Ph.D. viva voce presentation on Anti-diabetics and statins
1. DEVELOPMENT AND VALIDATION OF
NEW ANALYTICAL METHODS
FOR THE ESTIMATION OF
ANTI-DIABETICS AND STATINS
Ph.D. Viva-voce
By
Ms. K. Sravana Kumari, M.Pharm.,
Under the guidance of
Dr. B.Sailaja, M.Pharm., Ph.D.
Professor, IPT, SPMVV
Institute of Pharmaceutical Technology
SRI PADMAVATI MAHILA VISVAVIDYALAYAM
Tirupati, A.P.
17-09-2020
1
2. CONTENTS
Introduction
Review of Literature
Aim and Objectives
4a. UV Spectroscopic method for Rosuvastatin Calcium
4b. Colorimetric method for Rosuvastatin Calcium
4c. Stability Indicating RP-HPLC method for Rosuvastatin Calcium
4d. UV Spectroscopic method for Pitavastatin Calcium
5a. QbD enabled Stability indicating RP-HPLC method for
Empagliflozin 2
3. 3
5b. UV Spectroscopic method for Canagliflozin
6a. Stability indicating simultaneous RP-HPLC method for
Ertugliflozin Pidolate and Metformin Hydrochloride
6b. Stability indicating simultaneous RP-HPLC method for
Empagliflozin and Linagliptin
In-vitro Bioanalytical RP-HPLC method for Empagliflozin
Summary and Conclusion
References
List of Presentations and Publications
Acknowledgements
5. 5
In pharmaceutical industry, there is a need for the invention of suitable novel
analytical methods from time to time for testing the quality of
bulk drugs, excipients and formulations
Method development and validation is an integral part of drug discovery and
drug development
UV-Visible Spectroscopy and HPLC are the most popular techniques used for
the identification and estimation of drugs with good accuracy and precision
Simultaneous method development is useful for analysis of combination of
drugs [Rajashree Mashru et al., 2015]
6. 6
QbD approach helps to develop a more robust and cost-effective analytical
method by studying simultaneous influence of more than one variable on
method optimization [Ahuja and Scypinski, 2013]
Bioanalytical method development is used for the estimation of drugs and their
metabolites in various biological fluids like blood, urine, plasma, serum, saliva
and cerebrospinal fluid
Worldwide, around 463 million people are suffering from type-2 Diabetes
mellitus [International Diabetes Federation, 2019]
Type-2 Diabetes mellitus patients are at increased risk for Dyslipidemia
associated cardiovascular diseases
7. 7
Globally, about 1/3rd of ischemic heart disease and 1/5th of cerebro-vascular
disease are due to Dyslipidemia and equates to nearly 2.6 million deaths
[WHO global estimates, (2014)]
Statins are used for treating Dyslipidemia associated cardiovascular risk
Rosuvastatin Calcium (10 mg) and Pitavastatin Calcium (4 mg), effectively
reduces LDL cholesterol and triglyceride levels [Sharma and Sharma, 2017]
Empagliflozin, Ertugliflozin and Canagliflozin (SGLT-2 inhibitors), are widely
used for controlling plasma glucose levels with decreased cardio-vascular risk
[Ralston et al., 2018]
8. 8
Combination of Ertugliflozin with Metformin effectively reduces HbA1c levels in
chronic diabetic patients [FDA label, Segluromet, 2017]
Combination of Empagliflozin and Linagliptin [stimulates inactive beta cells]
exerts synergistic effect compared to mono-drug therapy [Katzung et al., 2015]
There will be always a need for the development and validation of novel
analytical methods for the estimation of drugs in bulk and dosage forms in order
to deliver good quality and affordable medicines to patients
9. 9
The present study was focused on the development and validation of novel
analytical techniques for the estimation of
Rosuvastatin Calcium by UV-Visible Spectroscopic and stability indicating
RP-HPLC methods
Pitavastatin Calcium by UV Spectroscopic method
Empagliflozin by RP-HPLC using QbD approach
Canagliflozin by UV Spectroscopic method
Simultaneous stability indicating RP-HPLC methods for Ertugliflozin and
Metformin and for Empagliflozin and Linagliptin in bulk and tablets
In-vitro bioanalytical method for Empagliflozin in human plasma by RP-HPLC
32. Aim:
To develop and validate new analytical methods for the estimation of selected
anti-diabetics and statins
Objectives:
To select anti-diabetic drugs and statin drugs
To select analytical methods to be developed
UV Spectroscopic method for Rosuvastatin Calcium
Colorimetric method for Rosuvastatin Calcium
Stability indicating RP-HPLC method for Rosuvastatin Calcium
UV Spectroscopic method for Pitavastatin Calcium
32
