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Mohammad Al Bratty Jazan University, Jazan, P.O. Box 114, KSA

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Neelaveni Thangavel Jazan University, Jazan, P.O. Box 114, KSA

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Ramalingam Peraman Raghavendra Institute of Pharmaceutical Education and Research Campus, Anantapuramu, Andhra Pradesh, India

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Vinod Kumar Raghavendra Institute of Pharmaceutical Education and Research – Autonomous, Anantapuramu, Andhra Pradesh, India

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Padmanabha Reddy Raghavendra Institute of Pharmaceutical Education and Research – Autonomous, Anantapuramu, Andhra Pradesh, India

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Krishna Veni Nagappan JSS College of Pharmacy, Ooty [A Constituent College – JSS Academy of Higher Education & Research], The Nilgiris, Tamil Nadu, India

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Hassan Al Hazmi Jazan University, Jazan, P.O. Box 114, KSA

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A reversed-phased high-performance liquid chromatography–diode-array detection (HPLC–DAD) method has been developed for investigating the stress-dependent degradation of pantoprazole (PTZ) by a photolytic and oxidative mechanism. The developed method separated PTZ from its degradation products on a C18 column with a mobile phase consisted of methanol and water (60:40, v/v; pH 3.0) at a flow rate of 1 mL/min. The linear regression coefficient of 0.9995 was obtained for a concentration range from 5 to 25 μg/mL. The % relative standard deviation for repeatability and intermediate precision were below 0.5% and 1.5%, respectively, while the sensitivity of the method was demonstrated by a limit of detection value of 0.25 μg/mL. The stress sample analyses for PTZ results revealed the formation of a total of 18 degradation products, and out of them, 9 degradation products were common for both photolytic and oxidative degradations. Further, the oxidation by azobisisobutyronitrile produced the highest number of degradation products (11 impurities), 3 of which are more hydrophobic than PTZ. In photolytic degradation, 8 and 7 degradation products were observed with UV radiation and sunlight exposure, respectively. Furthermore, the degradation of pantoprazole sodium injection formulation was carried out under the same stress conditions, and it revealed the formation of 3 common impurities under both stress conditions, but other impurities were not detected in the formulations. Finally, 3 common impurities formed in formulations of PTZ injections, viz., sulfone, N-oxide, and N-oxide sulfone impurities, were identified by spike analyses.

Abstract

A reversed-phased high-performance liquid chromatography–diode-array detection (HPLC–DAD) method has been developed for investigating the stress-dependent degradation of pantoprazole (PTZ) by a photolytic and oxidative mechanism. The developed method separated PTZ from its degradation products on a C18 column with a mobile phase consisted of methanol and water (60:40, v/v; pH 3.0) at a flow rate of 1 mL/min. The linear regression coefficient of 0.9995 was obtained for a concentration range from 5 to 25 μg/mL. The % relative standard deviation for repeatability and intermediate precision were below 0.5% and 1.5%, respectively, while the sensitivity of the method was demonstrated by a limit of detection value of 0.25 μg/mL. The stress sample analyses for PTZ results revealed the formation of a total of 18 degradation products, and out of them, 9 degradation products were common for both photolytic and oxidative degradations. Further, the oxidation by azobisisobutyronitrile produced the highest number of degradation products (11 impurities), 3 of which are more hydrophobic than PTZ. In photolytic degradation, 8 and 7 degradation products were observed with UV radiation and sunlight exposure, respectively. Furthermore, the degradation of pantoprazole sodium injection formulation was carried out under the same stress conditions, and it revealed the formation of 3 common impurities under both stress conditions, but other impurities were not detected in the formulations. Finally, 3 common impurities formed in formulations of PTZ injections, viz., sulfone, N-oxide, and N-oxide sulfone impurities, were identified by spike analyses.

