alexa DOE-Based Stability Indicating RP-HPLC Method for Determination of Lacidipine in Niosomal Gel in Rat: Pharmacokinetic Determination | Open Access Journals
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

DOE-Based Stability Indicating RP-HPLC Method for Determination of Lacidipine in Niosomal Gel in Rat: Pharmacokinetic Determination

Mohd Qumbar, Ameeduzzafar, Javed Ali, Syed Sarim Imam, Mohd Fazil and Asgar Ali*

Pharmaceutics Research Lab, Department of Pharmaceutics, Faculty of Pharmacy Jamia Hamdard, New Delhi, India

*Corresponding Author:
Asgar Ali
Dean Faculty of Pharmacy, Jamia Hamdard
New Delhi-62, India
Tel: +91-9899571726
E-mail: [email protected]

Received Date: July 13, 2014; Accepted Date: September 30, 2014; Published Date: October 02, 2014

Citation: Qumbar M, Ameeduzzafar, Ali J, Imam SS, Fazil M, et al. (2014) DOEBased Stability Indicating RP-HPLC Method for Determination of Lacidipine in Niosomal Gel in Rat: Pharmacokinetic Determination. Pharm Anal Acta 5:314. doi: 10.4172/2153-2435.1000314

Copyright: © 2014 Qumbar M, 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

Abstract

Lacidipine (LAC) is a calcium channel blocker used in treatment of hypertension. In this study high performance
liquid chromatography method (HPLC) is applied to the determination of LAC in rat plasma. The design of experiment
used 3- factor 3- level Box Behnken Design for optimization of mobile phase condition. The effluent was monitored
by UV detector at 240 nm, at a flow rate of 1.0 mL/min using amlodipine as internal standard. A linear calibration
curve very well fits our data from 20-1200 ng/mL with limit of detection (LOD) quantitation (LOQ) 1.490 and 4.848
ng mL-1 respectively. The method was found to be linear, precise and accurate. Analytes were stable under various
conditions (during freeze-thaw, at room temperature, and under deep freeze conditions). The pharmacokinetic study
was performed after application of LAC niosomal transgel in rats and results showed enhance bioavailability by 2.57
fold as compared to oral formulation.

Keywords

Lacidipine; Box Behnken design; Validation; Niosome; Pharmacokinetics

Introduction

Lacidipine (LAC) is a calcium channel blocker developed for oral administration and widely used by oral route in treatment of hypertension Figure 1 [1]. It is chemically (E-4-{2-[3-(1, 1- dimethylethoxy)-3-oxo-1-propenyl] phenyl}-1, 4-dihydro-2, 6-dimethyl- 3, 5-pyridine dicarboxylic acid diethyl ester), with molecular formula C26H33NO6 and molecular weight of 455.543 g/mol [2]. It is also used in the treatment of atherosclerosis, also possesses an antioxidant effect [3,4]. It has a high degree of lipophilicity which deposits on the lipid moiety and continuously releases into the binding site during the clean up phase, so it has long duration of action [1]. It undergoes extensive first-pass hepatic metabolism which result to a low oral bioavailability of about 10%. It has long duration of action because of its high degree of lipophilicity. The suggested therapeutic dosage is one 4 mg tablet daily and therapeutic plasma levels are very low (under 5 ng/ml at the peak time) [5].

pharmaceutica-analytica-acta-lacidipine

Figure 1: Chemical structure of lacidipine.

Literature survey revealed that different spectrophotometric method for estimation of lacidipine in various in pharmaceutical dosage form [6-9] like LC-MS/MS in human plasma, [2] UPLC-Tandem MS in human plasma have been reported [5]. Rational practice of design of experiment (DOE) in analytical method development helps to establish a robust mobile phase composition. The utility of design of experiment in LC analytical methods, such as the application of statistical design for the optimization of mobile phase composition for drugs like amoxicillin trihydrate, lenalidomide, voriconazole, risperidone, [10-13] and fractional factorial design (FFD) and central composite design (CCD) in the screening and optimization of bioanalytical methods have been extensively investigated [14]. The use of DOE have also been widely explored in metabolite isolation, [15] and impurity profiling using chromatographic procedures [16]. As per prior literature there is no report of an optimized analytical method using experimental design techniques. It was envisaged to develop and validate a simple and fast analytical method by HPLC to quantify LAC in rat plasma by optimization of the mobile phase composition using BBD design. This work describes the validation parameters stated by the ICH guidelines to achieve an analytical method with acceptable characteristics of suitability, reliability and feasibility.