33. 33
QbD enabled stability indicating RP-HPLC method for Empagliflozin
UV Spectroscopic method for Canagliflozin
Stability indicating simultaneous RP-HPLC method for Ertugliflozin and
Metformin
Stability indicating simultaneous RP-HPLC method for Empagliflozin and
Linagliptin
In-vitro bioanalytical RP-HPLC method for Empagliflozin in human plasma
To validate the developed methods as per ICH Q2(R1) /USFDA guidelines
35. 4a. DEVELOPMENT AND VALIDATION OF
UV SPECTROSCOPIC METHOD
FOR THE DETERMINATION OF
ROSUVASTATIN CALCIUM IN BULK AND TABLETS
Rosuvastatin Calcium (10mg) - efficiently reduces LDL and triglycerides at
lower doses [Sharma et al., 2017]
The methods reported for the estimation of Rosuvastatin Calcium by
UV Spectroscopy are expensive as organic solvents are used as diluent
35
37. METHOD DEVELOPMENT [Gorog, 2011]: ROSUVASTATIN CALCIUM:
Diluent: 0.1N NaOH
Preparation of Standard stock solution-I of Rosuvastatin Calcium
[1000μg/ml]:
37
10 mg
Rosuvastatin
Calcium
+
5ml diluent
Sonicated for
10mins
+
made up to 10ml
1000μg/ml
Rosuvastatin
Calcium
Preparation of Standard stock solution-II of Rosuvastatin Calcium [100μg/ml]:
1.0ml standard
stock-I
Diluted to 10ml
with diluent
100μg/ml
Rosuvastatin Calcium
Preparation of working standard solution of Rosuvastatin Calcium [4μg/ml]:
0.4 ml
standard
stock-II
4μg/ml
Rosuvastatin
Calcium
Diluted to 10ml
with diluent
38. UV Spectrum of Rosuvastatin Calcium [λ max 240nm]
38
RESULTS AND DISCUSSION
43. 43
The present developed method was more sensitive and
cost-effective
Diluent: organic solvent → 0.1N NaOH
Linearity: [2-18 → 1-6 μg/ml]
LOD: [0.021 μg/ml]
LOQ: [0.0612 μg/ml]
44. 4b. DEVELOPMENT AND VALIDATION OF
COLORIMETRIC METHOD FOR THE DETERMINATION
OF ROSUVASTATIN CALCIUM IN BULK AND TABLETS
The reported methods are
Complex
Time consuming
Expensive - involves extraction of colored complex
44
45. METHOD DEVELOPMENT [Gorog, 2011]: ROSUVASTATIN CALCIUM
Diluent: Methanol
Preparation of 0.1M Ferric chloride [FeCl3] reagent
[IP, 2018]
Preparation of 0.5% w/v Potassium ferricyanide reagent
Preparation of Standard stock solution-I of Rosuvastatin Calcium
[1000μg/ml]:
45
10 mg
Rosuvastatin
Calcium
+
5ml diluent
Sonicated for
10mins
+
made up to 10ml
with diluent
1000μg/ml
Rosuvastatin Calcium
46. 46
Preparation of Standard stock solution-II of Rosuvastatin Calcium [100μg/ml]:
1.0ml standard
stock-I
Kept aside for
10mins
+
Diluted to
10ml
100μg/ml
Rosuvastatin Calcium
Preparation of working standard solution of Rosuvastatin Calcium [4μg/ml]:
0.4ml standard
stock-II
+
1.5 ml 0.1M FeCl3
+
1.0 ml 0.5%
Potassium
ferricyanide
Diluted to 10ml
with diluent
4μg/ml
Rosuvastatin Calcium
48. 48
The probable mechanism involved in the green colored
complex formation is
Reduction of ferric ion to ferrous ion by Rosuvastatin
Calcium
The reduced ferrous ion reacted with potassium ferri cyanide
and formed green colored Ferro-ferricyanide complex
[Vamsi Krishna and Gowrisankar, 2007]
3 Fe2+ + 2[Fe (CN) 6]3- Fe3 [Fe (CN)6]
52. 52
λ max 635 nm
Beer’s law limits 1-6μg/ml
Sandell’s sensitivity
[μg/ cm2- 0.001 absorbance units]
0.0147
Regression equation y = 0.058x + 0.005
Slope 0.058
Intercept 0.005
Correlation coefficient (R2) 0.999
% Recovery 99.24 – 100.34
% RSD
Intra-day Precision 0.774
Inter-day Precision 0.982
Limit of Detection 0.041 μg/ml
Limit of Quantitation 0.123 μg/ml
Mean % Assay
[IP, 2018 Limits: 90-110 %]
100.57 ±1.08
SUMMARY OF VALIDATION OF ROSUVASTATIN CALCIUM
53. 53
The developed method was simple, rapid, sensitive and cost-effective
compared to the best method reported
Involved no extraction of colored complex
Linearity: [100-500 → 1-6 μg/ml]
LOD: [0.041 μg/ml]
LOQ: [0.123 μg/ml]
54. 4c. DEVELOPMENT AND VALIDATION OF
STABILITY INDICATING RP-HPLC METHOD
FOR THE DETERMINATION OF
ROSUVASTATIN CALCIUM IN BULK AND TABLETS
The reported RP-HPLC methods are
Time consuming- Rt was more and phosphate buffer preparation
More volume of organic solvents
54
56. 56
10 mg
Rosuvastatin
Calcium
+
5 ml diluent
volume up to 10ml
+
filtered using 0.45µ
PTFE filter
1000µg/ml
Preparation of Standard stock solution-II of Rosuvastatin Calcium (100µg/ml):
1.0 ml standard
stock - I
Diluted to 10ml
with diluent
100µg/ml
METHOD DEVELOPMENT: [Snyder et al.,1997] ROSUVASTATIN CALCIUM
Diluent: HPLC grade water: ACN (1:1)
Preparation of Standard stock solution-I of Rosuvastatin Calcium
(1000µg/ml):
