alexa Development and Validation of a Simple and Efficient RPLC Method for Analysis of Captopril, Metformin, Pioglitazone and Glibenclamide in API, Formulations and Human Serum
ISSN : 2153-2435
Pharmaceutica Analytica Acta

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Development and Validation of a Simple and Efficient RPLC Method for Analysis of Captopril, Metformin, Pioglitazone and Glibenclamide in API, Formulations and Human Serum

Najma Sultana1, Safila Naveed1,2* and Saeed Arayne M3

1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Karachi, Karachi, Pakistan

2Faculty of Pharmacy, Jinnah University for Women, Karachi, Pakistan

3Department of Chemistry, University of Karachi, Karachi, Pakistan

*Corresponding Author:
Safila Naveed
Faculty of Pharmacy, Jinnah University for Women
Karachi, Pakistan
E-mail: [email protected], [email protected]

Received date: June 11, 2013; Accepted date: July 15, 2013; Published date: July 19, 2013

Citation: Sultana N, Naveed S, Arayne MS (2013) Development and Validation of a Simple and Efficient RPLC Method for Analysis of Captopril, Metformin, Pioglitazone and Glibenclamide in API, Formulations and Human Serum. Pharm Anal Acta 4:257. doi:10.4172/2153-2435.1000257

Copyright: © 2013 Sultana N, 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.

Visit for more related articles at Pharmaceutica Analytica Acta

Keywords

Captopril; Metformin; Glibenclamide; Pioglitazone; RPHPLC determination

Introduction

Captopril (Figure 1) is 1-[(2S)-3-mercapto-2-methyl-1-oxoproptonyl]- L-prolineis an orally active inhibitor of the angiotensinconverting enzyme and widely used for the treatment of hypertensive diseases on its own or in combination with other drugs [1]. ACEIs lower the blood pressure in hypertensive patients as well as in salt-depleted normotensive patients. ACE inhibitors are highly selective drugs, do not interact directly with other components of the rennin angiotensin system, and the principle pharmacological and clinical effects of ACE inhibitors seen to arise from suppression of synthesis of angiotensin II [2]. ACE inhibitors produce vasodilation by inhibiting the formation of angiotensin II. This vasoconstrictor is formed by the proteolytic action of renin (released by the kidneys) acting on circulating angiotensinogen to form angiotensin I which is then converted to angiotensin II by angiotensin converting enzyme. ACE inhibitors, by blocking the breakdown of bradykinin, increase its levels, which can contribute to the vasodilator action of ACE inhibitors.

pharmaceutica-analytica-acta-Structure-captopril

Figure 1: Structure of captopril and NIDDMs.

Metformin hydrochloride (Figure 1) chemically, N, N dimethylimido dicarbonimidic diamide hydrochloride is an antidiabetic agent from biguanide class used in the management of type 2 diabetes. It decrease hepatic glucose production and intestinal absorption of glucose and improves insulin sensitivity by increasing peripheral glucose uptake and utilization, its predominant effect is to decrease fasting plasma glucose.

Pioglitazone hydrochloride (Figure 1) (±)-5-[p-[2-(5-ethyl-2- pyridyl)-ethoxy]benzyl]-2,4-thiazolidinedione hydrochloride is an oral antidiabetic agent used in the treatment of type 2 diabetes mellitus. PIO decreases insulin resistance in the periphery, liver and resulting in increased insulin-dependent glucose disposal and decreased hepatic glucose output.

Glibenclamide (Figure 1), 5-chloro-N-[2-4[[[(cyclohexylamino) carbonyl]-amino]sulphonyl]-henyl]ethyl]-2-methoxy benzamide is oral sulfonylurea antidiabetic agent widely used to lower blood glucose levels in patients with type 2 diabetes mellitus. It acts by inhibiting ATPsensitive potassium channels in pancreatic beta cells and this inhibition causes cell membrane depolarization, which cause voltage dependent calcium channels to open and increase in intracellular calcium in the beta cell, which stimulates insulin release.