Materials and Methods

Chemicals

Lacidipine (99.5% purity) was procured as gift sample from Cadila Health Care (Ahmadabad, India). Acetonitrile HPLC grade, Water for HPLC and Ammonium acetate crystals extra pure were procured from SD fine-chem. Ltd. Mumbai, India. Methanol HPLC grade was procured from Spectrochem Pvt Ltd Mumbai (India). All other chemicals were of AR grade.

Animal

Albino Wistar rats (6-8 weeks /200-250 g) were approved and provided by Institutional Animal Ethics Committee, and CPSCEA (Committee for the purpose of control and supervision on experiments on animals), Govt of India Central, Animal House of Hamdard University. The rats were housed under controlled environmental conditions (temperature, 25 ± 5°C; humidity, 55 ± 15%; 12 h light/dark cycle) and were nourished with pellet diet (Lipton, India) and water ad libitum. The experiments were carried out according to the Guidelines for the Care and Use of Laboratory Animals that was approved by the Committee of Ethics of Animal Experimentation of Jamia Hamdard.

Chromatography condition

HPLC was performed using a Shimadzu HPLC system (Shimadzu, Model LC-10 ATVP) Japan) equipped with a binary pump and UV detection system (SPD-10A). The chromatographic system operation and recording of data were performed with the use of Class-VP software version 6.21 SP1. Chromatographic separations were achieved on Lichrospher- 100 (Merck) C18 column (average particle size 5 μm, 250 mm×4.6 mm I.D). The mobile phase consisted of acetonitrile and 2-mM ammonium acetate with flow at rate 1.0 ml/min. 20 μL of sample was injected with injection for each run and detection was performed at 240 nm wavelength with run time of 10.0 min.

Preparation of stock, quality control (QC) standard solution

A primary stock solution of LAC (100 μg/mL) and internal standard (100 μg/mL) were prepared by dissolving in appropriate quantity of methanol and sonicated for 20 min. Standard solutions of LAC at desired concentrations range were prepared by serial dilution of the stock solution with methanol. Calibration standards were prepared by spiking 10 μL of the appropriate standard solutions to 100 μL of blank rat plasma. The final drug concentrations after sample extraction is 20- 1200 ng/mL. The 20 ng/mL of internal standard was added in the each sample. The QC samples were prepared independently at four levels 20 ng/mL (LLQC, lower limit quality control), 40 ng/mL (LQC, low quality control) 600 ng/mL (MQC, middle quality control), 1000 ng/ mL (HQC, high quality control) concentrations in the same way as the plasma samples for calibration, and QC samples were stored at -20°C until analysis.

Sample Preparation Protocol

All the solutions (standards, QC samples and unknown plasma samples) were freshly prepared before carrying out the experiments. The 20 μL aliquot of each samples were taken into glass tube containing 100 μL blank rat plasma, and 10 μL of IS (20 ng/mL) was added in each sample, and further 500 μL of formic acid (5% w/v) was incorporated to mixture and vortexed at 300 rpm for 10 min). Finally, the plasma was extracted with 1.5 mL of ethyl acetate, followed by centrifugation at 6,000 rpm for 5 min at 20°C. The supernatant was withdrawn and dried using nitrogen evaporator. The residue was reconstituted with methanol (500 μL). THE 10 μL of each samples were injected into HPLC system for analysis.

Optimization

Design of experiment (DOE) was carried out to investigate the behaviour of the response around the nominal values of the factors. The application of DOE has the following advantages: (a) to allow a complete study where all interaction effects are estimated; and (b) to give an accurate description of an experimental region around a centre of interest with validity of interpolation [17-19]. The design shows two to five centre repetitions in order to know the experimental error variance and to test the predictive validity of the model [20]. The Box Behnken Design (BBD) employing a three-factor, three-level using Design-Expert (version 8.0.7.1 software, Stat-Ease Inc., Mineapolis, USA) for optimization of mobile phase. The selected independent variables are acetonitrile (X1), flow rate (X2), and pH (X3), while area (Y1), retention time (Y2), and capacity factor (Y3) was taken as dependent variables (Table 1). A total of 15 experimental runs obtained from Box Behnken design and their observed responses (Table 1), for which the non-linear computer generated quadratic model is defined as;

Y = b0 + b1X1 + b2X2 + b3X3 + b12X1X2 + b13X1X3 + b23X2X3 + b11X21 + b22X22 + b33X23