Preparation of Working standard solution of Rosuvastatin Calcium (8µg/ml):
0.8ml stock-II
Diluted to 10ml
with diluent
8µg/ml
57. 57
OPTIMIZED CHROMATOGRAPHIC CONDITIONS
Column Symmetry C18 (150mm x 4.6mm, 5m)
Mobile phase 0.1% OPA (pH 2.7) : ACN (55:45 % v/v)
Elution Isocratic
Flow rate 1.0 ml/min
Detector - λ max PDA (241 nm)
Column temperature 300C
Injection volume 10 μl
Diluent HPLC grade water : ACN [1:1]
Retention Time 2.872 mins
Run time 6.0 mins
75. 75
Parameter Result ICH Limits
System Suitability Parameters
% RSD of peak area – 0.402 NMT 2.0
Theoretical plates- 4537 MT 2000
Tailing factor-1.19 NMT 2.0
Range [μg/ml] 2-12 -
Correlation coefficient [R2] 0.999 NLT 0.999
% Recovery 100-101.25 98-102
% RSD
Intra-day Precision 0.8 NMT 2.0
Inter-day Precision 0.3 NMT 2.0
LOD [μg/ml] 0.013 -
LOQ [μg/ml] 0.042 -
Solution stability,
% Assay difference at 24 hrs
1.78 NMT 2.0
% Assay 99.76 ± 0.39 IP, 2018: 90-110
SUMMARY OF VALIDATION OF ROSUVASTATIN CALCIUM
76. 76
The developed RP-HPLC method was simple, sensitive and
cost-effective
Organic ratio in the mobile phase: [60 → 45%]
Retention time: [3.806 → 2.916 mins]
Run time: [12.0 → 6.0 mins]
Linearity range: [5-30 → 2-12 µg/ml]
LOD: [0.0441 → 0.013 µg/ml]
LOQ: [0.1434 → 0.042 µg/ml]
77. 4d. DEVELOPMENT AND VALIDATION OF
UV SPECTROSCOPIC METHOD FOR THE
DETERMINATION OF PITAVASTATIN CALCIUM
IN BULK AND TABLETS
Pitavastatin Calcium (4mg) - more efficiently lowers plasma LDL
cholesterol and triglycerides levels at lower doses
[Sharma et al., 2017]
The reported methods are expensive with use of organic solvents
77
78. 78
Structure
Molecular weight - 880.94 )Ca+2
Class Statins (HMG Co A reductase inhibitors)
pKa 4.13
Log P 6.13
Solubility freely soluble - pyridine, chloroform, dilute HCl,
tetrahydrofuran, soluble - ethylene glycol, sparingly
soluble - octanol, slightly soluble - methanol, water and
ethanol, practically insoluble - ACN and Diethyl ether
DRUG PROFILE: PITAVASTATIN CALCIUM
79. METHOD DEVELOPMENT [Gorog, 2011]: Diluent: Methanol: Distilled water (1:1)
Preparation of Standard stock solution-I of Pitavastatin Calcium [1000μg/ml]:
79
10 mg
Pitavastatin
Calcium
+
5ml diluent
Sonicated for
10mins
+
made up to 10ml
1000μg/ml
Pitavastatin Calcium
1.0ml standard
stock-I
+
5ml diluent
Diluted to 10ml
with diluent
100μg/ml
Pitavastatin Calcium
Preparation of Standard stock solution-II of Pitavastatin Calcium [100μg/ml]:
Preparation of working standard solution of Pitavastatin Calcium [8μg/ml]:
0.8ml standard
stock-II
Diluted to 10ml
with diluent
8μg/ml
Pitavastatin Calcium
80. UV SPECTRUM OF PITAVASTATIN CALCIUM (λ max - 245nm)
80
RESULTS AND DISCUSSION
85. 85
The developed method was
Cost-effective [Methanol → Methanol: Distilled water (1:1)]
LOD [ 0.4062 μg/ml → 0.103μg/ml]
LOQ [1.2309 μg/ml → 0.310μg/ml]
86. 5a. QbD ENABLED STABILITY INDICATING
RP-HPLC METHOD DEVELOPMENT AND VALIDATION
FOR THE ESTIMATION OF
EMPAGLIFLOZIN IN BULK AND TABLETS
Empagliflozin – effectively reduces plasma glucose levels with decreased
risk of cardio-vascular deaths and heart failure hospitalizations
[Ralston et al., 2018]
No methods reported using QbD approach for EMPA
86
87. 87
Structure
Molecular Weight - 450.91
Class SGLT-2 inhibitor
pKa 12.57
Log P 1.79
Solubility slightly soluble in ACN, ethanol, soluble in 50 %
ACN/water, sparingly soluble in methanol, very slightly
soluble in water and practically insoluble in toluene
DRUG PROFILE: EMPA
88. 88
10 mg EMPA
+
2ml diluent,
+
Sonicated for
10 mins
volume up to
10ml
+
filtered using
0.45 µ PTFE filter
1000µg/ml
EMPA
Preparation of standard stock solution-II of EMPA [100 µg/ml]:
1ml of standard
stock-I
Diluted to 10ml
with diluent
100µg/ml EMPA
METHOD DEVELOPMENT: [Gorog, 2011]: EMPA
Diluent: HPLC grade water: ACN (1:1)
Preparation of standard stock solution-I of EMPA [1000µg/ml]:
0.8ml of standard
stock-II 8µg/ml EMPA
Diluted to 10ml
with diluent
Preparation of working standard solution of EMPA [8µg/ml]:
89. 89
OPTIMIZED CHROMATOGRAPHIC CONDITIONS
Column Denali C18 (150mm x 4.6mm, 5m)
Mobile phase 0.1 % OPA [pH 2.7] : ACN (45:55 % v/v)
Elution Isocratic
Flow rate 1.0 ml/min
Detector - λ max PDA (223 nm)
Column temperature 300C
Injection volume 10 μl
Run time 5.0 mins
Diluent HPLC grade water: ACN [1:1]
90. 90
METHOD OPTIMIZATION USING DESIGN EXPERT® SOFTWARE
(Trial Version 10) [Federick and Alireza, 2011]:
Step 1: Analytical target Profile [ATP]:
ATP - bulk drug and tablet - Technique - RP-HPLC
Goal - To develop more robust RP-HPLC method with optimum
system suitability parameters and short analysis time
Target - To study the simultaneous influence of CMPs on CMAs
Step 2: Critical Quality Attributes:
CMPs - Buffer ratio in the mobile phase, Flow rate and Wavelength
CMAs - Retention time, Peak area and Tailing factor
91. 91
CMP -1 level 0 + 1 level
Buffer ratio in mobile phase [% v/v] 35 45 55
Flow rate [ml/min] 0.9 1.0 1.1
Wavelength [nm] 218 223 228
CMPS AND THEIR INPUT LEVELS
Step 3: Design of Experiments using Software:
Efficient experimental model was designed by
systematic and automated scouting of the three CMPs
For method scouting - software generated 20 trials
118. 118
Parameter Result ICH Limits
System Suitability Parameters
% RSD of peak area – 0.279 NMT 2.0
Theoretical plates- 5431 MT 2000
Tailing factor-1.16 NMT 2.0
Range [μg/ml] 2-12 -
Correlation coefficient [R2] 0.999 NLT 0.999
% Recovery 99.25-100.93
% RSD
Intra-day precision 0.21 NMT 1.0
Inter-day precision 0.513 NMT 2.0
LOD [μg/ml] 0.047 -
LOQ [μg/ml] 0.142 -
% Assay difference at 24 hrs 1.79 NMT 2.0
% Assay 99.42±0.17 98-102
SUMMARY OF VALIDATION OF EMPA
119. 119
Preliminary trial runs were performed for the identification of CMPs/Fs:
On initial optimization of the method,
0.1 % OPA (pH 2.7): ACN [45:55 % v/v] - ideal mobile phase
Increase in % aqueous ratio [% OPA buffer] in the mobile phase - resulted in
increase in Rt- CMP1/F1, change in flow rate affects the Rt -
CMP2/F2, Wavelength - CMP3/F3
Multivariate DoE approach using Central composite design - selected to
evaluate the simultaneous effect of selected CMPs/Fs on the selected CMAs/Rs
On the evaluation of the statistical data
Quadratic model was the best-fit model for the central composite design
120. 120
The R2 - signifies the percentage of variation for a dependent variable
(response) by independent variables (factors)
In the present study, the R2 - 0.9172 for CMA1/R1
- 0.3834 for CMA2/R2
- 0.6358 for CMA3/R3
Difference between the adjusted R2 and predicted R2 - more than 0.2 –
reflects large block effect of CMA1/R1 using the model
Negative Predicted R² for CMA2/R2 and CMA3/R3 - overall mean is a better
predictor of the response
The adequate precision for CMA1/R1 (13.16) and CMA2/R2 (5.75) were
greater than 4.0 - adequate signal and the model was suitable for navigating
design space
121. 121
From the contour plot 1, increase in % Aqueous ratio with constant Flow rate
and Wavelength increased the Rt
Contour plot 2 , decrease in Flow rate with constant % Aqueous ratio and
Wavelength has effect on Peak area
Contour plot 3, increase in Wavelength with constant
Peak area didn’t show significant effect on Retention time, Peak area and
Tailing factor
The normal plot of residuals for the three selected CMAs reflects that the data
points were distributed normally along the straight line and the error was
distributed equally across each individual point
122. 122
The equation used for predictions about the CMAs/Rs for the given levels of each
CMP:
RT = +2.58 + 1.30 x A-0.0629 x B + 0.0018 x C-0.0860 x AB + 0.0058 x AC +
0.0043 x BC + 0.7248 x A2-0.0348 x B2-0.0608 x C2
Area = + 9.402E + 05 – 22376.52 x A - 12819.56 x B - 38189.48 x C - 6939.63 x
AB - 6453.38 x AC + 4875.62 x BC + 24013.40 x A2 + 20514.99 x B2 - 70296.79
x C2
Tailing factor = + 1.22 – 0.0416 x A - 0.0023 x B + 0.00146 x C + 0.0000 x AB +
0.0000 x AC + 0.0001 x BC - 0.0181 x A2 - 0.01738 x B2 - 0.0004 x C2
Where A = Aqueous phase
B = Flow rate
C = Wavelength
123. 123
Central composite design was used to evaluate the simultaneous effect
of % Aqueous ratio in the mobile phase , Flow rate and Wavelength
(CMPs) on Rt, Peak area and Tailing factor (CMAs)
Sum of squares (-0.0860): The simultaneous decrease in % Aqueous
ratio in the mobile phase and Flow rate results in better retention time
Sum of squares: Indicates that the simultaneous change in Flow rate and
Wavelength, there was no change in Rt (+0.000115) and Tailing factor
(-0.0001) and less effect on Peak area (-0.0182)
124. 124
Sum of squares: Indicates that the simultaneous change in
% Buffer ratio in the mobile phase and Wavelength, there was no
change in Rt (+0.0085), Peak area and Tailing factor
No significant effect of wavelength on CMAs
% Buffer ratio in the mobile phase and Flow rate influenced Rt