1. Introduction

Controlling degradation impurities in pharmaceutical products is still a challenging task among the pharmaceutical scientists. The International Conference on Harmonization (ICH)-recommended forced degradation procedure is used to identify the potential degradation products, which are formed during stress degradation, but actually formed in a drug substance or in its product under long-term storage or under accelerated storage conditions [1]. This information helps scientists for designing appropriate measures to minimize the expected impurities in the life cycle of drug products. Stress testing (forced degradation study) has become an important fundamental regulatory requirement for drug development and approval process [2]. It provides evidence regarding the impact of various environmental factors on the quality of drug substances or drug products in real-time and is the scientific basis to recommend the storage condition and package technology for a dosage form [3]. In pharmaceutical analytical research, the design of stress conditions is the crucial and the preliminary step in conducting stability studies for drug product, because it reveals the intrinsic mechanism of drug decomposition, along with the information pertaining to % degradation and number of impurities, which are expected in the life cycle of the drug product [4]. In the literature, we could see that forced degradation studies were conducted using one chemical reagent or one stress inducer in each type of stress condition including acid and base hydrolyses, oxidation, and photolysis. It's our opinion that the degradation study with a single stress inducer or stress agent for each stress may not reveal the complete degradation profile of a drug substance, because the intrinsic pathway of chemical decomposition depends on the type of catalyst or reagent or stress inducer used. As per the ICH Q1 guidelines, photolytic degradation is very important in stress studies for drug substance, which concludes the need for conducting a photo-stability study for their formulations. We felt that unlike the reported and existing routine stress study procedure, there is a need for conducting a forced degradation study for a drug substance using different stress inducers under each stress condition. The result of this type of study will reveal the complete stress degradation profile of a drug substance, along with the information on stress-dependent or stress-specific degradation products for a drug substance or products.

It is well known that the knowledge of photolytic and oxidative degradation of a drug substance or a drug product is very essential for defining the storage condition and packaging technology. In this study, pantoprazole (PTZ) was chosen as an exemplar drug in this study (Figure 1) due to its instability under light and oxygen. PTZ is a proton pump inhibitor, chemically known as 5-(difluoromethoxy)-2- [[(3, 4 dimethoxy-2-pyridinyl) methyl] sulfinyl] – 1H-benzimidazole (Figure 1). It is available as a delayed-release tablet (40 mg and 20 mg), injectable powder, and oral suspension for the treatment of conditions like ulcer, oesophagitis, and heartburn, difficulty in swallowing, persistent cough, and esophagus cancer. The literature revealed the various analytical reports based on UV spectrophotometry [57], high-performance liquid chromatography (HPLC) [810], liquid chromatography–tandem mass spectrometry (LC–MS/MS) [1113], high-performance thin-layer chromatography (HPTLC) [14, 15], and voltammetry [16] methods are available for the assay of PTZ in pharmaceutical dosage forms and in biological fluids. In connection with forced degradation studies, few stability-indicating HPLC methods [5, 17, 18] have been reported for the determination of PTZ in the presence of degradation products. Among these studies, Gupta et al. [17] reported 5 impurities from oxidative degradation but had not carried out photolysis. There are methods on the identification of process impurities [18] and degradation products [19] for PTZ by reversed-phase HPLC (RP-HPLC) methods. Besides, several analytical studies are available for PTZ in the literature, but those methods are not realistic and logically unacceptable, and they lack any one or the other stability-indicating method requirements, such as the following: a) complete degradation profile, b) appropriateness of stress employed, c) specificity, d) acceptable system suitability parameters, e) incomplete validation, and f) risk of method failure.

Figure 1.
Figure 1.

Chemical structure of pantoprazole and its sulfone and N-oxide impurities

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

In connection with the stability studies on pantoprazole formulations, it was evident that EDTA free pantoprazole injections are unstable. For this reason, several preformulation investigations have been conducted to enhance the stability of pantoprazole including sodium salt formation, enteric coating, packaging technology, nano-formulation and lyophilisation. However, the lyophilized pantoprazole sodium injection demonstrated acceptable stability data when compared to the PTZ drug substance. Therefore, the analytical research on the stability of pantoprazole still is continuing interest [2023]. Consequently, the objective of this study was focused on establishing a stress-dependent degradation profile of PTZ using oxidative and photolytic degradations. This approach would be beneficial for choosing an appropriate stress inducer in stability testing protocol and also affords complete data on stress-dependent degradation profile of the drug. Thus, in this work, we employed 4 oxidative and 3 photolytic stress conditions under controlled atmosphere to pantoprazole substance and its pantoprazole sodium injection formulation. At the end of the stress sample analyses, we also attempted to identify the major impurities detected in formulation by spike analysis.

2. Experimental

2.1. Materials and Methods

Pantoprazole (PTZ) reference drug (99.98%) was kindly provided as a gift sample by Walksman Salman Pharmaceuticals Pvt. Ltd., Anantapur, AP (India). Pantoprazole sodium injection powder formulation was purchased from the local community pharmacy through research authorization letter. HPLC-grade solvents and AR-grade reagents were procured from Merck, Mumbai, India.

2.2. Equipment

The HPLC analyses for method development process, forced degradation studies, and method validation were performed on an Agilent LC 1200 system equipped with a binary pump plus, a Rheodyne injector (20 μL), and a photodiode-array detector (PDA). The signal was monitored using Ezchrome Elite software at different wavelengths using 3D mixed view. PTZ was separated on an Inertsil ODS C18 column (250 mm × 4.6 mm i.d., 5-μm particle size). Validated micropipette and the glasswares used were calibrated to fulfill the requirement for class A-type as per the Indian Pharmacopeia. The light source used in the photo-stability study was calibrated with quinine actinometry as per the ICH Q1B guidelines.

2.3. Optimization of Chromatographic Conditions

Initially, the LC system was checked for its performance qualification. Then, the mobile phase was prepared according to the requirement of the LC technique, which involved degassing and filtration for each method trial. The contents of the mobile phase and samples were filtered through a 0.45-μm membrane filter and degassed using a sonication process before analysis. The PTZ at 15 μg/mL was used in the method development process. The initial method optimization procedure has begun with 10% aqueous with pH 3.5 and 90% methanol. The retention was about 3.9 min; thus, the retention behavior of PTZ on the C18 column was assured. Therefore, the experimental trials were continued by varying the % aqueous and pH to achieve acceptable retention time (>8 min), tailing factor (<2.0), and theoretical plate (>3000). The various experimental trials performed in the optimization process are shown in Table 1. The system suitability parameters of the developed method are shown in Table 2. Thus, the optimized mobile phase consisted of methanol and water at a ratio of 60:40 (v/v) and was eluted at a flow rate of 1 mL/min and at an ambient column temperature. The photodiode array detection (PDA) wavelength was set to 290 nm for PTZ for detections (Figure 2) and 230, 245, 254, 310, and 330 nm for stress samples. However, the PDA-3D mixed view program was used in the monitoring of UV absorbing impurities.

Table 1.

Optimization of RP-HPLC method condition for the study of stress-dependent degradation of pantoprazole

S. No. Mobile phase composition pH Retention time (tR) in min Tailing factor Theoretical plates
1 Methanol–water (80:20, v/v) 3.5 3.967 1.3101 2852
2 Methanol–water (70:30, v/v) 3.5 5.593 1.5312 4774
3 Methanol–water (65:35, v/v) 3.0 7.380 1.2650 4862
4 Methanol–water (60:40, v/v) 3.0 10.373 1.2540 4852
Table 2.

Optimized conditions and SST parameters for the developed RP-HPLC method for PTZ

S. No. Parameters Description/results
1 Chromatographic column Inertsil ODS C18 column
2 Column description 250 mm × 4.6 mm i.d., 5 μm
3 Column temperature Ambient
4 % Aqueous 40% (pH 3.0 with OPA)
5 Organic phase Methanol
6 Flow rate 1.0 mL/min
7 Detection 289 nm (PDA)
8 Run time 20 min
9 Injection volume 20 μL
10 Injection mode Manual
11 Elution mode Isocratic
12 Retention time 10.3 ± 0.1 min
13 Resolution More than 5
14 Repeatability 0.45 (% RSD)
15 Theoretical plates >4500
Figure 2.
Figure 2.

Optimized chromatogram of pantoprazole on C18 column at 290 nm

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

2.4. Preparation of Calibration Standards of PTZ

Ten milligrams of PTZ was accurately weighed and dissolved in 10 mL of HPLC-grade methanol and made up to the volume with water to get primary stock (1000 μg/mL). From these, respective aliquots were diluted using the mobile phase to achieve different concentrations of 5, 10, 15, 20, and 25 μg/mL (Calibration Standard solutions). All standards were injected under the optimized chromatographic conditions in triplicate, and the mean value was used to construct the linearity plot. The regression coefficient was used to validate the concentration range, and the regression equation was used to quantify PTZ (Table 3).

Table 3.

Degradation profile of pantoprazole by various stress conditions for oxidative and photolytic degradation by HPLC–DAD

Stress Duration Degradation products Total Imp. % Deg. Mass balance
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
Oxidative degradation
H2O2 24 h Yes Yes Yesa Yes Yesa 5 11.2 94.13
AIBN 24 h Yesa Yes Yes Yesa Yes Yes Yes Yesa Yes Yes Yes 11 17.2 98.26
KNO3 24 h Yes Yes Yes Yes Yes Yes Yes Yes 8 7.84 96.77
Aerator 24 h Yes Yes Yes Yes Yes Yes 5 10.8 87.75
Photo degradation
Sun light 8 h Yesa Yes Yes Yes Yes Yesa Yes Yes 8 52.7 85.21
UV light 4 h Yes Yesa Yes Yesa Yes Yes Yesa 7 16.3 89.12
Visible 12 h Yes 1 5.5 92.73
t R Min 2.5 3.18 3.4 3.9 4.6 5.3 5.6 6.2 7.3 7.7 8.1 8.3 8.8 9.4 12.3 13.6 14.2 15.2

Detected in pantoprazole injection formulation under the same conditions.

2.5. Stress Degradation Studies of PTZ

The degradation of the PTZ drug substance was performed under various oxidative and photolytic stress conditions at room temperature. Each degradation study is detailed in the following section. Degradation was induced to a PTZ drug substance at a concentration of 1000 μg/mL. The suitable aliquot was made up to the volume 10 mL to get a test sample concentration of 15 μg/mL. The overlay of chromatograms of blank, control, and test stress sample injections was used to identify the formed degradation product. The % degradation was calculated based on peak areas of the degraded PTZ sample and PTZ standard (Control). The % degradation of 15–20% was considered as the endpoint for sample analyses. Results of degradation data of PTZ for all stress conditions were consolidated and are shown in Table 3.

2.6. Stress Degradation Studies of Pantoprazole Sodium Injection

Degradation study for PTZ sodium injection powder was carried out under the same conditions as adopted for the PTZ drug substance. The PTZ injection powder was appropriately weighed and used to prepare a concentration of 1000 μg/mL with suitable stress inducers. At the end of stress duration, the suitable aliquot was diluted to the volume of 10 mL to achieve a concentration of 15 μg/mL. The impurities detected in the chromatogram for the PTZ injection formulation are presented in Table 3.

2.7. Oxidative Stress Degradation

The oxidative stress degradation study was carried out using different oxidative agents, namely, hydrogen peroxide (0.3% H2O2), azobisisobutyronitrile (0.3% AIBN), potassium nitrate (0.3% KNO3), and oxygen (O2 aeration). For each stress type, stress stock solution for PTZ drug and its PTZ injection formulation (1000 μg/mL) was prepared as described above, with respective oxidizing agents at 0.3% concentration, except for O2 aeration where O2 was supplied to stock solution by an aerator for a period of 24 h. These solutions were kept at room temperature for oxidative decomposition.

Periodically, the stress sample size of 150 μL from the above stress stock solutions was withdrawn and diluted to 10 mL with the mobile phase (15 μg/mL). The PTZ drug substance sample was analyzed under the optimized chromatographic conditions at different time points 1, 4, 6, 12, 18, and 24 h. The number of degradation products (impurities) was noted based on retention time, and the % degradation was calculated based on peak areas of the PTZ control and the PTZ stress test sample. The degradation data are given in Table 3. The PTZ injection formulation sample was injected at 24 h. Chromatograms are shown in Figure 3A to 3D.

Figure 3A.
Figure 3A.

Chromatogram for oxidative degradation of pantoprazole by H2O2 at 24 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

Figure 3B.
Figure 3B.

Chromatogram for oxidative degradation of pantoprazole by AIBN at 24 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

Figure 3C.
Figure 3C.

Chromatogram for oxidative degradation of pantoprazole by KNO3 at 24 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

Figure 3D.
Figure 3D.

Chromatogram for oxidative degradation of pantoprazole under oxygen aeration at 24 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

2.8. Photolytic Stress Degradation

Photolytic degradation studies were carried out by exposing 10 mL of primary stock solution (1000 μg/mL) of PTZ drug substance and PTZ injection formulation to different types of light, namely, sunlight, UV light, and visible light. The PTZ drug samples were withdrawn periodically, diluted to 15 μg/mL, and was analyzed at 0 (control), 1, 2, 3, 4, 8, 12, and 24 h. The UV light used in the study was validated as per the ICHQ1B guidelines. The quinine actinometry method was used to fix the exposure time of light (not less than 1.2 million lux hours or an integrated UV light energy of less than 200 W h/m2). The consolidated degradation data is presented in Table 3. The PTZ formulation sample was injected at 4 h (UV), 12 h (visible), and 24 h (sunlight) time points. The results were compared with the PTZ drug substance data. Chromatograms are shown in Figure 4A to 4C.

Figure 4A.
Figure 4A.

Chromatogram for photolytic degradation of pantoprazole under sunlight at 12 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

Figure 4B.
Figure 4B.

Chromatogram for photolytic degradation of pantoprazole under UV light at 4 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

Figure 4C.
Figure 4C.

Chromatogram for photolytic degradation of pantoprazole under a visible lamp at 8 h

Citation: Acta Chromatographica Acta Chromatographica 32, 4; 10.1556/1326.2019.00709

2.9. Identification of Impurities

Based on the observation from the chromatogram of PTZ injection degradation chromatogram for oxidation at 24 h and photolysis at 1.2-million-lux-hour exposure, 3 common degradation products of PTZ, such as sulfone derivative of pantoprazole(5-(difluoromethoxy)-2-((3,4-dimethoxypyridin-2-yl)methylsulfonyl)-1H-benzo [d] imidazole), pantoprazole N-oxide (2-(((6-(Difluoromethoxy)-1H-benzo[d]imidazol-2-yl)sulfinyl)methyl)-3,4-dimethoxypyridine 1-oxide 6-(difluoromethoxy)-2-[(3,4-dimethoxy-1-oxidopyridin-1-ium-2-yl)methylsulfinyl]-1H-benzimidazole), and N-oxide of sulfone derivatives (2-(((6-(Difluoromethoxy)-1H-benzo[d]imidazol-2-yl)sulfonyl)methyl)-3,4-dimethoxypyridine 1-oxide 6-(difluoromethoxy)-2-[(3,4-dimethoxy-1-oxidopyridin-1-ium-2-yl)methylsulfinyl]-1H-benzimidazole), were identified by a spike method (Figure 1). In this spike procedure, 0.1 mL of the 1 μg/mL solution of these impurities was added to stress product samples of both photolytic and oxidative degradation. Then, the spiked stress samples were analyzed along with the control stress sample. The peak height of impurity peaks and PDA–UV spectrum of known impurity was used to identify the impurities.

2.10. Method Validation

The developed method was validated as per the ICH Q2 guidelines [2] for various parameters including specificity, linearity, precision, accuracy, limit of detection (LOD), limit of quantification (LOQ), and robustness. Results are shown in Table 4. The LOD and LOQ parameters were included in the validation to demonstrate the method sensitivity.

Table 4.

Results of analytical method validation for the developed RP-HPLC method for PTZ

Parameters Results Acceptance criteria
Specificity Pass (Peak purity >99%) No co-elution / Pass
Linearity 5–25 μg/mL (r2: 0.9995) >0.999 / Pass
Intermediate precision 10 μg/mL: 1.11% (RSD) <2% / Pass
15 μg/mL: 1.23% (RSD) <2% / Pass
20 μg/mL: 1.18% (RSD) <2% / Pass
Repeatability (RSD) 10 μg/mL: 0.59% <2% / Pass
15 μg/mL: 0.50% <2% / Pass
20 μg/mL: 0.49% <2% / Pass
Accuracy
80% level 98.9% 98–102% / Pass
100% level 99.3% 98–102% / Pass
120% level 101.7% 98–102% / Pass
LOD 0.025 μg/mL Not defined
LOQ 0.0825 μg/mL Not defined
Robustness
% Organic (±3%) 1.22% (RSD) <2% / Robust
pH (±0.2) 1.69% (RSD) <2% / Robust
Flow rate (±0.1 mL) 1.22% (RSD) <2% / Robust

3. Results and Discussion

3.1. Method Optimization

The objectives of this RP-HPLC method were to determine PTZ in the presence of its degradation products under various stress conditions with acceptable specificity, accuracy, and precision as per the ICH. The chemical structure of PTZ and its common degradation products are shown in Figure 1. The structural features and solubility profile of PTZ satisfied the choice of analytical technique and reversed mode of liquid chromatography. In the method development process, the ODS C18 column was employed as the stationary phase, while diode array detection (DAD) was chosen to monitor PTZ and its degradation product elution in a range of wavelength between 230 and 330 nm, but the PTZ quantification was based on detection at 290 nm. The method optimization trials were performed with a mixture of methanol and water as the mobile phase at increasing contents of aqueous phase, i.e., 80:20, 70:30, 65:35, and 60:40 (v/v; Table 1). The pH buffering was done at 3.0 and 3.5 with an ortho-phosphoric acid (OPA) buffer. The flow rate was controlled at 1 mL/min. During this method development stage, we found that there was a persistent increase in the retention of PTZ with the increase in % aqueous composition. The effect of pH was negligible on the retention of PTZ, but there was a moderate effect on the tailing of PTZ peak at pH 3.5. Thus, the pH was reduced to 3.0 to minimize the tailing factor for PTZ peak. The optimized method was tested for stressed samples for resolution (>2) of PTZ from impurities and demonstrated its specificity to PTZ in the presence of all possible degradation products of PTZ. Thus, the optimized condition eluted the PTZ at 10.3 ± 0.1 min with acceptable system suitability parameters as shown in Figure 2 and Table 2. The resolution between PTZ and other impurities was more than 2, and the peak purity was more than 99%. Thus, the method was optimized to use in the stress degradation study of PTZ under various stress conditions. Finally, this method was validated as per the ICH Q2 guidelines (ICH, 2003).

3.2. Oxidative Degradation Studies

Oxidative degradation of PTZ drug substance and its injection powder formulation was performed using 4 stress conditions such as 0.3% H2O2, 0.3% AIBN, 0.3% KNO3, and O2 aeration in the solution state. After 24 h of stress period, 15 impurities were recorded in oxidative degradation of the PTZ drug substance. In detail, PTZ recorded 11 impurities with AIBN stress and 5 impurities with hydrogen peroxide stress. The potassium nitrate degraded the PTZ to produce 8 impurities. The % degradation of PTZ for AIBN stress was 17.2% and 11.2% for H2O2, stress. The AIBN degraded the PTZ relatively more as compared to other stress conditions. Comparing the effect of potassium nitrate with oxygen aeration, potassium nitrate induced more impurities than oxygen supply; nevertheless, the % degradation was in a reverse phenomenon. Among all stress conditions, 2 common impurities were found, i.e., impurity 3 (3.4 min) and impurity 4 (3.9 min). There are many stress reagent specific impurities formed; they are impurity 9 (for hydrogen peroxide) as observed in Figure 3A, impurity 11, 15, 17, 18 (for AIBN) as in Figure 3B, and impurity 5 and 10 (for potassium nitrate) as in Figure 3C. Impurities produced after 24 h of oxygen aeration is shown in Figure 3D. The retention time of each impurity is shown in Table 3. At 24 h, PTZ injection stressed sample showed the impurities in peroxide (impurity 6 and 14) and AIBN (impurity 2, 6, and 14) stressed samples. The other stress agents KNO3 and oxygen aeration did not produce any impurities in the PTZ injection formulation at 24 h.

3.3. Photolytic Degradation

The photolytic degradation of PTZ drug substance and its injection powder formulation was carried out using sunlight, UV, and visible light in solution state. The percentage of degradation and impurity data were compiled at 1.2 million lux hours of light exposure. For PTZ drug substance, the comparative data showed the formation of 11 degradation products. Among the stress conditions employed, UV light produced more impurities (8 degradation products), then followed by sunlight (7 degradation products) at 1.2 million-lux-hour exposure duration. The visible light irradiation showed only one impurity (at 12 h). Interestingly, there are only 4 degradation products (impurity 2, 3, 7, and 14), which were common between sunlight (8 h) and UV light exposure (4 h); further, it was noted that sunlight produced the highest degradation of 52.7% compared to the UV light exposure (16.2%). The degradation products, impurity 8 (6.2 min), impurity 11 (8.1 min), impurity 15 (12.3 min), and impurity 16 (13.6 min) are sunlight specific, as shown in Figure 4B, whereas, impurity 1 (2.5 min), impurity 6 (5.3 min), and impurity 12 (8.3) are UV-light specific, as shown in Figure 4A. The impurity produced by visible light at 7.7 min (impurity 10), shown in Figure 4C, was similar to the oxidation product produced in potassium nitrate stress. The detailed degradation data including mass balances are presented in Table 3. At the end of the 1.2 million-hour exposure, PTZ injection stressed sample produced impurities in sunlight (impurity 2 and 14) and UV light (impurity 2, 6, and 14) stressed samples, whilst the visible light irradiation did not induce degradation.

3.4. Identification of Impurities

Table 3 shows that there are 3 degradation products (impurity 1, 12, and 16) specific to photolysis and 6 degradation products (impurity 4, 5, 9, 13, 17, and 18) specific to oxidation. We noted that there was a significant difference in the % degradation and number of impurities formed in different stresses employed. Based on the information obtained from the degradation data of PTZ and its PTZ injections, there were 3 impurities of drug products, namely, sulfone derivative of pantoprazole (impurity 14 at 9.4 min), pantoprazole N-oxide (impurity 6 at 5.3 min), and N-oxide of sulfone derivatives (impurity 2 at 3.1 min) identified by a spike method. These impurities were added to the stress sample at 1 μg/mL concentration. The identified impurities were common in both photolytic and oxidative degradation. It was noted that N-oxide of sulfone derivatives (impurity 2 at 3.1 min) was found only with AIBN-induced oxidation but not with hydrogen peroxide at the 24th hour. The pantoprazole N-oxide was found with UV light exposure but not with sunlight exposure. It was observed that the above three impurities were detected in pantoprazole injection formulation under the same stress conditions. The reason for the low level of impurities may be due to its sodium salt form, which has already supported by the report by Ronald F Donnelly [19]. Thus, our study concurs the earlier [19] report that sodium salt of pantoprazole reduced the susceptibility of pantoprazole from intense degradation.

3.5. Validation of the Method

The developed RP-HPLC method was validated for all validation parameters as per the ICH Q2 guidelines, including specificity, linearity, repeatability, intermediate precision, accuracy, the limit of detection, the limit of quantification, and robustness test. The PTZ solution of 15 μg/mL was used throughout the method validation to ensure the system suitability (SST). The specificity of the method was verified by using stress sample analyses. The method was found to be specific for PTZ with a resolution of more than 2 from impurity 14 and impurity 15. Further, the DAD signal at 290 nm showed an acceptable peak purity of >99% and satisfied the purity threshold and purity angle criteria. The linearity of the method was tested for the concentration range from 5 to 25 μg/mL. The value of correlation coefficient (r2) was 0.9995 (y = 69,489x + 20,257), indicating the acceptable quantification limit. Precision and accuracy were studied at 15 μg/mL. The %RSD values for repeatability (n = 9; intra-day precision) and intermediate precision (n = 3; inter-day precision) were < 0.6% and < 1.5%, respectively. This indicated that the method was highly precise. The accuracy of the method was tested by a recovery study at 80%, 100%, and 120% levels using a placebo mixture and PTZ injection formulation. The respective % accuracy values for these levels were 98.9%, 99.3%, and 101.7%. Thus, concerning the acceptance criteria (Table 4), the developed method was highly accurate and precise. As per the ICHQ2, though the LOD and LOQ parameters are not needed for assay procedure, the respective values were still calculated to assess the sensitivity of the method, and it was found that the LOD of 0.25 μg/mL and the LOQ of 0.825 μg/mL indicated high method sensitivity. The robustness of the developed method was tested for 3 critical method parameters, such as a change in flow rate (±0.1 mL/min), mobile phase composition (±2%), and pH (±0.2). The retention time and peak area were used method responses to assess the robustness of the method. Robustness tests revealed that the method was robust for the entire tested method variable within the test range. It was noted that the effect of pH on method precision was considerably affected by the increased %RSD to 1.69% for precision (should be less than 2%), but the retention time was less affected. This indicated that the pH of the mobile phase should be considered as the most important method variable while performing analysis for PTZ. Overall, the developed method passed the validation criteria as per the ICHQ2 guidelines.

4. Conclusion

The developed method has demonstrated a total of 18 impurities as degradation products of pantoprazole under various stress inducers belonging to oxidative and photolytic degradations. It was concluded that there are significant differences observed in % degradation and the number of impurities formed in different stress conditions employed. Thus, 3 degradation products (impurity 1, 12, and 16) can be concluded as specific to photolysis, whereas 6 degradation products (impurity 4, 5, 9, 13, 17, and 18) were specific to oxidation. The other identified impurities were common impurities of both photolytic and oxidative degradation. Three impurities of drug products, namely, sulfone derivative of pantoprazole (impurity 14 at 9.4 min), pantoprazole N-oxide (impurity 6 at 5.3 min), and N-oxide of sulfone derivatives (impurity 2 at 3.1 min), were detected.

5. Conflict of Interest

Authors convey no conflict of interest.

Acknowledgments

The authors wish to thank Walksman Salesman Pharmaceutical Private Limited, Anantapur for providing the pantoprazole gift sample for this study. Authors are thankful to Ms. Mounika Bai for support in DST-FIST facility of Raghavendra Institute of Pharmaceutical Education and Research, Anantapur, AP, India.

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    • Search Google Scholar
    • Export Citation
  • 3.

    Reynolds, D. W.; Facchine, K. L.; Mullaney, J. F. Pharm. Technol. 2002, 26, 48.

  • 4.

    Brummer H. Life Sci. Technol. Bull. 2011, 1, 1.

  • 5.

    Gupta, K. R.; Chawla, R. B.; Wadodkar, S. G. Orbital: Electron. J. Chem. 2010, 2, 181.

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    Wahbi, A. M.; Abde Razak, O.; Gazy, A. A.; Mahgoub, A.; Moneeb, M. S. J. Pharm. Biomed. Anal. 2002, 30, 1133.

  • 7.

    Syed, A.; Syeda, A. Indian J. Pharm. Sci. 2008, 70, 507.

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    Prasanna, R. B.; Kirankumar, R. N. Int. J. ChemTech Res. 2009, 1, 195.

  • 9.

    Letica, J.; Markovic Zirojevic, S. J.; Nikolic, K.; Agbaba, D. J. AOAC Int. 2010, 93, 1121.

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    Ramakrishna, N. V. S.; Vishwottam, K. N.; Wishu, S.; Koteshwara, M. J. Chromatogr. B: Anal. Technol. Biomed. Life Sci. 2005, 822, 326.

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    • Crossref
    • Search Google Scholar
    • Export Citation
  • 12.

    Dotsikas, Y.; Apostolou, C.; Soumelas, S.; Kolocouri, F.; Ziaka, A.; Kousoulos, C.; Loukas, Y. L. J. AOAC Int. 2010, 93, 1129.

  • 13.

    Challa, B. R.; Boddu, B. R.; Awen, B. Z.; Chandu, B. R.; Bannoth, C. K.; Khagga, M.; Kanala, K.; Shaik, R. J. Chromatogr. B: Anal. Technol. Biomed. Life Sci. 2010, 878, 1499.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 14.

    Patel, B. H.; Suhagia, B. N.; Patel, M. M.; Patel, J. R. J. AOAC Int. 2007, 90, 142.

  • 15.

    Deepak Bageshwar, V.; Khanvilkar, V. K. J. Pharm. Anal. 2011, 1, 275.

  • 16.

    Radi A. J. Pharm. Biomed. Anal. 2003, 33, 687.

  • 17.

    Krishna, R. G.; Rajesh, B. C.; Sudhir, G. W. Orbital: Electron. J. Chem. 2010, 2, 209.

  • 18.

    Reddy, G. M.; Bhaskar, B. V.; Reddy, P. P.; Ashok, S.; Sudhakar, P.; Babu, J. M.; Vyas, K.; Mukkanti, K. J. Pharm. Biomed. Anal. 2007, 45, 201.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • 19.

    Ronald F. D. ; Can. J. Hosp. Pharm. 2011, 64, 192.

  • 20.

    Walker, S.; Iazzetta, J.; Law, S. Can. J. Hosp. Pharm. 2009, 62,135.

  • 21.

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    Johnson C. E . Am. J. Health-Syst. Pharm. 2005, 62, 2410.

  • Collapse
  • Expand

Senior editors

Editor(s)-in-Chief: Sajewicz, Mieczyslaw, University of Silesia, Katowice, Poland

Editors(s)

  • Danica Agbaba, University of Belgrade, Belgrade, Serbia (1953-2024)
  • Łukasz Komsta, Medical University of Lublin, Lublin, Poland
  • Ivana Stanimirova-Daszykowska, University of Silesia, Katowice, Poland
  • Monika Waksmundzka-Hajnos, Medical University of Lublin, Lublin, Poland

Editorial Board

  • Ravi Bhushan, The Indian Institute of Technology, Roorkee, India
  • Jacek Bojarski, Jagiellonian University, Kraków, Poland
  • Bezhan Chankvetadze, State University of Tbilisi, Tbilisi, Georgia
  • Michał Daszykowski, University of Silesia, Katowice, Poland
  • Tadeusz H. Dzido, Medical University of Lublin, Lublin, Poland
  • Attila Felinger, University of Pécs, Pécs, Hungary
  • Kazimierz Glowniak, Medical University of Lublin, Lublin, Poland
  • Bronisław Glód, Siedlce University of Natural Sciences and Humanities, Siedlce, Poland
  • Anna Gumieniczek, Medical University of Lublin, Lublin, Poland
  • Urszula Hubicka, Jagiellonian University, Kraków, Poland
  • Krzysztof Kaczmarski, Rzeszow University of Technology, Rzeszów, Poland
  • Huba Kalász, Semmelweis University, Budapest, Hungary
  • Katarina Karljiković Rajić, University of Belgrade, Belgrade, Serbia
  • Imre Klebovich, Semmelweis University, Budapest, Hungary
  • Angelika Koch, Private Pharmacy, Hamburg, Germany
  • Piotr Kus, Univerity of Silesia, Katowice, Poland
  • Debby Mangelings, Free University of Brussels, Brussels, Belgium
  • Emil Mincsovics, Corvinus University of Budapest, Budapest, Hungary
  • Ágnes M. Móricz, Centre for Agricultural Research, Budapest, Hungary
  • Gertrud Morlock, Giessen University, Giessen, Germany
  • Anna Petruczynik, Medical University of Lublin, Lublin, Poland
  • Robert Skibiński, Medical University of Lublin, Lublin, Poland
  • Bernd Spangenberg, Offenburg University of Applied Sciences, Germany
  • Tomasz Tuzimski, Medical University of Lublin, Lublin, Poland
  • Adam Voelkel, Poznań University of Technology, Poznań, Poland
  • Beata Walczak, University of Silesia, Katowice, Poland
  • Wiesław Wasiak, Adam Mickiewicz University, Poznań, Poland
  • Igor G. Zenkevich, St. Petersburg State University, St. Petersburg, Russian Federation

 

SAJEWICZ, MIECZYSLAW
E-mail:mieczyslaw.sajewicz@us.edu.pl

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Acta Chromatographica
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