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ISSN No. 2321-2705 | DOI: 10.51244/IJRSI |Volume XII Issue VIII August 2025
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QbD Approach to Hplc Method Development and Validation of the
Simultaneous Estimation of Sulbactum and Durlobactum in
Pharmaceutical Dosage Form
Dr.D.Tirumala., Basapuram Meghana., Mothukuru Sainikitha., Jakku Jansi., Md Mamun Reja
Omega college of Pharmacy, India
DOI: https://doi.org/10.51244/IJRSI.2025.120800133
Received: 21 Aug 2025; Accepted: 27 Aug 2025; Published: 13 September 2025
INTRODUCTION
The pharmaceutical industry consistently emphasizes the importance of product quality, safety, and efficacy.
To enhance these aspects, scientific tools such as Quality by Design (QbD) and Process Analytical
Technology (PAT) have been widely implemented. These approaches provide a systematic and science-based
framework for pharmaceutical development and manufacturing, aiming to improve product understanding,
process control, and ultimately, minimize risks while maximizing productivity and quality.
The QbD framework, initially developed for manufacturing processes, has been successfully extended to the
field of analytical method developmenta concept now termed Analytical Quality by Design (AQbD).
AQbD applies the principles of QbD to ensure that analytical methods are not only fit for their intended
purpose but also robust and reliable throughout the product lifecycle.
Regulatory bodies, including the U.S. FDA, have recognized the importance of QbD and released guidance
documents specifically for its implementation in immediate-release and extended-release formulations.
Moreover, the International Council for Harmonisation (ICH) encourages the application of QbD principles
through its guidelines Q8 to Q11, supporting its adoption in both formulation and analytical development.
Drug profile:
Sulbactam is a beta-lactamase inhibitor commonly used in combination with other antibiotics (like
ampicillin) to treat various bacterial infections. It works by blocking the enzyme beta-lactamase, which
bacteria use to resist antibiotics. Sulbactam has a molecular formula of C₈H₁₁NO₅S and a molecular weight of
233.24 Da. It's available mainly in injectable form under brand names such as Unasyn and Sulperazon.
Common side effects include skin rash, diarrhea, nausea, and vomiting, and it should be avoided by
individuals allergic to beta-lactam antibiotics.
Durlobactam is an investigational beta-lactamase inhibitor developed to treat serious hospital-acquired
and ventilator-associated bacterial infections, especially those caused by resistant strains like Acinetobacter
baumannii. It has a molecular formula of C₈H₁₁N₃O₆S and a molecular weight of 277.25 g/mol. Durlobactam
is designed to inhibit a broader range of beta-lactamase enzymes (classes A, C, and D) but is not active
against class B metallo-beta-lactamases. It is currently not commercially available, and limited clinical data
exist regarding its side effects and tolerability.
(R
2
) Tailing Factor Of Sulbactum And Durlobactum:-
ANOVA for Quadratic model Table 1: Response 2: tailing factor
Source
Squares
df
Square
Prob > F
Model
0.036
9
3.967E-003
0.0042
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A-Flow rate
5.119E-003
1
5.119E-003
0.0113
B-Buffer PH
3.178E-004
1
3.178E-004
0.4237
C-Organic ration MP
8.137E-005
1
8.137E-005
0.6802
AB
5.167E-003
1
5.167E-003
0.0111
AC
9.749E-005
1
9.749E-005
0.6523
BC
1.481E-004
1
1.481E-004
0.5802
A^2
8.176E-003
1
8.176E-003
0.0035
B^2
0.014
1
0.014
0.0008
C^2
4.654E-003
1
4.654E-003
0.0140
Residual
3.083E-003
7
4.404E-004
Lack of Fit
3.083E-003
3
1.028E-003
Pure Error
0.000
4
0.000
Cor Total
0.039
16
System Suitability:
Figure 1: Chromatogram for system suitability
Figure 2: Chromatogram for system suitability
Table 2: Results of system suitability parameters
S.No
Name
RT(min)
Area sec)
Height
USP tailing
USP plate count
1
Sulbactum
2.162
18895
1109
1.0
5797
2
Durlobactum
3.441
789931
22645
0.85
2357
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Acceptance criteria:
Resolution between two drugs must be not less than 2.
Theoretical plates must be not less than 2000.
Tailing factor must be not more than 2.
It was found from above data that all the system suitability parameters for developed method were
within the limit.
Validation Parameters:
ASSAY:
Standard
and
sample
solution
injected
as
described
under
experimental
work.
The corresponding
chromatograms and results are shown below.