The interactive effects of CMPs on tailing factor was insignificant
125. 125
COMPARISON AMONG CMPs AND CMAs OF INITIAL OPTIMIZED METHOD,
DOE DATAAND FINAL OPTIMIZED METHOD
CMP/F
CMPs
CMA/R
CMAs
Initial
optimized
method
Final optimized
Method (DOE Data)
Initial
optimized
method
DOE
data*
Final
optimized
method
Mobile
Phase
[% v/v]
0.1% OPA :
ACN
(45:55)
0.1% OPA : ACN
(39.57:60.43)
Rt [Mins] 2.629 2.04 2.05
Flow Rate
[ml/min]
1.0 0.961 Peak area 1028275 938311 953531
Wavelength
[nm]
223 218.5 Tailing factor 1.2 1.22 1.1
Comparison between reported non-QbD best method and present QbD method
Run time: 6.0 mins → 5.0 mins
Retention time: 4.81mins → 2.051mins
LOD : 0.3589 µg/ml → 0.047 µg/ml
LOQ: 1.0876 µg/ml → 0.142 µg/ml
126. 5b. DEVELOPMENT AND VALIDATION OF
UV SPECTROSCOPIC METHOD
FOR THE ESTIMATION OF CANAGLIFLOZIN
IN BULK AND TABLETS
Canagliflozin- reduced risk of cardio-vascular deaths and heart failure
hospitalizations in addition to the management of increased plasma
glucose levels [Ralston et al., 2018]
The UV Spectroscopic methods reported - expensive
126
127. 127
Structure
Molecular Weight – 453.53
½ H2O
Class SGLT-2 inhibitor
pKa 12.57
Log P 3.44
Solubility soluble in organic solvents like ethanol, methanol,
acetone and THF and insoluble in water
DRUG PROFILE: CANAGLIFLOZIN
128. METHOD DEVELOPMENT [Gorog, 2011]: CANAGLIFLOZIN
Diluent : Methanol and distilled water (1:1)
Preparation of Standard stock solution-I of Canagliflozin [1000μg/ml]:
128
10 mg
Canagliflozin
+
5ml diluent
Sonicated for
10mins
+
made up to
10ml
1000μg/ml
Canagliflozin
Preparation of Standard stock solution-II of Canagliflozin [100μg/ml]:
1.0ml standard
stock-I
Diluted to 10ml
with diluent
100μg/ml
Canagliflozin
Preparation of working standard solution of Canagliflozin [40μg/ml]:
4.0ml standard
stock-II
Diluted to 10ml
with diluent
40μg/ml Canagliflozin
129. 129
UV SPECTRUM OF CANAGLIFLOZIN [λ max – 224nm]
RESULTS AND DISCUSSION
134. 134
The developed UV Spectroscopic method was
simple and sensitive
Linearity : 10-60 μg/ml
LOD : 0.33 μg/ml
LOQ : 1.00 μg/ml
135. 6a. DEVELOPMENT AND VALIDATION OF
STABILITY INDICATING RP-HPLC METHOD FOR THE
SIMULTANEOUS DETERMINATION OF
ERTUGLIFLOZIN PIDOLATE AND METFORMIN HYDROCHLORIDE
IN BULK AND TABLETS
ERTU and MET combination - efficiently reduces elevated HbA1c
levels in type-2 diabetic patients [FDA label, Segluromet, 2017]
The RP-HPLC methods reported were
complex
involved high volumes of organic solvent in the mobile phase
135
136. 136
ERTU MET
Structure
.
HCl
Class SGLT-2 inhibitor Biguanide anti-diabetic
Molecular weight 566 165.62
pKa 11.98 12.33
Log P 2.21 -0.92
Solubility soluble in ethanol, sparingly
soluble in ethyl acetate, ACN
and very slightly soluble in water
freely soluble in water, sparingly
soluble in alcohol, practically
insoluble in acetone and
dichloromethane
DRUG PROFILE:
137. 137
3.75 mg ERTU
+
250 mg MET
+
10ml diluent
volume up to 100ml
+
filtered using 0.45 µ
PTFE filter
37.5µg/ml ERTU
2500 µg/ml MET
Preparation of working standard solution of ERTU [3.75µg/ml] and MET [250µg/ml]:
1ml of standard
stock
volume upto 10ml
with diluent
3.75µg/ml ERTU
250µg/ml MET
METHOD DEVELOPMENT: [Snyder et al., 1997]: ERTU AND MET
Diluent: HPLC grade water: ACN (1:1)
Preparation of standard stock solution of ERTU [37.5µg/ml] and MET
[2500µg/ml]:
138. OPTIMIZED CHROMATOGRAPHIC CONDITIONS
138
Column Kromasil C18 (150mm x4.6 mm, 5 µm)
Mobile phase 0.1% OPA [pH 2.7]: ACN (65:35 %v/v)
Elution Isocratic
Flow rate 1.0 ml/min
Detector and λ max PDA and 224.0 nm
Column temperature 30 ± 20C
Injection volume 10 µl
Diluent HPLC grade water : ACN [1:1]
Retention time
MET- 2.170 mins
ERTU- 2.929 mins
Run time 6.00 mins
158. 158
STABILITY OF STANDARD SOLUTION: 30 ± 20C for 24 hrs
ERTU
Time
[Hrs]
Peak areas* % Assay* Variation
0 98132 99.62 NA
12 97376 98.86 0.76
24 96418 97.88 1.74
* Average of six determinations
Time
[Hrs]
Peak areas* % Assay* Variation
0 5559487 99.96 NA
12 5509688 99.13 0.83
24 5475626 98.45 1.51
* Average of six determinations
MET
159. 159
Parameter
Modified
condition
% RSD of Peak
area [NMT 2.0 %]
Theoretical
Plates* N
[>2000]
Tailing factor*
[<2.0] Rs*
[>2.0]
ERTU MET ERTU MET ERTU MET
Flow rate
(1.0± 0.1 ml/min)
0.9 0.893 1.209 12959 10911 1.17 1.17 7.96
1.0 0.531 0.382 11679 9947 1.23 1.33 7.21
1.1 0.949 1.113 11564 9463 1.21 1.16 7.63
ACN ratio in
Mobile phase
Buffer: ACN