For many patients with type 2 diabetes, mono therapy with an oral antidiabetic agent is not sufficient and the fixed dose combination of metformin, pioglitazone, and glibenclamide showed significant efficacy in improving the glycemic control in type 2 diabetics. Angiotensin converting enzyme inhibitors have been shown to be effective antihypertensive drugs for both patients with diabetes and those without diabetes. Diverse classes of antihypertensive prescription may be used for blood pressure manage in diabetes among these calcium channel blockers, thiazide diuretics and angiotensin converting enzyme inhibitors are common [3]. Various HPLC methods have been reported for estimation of captopril [4-6]. Several methods have also been developed for investigation of anti diabetics with other drugs [7-11]. Our research group has reported a number of methods for the simultaneous determination of these drugs as glipizide and glimepride [12] and now this method has been used for interaction studies. Metformin has been determined along with captopril, lisinopril and enalapril [13], gliquidone pioglitazone hydrochloride and verapamil has been simultaneously determined [14] and gliquidone, piogliquidone hydrochloride and atorvastatin in formulations and human serum [15]. We have also worked on the interaction of a number of co-administered drugs as interaction of captopril and H2-receptor antagonists [16,17].

Combinations of metformin with glipizide, gliclazide or glibenclamide are available commercially as single dosage form. A combination tablet formulation is beneficial in terms of its convenience and patient’s compliance. The most important purpose of this study was to assess the “in vitro” drug interactions of captopril with commonly prescribed antidiabetic drugs (metformin, glibenclamide and pioglitazone) by utilizing HPLC for the monitoring of diabetic patients who take combination medications and for studying the pharmacokinetics of the combined dosage forms.

Experimental

Materials and reagents

All chemicals and reagents were of analytical grade. Captopril (purity 99.82%) was a kind gift from Bristol Meyers (Pvt) Limited, Pakistan. Metformin (purity 99.94%), glibenclamide (purity 99.97%) and pioglitazone (purity 99.79%) were gifts from Sanofi Aventis (Pakistan) Ltd, Safe Pharmaceutical (Pvt) Ltd and Ali Gohar Pharmaceuticals (Pvt) Limited, Pakistan. HPLC grade acetonitrile, methanol and phosphoric acid were obtained from Tedia (USA) and Merck Darmstadt, Germany.

Pharmaceutical dosage form

Capoten™ (Captopril 25 mg tablets by Bristol Meyers (Pvt) Ltd), Neodipa™ (metformin 250 mg tablets by Sanofi Aventis (Pvt) Ltd), Diazet™ Glibenclamide 5mg from Safe Pharmaceutical (Pvt) Ltd and Poze™ (45 mg mg tablets from Ali Gohar pharmaceuticals Pakistan Limited), were purchased from the local pharmacies. All these drugs had an expiry of not less than 1 year at the time of study.

Instrumentation

A Shimadzu HPLC system equipped with LC-10 AT VP pump and SPD-10 A VP UV-VIS detector and other HPLC system was equipped with LC-20AT and SPD-20A UV/VIS detector was utilized. Chromatographic system was integrated via Shimadzu model CBM-102 to P-IV computer loaded with Shimadzu CLASS-VP software (Version 5.03) for data acquisition and mathematical calculations. Rheodyne manual injector fitted with a 20 μL loop, Hypersil, ODS, C18 (150×4.6 mm, 5 micron) and Purospher® STAR RP-18 column and DGU-14 AM on-line degasser. In addition, Mattler Toledo electronic balance, micro liter syringe and micro pore filtration assembly were used in this study.

Preparation of standard and sample solutions

Standard preparation: Stock standard solutions 100 ppm of CAP, MET, PGL and GLB were prepared in 100 mL mobile phase as solvent. Working solutions were prepared separately by making serial dilutions from the standard solutions to obtain concentration between 2.5-100 μg mL-1 for hypoglycemics and captopril. These solutions were stored at 20°C. Once prepared, analyzed daily for inter and intra-day variations of the method. 20 μL of these solutions were injected into LC system and chromatographed.

Preparation of solutions: Standard solutions of captopril and anti diabetic drugs were prepared by dissolving appropriate amounts of each in mobile phase methanol: water (70:30v/v, pH 3) to obtain final drug concentrations of 100 μg mL-1. For the calibration standards, seven calibrators of each drug were prepared by making serial dilutions from stock solutions. For the assay preparation the content of 20 tablets were powdered weighed portion of the powder equivalent to the suitable amount of drug (according to the labeled claimed) was transferred into a 50 mL volumetric flask. The drug was fully dissolved in mobile phase and then diluted with this solvent up to the mark, seven dilutions of each drug were prepared portion of this solution was filtered through a disposable 0.45 μm filter and then injected.

