215 nm |
217 nm |
219 nm |
|
|
8 |
0.2549 |
0.2598 |
0.2648 |
0.2655 |
0.2348 |
|
9 |
0.2868 |
0.2942 |
0.2956 |
0.2969 |
0.2648 |
|
10 |
0.3188 |
0.3256 |
0.3285 |
0.3288 |
0.2898 |
|
11 |
0.3478 |
0.3589 |
0.3613 |
0.3596 |
0.3187 |
|
12 |
0.3818 |
0.3893 |
0.3942 |
0.3875 |
0.3477 |
By calculating the detection limit and quantification limit using the below formulae, the sensitivity of the method was determined.
LOD = 3.3 σ/S ……………………………………… (8)
LOQ = 10 σ /S............................................................. (9)
Where, σ is the standard deviation (SD) of the lowest concentration and
S is the slope of the standard curve.
Precision:
To assess the intraday and interday precision, 10µg/mL solution was scanned six times in a short interval of time in one day for intraday precision and on six different days for interday precision (Table 3 and 4).
Accuracy:
The recovery study of the suggested technique was resolved by standard addition method at 80%, 100% and 120%. The stock solution of standard and the sample was prepared. Pipette out 0.5mL of standard into a three standard flask and add the sample 0.3, 0.5, 0.7mL into the above volumetric flasks and make up to the volume of 10mL with distilled water. The solutions were measured under UV spectrometer and the percentage recovery was calculated.
Assay:
The absorbance of extracted tablet solution was recorded at 215nm and the amount present in the formulation was calculated as in Table.
RESULTS AND DISCUSSION:
The λmax of Rasagiline was obtained at 215 nm with distilled H2O as the solvent.
The technique was linear in the selected concentration range over 8-12µg/mL. The data from the linear regression analysis shows good linear relationship with R2=0.9999 for all the calibration plots. The equation for the linear regression is Y=0.0325x+0.0044. For precision, the % relative standard deviation was found to be 0.0409 and 0.0228. The LOD and LOQ obtained is 0.0760µg/mL and 0.2304µg/mL respectively. Therefore according to ICH guidelines each of the validation parameters were obtained to be within the limits.
Linearity:
The linearity was recorded at 211, 213, 215, 217 and 219nm in the concentration range 8-12µg/mL and it was shown in the Figure 3 and their calibration curves and residual plots were shown in Figures 4 to 8 & 9-13 respectively. At each of the wavelength the fewer values of standard deviation shows the technique was precise and the LOD and LOQ were calculated and reported in Table 2.
Table 2: Linearity data showing LOD and LOQ at all five wavelengths
|
Wavelength (nm) |
Regression equation |
R2 |
SD |
LOD (µg/mL) |
LOQ (µg/mL) |
% RSD |
|
211 |
Y=0.0315x+0.0032 |
0.9996 |
0.0011 |
0.1248 |
0.3784 |
0.3748 |
|
213 |
Y=0.0324x+0.0019 |
0.9996 |
0.0011 |
0.1176 |
0.3565 |
0.3548 |
|
215 |
Y=0.0325x+0.0044 |
0.9998 |
0.0007 |
0.0760 |
0.2304 |
0.2277 |
|
217 |
Y=0.0307x+0.0210 |
0.9994 |
0.0013 |
0.1500 |
0.4545 |
0.4259 |
|
219 |
Y=0.028x+0.01150 |
0.9993 |
0.0013 |
0.1546 |
0.4685 |
0.4505 |