(35 ± 5 % v/v)
70 : 30 1.377 1.039 11949 11751 1.26 1.15 9.2
65 : 35 0.531 0.382 11679 9947 1.23 1.33 7.21
60 : 40 1.360 1.293 12741 9485 1.22 1.14 6.78
Temperature
(30 ± 50C)
25 0.912 1.278 13396 9470 1.14 1.20 7.03
30 0.531 0.382 11679 9947 1.23 1.33 7.21
35 0.574 0.993 13396 9516 1.21 1.17 7.01
* Mean of six determinations
ROBUSTNESS OF ERTU AND MET
162. 162
Parameter
Result
ICH Limits
MET ERTU
System
suitability
parameters
% RSD 0.382 0.531 NLT 2.0
Theoretical plates 9947 11679 MT 2000
Tailing Factor 1.25 1.23 NMT 2.0
Range [μg/ml] 62.5-375 0.9375-5.625 -
Linearity [R2] 0.999 0.999 NLT 0.999
% Recovery 99.11-101.13 99.27-100.60 98-102
% RSD
Intra-day Precision 0.42 0.25 NMT 1.0
Inter-day precision 0.56 0.70 NMT 2.0
LOD [μg/ml] 0.87 0.025 -
LOQ [μg/ml] 2.63 0.076 -
% Assay difference at 24 hrs 1.51 1.74 NMT 2.0
% Assay 99.48 99.31 -
SUMMARY OF VALIDATION OF ERTU AND MET
163. 163
The developed stability indicating RP-HPLC method was
Simple and more sensitive
Retention time : MET – 2.383 → 2.170mins
ERTU – 3.136 → 2.929mins
Linearity range : MET – 125-750 → 62.5- 375μg/ml
ERTU – 1.875 - 11.25 → 0.9375 – 5.625μg/ml
LOD : MET – 1.7 → 0.87μg/ml
ERTU – 0.07 → 0.025μg/ml
LOQ : MET – 5.16 → 2.63μg/ml
ERTU – 0.21 → 0.076μg/ml
164. 6b. DEVELOPMENT AND VALIDATION OF
STABILITY INDICATING ANALYTICAL METHOD
FOR THE SIMULTANEOUS DETERMINATION OF
EMPAGLIFLOZIN AND LINAGLIPTIN IN
BULK AND TABLETS BY RP-HPLC
SGLT-2 and DPP-4 inhibitors combination exerts
Synergistic effect
Better glycemic control in diabetic patients compared to mono-drug
therapy [Katzung et al., 2015]
The reported RP-HPLC methods
Involve use of high volume of organic solvents
164
165. 165
EMPA LINA
Structure
Class SGLT-2 inhibitor DPP-4 inhibitor
Molecular Weight 450.91 472.54
pKa 12.57 9.86
Log P 1.79 2.8
Solubility slightly soluble in ACN, ethanol,
soluble in 50 % ACN/water,
sparingly soluble in methanol,
very slightly soluble in water and
practically insoluble in toluene
very slightly soluble in water, soluble
in methanol, sparingly soluble in
ethanol, very slightly soluble in
isopropanol, and acetone
DRUG PROFILE: EMPAAND LINA
166. 166
10mg EMPA
+
5 mg LINA
+
5 ml diluent,
sonicated for
10 mins
volume upto 10ml
+
filtered using 0.45 µ
PTFE filter
100µg/ml EMPA
50 µg/ml LINA
Diluted to 10 ml with
diluent
Preparation of standard stock solution-II of EMPA [100µg/ml] and LINA [50µg/ml]:
1ml standard
stock -I
1000µg/ml EMPA
500 µg/ml LINA
METHOD DEVELOPMENT: [Snyder et al., 1997] EMPAAND LINA
Diluent: HPLC grade water and Methanol [1:1]
Preparation of standard stock solution-I of EMPA [1000µg/ml] and LINA
[500µg/ml]:
Preparation of Working standard solution EMPA [10 µg/ml] and LINA [5 µg/ml]
Diluted to 10 ml with
diluent
10 µg/ml EMPA
5 µg/ml LINA
1ml standard
stock -II
167. 167
OPTIMIZED CHROMATOGRAPHIC CONDITIONS
Column Ascentis C18 (150mm x4.6 mm, 5µm)
Mobile phase 0.1 % OPA [pH 2.7] : Methanol (35:65 % v/v)
Elution Isocratic
Flow rate 0.8 ml/min
Detector and λ max PDA and 220.0 nm
Column temperature 30°C
Injection volume 10 μl
Diluent HPLC grade water : Methanol [1:1]
Retention time (mins)
EMPA- 2.218
LINA- 2.531
Run time 5.00 mins
192. 192
The present developed RP-HPLC method was
More sensitive
Retention time : EMPA- 3.907 → 2.218mins
Run time : 10.0 → 5.0 mins
Linearity : EMPA – 10-50 → 2.5-15μg/ml
LINA – 20-100 → 1.25-7.5μg/ml
LOD : EMPA - 2.17 → 0.04μg/ml
LINA – 0.0372 → 0.02μg/ml
LOQ : EMPA – 6.60 → 0.13μg/ml
LINA – 0.112 → 0.07μg/ml
193. 193
7. DEVELOPMENT AND VALIDATION OF
IN-VITRO BIOANALYTICAL RP-HPLC METHOD
FOR THE ESTIMATION OF
EMPAGLIFLOZIN BULK DRUG
The reported in-vitro bioanalytical method by RP-HPLC is
Expensive – used only organic solvents as mobile phase and
diluent
More run time
194. 194
EMPA Dapagliflozin
(Internal Standard)
Structure
Molecular Weight 450.91 502.98
Class SGLT-2 inhibitor SGLT-2 inhibitor
pKa 12.57 12.57
Log P 1.79 2.52
Solubility Slightly soluble in ACN, ethanol,
soluble in 50 % ACN/water,
sparingly soluble in methanol, very
slightly soluble in water and
practically insoluble in toluene
soluble in ethanol, DMSO and DMF
DRUG PROFILE: EMPAAND DAPAGLIFLOZIN
195. 195
METHOD DEVELOPMENT:
Diluent: HPLC grade water: ACN (1:1)
Buffer [0.01N KH2PO4]: (IP, 2018)
Mobile phase [Buffer: ACN (65:35 % v/v)]:
Preparation of EMPA stock solution [75μg/ml]:
7.5 mg EMPA
+
20ml diluent
Sonicated for 10mins
+
made up to 100ml
filtered using 0.45μ