Figure 3: Chromatogram for Standard
Figure 4: Chromatogram for Sample
Table:3 Retention Times Of Sulbactum,Durlobactum
S.No
Name( STD)
RT(min)
Area(µV sec)
Height (µV)
USP tailing
USP plate count
1
Sulbactum
2.162
18895
1109
1.0
5797
2
Durlobactum
3.441
789931
22645
0.85
2357
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Table:4 Retention Times Of Sulbactum,Durlobactum
S.No
Name (Sample)
RT(min)
Area(µV sec)
Height V)
USP tailing
USP plate count
1
Sulbactum
2.170
18899
1129
1.2
5799
2
Durlobactum
3.437
789938
22695
0.89
2351
Table 5: Results of Assay for Sulbactum and Durlobactum
Label Claim (mg)
% Assay
Sulbactum and Durlobactum
0.5 g + 1.0 g
101.2
Linearity:
The linearity range was found to lie from 10µg/ml to 50µg/ml of Sulbactum and Durlobactum and
chromatograms are shown below
Figure 5: Chromatogram for linearity-1
Figure 6 : Chromatogram for linearity-2
Figure 7: Chromatogram for linearity-3
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Figure 8: Chromatogram for linearity-4
Figure 9: Chromatogram for linearity-5
Table 6: Area of different concentration of Sulbactum and Durlobactum
Concentration (µg/ml) Sulbactum and Durlobactum
Areas Durlobactum
Areas of Sulbactum
1
10
6299
273312
2
20
12599
526625
3
30
18899
789938
4
40
25198
1053250
5
50
32498
1316563
Figure 10: Calibration graph for Sulbactum
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Figure 11: Calibration graph for Durlobactum
Table 7: Analytical performance parameters of Sulbactum and Durlobactum
Parameters
Sulbactum
Durlobactum
Slope (m)
649.97
26131
Intercept (c)
400.5
7999.5
Correlation coefficient (R
2
)
0.999
0.999
Acceptance criteria:
Correlation coefficient (R
2
) should not be less than 0.999
The correlation coefficient obtained was 0.999 which is in the acceptance limit.
Precision:
Precision of the method was carried out for both sample solutions as described under experimental
work. The corresponding chromatograms and results are shown below.
Figure 12: Chromatogram for Precision -1
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Figure 13 : Chromatogram for Precision -2
Figure 14: Chromatogram for Precision -3
Figure 15: Chromatogram for Precision -4
Figure 16: Chromatogram for Precision -5
Figure 17: Chromatogram for Precision -6
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Table 8: Results of Precision for Sulbactum and Durlobactum
Injection
Area
Area
Injection-1
7970152
16726
Injection-2
8065041
16157
Injection-3
7899251
16878
Injection-4
7842995
16504
Injection-5
7926488
16948
Injection-6
7951230
16631
Average
7942526
16640.67
Standard Deviation
74679.64
286.6243
%RSD
0.94
1.72
Acceptance criteria:
%RSD for sample should be NMT 2
The %RSD for the standard solution is below 1, which is within the limits hence method is precise.
Intermediate Precision (ruggedness)
There was no significant change in assay content and system suitability parameters at different conditions
of ruggedness like day to day and system to system variation.
Figure 18: Chromatogram for ID Precision -1
Figure 19: Chromatogram for ID Precision -2
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Figure 20: Chromatogram for ID Precision -3
Figure 21: Chromatogram for ID Precision -4
Figure 22: Chromatogram for ID Precision -5
Figure 23: Chromatogram for ID Precision -6
Table 9: Results of Intermediate precision for Sulbactum Durlobactum
Injection
Area
Area
Injection-1
16726
7970152
Injection-2
16557
8065041
Injection-3
16678
7899251
Injection-4
16514
7842995
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Injection-5
16928
7926488
Injection-6
16631
7951230
Average
16672.33333
7942526
Standard Deviation
147.2123183
74679.64
%RSD
0.8
0.9
Acceptance criteria:
%RSD of five different sample solutions should not more than 2
The %RSD obtained is within the limit, hence the method is rugged.
ACCURACY:
Sample solutions at different concentrations (50%, 100%, and 150%) were prepared and the % recovery was
calculated.