Run ACN Flow   rate (ml) pH Area Retention time Capacity factor
Actual value (Mean ± SD) (n=3) Predicted value Actual value (Mean ± SD) (n=3) Predicted value Actual value (Mean ± SD) (n=3) Predicted value
1 80.00 0.80 7.00 401423 ± 6248 401603 4.03 ± 0.062 4.01 2.36 ± 0.036 2.37
2 80.00 1.00 6.00 422691 ± 6023 423410 3.68 ± 0.052 3.69 2.05 ± 0.031 2.06
3 90.00 1.00 5.00 378411 ± 6157 379013 5.13 ± 0.065 5.11 3.24 ± 0.051 3.24
4 90.00 1.20 6.00 349467 ± 4529 349119 4.48 ± 0.061 4.50 2.73 ± 0.044 2.74
5 90.00 0.80 6.00 359129 ± 5488 359312 4.62 ± 0.064 4.63 2.84 ± 0.041 2.85
6 90.00 1.00 7.00 427143 ± 6759 426804 4.52 ± 0.066 4.51 2.78 ± 0.043 2.79
7 70.00 0.80 6.00 285321 ± 4581 285711 3.74 ± 0.051 3.72 2.11 ± 0.029 2.12
8 80.00 1.00 6.00 422658 ± 6589 423407 3.68 ± 0.058 3.69 2.06 ± 0.029 2.06
9 70.00 1.00 5.00 378854 ± 6772 379209 3.43 ± 0.054 3.44 1.84 ± 0.025 1.85
10 80.00 0.80 5.00 412894 ± 7025 412217 4.09 ± 0.056 4.07 2.41 ± 0.037 2.43
11 80.00 1.00 6.00 424759 ± 6855 423434 3.69 ± 0.055 3.68 2.07 ± 0.027 2.06
12 80.00 1.20 7.00 401267 ± 5496 402006 3.72 ± 0.061 3.71 2.15 ± 0.031 2.15
13 70.00 1.00 7.00 305821 ± 3544 305308 4.03 ± 0.049 4.01 2.35 ± 0.033 2.36
14 80.00 1.20 5.00 417741 ± 6554 417510 3.69 ± 0.052 3.68 2.07 ± 0.027 2.08
15 70.00 1.20 6.00 301623 ± 3624 301505 3.17 ± 0.039 3.18 1.65 ± 0.021 1.66

Table1: Observed values of responses for Box–Behnken design (Design Expert 8.0.7.1).

where Y is the measured response associated with each factor level combination; b0 is constant; b1, b2, b3 are linear coefficients, b12, b13, b23 are interaction coefficients between the three factors, b11, b22, b33 are quadratic coefficients computed from the observed experimental values of Y from experimental runs; and X1, X2 and X3 are the coded levels of independent variables. The terms X1 X2 and X12 (i=1, 2 or 3) represent the interaction and quadratic terms, respectively. The responses were statistically evaluated using ANOVA procedure. Further, the optimum condition was selected by the numerical optimization procedure using the desirability function.

Validation method

The validation of an analytical method confirms the characteristics of the method to satisfy the requirements of the application domain [21]. The method was validated following parameters like for specificity, repeatability, linearity, precision, robustness, recovery and stability as per ICH Guidelines.

Specificity

Specificity is the ability to assess the analyte in presence of components which may be expected to be present. The selectivity of the method was evaluated by comparing the chromatograms of six different batches of blank rat plasma with the corresponding spiked plasma (LLOQ samples), so as to ensure no interfering peak of LAC and I.S. from endogenous plasma.

Linearity and sensitivity

The concentrations of 20, 40, 100, 200, 400, 600, 800, 1000, and 1200 ng /mL were used to assess linearity. The calibration standards of LAC in plasma sample were prepared by liquid-liquid extraction method. The calibration curve was plotted between concentrations vs. peak area ratio of drug to IS of the nominal concentration. Least-squares linear regression method was used to determine the slope, intercept and correlation coefficient. The limit of detection and quantification (LOD & LOQ) is defined as the concentration that produced a signalto- noise (S/N) ratio of at 3:1 and 10:1. The LOD & LOQ of sample were determined by following formula.

Where SD is Standard Deviation

Precision and accuracy

The precision and accuracy was determined by analyzing QC samples at 4 levels (LLQC, LQC, MQC, and HQC concentrations). The QC samples were analysed six times a day to evaluate intra-day precision and accuracy. The same procedure was performed once a day for three consecutive days for inter-day precision and accuracy. The accuracy and precision were calculated using the formula and was expressed as relative standard deviation (RSD).

Extraction recovery and matrix effect

The extraction recovery of LAC was evaluated at four QC concentrations: 20, 40, 600, and 1000 ng/mL. Extraction recovery was determined by comparing the peak areas obtained from blank plasma spiked with analytes before the extraction with those from samples to which analyte were added after the extraction [22,23]. Matrix effect was also determined at LLQC, LQC, MQC and HQC concentrations, viz. 20, 40, 600, and 1000 ng/mL, and assayed to compare the peak areas of blank plasma extracts spiked with analyte with those of the standard solutions dried and reconstituted with mobile phase.

