View Article

  • Analytical Quality By Design-Based Development And Validation Of A Stability-Indicating RP-HPLC Method For Simultaneous Determination Of Triamcinolone Acetonide And Econazole Nitrate In Pharmaceutical Cream Formulation

  • P. Wadhwani College of Pharmacy, Yavatmal, M.S. India (Affiliated to Sant Gadge Baba Amravati University, Amravati)

Abstract

This study reports the development and validation of a rapid, robust, and stability-indicating Reverse-Phase High-Performance Liquid Chromatography (RP-HPLC) method for the simultaneous estimation of Triamcinolone Acetonide (TRI) and Econazole Nitrate (ECO) in pharmaceutical cream formulations. A systematic Analytical Quality by Design (AQbD) approach employing a three-factor, five-level Central Composite Design (CCD) was utilized to optimize the chromatographic conditions. The critical method parameters (CMPs) investigated included the percentage of the aqueous phase, pH of the aqueous phase, and flow rate, while the critical analytical attributes (CAAs) comprised the tailing factor of TRI, tailing factor of ECO, and total chromatographic run time. The optimized chromatographic conditions consisted of a Kinetex® Biphenyl column (250 × 4.6 mm, 5 µm) using a mobile phase composed of Acetonitrile and 0.1 % hexanesulfonic acid in HPLC grade water (pH adjusted with orthophosphoric acid) at the optimized ratio, delivered at a flow rate of 1.0 mL min?¹ with UV detection at 235 nm. The CCD optimization involved 19 experimental runs, and response surface methodology successfully established a Method Operable Design Region (MODR) that produced symmetrical chromatographic peaks with tailing factors close to 1.5 for both analytes and a total chromatographic run time of approximately 12 min. The optimized method exhibited excellent reproducibility and robustness, as confirmed by replicated centre-point experiments and statistical evaluation of the quadratic model. The developed method was validated in accordance with ICH Q2(R2) guidelines for system suitability, specificity, linearity, accuracy, precision, robustness, detection limit, quantitation limit, and solution stability. The validation results demonstrated excellent analytical performance with satisfactory linearity, acceptable accuracy and precision, and robust chromatographic behavior.

Keywords

RP-HPLC; Method Development; QbD Approach; Simultaneous Estimation; Central Composite Design; Triamcinolone Acetonide (TRI); Econazole Nitrate (ECO).

Introduction

× Popup Image

Multidrug semisolid dosage forms, such as creams, represent a sophisticated approach in modern topical drug delivery. By incorporating two or more active pharmaceutical ingredients (APIs) into a single base, these formulations provide combined therapeutic actions, improve patient compliance, and enhance treatment efficacy for conditions such as skin infections, inflammation, and pain. The formulation of these creams requires rigorous attention to drug compatibility, stability, uniform distribution, and skin permeability. 1-2

The pharmaceutical industry operates under rigorous regulatory frameworks, necessitating the development of precise and robust analytical methodologies to ensure the identity, strength, quality, and purity of drug products. As combination therapies—specifically those incorporating multiple active pharmaceutical ingredients (APIs) for localized dermatological treatments—become increasingly prevalent, 3-4

This study addresses the simultaneous estimation of four chemically diverse drugs: Triamcinolone Acetonide (TRI), (1S,2S,4R,8S,9S,11S,12R,13S)-12-fluoro-11-hydroxy-8-(2-hydroxyacetyl)-6,6,9,13-tetramethyl-5,7-dioxapentacyclo[10.8.0.02,9.04,8.013,18]icosa-14,17-dien-16-one, 5  Econazole Nitrate (ECO), chemically 1-[2-[(4-chlorophenyl)methoxy]-2-(2,4-dichlorophenyl)ethyl]imidazole;nitric acid, 6 The simultaneous determination of these specific analytes is particularly complex due to their disparate polarities and structural characteristics. 

Quality by Design (QbD) is a concept originally introduced by renowned quality expert Joseph M. Juran in his influential publications, most notably Juran on Quality by Design. While these principles have been implemented across various industries to improve product and process quality—most notably in the automotive sector—they have recently been adopted by the U.S. Food and Drug Administration (FDA) to transform how drugs are discovered, developed, and manufactured. 7-9

Since the FDA first initiated this shift through its "Pharmaceutical cGMPs for the twenty-first century" program, QbD has become a cornerstone concept for the pharmaceutical industry. As further defined in the International Conference on Harmonisation (ICH) guidance on pharmaceutical development, QbD is "a systematic approach to development that begins with predefined objectives and emphasizes product and process understanding and process control, based on sound science and quality risk management". Consequently, the scientific understanding gained during the method development process is now used to devise effective method control elements and manage identified risks. 10-12

The aim of the analytical method is to separate and quantify the main compound while meeting the method performance criteria based on regulatory requirements, such as specificity, linearity, accuracy, precision, sensitivity, robustness, and ruggedness. 

The study employs a systematic Quality by Design (QbD) approach, utilizing a three-factor, five-level Central Composite Design (CCD) via Design-Expert 13.0 software to optimize chromatographic conditions. The study specifically evaluates how variations in the percentage of the polar phase (water), the flow rate of the mobile phase, and the pH of the polar phase influence critical responses, including the tailing factors of Triamcinolone Acetonide (TRI), Econazole Nitrate (ECO) and the total chromatographic run time. 