Figure 24: Chromatogram for Accuracy 50%-1
Figure 25: Chromatogram for Accuracy 50%-2
Figure 26: Chromatogram for Accuracy 50%-3
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Figure 27: Chromatogram for Accuracy 100%-1
Figure 28: Chromatogram for Accuracy 100%-2
Figure 29: Chromatogram for Accuracy 100%-3
Figure 30: Chromatogram for Accuracy 150%-1
Figure 31: Chromatogram for Accuracy 150%-2
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Figure 32: Chromatogram for Accuracy 150%-3
Table 10: Accuracy (recovery) data for Sulbactum and Durlobactum
%Concentration (at
specification Level)
Area*
Sulbactum
Amount Added
(mg)
Amount
Found (mg)
%
Recovery
Mean
Recovery
50%
9449.5
12.5
12.2
97.6
98.1
100%
18899
25
24.5
98
150%
28348.5
37.5
37.1
98.9
%Concentration (at
specification Level)
Area*
Durlobactum
Amount
Added (mg)
Amount
Found (mg)
% Recovery
Mean
Recovery
50%
394969
12.5
12.2
97.6
98.1
100%
789938
25
24.5
98
150%
1184934
37.5
37.1
98.9
*Average of three determinations
Acceptance Criteria:
The percentage recovery was found to be within the limit (98-102%).
The results obtained for recovery at 50%, 100%, 150% are within the limits. Hence method is accurate.
Limit Of Detection For Sulbactum And Durlobactum
The lowest concentration of the sample was prepared with respect to the base line noise and measured the
signal to noise ratio.
Figure 33: Chromatogram of Sulbactum and Durlobactum showing LOD
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Table 11: Results of LOD
Drug name
Baseline noise(µV)
Signal obtained (µV)
S/N ratio
Conc. In ppm
Sulbactum
82
243
2.96
0.38
Durlobactum
75
223
2.97
0.08
Signal to noise ratio shall be 3 for LOD solution
The result obtained is within the limit.
Limit Of Quantification For Sulbactum And Durlobactum
The lowest concentration of the sample was prepared with respect to the base line noise and measured the
signal to noise ratio.
Figure 34: Chromatogram of Sulbactum and Durlobactum showing LOQ
Table 12: Results of LOQ
Drug name
Baseline noise(µV)
Signal obtained (µV)
S/N ratio
Conc. In ppm
Sulbactum
82
818
9.97
1.2
Durlobactum
Sulbactum Durlobactum
75
745
9.93
0.2
Signal to noise ratio shall be 10 for LOQ solution
The result obtained is within the limit.
Robustness:
The standard and samples of Sulbactum and Durlobactumwere injected by changing the conditions of
chromatography. There was no significant change in the parameters like resolution, tailing factor, asymmetric
factor, and plate count.
Variation in flow
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Figure 35: Chromatogram showing less flow
Figure 36: Chromatogram showing more flow
Variation of mobile phase organic composition:
Figure 37: Chromatogram showing less organic composition
Figure 38: Chromatogram showing more organic composition
Table 13: Results for variation in flow for Sulbactum and Durlobactum
S. No
Flow
(ml/min)
System Suitability Results of Sulbactum
System Suitability Results of Durlobactum
USP Plate Count
USP Tailing
USP Plate Count
USP Tailing
1
0.8
5721
1.1
2349
1.01
2
1
5799
1.2
2351
0.89
3
1.2
5793
0.98
2345
0.96
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* Results for actual flow (1 ml/min) have been considered from Assay standard.
Table 14: Results for variation in mobile phase composition for Sulbactum and Durlobactum
S.
Change in Organic
Composition in the
Mobile Phase
System Suitability Results of Sulbactum
System Suitability Results of
Durlobactum
USP Plate Count
USP Tailing
USP Plate Count
USP Tailing
1
10% less
5721
1.1
2349
1.01
2
*Actual
5799
1.2
2351
0.89
3
10% more
5793
0.98
2345
0.96
* Results for actual Mobile phase composition have been considered from Accuracy standard.
Acceptance criteria:
The Retention time, USP plate count, USP tailing factor obtained for change of flow rate, variation in mobile
phase was found to be within the acceptance criteria. Hence the method is robust.
CONCLUSION
The application of QbD principles in the development and validation of the HPLC method for simultaneous
estimation of sulbactam and durlobactam proves beneficial in enhancing method reliability and efficiency. By
systematically identifying and controlling key variables during method development, the method's robustness
and suitability for pharmaceutical analysis are significantly improved.
Furthermore, the establishment of a thorough method validation protocol ensures that the method meets
regulatory requirements for accuracy, precision, linearity, specificity, and robustness. The validated method
provides a reliable tool for routine analysis of sulbactam and durlobactam in pharmaceutical dosage forms,
contributing to the overall quality control and assurance in pharmaceutical manufacturing processes.
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