-Robustness

Robustness of the method was determined by making slight changes in the chromatographic conditions, such as change in mobile phase, flow rate and column temperature. The method was done at 4 levels of different spiked plasma QC samples (LLQC, LQC, MQC, and HQC concentrations).

Stability assessment

The stability study was performed to evaluate the stability of the analyte in plasma under the following conditions: short-term stability at room temperature for 24 h; long-term stability at -80°C for 30 days, freeze thaw (three cycle at 20-25°C) cycles for three consecutive days and post preparative stability of the processed samples kept under normal conditions (25 ± 2°C) for 24 h. All stability testing in rat plasma were performed at the LQC and HQC concentrations (n=6). Stability was determined by statistical comparison of the calculated concentrations.

Forced degradation studies

The forced degradation studies were conducted on sample using acid, alkaline, oxidative, thermal, photolytic, and UV degradations. The sample was exposed to these conditions and main peak was studied for the peak purity, thus indicating that the method effectively separated the degradation products from the pure active ingredient [24]. A stock solution containing 10 mg lacidipine in 50 mL methanol was prepared. This solution was used for forced degradation.

Preparation of acid and base induced sample

To the volume of 10 mL of methanolic stock solution, 10 mL of 1N HCl and 10 mL of 1N NaOH were added separately. These mixtures were refluxed for 6 h at 90°C. The forced degradation in acidic and basic media was performed in the dark in order to exclude the possible degradative effect of light. The sample was diluted with methanol to obtained desired concentration (100 ng/mL). Finally sample was filtered through 0.2 μm filter and then injected into the HPLC system.

Preparation of hydrogen peroxide-induced sample

To the volume of 10 mL of methanolic sample was added in 10 mL of hydrogen peroxide (30%, v/v) was added. The solution was refluxed in boiling water bath for 6 h at 90°C to remove completely the excess of hydrogen peroxide. The sample was diluted with methanol to obtained desired concentration (100 ng/mL) and sonicated for 5 min. The sample filtered through 0.2 μm filter and then injected into the HPLC system. The obtained chromatogram was analyzed.

Photochemical degradation induced sample

The photochemical stability of the drug sample was performed by exposing to direct sunlight and ultraviolet for 24 h. The sample was diluted with methanol to obtained desired concentration (100 ng/mL) sonicated for 5min. Finally the sample filtered through 0.2 μm filter and then injected into the HPLC system.

Preparation of niosome gel

LAC niosomes were prepared by film deposition technique using span60 as non-ionic surfactant [25]. Appropriate amount of LAC, cholesterol and span 60 was dissolved in methanol/chloroform mixture (2:1), placed in a round bottom flask. The organic solvent was removed under vacuum by a rotary evaporator (Model-HS-2005V-N, Hahnshin Scientific Co. Korea) at 60°C to form a thin film on the wall of the flask. The flask was kept in a desiccator under vacuum for 4-8 h to ensure total removal of trace solvents. The film was hydrated with 10 ml of phosphate buffer and dispersion was left to equilibrate at room temperature to ensure complete annealing and drugs distribution between the lipid bilayer and the aqueous phase. The formulation was converted into gel using carbopol 934 (1% w/w). Niosomal dispersion was added to hydrated carbopol solution with stirring. Other ingredients, such as 15% w/v polyethylene glycol-400 (PEG-400) and triethanolamine (0.5%w/v), were added to obtain homogeneous dispersion of gel, and this niosomal gel formulation was used in vivo pharmacokinetic studies.

Characterisation of niosome and niosomal gel

Niosome were characterised for size, size distribution, polydispersity index, and entrapment efficiency. Zetasizer (3000-HS, Malvern Instruments, UK) was used for measurement of size, size distribution, zeta potential and polydispersity index. Entrapment efficiency was measured by ultracentrifugation method [25]. The viscosity of the niosomal gel was measured using rheometer. The flux was measured by the ex vivo permeation study by using Franz diffusion cell on rat abdominal skin.

Pharmacokinetic study

A total of 12 Albino Wistar rats were randomly divided into two groups of 6 animals each (Group1 for oral suspension and group 2 for transdermal niosomal gel of LAC). The hairs on the abdominal skin of group 2 was removed and cleaned. The calculated dose of oral suspension was administered using oral feeding sonde and niosomal transgel was applied on rat skin. The blood sample was collected at 0, 1, 2, 4, 8, 12, 16, 24, and 48h in tube containing of disodium EDTA as an anticoagulant. All blood samples were centrifuged at 4000 rpm for 10 min, and the plasma samples were collected and stored at -4°C until analysis. The maximum plasma concentration (Cmax) and the time to reach maximum concentration (Tmax) were directly determined from the plasma concentration versus time curves. The area under the curve from 0 to t (AUC0–48), from 0 to ∞ (AUC0–∞) and area under first moment curve from 0–48 (AUMC0–48) were calculated. Whereas, the elimination rate constant (Ke) was calculated as the slope of the terminal portion of the log (plasma concentration) versus time curve. The elimination half-life (t1/2) was calculated using the PK relationship (t1/2 = log 2/Ke).