Following optimization and successful method finalization through various experimental trials, the procedure was validated in accordance with ICH Q2 R guidelines

MATERIAL AND METHOD

Material and chemical

The materials, chemicals, and instruments used in the experiment are documented as follows. The drug samples— Triamcinolone Acetonide (TRI), and Econazole Nitrate—were obtained from Yarrow pharm, with purities of ≥ 99.93%, and 98%, respectively. Reagents and chemicals utilized included HPLC grade water from Millie Queue Water, methanol from SD Fine Chem. Limited, acetonitrile from Merck Lab, and orthophosphoric acid.

Equipment

The chromatographic analysis is performed using an HPLC system equipped with a Photodiode Array (PDA) detector, The system utilizes a Phenomenex Kinetex C-8 column, which measures 250 mm in length with an internal diameter of 4.6 mm and 5 micron in size. The experimental design model was developed on Design-Expert 13.0 (Stat-Ease Inc., Minneapolis, USA).

Design of Experiments (CCD)

To optimize the chromatographic conditions, a three-factor, five-level Central Composite Design (CCD) was employed during the method development phase. This experimental design evaluated three independent variables: the ratio of the polar phase (water) in percent, the flow rate of the mobile phase in mL/min, and the pH of the polar phase. The efficacy of these variables was assessed based on several dependent responses, specifically the tailing factors for Triamcinolone Acetonide (TRI) and Econazole Nitrate (ECO) as well as the total chromatographic run time. Following the optimization process, the conditions identified in Trial 9 were selected as the final method. These optimized parameters consist of a mobile phase composed of a 47:53 v/v ratio of acetonitrile to 0.1 % hexanesulfonic acid in HPLC grade water (with the water pH adjusted to 3.0 using orthophosphoric acid), a flow rate of 1 mL/min, and a detection wavelength of 235 nm. Additionally, the method is conducted at a column temperature ranging between 37°C and 38°C, with a total run time of 12 minutes.

Variables

Levels

-1.68179

-1

0

+1

+1.68179

Ratio of polar phase (HAS 0.1% in HPLC grade water) (%)

45

46

47

48

49

Flow rate of mobile phase (mL/min)

0.8

0.9

1.0

1.1

1.2

pH of polar phase

2.8

2.9

3.0

3.1

3.2

Table No.1 Levels for method optimization and selected variables in CCD for analysis of TRI and ECO

Preparation of Solution

Standard Stock Solutions: Accurately weighed amounts of TRI and ECO were dissolved in methanol in 10 mL volumetric flasks, sonicated to dissolve, and made up to the mark with diluent. Working Standards: Prepared by diluting stock solutions with Acetonitrile to achieve desired concentrations (e.g., 1 µg/mL for TRI and 10 µg/mL for ECO). Sample Solution (Cream Formulation): 10 g of cream (containing 0.1% TRI and 1% ECO) was transferred to a 100 mL volumetric flask, 100 mL of acetonitrile was added, and the mixture was sonicated for 15 minutes. The solution was filtered through a 0.45 µm nylon syringe filter and centrifuged at 3000 rpm for 10 minutes. A 1 mL aliquot was further diluted to 10 mL with acetonitrile.

Method Validation

The method was validated according to ICH Q2R guidelines: 13-14

System Suitability

Assessed by six replicate injections of the standard solution; acceptance criteria included %RSD for retention time ≤ 2.5%, theoretical plates > 2000, and tailing factor ≤ 2.5.

 

Linearity:

Determined by analyzing five concentrations (10–50 µg/mL) of the analytes; calibration curves were plotted and R2  values were evaluated.

Accuracy:

Performed via recovery studies at 80%, 100%, and 120% levels using the standard addition method.

Precision:

 Evaluated through system precision (standard solution) and method precision (homogenous sample of a single batch analyzed six times).

Specificity:

Confirmed by injecting blank and placebo samples to ensure no interference at the analytes' retention times.

 Robustness:

 Assessed by making small, deliberate changes to flow rate (±0.1 mL/min), pH (±0.1 units), and organic phase composition (±10%).

Analysis of marketed formulation

The analysis was conducted on the marketed cream formulation " Ecozol Plus," manufactured by Opsonin Pharma., which has a label claim weight of 20 grams. To prepare the sample solution, 10 grams of the cream were transferred to a 100 mL volumetric flask, combined with 100 mL of acetonitrile, and sonicated for 15 minutes to ensure complete dissolution. This solution was subsequently filtered through a 0.45 μm nylon syringe filter and centrifuged at 3000 rpm for 10 minutes. A 1 mL aliquot of the resulting clear supernatant was then transferred to a 10 mL volumetric flask and diluted to the mark with acetonitrile.

RESULT AND DISCUSSION

Design of Experiments (CCD)

A three-factor, five-level Central Composite Design (CCD) was employed to evaluate the influence of percentage of polar phase (water, X₁), flow rate (X₂), and pH of the polar phase (X₃) on the chromatographic performance. The selected response variables included the tailing factor (TF) of Triamcinolone Acetonide (TRI), Econazole Nitrate (ECO) and the total chromatographic run time (RT). A total of 19 experimental runs comprising factorial, axial, and centre points were performed, as presented in Table no. 2

The centre point experiments (Runs 4, 5, 13, and 19) demonstrated good reproducibility with minimal variation in the response values, confirming the reliability of the experimental design and indicating insignificant pure experimental error.

Trail 4

Trail 5

Trail 11

Trail 19

the statistics are given in Table 2. The contour (2D) plots and 3D plot of responses with respect to all factors are shown in Figure 01-03. for TF TRI, TF ECO and RT respectively. The optimum conditions were calculated using numerical optimization. To achieve the composite desirability (D), the response criteria were set as (lower–upper):

The three-dimensional response surfaces and contour plots demonstrated significant linear, interaction, and quadratic effects of the selected factors. The optimized design space was identified near the center region of the experimental domain, where minimal tailing factors for all analytes and an acceptable chromatographic run time were simultaneously achieved. These findings confirmed that CCD is a suitable experimental design for systematic optimization of the RP-HPLC method, enabling robust separation with improved peak symmetry and reduced analysis time.

Run

%Polar phase (HAS 0.1% in HPLC grade water)

Flow rate (mL/min)

pH of polar phase

Response factors

TF (TRI)

TF (ECO)

RT

1

1.68179

0

0

4.5

4.2

25

2

-1

1

1

3.5

2.9

26

3

0

0

-1.68179

3.9

3.2

20

4

0

0

0

1.5

1.6

15

5

0

0

0

1.6

1.6

16

6

0

1.68179

0

4.6

4.1

18

7

1

-1

-1

3.2

3.1

21

8

0

-1.68179

0

3.9

3.5

26

9

-1

-1

-1

3.8

3.6

29

10

0

0

1.68179

4.6

4.5

25

11

0

0

0

1.8

1.53

20

12

-1

1

-1

4.2

3.6

23

13

0

0

0

1.5

1.45

15

14

1

1

1

4.2

3.8

18

15

1

-1

1

4.4

3.8

25

16

-1

-1

1

3.5

3.1

24

17

-1.68179

0

0

3.6

3.45

28

18

1

1

-1

3.6

3.4

25

19

0

0

0

1.6

1.6

15

Table N0.2 Response factors and independent variables fitted in central composite design CCD for analysis of TRI and ECO

Figure No. 1 Surface response plot outcome of CCD analysis (3D plot and Contour Plot) for Tailing factor of TRI

Figure No. 2 Surface response plot outcome of CCD analysis (3D plot and Contour Plot) for Tailing factor of ECO

Figure No. 3 Surface response plot outcome of CCD analysis (3D plot and Contour Plot) for Run time

Figure No. 4 Optimized chromatogram of standard solution mixture containing 01ug/ml of TRI, and 10 ug/ml of ECO

METHOD VALIDATION

System suitability: -

All System suitability parameters (Retention Time, Peak Area, Tailing Factor) for TRI, ECO were calculated for n=6 replicates to study the system suitability of HPLC method all the result were within acceptable limits, confirming the suitability of the instrument, reagents, and column. as shown in Table 3

Parameter

compound

Run 1

Run 2

Run 3

Run 4

Run 5

Run 6

Mean

SD

%RSD

Retention Time

TRI

6.290

6.265

6.341

6.242

6.301

6.299

6.289

0.033856

0.538288

ECO

9.244

9.278

9.212

9.219

9.312

9.281

9.257

0.039185

0.423771

Peak area

TRI

81940

81421

82013

81987

82121

81998

81913

248.4984

0.303367

ECO

118832

118645

118972

118898

118612

118998

118826

164.12

0.138118

Tailing Factor

TRI

1.52

1.51

1.51

1.54

1.54

1.53

1.52

0.013784

0.903872

ECO

1.52

1.51

1.53

1.51

1.56

1.57

1.53

0.02582

1.683906

Table No.03: Observation of System suitability Parameters

Linearity:-

The linearity of the HPLC detector response for determination of TRI and ECO was evaluated by analyzing a series of different concentrations of each compound. The calibration range was established with respect to the practical range necessary (according to content and ratio of each compound in the cream formulation), to give accurate, precise and linear results. Seven concentrations were chosen, ranging from 0.5-1.5 ug/mL TRI and 05-15 μg/mL ECO and the linearity was determined. Characteristic parameters for regression equations of the HPLC method are given in Table 04-. The R2  values for all four drugs were found to be ≥0.9945 , indicating a high level of linearity and a consistent detector response across the tested concentration ranges.

% level

TRI Conc. (µg/ml)

Mean

ECO Conc. (µg/ml)

Mean

50

0.5

19219

05

39424

80

0.8

53139

08

77930

100

1.0

81979

10

118809

120

1.2

112500

12

152261

150

1.5

141295

15

206178

R2 Value

0.9941

0.9949

Table no. 04 Observation of linearity of TRI & ECO

Accuracy:-

Accuracy was determined by standard addition method at three levels Standard solution, Accuracy-80%, Accuracy-100% and Accuracy-120% solutions were injected in to HPLC system. Amount found and amount added for TRI and ECO, individual recovery and mean recovery values were also calculated. The average % recovery of TRI & ECO, was calculated and The excellent recoveries of standard addition method (Table 5) for HPLC suggested good accuracy of the proposed method.

Sr. no.

1

2

3

Level

80%

100%

120%

Amount added ????????/ml

TRI

0.8

1

1.2

ECO

8

10

12

Mean Area±%RSD

(n=6)

TRI

147011±0.78

164420±1.1

180818±1.0

ECO

214191±0.91

238044±0.79

261830±1.0

Mean Area

Recovered

(n=6)

TRI

65001

82410

98808

ECO

95269

119122

142908

Amount

Recovery (μg/mL) (n=6)

TRI

0.7925

1.0048

1.2048

ECO

0.8011

1.0016

1.2016

 

%Recovery

TRI

99.06

100.48

100.40

ECO

100.13

100.16

100.13

Table No.05: Accuracy study of TRI and ECO by standard addition method at (80%, 100% and 120%)

Precision:-

The precision of the method was determined by intraday studies. The peak areas of all two drugs were calculated for each trial. The experiment was repeated three times in a day for intra-day precision Prepare 20 µg/mL solutions from a standard solution and inject Six times in a day on to analytical column. The percentage relative standard deviation (%RSD) was calculated and lower % RSD indicates that there are less variation and there is high precision all % RSD value given in table no.6 & table no.7

Parameter

compound

Run 1

Run 2

Run 3

Run4

Run 5

Run6

Mean

SD

%RSD

Peak area

 

TRI

81832

81940

81898

82010

81901

81889

81911

59.385744

0.07249979

ECO

119012

118832

118899

118841

118901

118870

118893

65.136011

0.054785635

Retention Time

TRI

6.214

6.290

6.262

6.291

6.211

6.289

6.259

0.0380039

0.607140301

ECO

9.144

9.244

9.201

9.221

9.211

9.241

9.210

0.0365385

0.396712722

Table No. 06: Observation for System precision

Parameter

compound

Run 1

Run 2

Run 3

Run 4

Run 5

Run 6

Mean

SD

%RSD

Peak area

 

TRI

82109

82100

82091

82117

82109

82110

82106

9.121403

0.0111093

ECO

118922

118981

118988

118921

118999

118899

118952

42.462532

0.03569729

Retention Time

TRI

6.114

6.163

6.129

6.112

6.156

6.142

6.136

0.0213260

0.3475560

ECO

9.090

9.101

9.151

9.149

9.162

9.095

9.124

0.0326231

0.3575267

Table No. 07: Observation for Method precision

Specificity:-

 Studies with blank and placebo solutions confirmed no interference at the retention times of the analytes, indicating the method is specific. Shown in figure no.08 (Blank chromatogram) figure no.09 (placebo chromatogram)

Figure no.08 Blank chromatogram

Figure no.09 Placebo chromatogram

Robustness:-

Various factors were assessed to check the robustness of the method. Deliberate variations in flow rate (±0.1  mL/min), pH (±0.1  units), and organic phase composition (±10% ) were tested. The method was also found to be robust for the factors thus studied and method remained robust within the tested ranges. the data of all factor given in table 8-10

Parameter

TRI

ECO

 

Flow Rate 0.9ml/min

 

74740

116823

74982

116898

74808

116908

74914

116845

74908

116878

Mean

74877

116872

SD

87.00038314

32.16623488

%RSD

0.116191581

0.027522697

 

 

Retention Time in Min.

6.988

10.289

7.057

10.301

7.101

10.311

6.975

10.299

6.999

10.306

Mean

7.019

10.302

SD

0.048704894

0.007641989

%RSD

0.693818376

0.074179667

Flow Rate 1.1ml/min

91210

119246

91189

119189

91211

119276

91260

119119

91217

119210

Mean

91217

119208

SD

23.31237154

53.58606784

%RSD

0.025556954

0.044951612

 

 

Retention Time in Min.

 

5.783

8.647

5.804

8.611

5.798

8.632

5.776

8.658

5.745

8.642

Mean

5.775

8.638

SD

0.025435539

0.015970807

%RSD

0.440429531

0.18487583

Table No. 08: Robustness study for change in flow rate ±10% (±0.1ml/min)

Parameter

TRI

ECO

 

pH 2.9 (-0.1 unit)

81940

118863

81987

118871

82009

118793

81899

118849

81953

118871

Mean

81957

118853

SD

38.18071066

30.62025473

%RSD

0.046586366

0.025763132

 

 

Retention Time in Min.

6.283

9.099

6.241

9.110

6.263

9.141

6.289

9.117

6.278

9.129

Mean

6.272

9.120

SD

0.017458522

0.015158056

%RSD

0.278356541

0.166191571

 

 

pH 3.1 (+0.1 unit)

 

80954

117832

81021

117742

80999

117828

81011

117849

80854

117763

Mean

80949

117796

SD

76.94521861

45.21688

%RSD

0.095054142

0.038386

 

 

Retention Time in Min.

 

6.270

9.086

6.278

9.089

6.268

9.074

6.269

9.079

6.241

9.091

Mean

6.261

9.085

SD

0.016018

0.007014271

%RSD

0.255826

0.077207167

Table No. 09 : Robustness study for change in pH ± 0.1 units.

Parameter

TRI

ECO

 

 

Organic Phase Change (-10%)

 

83850

118971

83743

118898

83841

118984

83856

118914

83865

118927

Mean

83837

118937

SD

46.79601123

33.51069

%RSD

0.055818072

0.028175

 

 

Retention Time in Min.

8.142

14.445

8.133

14.432

8.148

14.440

8.139

14.417

8.144

14.321

Mean

8.141

14.396

SD

0.005164

0.058862552

%RSD

0.063427

0.408881299

 

 

Organic Phase Change (+10%)

 

 

82745

118451

82689

118488

82714

118530

83098

118563

82748

118498

Mean

82790

118505

SD

152.5734796

38.18726

%RSD

0.184289003

0.032224

 

 

Retention Time in Min.

 

5.263

6.854

5.298

6.864

5.241

6.721

5.301

6.870

5.287

6.896

Mean

5.279

6.850

SD

0.02311493

0.065551252

%RSD

0.43782423

0.956929304

Table No. 10: Robustness study for change in Organic Phase ± 10%.

Application of validated method

The HPLC method was successfully applied to the determination of TRI and ECO in cream formulation without the interference of excipients therein. The results of the assay are shown in Table 11

 

TRI

ECO

Standard

N=6

N=6

Mean Area

81940

118832

Test Preparation Cream

N=6

N=6

Mean Area

82010

118922

Observed in mg

1.00 mg

10.00 mg

Label claim in mg

1 mg

10 mg

% Assay

100.08

100.07

Table No. 11: Result of marketed formulation TRI & ECO (Ecozol Plus)

REFERENCES

  1. D.M. Dixon and Thomas J. Walsh. Medical microbiology 4th edition Baron S, editor. Galveston (TX): University of Texas Medical Branch at Galveston; 1996.
  2. G.R. Himalaya Chatwal Publishing ,S.K. Anand; House, Instrument Mumbai ;11 methods th edition of chemical, 2005,1.1-1.2, 2.108-;2.109,2.151-2.153.
  3. Settle F. A. “Handbook of Instrumental techniques for analytical chemistry”, Prentice Hall PTR, New Jersey, 1997, 1 st Edition, 17-19, 56-57.
  4. Skoog D.A., Holler F.J. and Crouch S.R. “Principle of Instrumental Analysis”, Thomson Publications, India, 2007, 6 th Edition, 1-3, 145-147, 180.
  5. https://pubchem.ncbi.nlm.nih.gov/compound/Triamcinolone Acetonide 
  6. https://pubchem.ncbi.nlm.nih.gov/compound/ Econazole Nitrate
  7. Snyder LR, Kirkland JJ, Glajchl JI. Practical.HPLC Method Development. John Wiley &Sons, New York.1988; 3: 2 – 21. 
  8.  Validation of Chromatographic Methods, Reviewer Guidance, Center for Drug Evaluation and Research (CDER), November,1994; 17
  9. Yan Li,GeraldJ Terfloth, AlirezaS Kord “A Systematic Approach to RP‐HPLC Method Development in a Pharmaceutical QbD Environment”. American Pharmaceutical review, Chemical development, GSK, 2008. 
  10. US Food and Drug Administration, Pharmaceutical CGMPs for the 21st Century  A Risk Based Approach, 2004.
  11. Department of Health and Human Services, 1. U.S. Food and Drug Administration, Pharmaceutical cGMPs for the 21st century ‐ A risk‐based approach, Final report, September, 2004.
  12. Borman, P., Nethercote, P., Chatfield, M., Thompson, D. and Truman K. “The Application of Quality by Design to Analytical Methods”. Pharm. Tech. 2007, 31(12) 142-152. 
  13. The International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for HumanUse, Quality Guideline Q8 Pharmaceutical development, 2006.
  14. The International Conference on Harmonisation of Technical Requirements for  Registration of Pharmaceuticals for Human Use, Quality Guideline Q2(R1) Validation of Analytical procedures: Text and Methodology, 2005.
  15. Schweitzer, M., Pohl, M., Hanna-Brown, M., Nethercote, P., Borman, P., Hansen, G., Smith, K. and Larew J. “Implications and Opportunities of Applying QbD Principles to Analytical Measurements”. Pharm. Tech. 2010, 34 (2) 52-59. 
  16. Vogt F.G. and Kord A.S. “Development of Quality-By-Design Analytical Methods”. J. Pharm. Sci. 2011, 100(3), 797-812. 
  17. Bhatt, D.A. and  Rane, S.I. “QbD Approach to Analytical RP-HPLC Method Development and its Validation”. Int. J. Pharm. and Pharm. Sci. 2011, 3 (1) 179-187. 
  18. Krull I., Swartz, M., Turpin, J., Lukulay, P.H. and Verseput, R. “A Quality-by-Design Methodology for Rapid LC Method Development”. Part I and Part II. LCGC N. Am. 2008, 26, 1190-1197. 
  19. Meyer C., Soldo T. and Kettenring U. “Highlights of Analytical Chemistry in Switzerland”. Chimia 2010, 64 (11), 825. 
  20. Ling S. and McBrien, M. “A Quality by Design Approach to Chromatographic Method Development”. LCGC: The Column, 2011, 7 (5), 16-20. 
  21. Orlandini, S., Pinzauti S. and Furlanetto S. “Application of quality by design to the development of analytical separation methods”. Analytical and Bioanalytical Chemistry. 2013, 405(2), 443– 450 
  22. Musters, J., van den Bos L. and Kellenbach, E. “Applying QbD Principles to Develop a Generic UHPLC Method Which Facilitates Continual Improvement and Innovation throughout the Product Lifecycle for a Commercial API”. Organic Process & Research Development, 2013, 17, 87−96. 
  23. Rozet E., Lebrun, P., Debrus B., Boulanger, B. and Hubert P. “Design Spaces for analytical Methods”. Trends in Analytical Chemistry, 2013, 42, 157-167. 
  24. Raman, N.V., Mallu, U.R., and Bapatu, H.R. “Analytical quality by design approach to test method development and validation in drug substance manufacturing”. Hindawi, Journal of Chemistry, 2015, 1-8. 
  25. Schmidt A.H. and Molnár, I. “Using an innovative quality-by-design approach for development of a stability indicating UHPLC method for ebastine in the API and pharmaceutical formulations”. Journal of Pharmaceutical and Biomedical Analysis. 2013, 78, 65–74. 
  26. Majumder T., Hasan R., Roy P., Pramanik R and Hasan N. “Method development and validation of RP-HPLC method for estimation of luliconazole in marketed formulation (Cream)”. The Pharma Innovation Journal, 2 0 19, 8 (5), 103-108.
  27. Ramzia I. B., Fouada M. A., Manal A. S., and Tolba E. H. “ Derivative, derivative of the ratio spectrophotometric and stability-indicating RP-HPLC methods for the determination of mometasone furoate and miconazole nitrate in cream”. Journal of Chemical and Pharmaceutical Research, 2013, 5(11), 368-378.
  28.  Ei1 Z. Z, Pimthon J., Vajragupta O., Leanpolchareanchai J. and Phechkrajang C.M. “Development and validation of high-performance liquid chromatography method for determination of miconazole, triamcinolone, methylparaben and propylparaben in cream”. Journal of Pharmaceutical Sciences, 2016, 43 (4), 211-221.
  29. Shabir G. A. “A New Validated HPLC Method for the Simultaneous Determination of 2-phenoxyethanol, Methylparaben, Ethylparaben and Propylparaben in a Pharmaceutical Gel”. Indian Journal of Pharmaceutical Sciences, 2010, 72(4), 421-425.
  30. Angel A. G., Garcia P. L., Maria S., Maria A. P., Santoro M. R., Maria E. R. and   Hackman K. “Simultaneous determination of econazole nitrate, main impurities and preservative in cream formulation by high performance liquid chromatography”. Elsevier, Talanta, 2008, 77, 673-678.
  31. Devaraj S. K., Sivaperuman A. L. and Nagarajan N. C. “RP-UPLC Method Development and Validation for Simultaneous Estimation of Mometasone Furoate and Miconazole Nitrate in Semisolid Dosage Form”. ACTA Pharmaceutica Sciencia, 2020, 58(3), 335-348.
  32. Bhamre P., Baghel M. and Rajput R. “QbD Approach for development and optimization of HPLC method for the simultaneous estimation of four component cream formulation. Application to permeability study”. Journal of Chemical and Pharmaceutical Research, 2016, 8(4), 868-877.
  33. Sivaraman A. P. and Banga A. K. “Quality by design approaches for topical dermatological dosage forms”.  Research and Reports in Transdermal Drug Delivery, 2015, 4, 9-21.

Reference

  1. D.M. Dixon and Thomas J. Walsh. Medical microbiology 4th edition Baron S, editor. Galveston (TX): University of Texas Medical Branch at Galveston; 1996.
  2. G.R. Himalaya Chatwal Publishing ,S.K. Anand; House, Instrument Mumbai ;11 methods th edition of chemical, 2005,1.1-1.2, 2.108-;2.109,2.151-2.153.
  3. Settle F. A. “Handbook of Instrumental techniques for analytical chemistry”, Prentice Hall PTR, New Jersey, 1997, 1 st Edition, 17-19, 56-57.
  4. Skoog D.A., Holler F.J. and Crouch S.R. “Principle of Instrumental Analysis”, Thomson Publications, India, 2007, 6 th Edition, 1-3, 145-147, 180.
  5. https://pubchem.ncbi.nlm.nih.gov/compound/Triamcinolone Acetonide 
  6. https://pubchem.ncbi.nlm.nih.gov/compound/ Econazole Nitrate
  7. Snyder LR, Kirkland JJ, Glajchl JI. Practical.HPLC Method Development. John Wiley &Sons, New York.1988; 3: 2 – 21. 
  8.  Validation of Chromatographic Methods, Reviewer Guidance, Center for Drug Evaluation and Research (CDER), November,1994; 17
  9. Yan Li,GeraldJ Terfloth, AlirezaS Kord “A Systematic Approach to RP‐HPLC Method Development in a Pharmaceutical QbD Environment”. American Pharmaceutical review, Chemical development, GSK, 2008. 
  10. US Food and Drug Administration, Pharmaceutical CGMPs for the 21st Century  A Risk Based Approach, 2004.
  11. Department of Health and Human Services, 1. U.S. Food and Drug Administration, Pharmaceutical cGMPs for the 21st century ‐ A risk‐based approach, Final report, September, 2004.
  12. Borman, P., Nethercote, P., Chatfield, M., Thompson, D. and Truman K. “The Application of Quality by Design to Analytical Methods”. Pharm. Tech. 2007, 31(12) 142-152. 
  13. The International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for HumanUse, Quality Guideline Q8 Pharmaceutical development, 2006.
  14. The International Conference on Harmonisation of Technical Requirements for  Registration of Pharmaceuticals for Human Use, Quality Guideline Q2(R1) Validation of Analytical procedures: Text and Methodology, 2005.
  15. Schweitzer, M., Pohl, M., Hanna-Brown, M., Nethercote, P., Borman, P., Hansen, G., Smith, K. and Larew J. “Implications and Opportunities of Applying QbD Principles to Analytical Measurements”. Pharm. Tech. 2010, 34 (2) 52-59. 
  16. Vogt F.G. and Kord A.S. “Development of Quality-By-Design Analytical Methods”. J. Pharm. Sci. 2011, 100(3), 797-812. 
  17. Bhatt, D.A. and  Rane, S.I. “QbD Approach to Analytical RP-HPLC Method Development and its Validation”. Int. J. Pharm. and Pharm. Sci. 2011, 3 (1) 179-187. 
  18. Krull I., Swartz, M., Turpin, J., Lukulay, P.H. and Verseput, R. “A Quality-by-Design Methodology for Rapid LC Method Development”. Part I and Part II. LCGC N. Am. 2008, 26, 1190-1197. 
  19. Meyer C., Soldo T. and Kettenring U. “Highlights of Analytical Chemistry in Switzerland”. Chimia 2010, 64 (11), 825. 
  20. Ling S. and McBrien, M. “A Quality by Design Approach to Chromatographic Method Development”. LCGC: The Column, 2011, 7 (5), 16-20. 
  21. Orlandini, S., Pinzauti S. and Furlanetto S. “Application of quality by design to the development of analytical separation methods”. Analytical and Bioanalytical Chemistry. 2013, 405(2), 443– 450 
  22. Musters, J., van den Bos L. and Kellenbach, E. “Applying QbD Principles to Develop a Generic UHPLC Method Which Facilitates Continual Improvement and Innovation throughout the Product Lifecycle for a Commercial API”. Organic Process & Research Development, 2013, 17, 87−96. 
  23. Rozet E., Lebrun, P., Debrus B., Boulanger, B. and Hubert P. “Design Spaces for analytical Methods”. Trends in Analytical Chemistry, 2013, 42, 157-167. 
  24. Raman, N.V., Mallu, U.R., and Bapatu, H.R. “Analytical quality by design approach to test method development and validation in drug substance manufacturing”. Hindawi, Journal of Chemistry, 2015, 1-8. 
  25. Schmidt A.H. and Molnár, I. “Using an innovative quality-by-design approach for development of a stability indicating UHPLC method for ebastine in the API and pharmaceutical formulations”. Journal of Pharmaceutical and Biomedical Analysis. 2013, 78, 65–74. 
  26. Majumder T., Hasan R., Roy P., Pramanik R and Hasan N. “Method development and validation of RP-HPLC method for estimation of luliconazole in marketed formulation (Cream)”. The Pharma Innovation Journal, 2 0 19, 8 (5), 103-108.
  27. Ramzia I. B., Fouada M. A., Manal A. S., and Tolba E. H. “ Derivative, derivative of the ratio spectrophotometric and stability-indicating RP-HPLC methods for the determination of mometasone furoate and miconazole nitrate in cream”. Journal of Chemical and Pharmaceutical Research, 2013, 5(11), 368-378.
  28.  Ei1 Z. Z, Pimthon J., Vajragupta O., Leanpolchareanchai J. and Phechkrajang C.M. “Development and validation of high-performance liquid chromatography method for determination of miconazole, triamcinolone, methylparaben and propylparaben in cream”. Journal of Pharmaceutical Sciences, 2016, 43 (4), 211-221.
  29. Shabir G. A. “A New Validated HPLC Method for the Simultaneous Determination of 2-phenoxyethanol, Methylparaben, Ethylparaben and Propylparaben in a Pharmaceutical Gel”. Indian Journal of Pharmaceutical Sciences, 2010, 72(4), 421-425.
  30. Angel A. G., Garcia P. L., Maria S., Maria A. P., Santoro M. R., Maria E. R. and   Hackman K. “Simultaneous determination of econazole nitrate, main impurities and preservative in cream formulation by high performance liquid chromatography”. Elsevier, Talanta, 2008, 77, 673-678.
  31. Devaraj S. K., Sivaperuman A. L. and Nagarajan N. C. “RP-UPLC Method Development and Validation for Simultaneous Estimation of Mometasone Furoate and Miconazole Nitrate in Semisolid Dosage Form”. ACTA Pharmaceutica Sciencia, 2020, 58(3), 335-348.
  32. Bhamre P., Baghel M. and Rajput R. “QbD Approach for development and optimization of HPLC method for the simultaneous estimation of four component cream formulation. Application to permeability study”. Journal of Chemical and Pharmaceutical Research, 2016, 8(4), 868-877.
  33. Sivaraman A. P. and Banga A. K. “Quality by design approaches for topical dermatological dosage forms”.  Research and Reports in Transdermal Drug Delivery, 2015, 4, 9-21.

Photo
O. S. Bilone
Corresponding author

P. Wadhwani College of Pharmacy, Yavatmal, M.S. India (Affiliated to Sant Gadge Baba Amravati University, Amravati)

Photo
P. O. Bilone
Co-author

P. Wadhwani College of Pharmacy, Yavatmal, M.S. India (Affiliated to Sant Gadge Baba Amravati University, Amravati)

Photo
A. P. Dewani
Co-author

P. Wadhwani College of Pharmacy, Yavatmal, M.S. India (Affiliated to Sant Gadge Baba Amravati University, Amravati)

Photo
A. V. Chandewar
Co-author

P. Wadhwani College of Pharmacy, Yavatmal, M.S. India (Affiliated to Sant Gadge Baba Amravati University, Amravati)

O. S. Bilone*, P. O. Bilone, A. P. Dewani, A. V. Chandewar, Analytical Quality By Design-Based Development And Validation Of A Stability-Indicating RP-HPLC Method For Simultaneous Determination Of Triamcinolone Acetonide And Econazole Nitrate In Pharmaceutical Cream Formulation, Int. J. Sci. R. Tech., 2026, 3 (8), 316-331. https://doi.org/10.5281/zenodo.21872300

More related articles
Development And Validation Of Stability Indicating...
Yerrolla Soundarya, MD. Fayaz, B. Rajkumar, N. Ajay Kiran, B. Vis...
A Concise Review on Bioanalytical Method Developme...
Kajal Bansode, Rugved Sathawane, Kiran Ukey, Pratiksha Rajguru...
A Review On RP-HPLC Method Development And Validat...
Nikhil A. Bawane, Pratiksha D. Wagh, Mamata D. Wadkar, Jotshna R....
Analytical Method Development, Validation and Optimization of Fluconazole Drug U...
Aditi Chouksey, Gyanendra Singh Patel, Ritesh Patel, Gurmeet Chhabra, Nimita Manocha...
Development And Validation Of RP-HPLC Method For Simultaneous Estimation Of Metf...
Nikhil A. Bawane, Pallavi D. Borse, Vanita S. Sawant, Nidhi U. Kalamkar, Sachin S. Shinde...
A Comprehensive Review of RP-HPLC In Bioanalytical Method Validation and Sample ...
Kiran Ukey, Indrajeet Gonjari, Jayashri Dandale , Rugved Sathawane, Kajal Bansode, Pratiksha Rajguru...
Related Articles
Analytical Method Development And Validation Of Prucalopride By Quality By Desig...
Nidhi Uday Kalamkar, Mamta D. Wadkar, Pallavi D. Borse, Nikhil A. Bawane, Pravin P. Gadak...
Development And Validation Of Stability Indicating HPLC Method For The Simultane...
Yerrolla Soundarya, MD. Fayaz, B. Rajkumar, N. Ajay Kiran, B. Vishal, G. Mahesh...
More related articles
Development And Validation Of Stability Indicating HPLC Method For The Simultane...
Yerrolla Soundarya, MD. Fayaz, B. Rajkumar, N. Ajay Kiran, B. Vishal, G. Mahesh...
A Concise Review on Bioanalytical Method Development and Validation with Special...
Kajal Bansode, Rugved Sathawane, Kiran Ukey, Pratiksha Rajguru...
A Review On RP-HPLC Method Development And Validation For Simultaneous Estimatio...
Nikhil A. Bawane, Pratiksha D. Wagh, Mamata D. Wadkar, Jotshna R. Adhagale, Pallavi D. Borse, Vanita...
Development And Validation Of Stability Indicating HPLC Method For The Simultane...
Yerrolla Soundarya, MD. Fayaz, B. Rajkumar, N. Ajay Kiran, B. Vishal, G. Mahesh...
A Concise Review on Bioanalytical Method Development and Validation with Special...
Kajal Bansode, Rugved Sathawane, Kiran Ukey, Pratiksha Rajguru...
A Review On RP-HPLC Method Development And Validation For Simultaneous Estimatio...
Nikhil A. Bawane, Pratiksha D. Wagh, Mamata D. Wadkar, Jotshna R. Adhagale, Pallavi D. Borse, Vanita...