PTFE filter
75μg/ml
196. 196
Preparation of Internal Standard (IS) stock solution-I [100μg/ml]:
1.0 ml of stock-I
100μg/ml
filtered through
0.45μ PTFE filter
Sonicated for 10mins
+
made up to 100ml
10 mg IS
+
10ml diluent
Diluted to 10 ml with
diluent 10μg/ml
Preparation of Internal Standard (IS) stock solution-II [10μg/ml]
197. 197
Vol. of stock
[ml]
Final Vol. [ml]
Concentration
[μg/ml]
EMPA
Standard Solutions-
Codes
0.05 10.0 0.375 EMPA S 1
0.1 10.0 0.75 EMPA S 2
0.15 10.0 1.125 EMPA S 3
0.4 10.0 3.0 EMPA S 4
1.0 10.0 7.5 EMPA S 5
1.2 10.0 9.0 EMPA S 6
1.6 10.0 12.0 EMPA S 7
2.0 10.0 15.0 EMPA S 8
PREPARATION OF CALIBRATION CURVE STANDARD EMPA SOLUTIONS:
198. 198
EXTRACTION PROCEDURE:
plasma with
anti-coagulant,
K2EDTA
+
stored at -70°C
vortexed for
2 mins
+
1.0 ml Ethyl
acetate
vortexed for
2 mins
+
0.5 ml IS
stock-II
0.75 ml blank
plasma
+
0.25 ml EMPA
standard stock
thawed on
water bath
at 30±20C
vortexed for
2 mins
+
Left aside for
separation
centrifuged
in Cooling
centrifuge at
8000 rpm for
10 mins
separated
organic layer
evaporated to
dryness
199. 199
PREPARATION OF PLASMA SOLUTIONS OF EMPA [37.5-1500 ng/ml]:
0.25 ml each
standard
solution of
EMPA
+
0.75 ml plasma
0.5ml IS stock-II
+
1.0 ml ethyl
acetate
37.5-1500 ng/ml
Preparation of plasma spiked QC samples of EMPA:
0.25 ml each EMPA
standard solution
+
0.75 ml plasma
0.5 ml IS stock-II
+
1.0 ml ethyl acetate
37.5 ng/ml (LLOQ)
112.5 ng/ml (LQC)
750 ng/ml (MQC)
1200 ng/ml (HQC)
1500 ng/ml (ULOQ)
200. 200
Column Phenomenex C18 (250mm x 4.6 mm, 5m)
Mobile phase 0.01N KH2PO4 buffer (pH 3.0) : ACN (65:35 % v/v)
Elution Isocratic
Flow rate 1.0 ml/min
Detector - λ max PDA (220 nm)
Column temperature 300C
Injection volume 20 μl
Diluent HPLC grade water: ACN [1:1]
Run time 6.0 mins
OPTIMIZED CHROMATOGRAPHIC CONDITIONS FOR EMPA
209. 209
Analyte EMPA
Internal standard Dapagliflozin
Method RP-HPLC
Biological matrix Human plasma
Anti-coagulant K2 EDTA
Extraction method Liquid-liquid extraction
Linearity range 37.5-1500 ng/ml
Correlation Coefficient [R2] 0.99968
QC concentrations [ng/ml] LLOQ- 37.5
LQC- 112.5
MQC- 750
HQC- 1200
ULOQC- 1500
Accuracy
[% recovery]
Intra-day 99.27-100.05
Inter-day 99.72-99.90
Precision
[% CV]
Intra-day 0.44-9.82
Inter-day 0.48-7.15
Long term stability at -28± 50C HQC- 100.03
LQC- 98.39
Long term stability at -80± 50C HQC- 100.13
LQC- 99.27
Sensitivity
LLOQ
Accuracy 101.2
% CV 0.735
SUMMARY OF VALIDATION
210. 210
The developed in-vitro bioanalytical method for the estimation of
EMPA in human plasma was
Simple, rapid and cost-effective
Mobile Phase [ACN: Methanol (50:50 % v/v) →0.01N KH2PO4
buffer (pH 3.0): ACN (65:35 % v/v)]
Retention time [8.898 → 4.390 mins]
Run time [10.0 → 6.0 mins]
Linearity [50-150 → 37.5-1500 ng/ml]
212. 212
Methods developed – 9: Drugs selected – 7
Statin drugs – 2 : Rosuvastatin Calcium and Pitavastatin Calcium
Anti-diabetic drugs – 5: Empagliflozin, Canagliflozin,
Ertugliflozin, Metformin and Linagliptin
UV SPECTROSCOPIC METHODS COLORIMETRY
Diluent/
parameter
ROS-Ca PIT- Ca CANA ROS-Ca
Diluent 0.1 N NaOH
Methanol :
Distilled water
(1:1)
Methanol :
Distilled
water (1:1)
Methanol
Linearity
range, LOD,
LOQ
↓ ↓ ↓ ↓
SUMMARY
213. 213
Mobile Phase/
Parameter
ROS-Ca
Simultaneous estimation
ERTU MET EMPA LINA
Mobile Phase 0.1% OPA (pH 2.7) : ACN
(55:45 % v/v)
0.1% OPA (pH 2.7) :
ACN (65:35 % v/v)
0.1% OPA (pH 2.7) :
Methanol (35:65 % v/v)
Retention time, Run
time, Linearity range,
LOD, LOQ
↓ ↓ ↓
RP-HPLC METHODS
Mobile Phase/
Parameter
EMPA
QbD Approach Bioanalytical
Mobile phase 0.1% OPA (pH 2.7) : ACN (39.57:60.43 % v/v) 0.01N KH2PO4 buffer (pH 3.0) :
ACN (65:35 % v/v)
Retention time, Run
Time, Linearity range
↓ [LOD, LOQ] ↓
214. 214
CONCLUSION
The methods designed and developed being simple, sensitive
and cost-effective may be useful for the estimation of the
selected statins and anti-diabetic drugs in API and tablet
dosage form in academic institutions, research centers, small
scale industries and drug testing labs
215. 215
Ahuja S, and Scypinski S (2013): Handbook of Modern Pharmaceutical Analysis,
Massachusetts, Elsefveir, pp 4-449
Dwivedi J, Singhvi I, Vaya R, Kapadiya N, Mehta A, Jain V, Mahatma OP (2011):
Quantitative estimation of Rosuvastatin Calcium from tablet formulation by colorimetric
method using Cosneasie Brilliant Blue R Dye, Inventi Rapid - Pharm Analysis and Quality
Assurance, 198(11).
FDA Label: Merck & Co. Inc. SEGLUROMET™ (Ertugliflozin and Metformin
hydrochloride) tablets, for oral use Initial US Approval, (2017): Retrieved from
https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/209806s000lbl.pdf
Goodman L, Gilman A, Brunton L, and Chabner B, Knollmann B (2011): Goodman and
Gilman's the Pharmacological Basis of Therapeutics, 12th Edn: New York, McGraw-Hill, pp
892-1266
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216. 216
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218. 218
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Edn, New York, McGraw Hill Medical, pp 736-742
219. 219
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220. 220
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221. Presentations
1. Presented a poster entitled “Analytical Method Development and Validation
for the Estimation of Rosuvastatin Calcium in Raw Material and Tablet
Formulation by UV spectroscopy and RP-HPLC” in UGC Sponsored
National Conference (IPTCON-2017) on “Current Challenges In Drug
Discovery and Development” at SPMVV, Tirupati on 6th and 7th Feb, 2017
2. Presented a poster entitled “Analytical Method Development and Validation
for the Estimation of Canagliflozin in Bulk and Formulation by UV
Spectroscopic Method”, in DST CURIE Sponsored National Conference
(IPTCON-2018) on “Innovative Research Trends in Drug Discovery” at
SPMVV, Tirupati on 21, 22 March 2018
221
222. Publications
1. Published a paper entitled “Analytical Method Development and Validation
for Estimation of Dipeptidyl Peptidase-4 Inhibitors: A Review” B.Sailaja and
K.Sravana Kumari. International Journal of Current Research in Chemistry
and Pharmaceutical Sciences, 2(4), 2015, 83–98
2. Published a paper entitled “Analytical Method Development and Validation for
the Estimation of Rosuvastatin Calcium in Raw Material and Tablet
Formulation by UV Spectrometric Method” B.Sailaja and K.Sravana Kumari.
Saudi Journal of Medical and Pharmaceutical Sciences, 2(1), 2016, 7-11
222
223. 223
3. Published a paper entitled “Stability-indicating Method Development and
Validation for the Estimation of Rosuvastatin Calcium in Bulk and Tablet
Formulation by Reverse-phase High-performance Liquid Chromatography”
B.Sailaja and K.Sravana Kumari, Asian Journal of Pharmaceutical and
Clinical Research, 12(8), 2019, 251-256
Paper accepted for Publication:
4. “Development and Validation of Stability Indicating RP-HPLC Method for
the Simultaneous Determination of Ertugliflozin Pidolate and Metformin
Hydrochloride in bulk and tablets”
B.Sailaja and K.Sravana Kumari, Future Journal of Pharmaceutical Sciences
224. 224
I express my sincere thanks to Prof. R. Nagaraju, Dean (In charge), for his kind support
and encouragement
It is my privilege to thank Prof. G. Rajitha, BOS Chairperson, Institute of Pharmaceutical
Technology, SPMVV for her moral support during my Ph.D. work
I express my sincere thanks to Prof. Y. Indira Muzib, Head of the Department, Institute of
Pharmaceutical Technology, SPMVV for her support during the work
I take this opportunity to thank Prof. M. Ajitha, External examiner and other evaluators for
their valuable suggestions
I take this opportunity to express my gratitude to my research supervisor
Prof. B. Sailaja, for her guidance, valuable suggestions, incredible support, patience and
persistent creative encouragement through out my research work
ACKNOWLEDGEMENTS
225. 225
I owe a great debt of gratitude to Prof. K.V.S.R.G. Prasad,
Prof. K.Bharathi, Prof. Santh Rani Thakur,
Prof. B. Jeevana Jyothi, Prof. M. Vidyavathi, Prof. A. Sreedevi, Prof. S. Joshna Rani,
Associate Professors, Dr. K. Madhavi, Dr. B. Ramya Kuber and Dr.K.Swathi, Assistant
Professors, Dr. Shaheen Begum and
Dr. D. Sujatha for their kind support throughout my Ph.D. course
I take this opportunity to thank Laurus labs, Hyderabad, Apotex Pharma, Bangalore,
Micro labs, Bangalore, Hetero drugs, Hyderabad, Natco Pharma, Hyderabad, Ajanta
Pharma, Mumbai for providing me the gift samples of APIs
I express my sincere thanks to Dr. K. S. Murali Krishna, Principal,
Marri Laxman Reddy Institute of Pharmacy, Hyderabad for providing the facilities
required for Ph.D. work and for his support and encouragement
226. 226
I am thankful to Dr. D. Dachinamoorthi, Principal, QIS College of Pharmacy, Ongole
for his support and encouragement
I am grateful and sincerely thankful to Dr. Gummalla Pitchaiah, Head of the
Department, QIS College of Pharmacy, Ongole for providing facilities for Ph.D. work
and encouragement
I am thankful to Dr. P. Sreenivasa Prasanna, Principal, Malineni Lakshmaiah College
of Pharmacy, Singarayakonda for providing the facilities required for Ph.D. work
My special thanks go to my friends Mrs. E. Pushpa Latha,
Mrs. K. Veditha, Mrs. S. Bhargavi for their help during my Ph.D. work
227. 227
I express my heartfelt love and affection to my father, late
Mr. K. Anjaneyulu, mother, Mrs. K. Sujatha and brother, Mr. K. Siva Teja for their
constant encouragement and moral support without which this work would have not been
completed
I take this opportunity to express my profound sense of gratitude and respect to all those
who helped me directly and indirectly in completion of my Ph.D.