Result and Discussion

Method development

The HPLC method was developed and optimized using DOE approach taking various mobile phase combinations. There are various mobile phase compositions was used but peak did not separate properly. Finally the optimised chromatographic separation of LAC was achieved by using acetonitrile: 5 mM ammonium acetate, which gave good chromatographic separation as compared to other solvent system as described earlier (Figure 2). Then the final optimization of this solvent system was done by Box-Behnken statistical design for accurate and précised chromatographic separation.

pharmaceutica-analytica-acta-internal

Figure 2: Typical HLPC chromatogram of lacidipine and internal standard (IS).

Optimization

To study the simultaneous variations of the factors on the considered responses, a multivariate approach BBD through DOE was applied. A three factor three level BBD consisting of fifteen experimental runs including three centres point was used. The chromatographic conditions ranges selected were acetonitrile (70-90 %), flow rate (0.8- 1.2 ml/min) and pH (5-7) respectively for area (Y1), retention time (Y2) and capacity factor (Y3). The experimental design of the selected variables with their predicted and actual responses was reported in Table 1. All the responses observed for fifteen runs were fitted to various models and result revealed that best fitted model was quadratic for Y1 (area), Y2 (retention time), and Y3 (capacity factor). Their values of R2, adjusted R2, predicted R2, SD and % CV are given in Table 2. Finally, the model was observed for ANOVA (p<0.001), which revealed that the model terms for main effects and interaction effects were statistically significant (Table 3).

Model R2 Adjusted R2 Predicted R2 SD % CV Remark
Response (Y1)
Linear
2FI
Quadratic

0.2318
0.3485
0.9998

0.0223
-0.1401
0.9996

-0.4708
-1.7366
0.9987

48194.01
52043.04
1010.61

-

-
0.027

-

-
Suggested
Response (Y2)
Linear
2FI
Quadratic

0.7119
0.8232
1.000

0.6333
0.6906
0.9999

0.4535
0.3548
0.9997

0.31
0.29
4.830E-003

-

-
0.12

-

-
Suggested
Response (Y3)
Linear
2FI
Quadratic

0.7485
0.8255
0.9999

0.6418
0.6946
0.9996

0.4734
0.3914
0.9989

0.25
0.23
8.367E-003

-

-
0.36

-

-
Suggested

Table 2: Summary of results of regression analysis for responses Y1, Y2 and Y3.


Result of the analysis of variance Area Rt (min) Capacity factor
Regression
Sum of squares
degrees of freedom (df)
Mean squares
F-value
P

3.325E+010
9
3.695E+009
3617.72
< 0.0001

3.72
9
0.41
17727.06
< 0.0001

2.52
9
0.28
4006.37
< 0.0001
Lack of Fit Tests
Sum of squares
degrees of freedom (df)
Mean squares
F-value
P

2.209E+006
3
7.365E+005
0.51
0.7154

5.000E-005
3
1.667E-005
0.50
0.7194
  1.500E-004
3
5.000E-005
0.50
0.7194
Residual
Sum of squares
degrees of freedom (df)
Mean squares

5.107E+006
5
1.021E+006

1.167E-004
5
2.333E-005

3.500E-004
5
7.000E-005

Table 3: Analysis of variance of calculated model for responses (Design Expert 8.0.7.1).

It was observed that, combination effect showed that factors AB and BC showed antagonistic effect on area, whereas BC showed synergistic effect (Equation 1). The factor AB, BC and AC had a positive effect on retention time (Equation 2). The combination of factors AB; AC had positive effect, whereas BC showed negative effect on capacity factor (Equation 3). Three dimensional surface responses were plotted to define the effect of variations on optimization which allowed predicting the behaviour of analyte with the ease and precision. Figure 3 (a-c) depicts the 3D-response surfaces for various response variables. Figure 3a depicts a dome-shaped response surface plot, characterizing initial increase in the area with increasing the concentration acetonitrile and flow rate, followed by a gradual decrease. Hence, it can be revealed that at the intermediate levels of acetonitrile and flow rate, area was found to be maximum. Similarly, Figure 3b depicts a relationship between acetonitrile, flow rate and pH on retention time. It was observed that with increase in acetonitrile concentration there is increase in retention time, whereas with increase in flow rate of mobile phase there is decrease in retention time of LAC. The pH of mobile phase does not have any significant effect on retention time. Figure 3c portrays an interaction effect and relationship between acetonitrile and flow rate on the capacity factor as the response variable. A curvilinear plot was observed, where with increasing the amount of acetonitrile, a linear increase in the capacity factor was observed and increase in flow rate lead to decrease in capacity factor. Finally, the optimized mobile phase condition was selected by numerical optimization method from the Design-Expert 8.0.7.1 having the desirability value as 1. The composition of the optimized condition was found to be acetonitrile (85%), flow rate (0.95 mL/min), and pH (6), with retention time (4.78 min), area (423369) and capacity factor (2.82) respectively.

pharmaceutica-analytica-acta-retention

Figure 3: 3D- response surface plot of different independent variables on difference responses (a) area (b) retention time (c) capacity factor.