Serum drug analysis: Blood samples were collected from healthy volunteers and after coagulation centrifuged at 3000 rpm for 10 minutes. The supernatant (serum) obtained was stored at -20°C. After thawing, serum was deprotinated by acetonitrile and spiked daily with working solutions to produce desired concentrations of enalapril and anti diabetic drugs. 20 μL volume of each sample was injected and chromatographed under above conditions.

Chromatographic conditions: The chromatographic analysis was performed at ambient temperature with isocratic elution. The mobile phase consisted of methanol: water (70:30 v/v) with pH adjusted to 3 with phosphoric acid (85%). The pump was set at a flow rate of 1.0 mL min-1, sample volume of 20 μL was injected in triplicate onto the HPLC column and elute was monitored at 230 nm. Optimal retention times for captopril, metformin, Pioglitazone and Glibenclamide was found to be 3.3 2.4, 2.8, 7.2 min respectively.

Results and Discussion

Development of HPLC methods for the determination of drugs has received considerable attention in recent years because of their importance in routine quality control analysis. HPLC methods generally require provision for use and disposal of solvents, laborintensive sample preparation procedure and personal skilled in chromatographic techniques. The goal of this study was to develop a rapid, more accurate, precise reliable least time consuming HPLC method for the simultaneous determination of captopril and anti diabetic drugs in the form of bulk drug samples, its formulations and human serum using the most commonly employed C-18 column with UV detector.

Method development

In the present investigation the best separation of captopril and antidiabetic drugs was achieved using a Hypersil, ODS, C18 (150×4.6 mm, 5 micron) column which provides efficient and reproducible separation of the components. Using other type of column under similar experimental condition, the separation lasted about 8 minutes. A mobile phase of methanol: water (70:30 v/v) having pH adjusted with phosphoric acid to 3 provided a reproducible, baseline resolved peak. Small changes in pH of the mobile phase had a great influence to the chromatographic behavior of these substances, higher pH of the mobile phase also results in peak tailing and at a lower pH retention time of antidiabetic drugs and captopril was delayed. It is obvious from the chromatogram (Figure 2 and 3) that antidiabetic drugs and captopril eluted out forming symmetrical peaks and were well separated from each other. The method was found to be rapid as the drugs separated in a very short time i.e. captopril 3.3 mins and metformin, pioglitazone and glibenclamide 2.4, 2.8, 7.2 minutes respectively. The advantages of this method are ease of operation, short analysis time (total run time < 8 minutes), utilization of readily available costeffective solvents, no matrix interferences and satisfactory limit of quantification to enable pharmacokinetic studies of captopril and hypoglycemic drugs. Rapidness, sensitivity, simplicity, economical nature, acceptable resolution, good recovery and precision of this method give it an advantage over the other reported HPLC methods for the determination of captopril and (non insulin dependent diabetes mellitus drugs) NIDDMs drugs.

pharmaceutica-analytica-acta-metformin

Figure 2: A representative chromatogram of (a) metformin (b) pioglitazone (c) captopril and (d) glibenclamide in API.

pharmaceutica-analytica-acta-chromatogram

Figure 3: A representative chromatogram of (a) metformin (b) pioglitazone (c) captopril and (d) glibenclamide in formulation.

Method validation

The newly developed method has been validated and holds well for the determination of drug in raw materials, dosage formulations and serum. For validation of analytical methods, the guidelines of the International Conference on the Harmonization of Technical Requirements for the Registration of Pharmaceuticals for Human Use [16] have recommended the accomplishment of selectivity, specificity, linearity, accuracy test, precision, sensitivity, limit of detection and quantification of the method.

Selectivity and specificity

The specificity of the chromatographic method was determined to ensure separation of captopril and antidiabetic as shown in Figure 3. Specificity was also determined by screening four different samples of controlled human serum, which were free from interfering endogenous plasma components. Solutions of placebo, captopril and antidiabetic were prepared and then injected to check for interference from common excepients (Table 1).

Analytes Retention time (TR) (min) Capacity factors (K’) Theoretical plates (N) Tailing factor (T) Resolution (R) Separation factor
CAP 3.3 2.13 3200 1.23 3.4 2.48
MET 2.4 2.25 3250 1.25 3.5 2.36
PGL 2.8 2.36 3250 1.36 3.6 2.59
GLB 7.2 2.36 3246 1.69 3.3 2.56

Table 1: System suitability parameters.

