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Abstract

A robust, accurate, and stability-indicating RP-HPLC method was developed and validated for the simultaneous estimation of Atazanavir and Cobicistat in their tablet dosage form using a Quality by Design (QbD) approach. A fractional factorial design was applied to screen critical method parameters, including flow rate, mobile phase pH, and injection volume. Analysis of variance (ANOVA) confirmed that these three factors significantly impacted method performance. Chromatographic separation was achieved on a Hypersil BDS C18 column (250 × 4.6 mm, 5 ?m) using a mobile phase of phosphate buffer (pH 4.0) and methanol in a 50:50 ratio, at a flow rate of 1.0 mL/min. Detection was carried out at 240 nm. Retention times were 3.750 min for Atazanavir and 6.084 min for Cobicistat. The method was validated as per ICH Q2(R1) guidelines and showed good linearity, accuracy, precision, and specificity, with no interference from degradation products. The developed method is simple, reliable, and suitable for routine quality control analysis of Atazanavir and Cobicistat in fixed-dose combination tablets.

Keywords

Atazanavir, Cobicistat, RP-HPLC method, Validation, HIV, Quality by Design, Stability Indicating

Introduction

HIV (Human Immunodeficiency Virus) is primarily transmitted through the exchange of bodily fluids such as blood, semen, vaginal secretions, and breast milk. Common routes of transmission include unprotected vaginal or anal sex, sharing of contaminated needles, and from an infected mother to her child during pregnancy, childbirth, or breastfeeding (1). HIV compromises the immune system by destroying specific white blood cells, increasing susceptibility to infections and cancers. Initial symptoms may include fever, rashes, swollen lymph nodes, and fatigue, which can subside, leading to a long asymptomatic phase. Without treatment, HIV progresses to AIDS (acquired immunodeficiency syndrome), marked by severe infections and malignancies. Diagnosis is confirmed through blood tests that detect antibodies or measure the viral load. While tears, urine, and saliva may contain trace amounts of the virus, transmission through these fluids is extremely rare (2). Sexual contact remains the most common method of HIV transmission, especially in the absence of condom use. Risk increases with the presence of genital sores or high viral loads. In healthcare settings, needle-stick injuries can pose a transmission risk, though post-exposure treatment significantly reduces it. Vertical transmission from mother to child can occur during all stages of childbirth and through breastfeeding. In medical settings, HIV can be transmitted through transfusions with contaminated blood or unsterilized instruments (3). Regarding antiretroviral therapy, the fixed-dose combination drug EVOTAZ includes Atazanavir and Atazanavir is a protease inhibitor with antiviral activity against HIV. It is metabolized primarily through CYP3A pathways (2,4). Cobicistat acts as a pharmacokinetic enhancer by inhibiting CYP3A enzymes, thereby increasing Atazanavir’s effectiveness without possessing antiviral properties itself (5,6). Both drugs have well-defined physicochemical properties, including high molecular weights and low aqueous solubility (Figure 1).

       
            Structure of Atazanavir and Cobicistat.png
       

Figure 1 Structure of Atazanavir and Cobicistat

In the pharmaceutical field, quality assurance is vital for ensuring drug safety and efficacy. Analytical methods, particularly High-Performance Liquid Chromatography (HPLC), play a crucial role in drug analysis, standardization, and quality control. HPLC is favored for its high sensitivity, selectivity, and precision. There are two primary modes of HPLC used in pharmaceuticals: Normal Phase and Reverse Phase. Reverse Phase HPLC is most common, where non-polar stationary phases are used, and polar compounds elute first. It is ideal for analyzing the mostly polar pharmaceutical compounds. HPLC methods must be validated according to ICH guidelines, covering parameters like accuracy, precision, specificity, detection limits, quantitation limits, linearity, range, and robustness. Method validation ensures reliability and accuracy in drug testing. Forced degradation studies are critical in developing stability-indicating methods. These studies expose drug substances to stress conditions such as heat, light, pH extremes, and oxidation to understand degradation pathways and product stability. However, no Stability indicating RP-HPLC method have been reported with Greenness assessment for simultaneous estimation of ATZ and CBC utilizing the Analytical Quality by Design approach (7–20). The concept of Quality by Design (QbD) in analytical development emphasizes a systematic approach that integrates risk assessment, process understanding, and control strategies. QbD enhances method robustness, reduces variability, and facilitates smoother regulatory compliance and technology transfers (21,22). In conclusion, effective HIV management involves understanding transmission, employing reliable diagnostic and analytical methods, and using optimized drug formulations. Scientific rigor in analytical development ensures drug quality, safety, and therapeutic efficacy, with drugs like Atazanavir and Cobicistat forming essential components of modern HIV treatment regimens.

MATERIALS AND METHODS

Chemicals

Atazanavir and Cobicistat Standard gift samples were provided by Zydus LifeScience. Water, Methanol, Acetonitrile and Ortho Phosphoric Acid (HPLC grade) was used for development purpose. (Merck). EVOTAZ formulation was obtained from Local Market.

Instrumentation and chromatographic conditions

A Shimadzu high-performance liquid chromatography (HPLC) system was used to create the approach. This system was managed by LC Solution software and had a PDA detector, sample manager, solvent degasser, and quaternary solvent manager. It also had a column oven to regulate the analytical column's temperature and a cooling auto-sampler. Weighing was done precisely with a Shimadzu analytical balance. Using a reverse-phase Hypersil BDS C18 (250 X 4.6 mm) (5μm), chromatographic separation was accomplished. A mobile phase consisting of Phosphate Buffer pH 4 (adjusted with ortho phosphoric destructive): Methanol (65: 35) v/v % in a v/v ratio was used in the isocratic elution process. The flow rate was maintained at 0.95 ml/min, and the eluents were monitored with a PDA detector set at 257 nm. Design Expert 13.0 trial version was used for designing the experiments.

Preparation of standard solution

To prepare the standard stock solution of Atazanavir (ATZ), approximately 300 mg of the working standard was accurately weighed and transferred into a 100 mL volumetric flask, followed by the addition of methanol. The solution was sonicated for 5 minutes and then diluted to volume with methanol. From this solution, 1 mL was pipetted into another 100 mL volumetric flask and diluted to volume with diluent, then mixed well. Similarly, for the Cobicistat (CBC) stock solution, about 150 mg of the working standard was accurately weighed and transferred into a 100 mL volumetric flask. Methanol was added, the solution was sonicated for 5 minutes, and the volume was made up with methanol. From this, 1 mL was transferred into a separate 100 mL volumetric flask, diluted to volume with diluent, and mixed thoroughly.

Preparation of sample solution

Accurately weigh 2 mg powder to be examined in 100 ml volumetric flasks. Add about 50 ml of diluents and sonicated to dissolve it completely and make volume up to the mark with diluents. From above solution 1 ml aliquot was transferred in 10 ml volumetric flask and diluted up to the mark with diluents.

Selection of detection wavelength

To determine wavelength for measurement, standard spectra of ATZ and CBC were scanned between 200-400 nm against. The wavelength was selected for analysis of both the drugs was 240 nm.

Method Development and Optimization through QbD approach

Identification of ATP, CMAs, and Risk Assessment

The Analytical Target Profile (ATP) is essential for determining the critical variables needed to guarantee the quality attributes and method goals during the development of analytical methods. The ATP includes elements including the sample's properties, the analyst's experience, and the analytical methods used. All of these elements work together to effectively design and optimize the analytical procedure. Identification of ATP was made after literature search and initial risk assessment in which were followed studies that present different methods for determining HPLC, respectively, the implementation of QbD principles in the development of HPLC methods. The selected CMPs were related to a Flow Rate, pH of Mobile phase- Buffer (pH 4) and Injection Volume. An Ishikawa (fishbone) diagram was employed to identify potential risks and root causes that could impact the performance of the RP-HPLC method.

Design of experiment (DOE)

For decades HPLC development was based on a trial and error methodology, but employing a time-consuming trial-and-error approach resulting only in an apparent optimum and information concerning the sensitivity of the factors on the analytes separation and interaction between factors is not available. To achieve this objective, any one of the Chemometrics methods which includes the overlapping resolution maps, factorial design and response surface methodology can be applied. The best experimental design approach for the purpose of modeling and optimization are the response surface design. CCD (Central Composite Design) is chosen due to its flexibility and can be applied to optimize an HPLC separation by gaining better understanding of factor’s main and interaction effects. CCD is more advantageous than Box-Behnken design because in CCD, design space is larger due to axial point. The selection of key factors examined for optimization was based on preliminary experiments. The factors selected for optimization process were Flow Rate (A), pH of Mobile phase- Buffer (pH 4) (B) and Injection Volume (C). Retention times of both drugs and Resolution between them were selected as Response. All experiments were conducted in randomized order to minimize the effects of uncontrolled variables that may introduce a bias on the measurements. A three factor CCD requires 19 experiments, including four center points using rotatable CCD design.

Force Degradation

In order to demonstrate the stability of both the standard and sample solutions during analysis, both solutions were analyzed over a period of 24 h at room temperature. The results indicated that for both the solutions, the retention time and peak area of ATZ and CBC did not show much% difference. There was no significant degradation within the indicated period. Hence, it was concluded that both the solutions were stable for 24 h at room temperature

Analytical method development

Linearity

Linearity is expressed in teams of correlation co-efficient of liner regression analysis. Standard calibration curves were constructed using five standard calibration solutions in a concentration range 15- 120 μg/ml of ATZ and 7.5-60 μg/ml of CBC. Each solution was chromatographed using spinchrom software and scanned between 200-400 nm and spectra were recorded.

Precision

The precision of the method was confirmed through repeatability, inter-day, and intra-day studies by analyzing different concentrations of Atazanavir (ATZ) and Cobicistat (CBC). Results showed consistent % RSD values, indicating that the method is reliable and reproducible for accurate quantification of both drugs.

Recovery studies

The accuracy of the method was determined by calculating recovery of ATZ and CBC by standard addition method. The known amount of standard solutions of ATZ (15, 30, 60) and CBC (7.5, 15, 30 μg/ml) and were added to a pre-determined sample solution of ATZ (30 μg/ml) and CBC (15 μg/ml). Each response was average of three determinations. The percentage recovery was calculated by measuring the absorbance and fitting these values into the regression equation of respective calibration curves.

Limit of quantification (LOQ) & Limit of detection (LOD)

From the set of 6 calibration curves that were used to assess the linearity of the procedure, the LOQ & LOD was estimated. The LOQ & LOD could be computed as

LOQ = 10 σ/s, LOD = 3.3 σ/s

Where, σ = the SD of the response. S = the slope of the calibration curve

Specificity

The analytical method for specificity was evaluated by injecting the following solutions. Diluent was prepared and inject into the HPLC system in triplicate. Sample solution was prepared with appropriate levels of excipients as a placebo sample and inject into the HPLC system in triplicate for all the dosage strengths. Placebo was prepared by mixing all excipients without active ingredients. Standard and sample solutions were prepared for assay (100% Conc.) and inject into the HPLC system in triplicate.

Robustness

The robustness study was conducted to assess the effect of small, intentional variations in chromatographic conditions on method performance. Parameters such as flow rate (±0.2 mL/min) and pH (±0.2 units) were slightly altered. Following each change, the sample solution was injected, and the assay results along with system suitability parameters were evaluated to ensure the method remained reliable and consistent under varied conditions.

RESULTS AND DISCUSSION

Method development studies

Using a reverse-phase Hypersil BDS C18 (250 X 4.6 mm) (5μm), chromatographic separation was accomplished. A mobile phase consisting of Phosphate Buffer pH 4 (adjusted with ortho phosphoric destructive): Methanol (65: 35) v/v % in a v/v ratio was used in the isocratic elution process. The flow rate was maintained at 0.95 ml/min, and the eluents were monitored with a PDA detector set at 257 nm.

Utilization of CCD method for Optimization of RP-HPLC method

Central Composite Design (CCD) was selected for its flexibility and ability to effectively evaluate both main and interaction effects of variables in HPLC optimization. CCD is preferred over the Box-Behnken design due to its larger design space, made possible by axial points. Based on preliminary studies, three critical factors were chosen: Flow Rate (A), pH of the Mobile Phase Buffer (B), and Injection Volume (C). The responses selected were the retention times of both drugs and the resolution between them. A total of 19 randomized experiments were conducted using a rotatable CCD model, including four center points, to ensure robustness and minimize bias from uncontrolled variables. The design matrix and results are detailed in which also includes chromatograms corresponding to selected experimental conditions.

Model Selection and statistical parameters obtained from ANOVA

The selection of model was done which have lowest PRESS value and r2 value was nearer to 1 as shown in Table 2. Investigation of the associated probability revealed that for response 1 (Retention time (Rt) of ATZ), 2 (Retention time (Rt) of CBC) and 3 (Resolution between ATZ and CBC (Rs)) Quadratic models resulted in the best fitted. In this work, the following quadratic model was used to describe the response surface for response 1-3 respectively. 3D- response surface plots for each variable in explain effect of the CMPs on CAAs. Critical parameters such as Flow Rate, pH of the Mobile Phase Buffer, and Injection Volume are significant interaction on peak area. The curve graphs indicate the significant effect of all three parameters over retention time and resolution. Retention time (Rt) of ATZ (Y1): +3.65 + 0.0131 A+ 0.0639 B + 0.1269 C + 0.0273 AB + 0.0233 AC - 0.0605 BC +0.1026 A² - 0.1679 B² -0.1034 C². The positive coefficient of factor A, B and C suggests that the Retention time of ATZ is directly proportional to Flow Rate (A), Mobile phase- Buffer (pH 4) (B) and Injection Volume (C) (Figure 2).

Retention time (Rt) of CBC (Y2): +6.05 - 0.0095 A+ 0.0218 B + 0.0714 C + 0.0186 AB + 0.0079 AC - 0.0159 BC + 0.0320 A² + 0.0200 B² + 0.0483 C². The positive coefficient of factor B and C suggests that the Retention time of FOR is directly proportional to Mobile phase- Buffer (pH 4) (B) and Injection Volume (C). The negative value of Flow Rate (A) factor indicates less or no significant effect of A. Hence Retention time of CBC increases with increase in Mobile phase- Buffer (pH 4) (B) and Injection Volume (C) (Figure 3). Resolution between ATZ and CBC (Rs)  (Y3): +11.23 - 0.0679 A+ 0.1040 B +0.1029 C -0.0912 AB -0.0512 AC +0.0738 BC - 0.0419 A² - 0.0472 B² + 0.2055 C². The positive coefficient of factor B and C suggests that the Resolution between ATZ and CBC is directly proportional to Mobile phase- Buffer (pH 4) (B) and Injection Volume (C). The negative value of Flow Rate (A) factor indicates less or no significant effect of A. Hence Resolution between ATZ and CBC increases with increase in Mobile phase- Buffer (pH 4) (B) and Injection Volume (C) (Error! Reference source not found.).

Table 1 Central Composite rotatable design arrangement and responses

 

 

Factor 1

Factor 2

Factor 3

Response 1

Response 2

Response 3

Std

Run

A: Flow rate

B: Buffer (pH 4)

C:  Injection volume

Retention time (Rt) of ATZ

Retention time (Rt) of CBC

Resolution between ATZ and CBC (Rs)

 

 

mL/min

 

mL

Min

Min

 

11

1

1

3.1591

20

3.025

6.098

10.99

3

2

0.8

4.5

15

3.298

6.123

11.36

2

3

1.2

3.5

15

3.132

6.025

11.12

17

4

1

4

20

3.75

6.084

11.18

6

5

1.2

3.5

25

3.789

6.198

11.25

4

6

1.2

4.5

15

3.541

6.125

11.22

1

7

0.8

3.5

15

3.256

6.031

11.23

10

8

1.33636

4

20

3.852

6.089

11.11

16

9

1

4

20

3.652

6.036

11.14

12

10

1

4.8409

20

3.295

6.122

11.21

8

11

1.2

4.5

25

3.698

6.301

11.31

19

12

1

4

20

3.298

6.025

11.11

5

13

0.8

3.5

25

3.562

6.239

11.23

9

14

0.663641

4

20

3.998

6.199

11.12

20

15

1

4

20

3.696

6.054

11.21

13

16

1

4

11.591

3.256

6.089

11.65

18

17

1

4

20

3.798

6.059

11.36

14

18

1

4

28.409

3.429

6.291

11.98

15

19

1

4

20

3.693

6.069

11.36

7

20

0.8

4.5

25

3.62

6.201

11.99

Table 2 Summary of results of regression analysis for models and responses

 

Source

Std. Dev.

R-Squared

Adjusted

R-Squared

Predicted

R-Squared

%CV

P-value

Precision (Adequate)

Y1

Quadratic

0.1682

0.7909

0.6027

0.1000

4.76

0.0176

7.5199

Y2

0.0361

0.9084

0.8260

0.3801

0.58

0.0004

11.805

Y3

0.1307

0.8761

0.7645

0.2585

1.16

0.0017

11.497

       
            Figure 2.png
       

Figure 2 Three-dimensional plots of (A) Variation in Retention time (Rt) of ATZ as function of A and B while fixed factor C, (B) Variation in Retention time (Rt) of ATZ as function of A and C while fixed factor B (C) Variation in Retention time (Rt) of ATZ as function of C and B while fixed factor A

       
            Figure 3.png
       

Figure 3 Three-dimensional plots of (A) Variation in Retention time (Rt) of CBC as function of A and B while fixed factor C, (B) Variation in Retention time (Rt) of CBC as function of A and C while fixed factor B, (C) Variation in Retention time (Rt) of CBC as function of C and B while fixed factor A

       
            Figure 4.png
       

Figure 4 Three-dimensional plots of (A) Variation in Resolution between ATZ and CBC (Rs) as function of A and B while fixed factor C, (B) Variation in Resolution between ATZ and CBC (Rs) as function of A and C while fixed factor B, (C) Variation in Resolution between ATZ and CBC (Rs) as function of C and B while fixed factor A

Table 3 Comparison of experimental and predictive value of different experimental runs under optimum conditions

Optimum

Conditions

Response

 

Responses

(predicted)

Responses

(observed)

Predicted

error %

1

Retention time (Rt) of ATZ

3.721

3.750

0.779

Retention time (Rt) of CBC

6.068

6.084

0.263

Resolution between ATZ and CBC

11.15

11.18

0.269

From the %predicted error, it is concluded that a set of coordinates producing high desirability value (D = 1) at condition 1. Hence, Condition 1 had been proposed for selecting an optimum experimental condition for analyzing. The optimized solution showed the mobile phase composition containing Phosphate Buffer pH 4 (adjusted with ortho phosphoric destructive): Methanol (65: 35) v/v % in a v/v ratio, detection 257 nm and flow rate 1 ml/min yielded desirability close to 1.0 along with all the CAAs in the desired range. Under the chromatographic condition employed standard ATZ and CBC have shown sharp peaks and good separation show in Figure 5.

       
            Figure 5.png
       

Figure 5 Final Optimized Chromatogram of High-performance liquid chromatography of standard

Table 4 Optimized Chromatographic condition for the estimation of ATZ and CBC by HPLC

Parameter

ATZ

CBC

 

Mean

± SD (n=3)

RSD

Mean

± SD (n=3)

RSD

Retention time (Rt)

3.750

0.01

0.05

6.084

0.01

0.02

Tailing Factor

1.327

0.02

1.83

1.206

0.02

1.43

Number of theoretical plates

9511

31.88

0.47

7645

51.12

0.60

Resolution (Rs)

11.18

0.01

0.07

11.18

0.01

0.07

Force Degradation study

Optimized method was found to be stability indicating as it is able to separate all the degradation products in the presence of active ingredient. (Figure 6, Figure 7, Figure 8, Figure 9, Figure 10) No degradation product found to interfere with estimation of ATZ and CBC in stressed samples. Even the stress given found to be optimum as % degradation observed was predictive in nature (below 15%)

       
            Figure 6 Acid Degradation.png
       

Figure 6 Acid Degradation

       
            Figure 7 Base Degradation.png
       

Figure 7 Base Degradation

       
            Figure 8 Oxidation Degradation.png
       

Figure 8 Oxidation Degradation

       
            Figure 9 Photo Degradation.png
       
    

Figure 9 Photo Degradation

       
            Figure 10 Thermal Degradation.png
       

Figure 10 Thermal Degradation

Table 5 Evaluation of Forced Degradation Studies

Stress Condition

Content

Area

No. of extra Peaks

% Degradation

0.1 N HCl

Std ATZ

219553

5

25.53

Std CBC

134204

3

20.24

Sample

ATZ

CBC

220148

133896

 

5

26.13

19.70

0.1 N NaOH

Std ATZ

219098

4

26.23

Std CBC

131489

3

18.25

Sample

ATZ

CBC

220553

129911

 

6

5

24.89

15.96

3 H2O2

Std ATZ

219461

4

21.26

Std CBC

133245

7

18.14

Sample

ATZ

CBC

220143

136514

 

1

1

22.12

17.65

Photo

Std ATZ

219258

1

21.56

Std CBC

133149

1

12.36

Sample

ATZ

CBC

219896

131489

 

2

2

20.21

13.96

Thermal

Std ATZ

218963

1

20.36

Std CBC

132589

1

14.14

Sample

ATZ

CBC

219865

132589

 

2

2

19.56

15.65

Method validation

Linearity

The linearity of ATZ and CBC were found between 15-120 μg/ml and 7.5-60 μg/ml respectively. The calibration data is presented in Table 6 and the overlain chromatogram of standard ATZ and CBC chromatogram are presented in Figure 11.

       
            Figure 11 Overlain Chromatogram of Overlain linearity spectra of ATZ.png
       

 Figure 11 Overlain Chromatogram of Overlain linearity spectra of ATZ (15-120 μg/ml) and CBC (7.5-60 μg/ml)

Precision

The % RSD for repeatability was found is 0.248 for ATZ and 0.609 for CBC. The %RSD for inter-day precision was 0.831-0.940 % for ATZ and 0.553-0.739 % for CBC. The %RSD for inter-day precision was 0.319-0.683 % for ATZ and 0.300-0.349 % for CBC

Recovery studies

The recovery study demonstrated the accuracy of the analytical method for Atazanavir (ATZ) and Cobicistat (CBC). The percentage recovery for ATZ ranged from 99.95% to 100.76%, and for CBC, it ranged from 98.66% to 101.77%, indicating high method accuracy. Recovery was assessed at four levels (0%, 50%, 100%, and 150%) by spiking known amounts of standard into pre-analyzed samples. The mean recovered amounts were consistent with the expected values, and the standard deviations were within acceptable limits, as presented in This confirms that the method is reliable for accurate quantification of both drugs in the given concentration range.

Limit of detection and limit of quantification

The Limit of Detection and Limit of Quantification were established to determine the sensitivity of the analytical method for ATZ and CBC. The LOD for ATZ was found to be 0.045 μg/mL and the LOQ 0.138 μg/mL, while for CBC, the LOD was 0.016 μg/mL and the LOQ 0.050 μg/mL.

Specificity

The analytical method for specificity was evaluated by injecting the following solutions. Diluent was prepared and inject into the HPLC system in triplicate. Sample solution was prepared with appropriate levels of excipients as a placebo sample and inject into the HPLC system in triplicate for all the dosage strengths. Placebo was prepared by mixing all excipients without active ingredients. Standard and sample solutions were prepared for assay (100% Conc.) and inject into the HPLC system in triplicate.

Robustness

The robustness was studied by the slight but deliberate change in parameters such as pH of mobile phase and flow rate. The % RSD of all parameters were found to be within limit, i.e. less than 2%.

Applicability of developed method

The developed analytical method was successfully applied to the evaluation of a commercially available tablet formulation, EVOTAZ, containing 300 mg of Atazanavir (ATZ) and 150 mg of Cobicistat (CBC). The percentage assay results were found to be 99.72 ± 0.449% for ATZ and 100.53 ± 1.12% for CBC. These values are within acceptable limits and closely match the label claims, confirming the method's accuracy and reliability for routine quality control of the marketed product.

Table 6 Method validation parameters for the estimation of ATZ and CBC by HPLC

Regression Analysis

ATZ

CBC

Concentration Range

15 -120 μg/ml

7.5 – 60 μg/ml

Regression equation

y = 1136.4x + 95263

y = 1845.8x + 66446

Correlation co-efficient

0.9987

0.9987

LOD (n = 5) (µg/mL)

0.045

0.016

LOQ (n = 5) (µg/mL)

0.138

0.050

Table 7 Accuracy data for ATZ and CBC.

Drug

Level of

Recovery

Amount of

Sample

(μg/ml)

Amount of Std.

added

(μg/ml)

Amount

recovery mean

± (μg/ml)

SD*

%

Recovery (n=3)

ATZ

0

30

0

30.23 ± 0.826

100.76

50

30

15

44.98 ± 0.460

99.95

100

30

30

60.21 ± 0.546

100.35

150

30

60

89.98 ± 1.025

99.97

CBC

0

15

0

15.2 ± 0.185

101.33

50

15

7.5

22.9 ± 1.050

101.77

100

15

15

29.6 ± 0.766

98.66

150

15

30

45.09 ± 0.849

100.2

CONCLUSION

A robust, simple, and selective RP-HPLC method was developed and validated for the simultaneous estimation of Atazanavir and Cobicistat in tablet dosage form using a Design of Experiments approach. Optimization was performed using Central Composite Design, with flow rate, pH, and injection volume identified as significant factors. The method showed excellent linearity, accuracy (99.95–101.77%), precision, and robustness. LOD/LOQ were 0.045/0.138 μg/mL for ATZ and 0.016/0.050 μg/mL for CBC. Retention times were 3.750 and 6.084 min. The method is suitable for routine quality control and stability studies, as per ICH Q2(R1) guidelines.

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  6. JASMINE K. ??No Title No Title No Title. Penambahan Natrium Benzoat Dan Kalium Sorbat Dan Kecepatan Pengadukan Sebagai Upaya Penghambatan Reaksi Inversi Pada Nira Tebu. 2014;10(11):49817.
  7. Mevada S, Shukla S, Patel H. Simultaneous estimation of andrographolide, apigenin, apocynin, and gallic acid by high-performance thin layer chromatography method with Greenness quality by design approach. Sep Sci Plus [Internet]. 2024 Jan 1 [cited 2024 Jul 18];7(1):2300109. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/sscp.202300109
  8. Mevada S, Patel H, Shukla S. Simultaneous equation method for the estimation of gallic acid and apigenin by UV–visible spectrophotometry. Accredit Qual Assur [Internet]. 2024 Feb 1 [cited 2024 Jul 26];29(1):11–7. Available from: https://www.researchgate.net/publication/376555906_Simultaneous_equation_method_for_the_estimation_of_gallic_acid_and_apigenin_by_UV-visible_spectrophotometry
  9. Dey S, Subhasis Patro S, Suresh Babu N, Murthy PN, Panda SK. Development and validation of a stability-indicating RP–HPLC method for estimation of atazanavir sulfate in bulk. J Pharm Anal [Internet]. 2017;7(2):134–40. Available from: http://dx.doi.org/10.1016/j.jpha.2013.12.002
  10. Mantripragada MKVVN, Rao S V., Nutulapati VVS, Mantena BPV. Simultaneous Determination of Impurities of Atazanavir and Ritonavir in Tablet Dosage Form by Using Reversed-Phase Ultra Performance Liquid Chromatographic Method. J Chromatogr Sci [Internet]. 2018 Mar 1 [cited 2024 Oct 11];56(3):270–84. Available from: https://dx.doi.org/10.1093/chromsci/bmx110
  11. Soundarya K, Hemant Kumar T, Manjunath SY. New RP-HPLC Method for the Estimation of Atazanavir sulphate in Pharmaceutical Dosage form. Res J Pharm Technol [Internet]. 2022 Jul 29 [cited 2024 Oct 11];15(7):2928–32. Available from: https://rjptonline.org/AbstractView.aspx?PID=2022-15-7-10
  12. Konidala SK, Sujana K, Rani AP. New Validated RP-HPLC method for the Determination of Atazanavir Sulphate in Bulk and Dosage form. Der Pharma Chem. 2012;4(3):1305–10.
  13. Mevada S, Patel H, Shukla S. Simultaneous equation method for the estimation of gallic acid and apigenin by UV–visible spectrophotometry. Accredit Qual Assur [Internet]. 2024 Feb 1 [cited 2024 Jul 18];29(1):11–7. Available from: https://link.springer.com/article/10.1007/s00769-023-01558-7
  14. Mevada S, Shukla S, U Patel H. Greenness Assessment of High-Performance Liquid Chromatography Method for Simultaneous Estimation of Apigenin, Apocynin, and Gallic Acid With Quality by Design Approach. Sep Sci Plus [Internet]. 2025 Jan 1 [cited 2025 Jan 24];8(1):e202400335. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/sscp.202400335
  15. Sharma S, Gauba P, Tyagi A, Dang S. Chitosan-modified polymeric nanoparticles for the nose-to-brain drug delivery of paroxetine: an in vitro and in vivo evaluation. Nanoscale [Internet]. 2025 Jan 16 [cited 2025 Apr 23];17(3):1687–702. Available from: https://pubs.rsc.org/en/content/articlehtml/2025/nr/d4nr04250f
  16. Mevada S, Shukla S, Patel H. Simultaneous estimation of andrographolide, apigenin, apocynin, and gallic acid by high-performance thin layer chromatography method with Greenness quality by design approach. Sep Sci Plus [Internet]. 2024 Jan 1 [cited 2024 Jul 26];7(1):2300109. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/sscp.202300109
  17. Nalini M, Haribabu B, Veni P. Stability Indicating RP-HPLC Method for Simultaneous Estimation of Atazanavir and Cobicistat in Tablets. Br J Pharm Res. 2016;11(6):1–10.
  18. Pavani C, Susithra E. A novel simultaneous high performance liquid chromatography-PDA method for the determination of Tenofovir AF, Darunavir, Emtricitabine and Cobicistat in bulk and its application to marketed formulation. Futur J Pharm Sci [Internet]. 2022;8(1). Available from: https://doi.org/10.1186/s43094-021-00390-5
  19. Godasu SK, Sreenivas SA. Determination of Simultaneous Estimation HPLC Method for Elvitegravir, Tenofovir Disoproxil Fumarate, Emtricitabine and Cobicistat it’s Pure And Tablet Form. Der Pharma Chem. 2018;10(3):158–65.
  20. Gummaluri RK, Parthasarathi TVN, Anjanamadhulika G. Simultaneous Method for Determination of Emtricitabine, Tenofovir Disoproxil Fumarate, Elvitegravir and Cobicistat in Tablets By HPLC. Indian J Pharm Sci [Internet]. 2016 Jun 28 [cited 2024 Oct 12];78(4):532–7. Available from: https://www.ijpsonline.com/articles/simultaneous-method-for-determination-of-emtricitabine-tenofovir-disoproxil-fumarate-elvitegravir-and-cobicistat-in-tablets-by-hpl.html
  21. Sangshetti JN, Deshpande M, Zaheer Z, Shinde DB, Arote R. Quality by design approach: Regulatory need. Arab J Chem. 2017 May 1;10:S3412–25.
  22. Beg S, Hasnain MS, Rahman M, Swain S. Introduction to Quality by Design (QbD): Fundamentals, Principles, and Applications. Pharm Qual by Des Princ Appl. 2019 Jan 1;1–17.

Reference

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  2. Colombo S, Buclin T, Cavassini M, Décosterd LA, Telenti A, Biollaz J, et al. Population pharmacokinetics of atazanavir in patients with human immunodeficiency virus infection. Antimicrob Agents Chemother. 2006 Nov;50(11):3801–8.
  3. Dzobo K. The Role of Natural Products as Sources of Therapeutic Agents for Innovative Drug Discovery. Compr Pharmacol [Internet]. 2022 Jan 1 [cited 2025 Jan 3];2:408. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC8016209/
  4. Atazanavir and Cobicistat: MedlinePlus Drug Information [Internet]. [cited 2024 Oct 12]. Available from: https://medlineplus.gov/druginfo/meds/a622001.html
  5. German P, Warren D, West S, Hui J, Kearney BP. Pharmacokinetics and bioavailability of an integrase and novel pharmacoenhancer-containing single-tablet fixed-dose combination regimen for the treatment of HIV. J Acquir Immune Defic Syndr. 2010 Nov 1;55(3):323–9.
  6. JASMINE K. ??No Title No Title No Title. Penambahan Natrium Benzoat Dan Kalium Sorbat Dan Kecepatan Pengadukan Sebagai Upaya Penghambatan Reaksi Inversi Pada Nira Tebu. 2014;10(11):49817.
  7. Mevada S, Shukla S, Patel H. Simultaneous estimation of andrographolide, apigenin, apocynin, and gallic acid by high-performance thin layer chromatography method with Greenness quality by design approach. Sep Sci Plus [Internet]. 2024 Jan 1 [cited 2024 Jul 18];7(1):2300109. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/sscp.202300109
  8. Mevada S, Patel H, Shukla S. Simultaneous equation method for the estimation of gallic acid and apigenin by UV–visible spectrophotometry. Accredit Qual Assur [Internet]. 2024 Feb 1 [cited 2024 Jul 26];29(1):11–7. Available from: https://www.researchgate.net/publication/376555906_Simultaneous_equation_method_for_the_estimation_of_gallic_acid_and_apigenin_by_UV-visible_spectrophotometry
  9. Dey S, Subhasis Patro S, Suresh Babu N, Murthy PN, Panda SK. Development and validation of a stability-indicating RP–HPLC method for estimation of atazanavir sulfate in bulk. J Pharm Anal [Internet]. 2017;7(2):134–40. Available from: http://dx.doi.org/10.1016/j.jpha.2013.12.002
  10. Mantripragada MKVVN, Rao S V., Nutulapati VVS, Mantena BPV. Simultaneous Determination of Impurities of Atazanavir and Ritonavir in Tablet Dosage Form by Using Reversed-Phase Ultra Performance Liquid Chromatographic Method. J Chromatogr Sci [Internet]. 2018 Mar 1 [cited 2024 Oct 11];56(3):270–84. Available from: https://dx.doi.org/10.1093/chromsci/bmx110
  11. Soundarya K, Hemant Kumar T, Manjunath SY. New RP-HPLC Method for the Estimation of Atazanavir sulphate in Pharmaceutical Dosage form. Res J Pharm Technol [Internet]. 2022 Jul 29 [cited 2024 Oct 11];15(7):2928–32. Available from: https://rjptonline.org/AbstractView.aspx?PID=2022-15-7-10
  12. Konidala SK, Sujana K, Rani AP. New Validated RP-HPLC method for the Determination of Atazanavir Sulphate in Bulk and Dosage form. Der Pharma Chem. 2012;4(3):1305–10.
  13. Mevada S, Patel H, Shukla S. Simultaneous equation method for the estimation of gallic acid and apigenin by UV–visible spectrophotometry. Accredit Qual Assur [Internet]. 2024 Feb 1 [cited 2024 Jul 18];29(1):11–7. Available from: https://link.springer.com/article/10.1007/s00769-023-01558-7
  14. Mevada S, Shukla S, U Patel H. Greenness Assessment of High-Performance Liquid Chromatography Method for Simultaneous Estimation of Apigenin, Apocynin, and Gallic Acid With Quality by Design Approach. Sep Sci Plus [Internet]. 2025 Jan 1 [cited 2025 Jan 24];8(1):e202400335. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/sscp.202400335
  15. Sharma S, Gauba P, Tyagi A, Dang S. Chitosan-modified polymeric nanoparticles for the nose-to-brain drug delivery of paroxetine: an in vitro and in vivo evaluation. Nanoscale [Internet]. 2025 Jan 16 [cited 2025 Apr 23];17(3):1687–702. Available from: https://pubs.rsc.org/en/content/articlehtml/2025/nr/d4nr04250f
  16. Mevada S, Shukla S, Patel H. Simultaneous estimation of andrographolide, apigenin, apocynin, and gallic acid by high-performance thin layer chromatography method with Greenness quality by design approach. Sep Sci Plus [Internet]. 2024 Jan 1 [cited 2024 Jul 26];7(1):2300109. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/sscp.202300109
  17. Nalini M, Haribabu B, Veni P. Stability Indicating RP-HPLC Method for Simultaneous Estimation of Atazanavir and Cobicistat in Tablets. Br J Pharm Res. 2016;11(6):1–10.
  18. Pavani C, Susithra E. A novel simultaneous high performance liquid chromatography-PDA method for the determination of Tenofovir AF, Darunavir, Emtricitabine and Cobicistat in bulk and its application to marketed formulation. Futur J Pharm Sci [Internet]. 2022;8(1). Available from: https://doi.org/10.1186/s43094-021-00390-5
  19. Godasu SK, Sreenivas SA. Determination of Simultaneous Estimation HPLC Method for Elvitegravir, Tenofovir Disoproxil Fumarate, Emtricitabine and Cobicistat it’s Pure And Tablet Form. Der Pharma Chem. 2018;10(3):158–65.
  20. Gummaluri RK, Parthasarathi TVN, Anjanamadhulika G. Simultaneous Method for Determination of Emtricitabine, Tenofovir Disoproxil Fumarate, Elvitegravir and Cobicistat in Tablets By HPLC. Indian J Pharm Sci [Internet]. 2016 Jun 28 [cited 2024 Oct 12];78(4):532–7. Available from: https://www.ijpsonline.com/articles/simultaneous-method-for-determination-of-emtricitabine-tenofovir-disoproxil-fumarate-elvitegravir-and-cobicistat-in-tablets-by-hpl.html
  21. Sangshetti JN, Deshpande M, Zaheer Z, Shinde DB, Arote R. Quality by design approach: Regulatory need. Arab J Chem. 2017 May 1;10:S3412–25.
  22. Beg S, Hasnain MS, Rahman M, Swain S. Introduction to Quality by Design (QbD): Fundamentals, Principles, and Applications. Pharm Qual by Des Princ Appl. 2019 Jan 1;1–17.

Photo
Hetal Pateliya
Corresponding author

Noble Pharmacy College, Noble University, Junagadh- Bhesan Road, Via.Vadal Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Photo
Dhirendra Kumar Tarai
Co-author

Noble Pharmacy College, Noble University, Junagadh- Bhesan Road, Via.Vadal Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Photo
Khyati Bhupta
Co-author

Noble Pharmacy College, Noble University, Junagadh- Bhesan Road, Via.Vadal Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Photo
Dr. Santosh Kirtane
Co-author

Noble Pharmacy College, Noble University, Junagadh- Bhesan Road, Via.Vadal Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA.

Hetal Pateliya*, Dhirendra Kumar Tarai, Khyati Bhupta, Dr. Santosh Kirtane, Development and Validation of Stability Indicating RP-HPLC Method For the Simultaneous Estimation of Atazanavir and Cobicistat with Doe Approach in Their Tablet Dosage From, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 6, 611-626. https://doi.org/10.5281/zenodo.15592597

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