Method validation

The validation of the method for LAC was performed in accordance with the requirements for new methods that include linearity, sensitivity, selectivity, accuracy, precision, robustness, recovery, matrix effect and stability.

Linearity

The linearity response for the LAC was evaluated by injecting a total of working standard solutions in range of 20-1200 ng/mL. The correlation coefficient for the calibration regression line was (r2) of 0.9992 whereas the equation of calibration curve was y = (0.012 ± 0.0002) x - 0.591 ± 0.004 where, x is the concentration of lacidipine in rat plasma, and y is the peak area ratio of lacidipine with IS. Relative standard deviations for slope and intercept were 1.6% and 0.67%, respectively.

Selectivity and sensitivity

The selectivity was evaluated by comparing the spiked plasma samples and blank plasma showed no significant peaks interfering with the quantification of the analyte (Rt= 3.69) and I.S. (Rt=7.242) (Figure 4). The developed chromatogram of LAC samples showed similar chromatographic behavior to QCs. There is no interference was observed either by matrix or by formulation ingredients, near the retention time, demonstrating method’s specificity. The LOD and LOQ were 1.469 ng/mL ((S/N ≥3) and 4.848 ng/mL ((S/N ≥10), respectively, indicating the adequate sensitivity of the method.

pharmaceutica-analytica-acta-plasma

Figure 4: Typical HPLC chromatograms (A) spiked blank plasma (B) spiked lacidipine & IS (D) spiked lacidipine.

Accuracy and precision

The results obtained for the intra and inter day precision (%RSD) and accuracy (%) is summarized in Table 4. The % RSD values for intraday and inter-day precision were ranged from 1.87% and 1.89% whereas the % accuracy for the intra-day and inter-day were within 99.00% and 97.15%, respectively. These ranges show within the acceptable limits as per guidelines.

Conc. (ng/ml) Area Intra day Inter day
Measured conc. (Mean ± SD) (ng/mL) Precision (% RSD) % Accuracy (Mean ± SD) Measured Conc. (Mean ± SD) (ng/mL) Precision (% RSD) % Accuracy (Mean ± SD)
20 (LLQC) 49254 ± 978 19.55 ± 0.32 1.79 97.40 ± 1.80 19.59 ± 0.33 1.68 97.60 ± 1.55
40 (LQC) 96001 ± 1073 38.76 ± 0.67 1.73 97.70 ± 1.30 37.94 ± 0.71 1.87 97.15 ± 0.85
600 (MQC) 2280111 ± 1421 575.17 ± 10.8 1.87 98.34 ± 1.70 573.16 ± 9.96 1.73 98.32 ± 1.52
1000 (HQC) 4282948 ± 987 961.20 ± 17.42 1.81 99.00 ± 1.40 970.18 ± 16.64 1.71 98.97 ± 1.087

Table 4: Precision and Accuracy of Lacidipine in rat plasma (n=6).

Extraction recovery and Matrix effect

The extraction recovery and matrix effect of LAC in rat plasma is given in Table 5. The average extraction recovery were 96.43 ± 4.43 97.98 ± 3.76 96.90 ± 4.21 & 98.32 ± 2.76 for the low 20 ng/mL (LLQC), 40 ng/mL (LQC), 600ng/mL (MQC), and 1000 ng/mL (HQC) of QC samples respectively. The extraction recovery was found to be efficient and consistent. The matrix effect was measured by comparing peak areas of LAC after spiking evaporated plasma samples with neat standard solutions at four concentration levels ranged from 96.34 to 98.54% and suggesting that there was no measurable matrix effect interfered with LAC determination in rat plasma samples.

Conc. (ng/mL) ( %) Recovery (Mean ± SD) Matrix effect
( %) (Mean ± SD) % RSD
20 (LLQC) 96.43 ± 4.43 96.34 ± 3.64 3.77
40 (LQC) 97.98 ± 3.76 97.87 ± 2.87 3.93
600 (MQC) 96.90 ± 4.21 97.98 ± 2.65 2.70
1000 (HQC) 98.32 ± 2.76 98.54 ± 2.36 2.39

Table 5: Extraction recovery, matrix effect (n=6).