Range and linearity

Linearity is generally reported as the variance of the slope of the regression line. Linearity was tested with known concentrations of captopril, metformin, Pioglitazone and Glibenclamide i.e. 2.5, 5, 10, 25, 50 and 100 μgmL-1, respectively. Five runs were performed for every concentration. Injected concentrations versus area were plotted and the correlation coefficients were calculated which are shown in Table 2.

Drugs Conc.μgmL-1 Regression Equation r2 LLOD μgmL-1 LLOQ μgmL-1
CAP 2.5-100 A = 2501.7x + 3073.7 0.9995 0.7 2.3
MET 2.5-100 A = 3841.3x + 4744.2 0.9998 0.4 1.5
PIO 2.5-100 A = 2419.8x + 2988.8 0.9995 0.7 2.3
GLB 2.5-100 A = 2419.8x + 2988.8 0.9995 0.7 2.3

Table 2: Regression characteristics.

Accuracy and recovery

The accuracy of an analytical procedure measures the closeness of measured values to the true values. It was evaluated as percentage relative error between the measured mean concentrations and taken concentrations [17,18]. Minimal of three concentration levels covering the specified ranges were selected and three runs were performed for every concentration and then peak area was calculated as given in Table 3.

Analyte Assay (spiking method) Assay in serum
Conc. µgmL-1 %RSD % Rec %RSD %Rec
CAP 8 0.01 99.98 0.002 102
10 0.33 100.04 0.02 101
12 0.36 99.97 0.03 101
MET 8 0.01 100 0.002 101
10 0 100.02 0.002 101.3
12 0.3 99.98 0.02 100.3
PGL 8 0.22 99.3 0.03 100.2
10 0.4 99.98 0.036 100.6
12 99.73 79.79 0.3 101.3
GLB 8 0.01 99.73 0.06 101.3
10 0.3 100.24 0.05 101.6
12 0.5 100.06 0.06 102.0

Table 3: Accuracy of captopril and antidiabetic drugs.

Precision

The intra-and inter-day precision was evaluated by assaying the samples (Table 4). In this assay, the intra-day precision and the interday precision recovery was 98-102% in bulk materials and in human serum (Figure 4). Intra and interday precision was performed and % RSD was found to be less than 2 which indicate that the method was sufficiently accurate and precise.

pharmaceutica-analytica-acta-pioglitazone

Figure 4: A representative chromatogram of (a) metformin (b) pioglitazone (c) captopril and (d) glibenclamide in serum.

Drugs Conc. injected µgmL-1 Inter-day Intra-day
%RSD %Rec %RSD %Rec
CAP 2.5 0.0073 101.11 0.073 101.11
5 0.0109 102.36 0.009 102.36
10 0.3261 100 0.361 100.02
25 0.0009 100 0.09 100.03
50 0.0005 99.826 0.005 99.26
100 0.0002 99.998 0.002 99.98
MET 1.25 0.0047 99.997 0.047 99.9
2.5 0.0071 99.988 0.071 99.88
5 0.0024 100.12 0.024 100.1
10 0.0006 99.983 0.006 99.93
25 0.0006 99.968 0.006 99.98
50 0.0003 99.991 0 99.91
PGL 1.25 0.0075 98.72 0.007 98.72
2.5 0.0075 99.98 0.075 99.98
5 0.0019 99.73 0.019 99.73
10 0.0012 99.97 0.012 99.87
25 0.0005 99.97 0.005 99.87
50 0.0003 100.02 0.003 100.1
GLB 1.25 0.008 100.02 0.08 100.2
2.5 0.008 99.783 0.008 99.7
5 0.002 99.983 0.002 99.9
10 0.001 99.972 0.001 99.9
25 0.05 99.996 0.05 99.9
50 0.03 99.997 0.03 99.9

Table 4: Inter day and intraday precision of captopril and NIDDM drugs.

Robustness

To evaluate robustness of the developed RP-HPLC method, small deliberate variations in the optimized method parameters were done. The effect of change in flow rate, pH and mobile phase ratio on the retention time and tailing factor were studied. The method was found to be unaffected by small changes like ± 0.2 change in pH, ± 0.2 change in flow rate and ± 5 change in mobile phase (Table 5).

  Level K’ T  (Rs)
A: pH of mobile phase
2.6 -0.2 2.8 1.22 3.4
2.8 0 2.13 1.23 3.4
3 0.2 2.2 1.4 3.2
Mean ± S.D (n=6) 2.13 ± 0.3 1.23 ± 0.020 3.4 ± 0.1
B: Flow rate (mLmin-1)
0.8 -0.2 2.1 1.45 3.32
1 0 2.3  1.44 3.36
1.2 0.2 2.4 1.42 3.37
Mean ± S.D (n=6) 4.3 ± 0.212 1.44 ± 0.015 3.36 ± 0.026
C: Percentage of water in mobile phase (V/V)
25 -5 2.6 1.42 3.38
30 0 2.3  1.43 3.36
35 5 2.5 1.46 3.33
Mean ± S.D (n=6) 2.36 ± 0.070 1.43 ± 0.025 3.36 ± 0.025
C: Wavelength (nm)
225 -5 2.5 1.42 3.38
230 0 2.3  1.43 3.36
235 5 2.4 1.45 3.32
Mean ± S.D (n=6) 2.3 ± 0.070 1.43 ± 0.015 2.36 ± 0.030
K’= Capacity factors, N = Theoretical plates, T =  Tailing factor Rs=Resolution

Table 5: Robustness of the method (n=6).

Ruggedness

Ruggedness was established by determining CAP, MET, PGL and GLB using same and different chromatographic systems and using two different columns Hypersil, ODS, C18 (150×4.6mm, 5micron) and Purospher® STAR RP-18 column and Hypersil, ODS, gave the best results. The assay results indicated that the method was capable with high precision (Table 6).

HPLC System------> Conc. (μgmL-1) LC 10 LC 20
Drugs Columns Conc.Found (μgmL-1) Recovery (%) Conc. Found (μgmL-1) Recovery (%)
CAP Purospher STAR 30 30.03 100.1 30.03 100.1
40 40.9 102.25 40.03 100.07
50 50 100.0 50 100.0
Hypersil,ODS 30 30.09 100.3 30.04 100.13
40 40 100.0 40 100.0
50 50.03 100.06 50.03 100.06
MET Purospher STAR 30 30.09 100.3 30.04 100.13
40 40 100.0 40 100.0
50 50.02 100.04 50.02 100.04
Hypersil,ODS 30 30.04 100.133 30.04 100.13
40 40.33 100.825 40.34 100.85
50 50.23 100.46 50.23 100.46
PGL Purospher STAR 30 30.22 100.73 30.22 100.73
40 40.02 100.05 40.02 100.05
50 50.09 100.18 50.09 100.18
Hypersil,ODS 30 30.3 101.0 30.3 101.0
40 40.09 100.22 40.09 100.22
50 50.09 100.18 50.19 100.38
GLB Purospher STAR 30 30.04 100.13 30.04 100.13
40 40.09 100.22 40.09 100.22
50 50.09 100.18 50.09 100.18
Hypersil,ODS 30 30.09 100.3 30.06 100.20
40 40.03 100.07 40.03 100.07
50 50.06 100.12 50.06 100.12

Table 6: Ruggedness of the method.

Lower limit of detection and quantification

The lower limit of quantitation (LLOQ) of the method as signal/ noise of captopril, metformin, Pioglitazone and Glibenclamide were found to be 2.3, 1.5, 2.3 and 2.3 μgmL-1 respectively. Similarly a signal/noise of 3, a LLOD of captopril, metformin, Pioglitazone and Glibenclamide were determined to be 0.7, 0.4, 0.7, and 0.7 μgmL-1 respectively.

Conclusion

The novel RP-HPLC method described in this paper provides a simple, universal, short time analysis and reproducible approach for the simultaneous identification and quantification that can be used to determine captopril and any of the three NIDDMs. In summary, the proposed method can be used for drug analysis in routine quality control. In addition, this method has the potential application to clinical research of drug combination, multi-drug pharmacokinetics and drug-drug interactions.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Recommended Conferences

  • 7th International Conference on Phamaceutical Auditing
    June 08-09, 2018 Baltimore, USA
  • 4th International Conference on Drug Discovery, Designing and Development
    June 27-28, 2018 Vancouver, Canada
  • 18th World Pharma Congress
    October 18-19, 2018 Warsaw, Poland

Article Usage

  • Total views: 11790
  • [From(publication date):
    July-2013 - May 26, 2018]
  • Breakdown by view type
  • HTML page views : 7997
  • PDF downloads : 3793
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
Leave Your Message 24x7