Figure 2 UV spectrum of Rasagiline

Figure 3 UV spectrum showing linearity of Rasagiline at 215 nm

Figure 4 calibration curve at 211 nm Figure 9 Residual plot at 211 nm

Figure 5 Calibration curve at 213 nm Figure 10 Residual plot at 213 nm

Figure 6 Calibration curve at 215nm Figure 11 Residual plot at 215 nm

Figure 7 calibration curve at 217 nm Figure 12 Residual plot at 217 nm

Figure 8 Calibration curve at 219 nm Figure 13 Residual plot at 219 nm
Precision:
The lower value of standard deviation shows that the technique was specific and percentage RSD for the intraday and interday precision obtained were 0.0409 and 0.0228 respectively and it lies within the limit of value less than 2% at each wavelength. The low value of percentage relative standard deviation reveals the suggested technique was accurate and precise (Figure 14, 15).
Recovery:
As per ICH guidelines the % recovery of the Rasagiline was found to be in the range of 100.84 - 101.00 % w/w, it was well within limit of 97 - 103 % w/w (Figure 16, Table 5).

(a) (b)
Figure 14 UV spectra showing intraday precision (a) Morning (b) Evening


(a) (b)
Figure 15 UV spectra showing interday precision (a) Day 1 (b) Day 6
Table 5: Recovery Studies
|
Wavelength (nm) |
Amount present (µg/mL) |
Amount added (µg/mL) |
Absorbance |
Amount recovered (µg/mL) |
%Recovery |
|
211 |
5 |
3 |
0.2910 |
7.9825 |
99.78 |
|
5 |
0.3069 |
9.9839 |
99.83 |
||
|
7 |
0.3780 |
11.8756 |
98.96 |
||
|
213 |
5 |
3 |
0.3010 |
7.8979 |
98.72 |
|
5 |
0.3260 |
10.1258 |
101.25 |
||
|
7 |
0.3804 |
11.9895 |
99.91 |
||
|
215 |
5 |
3 |
0.3040 |
7.9892 |
99.86 |
|
5 |
0.3370 |
10.2310 |
102.31 |
||
|
7 |
0.3999 |
12.0571 |
100.47 |
||
|
217 |
5 |
3 |
0.2210 |
7.9836 |
99.79 |
|
5 |
0.3050 |
9.9597 |
99.59 |
||
|
7 |
0.3760 |
11.9896 |
99.91 |
||
|
219 |
5 |
3 |
0.1463 |
7.9546 |
99.43 |
|
5 |
0.3020 |
9.9951 |
99.95 |
||
|
7 |
0.3580 |
12.1502 |
101.25 |

Figure 16 UV Spectrum showing accuracy of Rasagiline
Table 6: Assay of Rasagiline
|
Label claim (mg) |
Amount estimated (mg) |
% Assay |
|
10 |
9.99 |
99.9 |
|
10 |
9.98 |
99.8 |
|
10 |
10.01 |
100.1 |
|
Average |
99.93 |
|
|
SD |
0.1528 |
|
|
% RSD |
0.1529 |
Assay:
The absorbance of the tablet formulation was documented at 215nm. The amount and assay percentage was found to be 9.99 mg and 99.93 % w/w with a % RSD value of as in Table 6.
CONCLUSION:
The newly developed method was evidenced to be accurate, specific, sensitive and reproducible for the evaluation of Rasagiline in its pharmaceutical formulation by multilinear regression technique. The method was validated using various validation parameters and are obtained to be within the limits according to ICH guidelines. This method is a simple working procedure as comparable to the expensive techniques like HPLC, and therefore, it can be employed for regular analysis of Rasagiline in bulk drug and pharmaceutical formulations.
LIST OF SYMBOLS/ABBREVIATIONS:
nm = Nanometer
μg/mL = Microgram per millilitre
ICH = International Conference on Harmonization
UV = Ultraviolet
g/mol = Gram per Mole
BBB = Blood Brain Barrier
GIT = Gastro Intestinal Tract
HPLC = High Performance Liquid Chromatography
HPTLC=High Performance Thin Layer Chromatography
LC/MS = Liquid chromatography-Mass spectrometry
M = Molar
CONFLICTS OF INTEREST:
The authors report NO conflict of interest on the study.
ACKNOWLEDGEMENT:
The authors are thankful to the Chancellor, SRM Institute of Science and Technology, and the management of SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur for carrying out the this research work.
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