Robustness of the method

Robustness of the method was done to check the variation in the peak area after small variation in the analytical parameters. It was done on slight change in mobile phase ratio, flow rate and column temperature and results were calculated as % RSD as shown in Table 6. The low values of % RSD indicated robustness of the method.

Condition LQC (40.00 ng/mL) MQC (600.00 ng/mL) HQC (1000.00 ng/mL)
Mobile phase: acetonitrile: 5 mM ammonium acetate buffer
Negative level (90.1:9.9, v/v) 39.90 ± 1.39 (3.48%) 595.43 ± 10.26 (1.72%) 988.54 ± 14.64 (1.49%)
Zero level (90:10, v/v) 39.93 ± 1.29 (3.23%) 597.25 ± 14.82 (2.48%) 996.82 ± 17.35 (1.74%)
Positive level (89:10.1, v/v) 39.91 ± 1.08 (2.71%) 593.65 ± 12.41 (2.09%) 995.94 ± 14.76 (1.48%)
Flow rate
Negative level (0.99 mL/min) 39.88 ± 1.09 (2.73%) 596.67 ± 12.57 (2.10%) 985.87 ± 12.34 (1.57%)
Zero level (1.0 mL/min) 39.92 ± 1.24 (3.10%) 597.76 ± 13.89 (2.32%) 994.26 ± 10.46 (1.31%)
Positive level (1.01 mL/min) 39.89 ± 1.15 (2.88%) 592.39 ± 15.98 (2.69%) 998.71 ± 15.21 (1.90%)

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

Stability assessment

The stability in plasma sample was investigated at two QC levels (in LLQC and HQC). The recovery of the analytes relative to that at time zero is reviewed. After 1 month of storage (Long-term stability) the recovery of lacidipine was 99.34% (LQC), and 98.56% (HQC). The average value of freeze thaw stability after 1, 2 and 3 cycles for lacidipine were recovered as 98.93% (LQC) and 97.75% (HQC). After 24 h (bench-top stability) the recovery of lacidipine was 99.64% (LQC), and 99.20% (HQC). The recovery (post processing stability) of lacidipine was 98.73% (LQC) and 97.35% (HQC), which showed that lacidipine was stable during all storage conditions (long-term, freeze-thaw, benchtop and post processing stability) Table 8.

Conc. (ng/ml) Stability condition Conc. (ng/ml) (Mean ± SD) % Drug Remaining % RSD
LQC (20 ng/mL) Initial (0 h) 19.71 ± 0.31 100 1.57
Short-term stability (25°C, 24 h) 19.64 ± 0.34 99.64 1.73
Long-term stability (−80°C, 30 days) 19.58 ± 0.27 99.34 1.37
Three cycles freeze–thaw stability (three cycles, −20°C to 25°C) 19.50 ± 0.29 98.93 1.48
Post-preparative stability (10°C, 24 h) 19.46 ± 0.28 98.73 1.43
HQC (1000 ng/mL) Initial (0 h) 992.76 ± 16.58 100 1.67
Short-term stability (25°C, 24 h) 984.89 ± 15.92 99.20 1.61
Long-term stability (−80°C, 30 days) 978.56 ± 16.23 98.56 1.65
Three cycles freeze–thaw stability (three cycles, −20°C to 25°C) 970.45 ± 16.04 97.75 1.65
Post-preparative stability (10°C, 24 h) 966.51 ± 15.94 97.35 1.64

Table 7: Summary of ex vivo stability assessment (n=6).

Stress condition Degradation peak (Rt) % drug degradation
Acid degradation 2.158, 2.883, 4.351 70.44
Base degradation 2,408, 3.44 100
H2O2 degradation 4.233 86.483
UV light -- --
Sun light -- --

Table 8: Summary of stress degradation.

Forced degradation studies

Acid degradation: Acidic hydrolysis was carried out by exposing the drug in 1N HCl at 90°C for 6 h. Three additional peaks of degradation product were observed at RT 2.158, 2.883, 4.351 along with the usual drug peak at RT 3.692. The peaks of degraded products were well resolved from the standard drug peak. In mixture of stressed samples showing around 70.44% of the drug degraded in acid hydrolysis (Table 8 and Figures 5a).

pharmaceutica-analytica-acta-plasma

Figure 5: Typical HPLC chromatograms of lacidipine in various stress conditions (A) acid (B) basic (C) H2O2 oxidation (D) sun light (E) UV- light.

Base degradation: Basic hydrolysis was carried out by exposing the drug in 1N NaOH at 90°C for 6 h. Two peaks of degradation product were observed at RT 2.408, 3.44 and no of the usual drug peak at RT 3.692. The peaks of degraded products were well resolved from the standard drug peak. In mixture of stressed samples showing around 100% of the drug degraded in acid hydrolysis (Table 8 and Figures 5b).

Oxidative degradation: The sample degraded with 30% v/v hydrogen peroxide showed additional peaks at different Rt values at RT 4.233 (Table 8 and Figure 5c) no of the usual drug peak at RT 3.692. The samples showing 86.487% degradation. The peaks of degraded products were well resolved from the standard drug peak.

Photochemical degradation product: The photo degraded sample showed no additional peak when drug solution was left in UV light and sunlight for 48 h (Table 8 and Figure 5d and e). No degradation products were obtained in sunlight and UV- light. It indicated that the LAC is stable in sun light and UV-light i.e., photostable.

Characterization of niosome and gel: The size (Figure 6), PDI, and entrapment efficiency of optimised niosomal formulation were 456.2 ± 4.7 nm, 0.329 ± 0.005 and 87.34 ± 1.54% respectively. The morphology of niosomes was spherical in shape (Figure 6). The viscosity and flux of optimized niosomal gel formulation was found to be 28.34 PaS and 38.43 μg/cm2/hr which were higher than control transdermal formulation.

pharmaceutica-analytica-acta-graph

Figure 6: Particle size graph of niosome.

Pharmacokinetic study: The results from comparative pharmacokinetic study of oral vs. transdermal niosomal gel (Table 9, Figure 7) revealed that prolonged release was achieved by transdermal route, as compared to the oral suspension (p<0.05). The Cmax, Tmax, AUC0-t of lacidipine were found to be 104.37 ± 37.95 ng/mL, 4.00 ± 0.12h, 976.45 ± 126.43 ng/mL.h after oral suspension administration whereas 131.45 ± 22.87 ng/mL, 8.00 ± 0.17h, 2500.135 ± 137.87 ng/mL.h respectively after topical niosomal gel (p<0.05). The Cmax, and AUC profiles were compared and found to be higher for transdermal route and the oral route. The Tmax values in all rats were higher for transdermal administration than the oral administration and the difference was statistically significant (p<0.05). This difference was because of stratum corneum that could delay the permeation of LAC from niosomal gel, whereas, suspension administered by oral route is an immediate release dosage form. The overall mean value of AUC0−t by transdermal delivery was 2.56 times higher than oral route, and the difference was found to be statistically significant (p<0.05) demonstrating improved bioavailability of LAC from niosomal gel. In the present study the bioavailability of LAC by transdermal route was found to be 25.7%. Therefore for the effective management of chronic hypertension LAC in the form of niosomal gel could provide an effective treatment.

Pharmacokinetic parameters Lacidipine oral suspension Lacidipine transdermal niosomal gel
AUC0-t (ng.h./mL) 976.45 ± 126.43 2500.135 ± 137.87
Cmax (ng/mL) 104.37 ± 37.95 131.45 ± 22.87
Tmax (h) 4.00 ± 0.12 8.00 ± 0.17
Half life (h) 7.2285 ± 0.16 24.18448 ± 0.23
Elimination rate constant 0.114739 0.060862
AUC0-inf  (ng.h./mL) 1051.059 ± 123.34 2693.358 ± 130.25
AUMC0-t (ng.h./mL) 7612.35 ± 121.65 39524.4 ± 128.97
AUMC0-inf (ng.h./mL) 10053.06 ± 118.87 51973.86 ± 132.98

Table 9: Pharmacokinetic parameter of lacidipine oral suspension and transdermal niosomal gel, values represented are mean ± SD (n=6).

pharmaceutica-analytica-acta-graph

Figure 7: Pharmacokinetic profile of (A) oral suspension of lacidipine (B) transdermal niosomal gel of lacidipine.

Conclusion

The present research work describes the development, optimization by design of experiment, validation and application of a RP-HPLC method for the quantitative analysis of LAC in rat plasma. LAC is extracted from the plasma by a simple and fast liquid-liquid extraction method. This result of method is satisfactory in terms of selectivity, accuracy, precision, sensitivity, matrix effects and reproducibility. The degradation study results shows that the drug is photo stable. It has been successfully applied in pre-clinical pharmacokinetic research and will be used in future clinical pharmacokinetic studies.

Acknowledgement

The authors are thankful to Government of India, All India Council for Technical Education. New Delhi, India for the granting GPAT scholarship which supported this study.

References

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

Share This Article

Recommended Conferences

Article Usage

  • Total views: 11633
  • [From(publication date):
    November-2014 - Jun 28, 2017]
  • Breakdown by view type
  • HTML page views : 7865
  • PDF downloads :3768
 

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 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords