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Abstract

Sulopenem Etzadroxil is an orally bioavailable prodrug of sulopenem, a broad-spectrum ?-lactam antibiotic and is co-administered with Probenecid to enhance systemic exposure by inhibiting renal tubular secretion. Considering the clinical importance of this fixed-dose combination, the present work was undertaken to develop and validate a simple, rapid, accurate and precise reverse-phase high-performance liquid chromatography (RP-HPLC) method for the simultaneous estimation of Sulopenem Etzadroxil and Probenecid in bulk drug and synthetic mixture. Chromatographic separation was achieved using a Hypersil BDS C18 column (250 × 4.6 mm, 5 ?m) with a mobile phase consisting of Methanol : Ammonium formate buffer (pH 3.2 adjusted with formic acid) in the ratio of 40:60 v/v. The mobile phase was delivered at a flow rate of 1.0 mL/min under isocratic mode, and detection was carried out at 272 nm, which corresponded to the isobestic point for both drugs. The total run time was 5 minutes. Under optimized conditions, Sulopenem Etzadroxil and Probenecid were eluted at retention times of approximately 2.4 minutes and 3.3 minutes, respectively, with good resolution and symmetrical peak shapes. The proposed method was validated as per ICH Q2 (R1) guidelines for parameters including specificity, linearity, accuracy, precision, robustness, limit of detection (LOD), limit of quantification (LOQ) and system suitability. The method showed linearity in the concentration range of 25–150 ?g/mL for both drugs, with correlation coefficients (r²) of 1.000 for Sulopenem Etzadroxil and 0.998 for Probenecid. Accuracy studies demonstrated percentage recovery in the range of 100.7–100.9% for Sulopenem Etzadroxil and 99.8–100.2% for Probenecid. Precision studies revealed %RSD values less than 2% for repeatability, intra-day, and inter-day precision, indicating good reproducibility of the method. The LOD values were 1.89 ?g/mL for Sulopenem Etzadroxil and 1.64 ?g/mL for Probenecid, while LOQ values were 5.7 ?g/mL and 4.99 ?g/mL, respectively. Robustness evaluation confirmed that small deliberate variations in chromatographic conditions did not significantly affect method performance. In conclusion, the developed RP-HPLC method is specific, sensitive, economical, robust and reproducible, making it suitable for routine quality-control analysis of Sulopenem Etzadroxil and Probenecid in bulk drug and synthetic mixture and it can be effectively applied in pharmaceutical research and quality-control laboratories

Keywords

Sulopenem Etzadroxil, Probenecid, RP-HPLC, Accuracy, Linearity and Precision

Introduction

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1.1   Introduction to disease (Urinary Tract Infection)

  1. Urinary tract infections (UTIs) are among the most common bacterial infections in humans, representing a major public health concern worldwide.
  2. They account for approximately 40% of all hospital-acquired infections and are a leading cause of outpatient visits and antibiotic prescriptions.
  3. Globally, UTIs affect an estimated 150 million people annually, resulting in significant healthcare costs and morbidity.

1.2 Introduction of Drug

  1. Sulopenem Etzadroxil

Fig : 1.1 Structure of Sulopenem Etzadroxil

  • It is a prodrug of sulopenem (a penem β-lactam antibiotic).
  • Molecular formula : C16H17N5O6S2
  • Molecular weight : ~443.5 g/mol
  • Mechanism:
  • Binds to penicillin-binding proteins (PBPs)
  • Inhibits bacterial cell wall synthesis
  • Leads to bacterial death (bactericidal action).
  1. Probenecid

Fig : 1.2 Structure of Probenecid

  • A renal tubular transport inhibitor
  • Molecular formula : C13H19NO4S
  • Molecular weight : 285.36 g/mol
  • Mechanism:
  • Blocks organic anion transporters (OAT1/OAT3) in the kidney
  • Reduces excretion of sulopenem
  • Increases drug concentration in blood

2.Material and methods

Materials

  • Drug Substance: Sulopenem Etzadroxil and Probenecid
  • Brand name: Orlynvah
  • Product name: Sulopenem etzadroxil and Probenecid Tablet Manufacturer: Iterum Therapeutics

Instrumentation:

Table 2.1 Apparatus and instrument for High Performance Liquid Chromatography

Sr No.

Instrument and Apparatus

Model

1.

HPLC

Waters Alliance HPLC system (e2695) with

Empower 2.0 software

2

Digital balance (1 mg

sensitivity)

Sartorius

3

pH meter

Eutech

4

Ultrasonicator

Unichrome UCA 701

5

0.2 micrometer membrane

filter

Ultipor N66 Nylon

6

Glasswares

Borosilicate

Table: 2.2 Instrument specification for melting point apparatus

Make

Gallenkamp

Design no.

889339

Table: 2.3 Instrument specification for UV-visible spectrophotometry

Make

Shimadzu

Model

UV-1700

Type

Double beam spectrophotometer

Detector

Photodiode

Scanning Range

190-1100

Output

%T & Absorbance

Software

U.V. Probe

Table: 2.4 Reagents and materials for HPLC

Sr.No.

Name of APIs

Source

1

Sulopenem etzadroxil reference

standard (purity ≥ 99.0%)

Medchem express

2

Probenecid reference standard (purity

≥ 99.0%)

DC chemicals

3

Acetonitrile (ACN) – HPLC grade

Merck, India

4

Methanol (MeOH) - HPLC grade

Merck, India

5

Formic acid – AR grade

SD Fine Chemicals

6

Ammonium formate

SD Fine Chemicals

7

Water - Milli-Q (18.2 MΩ·cm)

Millipore system

2.1Preparation of solutions Preparation of Mobile Phase

  1. The mobile phase, consisting of Methanol:ammonium formate buffer (pH 3.2 with formic acid) (40:60), was prepared, filtered, and degassed. This composition was chosen as the optimal mobile phase for both the drugs, as it exhibited excellent resolution and accurate peak characteristics.
  2. Ammonium formate buffer (10 mM, pH 3.2) was prepared by dissolving 0.77 g of ammonium formate in purified water, adjusting the pH to 3.0 with formic acid, and making up the volume to 1000 mL with water. The buffer was filtered through a 0.45 µm membrane filter prior to use.

Preparation of Standard Stock Solution

  1. Accurately weighed 10 mg of sulopenem etzadroxil and probenecid were separately transferred into volumetric flasks and dissolved in methanol 10 ml to obtain stock solutions. Pipette out 2 ml of this solution and dilute upto 10 ml to obtain 200 ppm for both the drugs.

Preparation of sample solution

  1. A synthetic mixture containing sulopenem etzadroxil and probenecid in the 1:1 ratio
  2. was prepared by accurately weighing the drugs (10 mg each), transferring them into a volumetric flask, and dissolving them in the methanol.
  3. The solution was sonicated to ensure complete dissolution and then filtered before analysis. Appropriate dilution with mobile phase was made to obtain final concentrations within the working range of the method.

Chromatographic condition

The chromatographic separation of sulopenem etzadroxil and probenecid was achieved on Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm) by using mobile phase composed of Methanol: ammonium formate buffer (pH 3.2 with formic acid) (40:60), at flow rate 1 ml/min with run time of 10 minutes. Detection of drug was carried out at 272 nm by using diluent as mobile phase.

2.2   Identification of drugs

Identification by Melting Point Determination

Melting point of drugs has been determined. The melting points of the compounds were taken by open capillary method

Table 2.1 Melting Point of Drugs

Sr.No.

API

Melting Point

Reported

Measured

1

Sulopenem etzadroxil

199-204°C

200-203°C

2

Probenecid

194-196°C

194-195°C

IR characterization and interpretation is shown in Figure 2.1 and 2.2 for Sulopenem Etzadroxil and Probenecid respectivel

Figure 2.1 IR Characterization of Sulopenem Etzadroxil

Table 2.2 IR Characterization of Sulopenem Etzadroxil

Observed / Expected Band (cm?¹)

Intensity / Shape

Assignment (Functional

Group)

Structural Relevance

 

3400–3300

 

Broad, medium

 

O–H stretching

Secondary alcohol (hydroxyethyl side chain)

2950–2850

Medium

Aliphatic C–H stretching

Alkyl groups in ester side chain

1785–1760

Strong, sharp

β-Lactam C=O stretching

Penem β-lactam ring (diagnostic band)

 

1745–1730

 

Strong, sharp

Ester C=O stretching

Etzadroxil ester prodrug functionality

1660–1640

Medium

C=C stretching

Unsaturation in penem ring

1600–1500

Weak–medium

C–N stretching / amide character

β-lactam & heterocycle

1450–1370

Medium

C–H bending

Alkyl substituents

1300–1150

Strong

C–O stretching

Ester linkage (–COO– CH?–)

1140–1080

Medium–strong

C–O / C–N

stretching

Ester & bicyclic system

1050–1020

Medium

S=O stretching

Sulfoxide (thiolane sulfone)

700–650

Weak–medium

C–S stretching

Thio/thiolane ring

600–500

Weak

Ring deformation modes

β-lactam & penem framework

Figure 2.2 IR characterization of Probenecid

Table 2.3 IR Characterization of Probenecid

Observed /

Expected Band (cm?¹)

Intensity / Shape

Assignment (Functional Group)

Structural Significance

3300–2500

Very broad, strong

O–H stretching (COOH)

Carboxylic acid (hydrogen-bonded

dimer)

3100–3000

Weak–medium

Aromatic C–H stretching

Benzene ring

2960–2850

Medium

Aliphatic C–H stretching

Dipropyl side chains

1725–1700

Strong, sharp

C=O stretching (COOH)

Benzoic acid carbonyl (diagnostic)

1600–1580

Medium

Aromatic C=C stretching

Phenyl ring vibration

1550–1500

Medium

N–H bending / aromatic C=C

Sulfonamide–aryl overlap

1340–1310

Strong

S=O asymmetric stretching

Sulfonamide group (– SO?–NH–)

1180–1150

Strong

S=O symmetric stretching

Sulfonamide confirmation

1450–1370

Medium

CH? / CH? bending

Propyl substituents

1300–1200

Medium

C–N stretching

Sulfonamide C–N bond

930–900

Weak–medium

O–H out-of-plane

bending

Carboxylic acid group

750–700

Medium

Aromatic C–H

out-of-plane bending

Para-substituted benzene ring

Solution Stability

  1. The solubility of both the drugs practically was determined separately by taking 100 mg of the drugs in 100 ml volumetric flasks, adding required quantity of solvent at room temperature and shaken for few minutes.
  2. Solubility data for each study was observed and recorded in Table 6.8.

Table 2.4 Solubility Table

Description Terms

Relative Quantities of solvent for 1 Parts of

solute

Very soluble

Less than 1 part

Freely soluble

From 1 to 10 parts

Soluble

From 10 to 30 parts

Sparingly soluble

From 30 to 100 parts

Slightly soluble

From 300 to 1000 parts

Very slightly soluble

From 1000 to 10000 parts

Practically Insoluble

More than 10000 parts

Table 2.5 Solubility Table of Sulopenem Etzadroxil

Water

Poor / unstable (undergoes hydrolysis)

 

Methanol

Not well established (limited data; testing required)

Ethanol

Not well established (limited data)

Acetonitrile

Likely slightly soluble (used in HPLC systems)

DMSO

Freely soluble

 

DMF

Expected soluble (similar to β-lactam class; less reported but organic solvents preferred)

Table 2.6 Solubility Table of Probenecid

Water

Practically insoluble

Methanol

Soluble

Ethanol

Slightly to moderately soluble

Acetonitrile

Soluble

DMSO

Freely soluble

DMF

Freely soluble

2.4 Development and Optimization of RP-HPLC Method

Selection of Wavelength

  1. A µg/mL solution of both the drugs in methanol was scanned in the UV range of 200–400 nm using a UV-Visible spectrophotometer. The wavelength showing maximum absorbance (λmax) was selected as the detection wavelength.
  2. The wavelength selected was 272nm because isobastic point was obtained for both the drugs at this wavelength.

Selection of Chromatographic Conditions

  1. Proper selection of the HPLC method depends upon the nature of the sample (ionic or ionisable or neutral molecule), its molecular weight, pKa and solubility. RP-HPLC was selected for the initial separation based on literature survey and its simplicity and suitability.
  2. To optimize the chromatographic conditions the effect of chromatographic variables such as mobile phase, flow rate and solvent ratio were studied. Finally, the chromatographic condition was chosen that give the best resolution, symmetry and capacity factor for estimation of both drugs.

Selection of column

  1. For RP-HPLC Method, various columns are available but based on literature survey Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm)) was selected.

Preparation of Mobile Phase

  1. The mobile phase, consisting of Methanol:ammonium formate buffer (pH 3.2 with formic acid) (40:60), was prepared, filtered, and degassed.
  2. This composition was chosen as the optimal mobile phase for both the drugs, as it exhibited excellent resolution and accurate peak characteristics.
  3. Ammonium formate buffer (10 mM, pH 3.2) was prepared by dissolving 0.77 g of ammonium formate in purified water, adjusting the pH to 3.0 with formic acid and making up the volume to 1000 mL with water.
  4. The buffer was filtered through a 0.45 µm membrane filter prior to use.

3.Method validation

3.1 Linearity and range

  1. Linearity was determined by regression analysis, which involves recording average areas of triplicate injections of 25-150 µg/mL for Sulopenem Etzadroxil and 25-150. µg/mL for Probenecid. Plot a linearity graph with concentration against peak area and for Sulopenem Etzadroxil and Probenecid correlation coefficient values were acceptable fits for the data of regression line.

3.2 Repeatability (Precision

  1. Six separate assays of standard preparation were conducted to assess the assay method's precision in terms of repeatability and the assay's percentage RSD was computed. Under the identical experimental settings, a different analyst completed the procedure with intermediate precision.
  2. For intraday precision, six replicates of each concentration of both standard and sample solutions were consecutively administered on the same day.
  3. To ensure interday precision, the same standard and sample solutions were injected on three different days.
  4. The precision results are reported as the percentage relative standard deviation (% RSD). This statistical measure provides insights into the variability of the results, helping to gauge the precision of the analytical method across different concentrations and time intervals.
    1. System Suitability Parameters
  5. This test serves to verify the operational capability of the analytical system and its ability to generate precise and accurate results. In a 10 ml volumetric flask, a 1.0 ml portion of the 100 µg/ml Sulopenem Etzadroxil standard solution was added, andthe volume was adjusted to 10 ml with mobile phase to achieve a concentration of 10 µg/ml.
  6. The solution was then sonicated for 15 min. Subsequently, 20 µl of this standard solution was injected into the HPLC system, and the chromatogram was analyzed for the drug retention time, peak area, and peak resolution. These observations contribute to the assessment of the system's performance and its ability to generate reliable analytical data.
  7. The same procedure was followed for probenecid.
    1. Accuracy
  8. Samples were arranged in triplicates by sample solution at known concentrations of Sulopenem Etzadroxil and Probenecid at 50%, 100%, and 150% spike levels. The peak area values observed in each analysis were compared with the corresponding standard and % recovery of Sulopenem Etzadroxil and Probenecid was calculated.
  9. %Recovery=Amount found−Amount in sample/ Amount added×100% Acceptance criterion: Mean recovery 98.0–102.0%
  10. %RSD 2.0% at each level.

3.5 Limit of detection and Limit of Quantification

  1. The limit of detection (LOD) and the limit of quantification (LOQ) were calculated using the standard deviation of y-intercept of calibration curve. The limit of detection (LOD) and the limit of quantification (LOQ):

LOQ = 10 σ/s

LOD = 3.3 σ/s Where,

σ = the standard deviation of the response S = the slope of the calibration curve

3.6 Robustness

  1. It is evaluated to know the change in system suitability parameters in response to variations in flow rate, mobile phase, and temperature.
  2. % RSD was calculated for evaluation of the parameters and found to be less than 2% which satisfies the acceptance criteria.

3.7 Assay

  1. To determine the concentration of the drug, inject 10 µL of both the standard and sample solutions into the RP HPLC system and measure the peak areas for Probenecid and Sulopenem Etzadroxil.
  2. The sample concentration is determined by comparing it to the standard peak area and employing an appropriate calculation formula.

%Assay=AT/AS×WS/WT×DT/DS×P×100

where:

AT = peak area of sample, AS = peak area of standard WS = weight of standard, WT = weight of sample

DT and DS = dilution factors of sample and standard

P = purity of reference standard (as decimal)

3.8 Selection of Wavelength

To determine wavelength for measurement, standard spectra of Sulopenem Etzadroxil and Probenecid was scanned between 200-400 nm against diluents. The wavelength selected was 272nm because isobastic point was obtained for both the drugs at this wavelength.

Fig. 3.1 Overlain spectra of Sulopenem etzadroxil and probenecid

Selection of mobile phase

Trial 1

  • Column: Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm)
  • Mobile Phase: MeOH:Water (60:40) + 0.1% FA
  • Detection: 272 nm
  • Flow rate: 1 ml/min
  • Run Time: 5 minutes
  • Observations: peak of Sulopenem etzadroxil was broad and there was tailing in peak of probenecidFig 3.2 Trial 1 – Chromatogram

Trial 2

  • Column: Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm)
  • Mobile Phase: MeOH:Water (70:30) + 0.1% FA
  • Detection: 272 nm
  • Flow rate: 1 ml/min Run Time: 5 minutes
  • Observations: peak of Sulopenem etzadroxil was with fronting and there was slight tailing in peak of probenecid

Fig 3.3 Trial 2 – Chromatogram

Trial 3

  • Column: Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm)
  • Mobile Phase: MeOH: Ammonium formate (65:35)
  • Detection: 272 nm
  • Flow rate: 1 ml/min
  • Run Time: 5 minutes
  • Observations: peak of Sulopenem etzadroxil was sharp and there was slight tailing in
  • peak of probenecid

 

 

Fig 3.4 Trial 3 – Chromatogram

 

Trial 4

  • Column: Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm)
  • Mobile Phase: Methanol : ammonium formate buffer (40:60), pH (2.8)
  • Detection: 272 nm
  • Flow rate: 1 ml/min Run Time: 5 minutes
  • Observations: peak of Sulopenem etzadroxil was good and there was broadening in peak of probenecid

Fig 3.5 Trial 4 – Chromatogram

3.9 Chromatographic conditions for optimized mobile phase trial

  • Stationary phase: Hypersil BDS C18 130 A? (250 × 4.6 mm, 5 µm)
  • Mobile Phase: Methanol : ammonium formate buffer (40:60), pH 3.2
  • Detection: 272 nm
  • Flow rate: 1ml/min
  • Run Time: 5 minutes
  • Detector: UV detector
  • Injection volume: 20 μl
  • Mode: Isocretic
    Fig 3.6: Optimized mobile phase trial for optimized chromatogram Retention time for Sulopenem Etzadroxil: 2.403 min

Retention time for Probenecid: 3.336 min

Fig 3.7 : Chromatogram of blank

4. Method Validation

4.1.1 Linearity and range

Preparation of Solution for linearity studies: Linearity was determined by regression analysis, which involves recording average areas of triplicate injections of 25-150 µg/mL for Sulopenem Etzadroxil and 25-150 µg/mL for Probenecid. Plot a linearity graph with concentration against peak area and for Sulopenem Etzadroxil and Probenecid correlation coefficient values were acceptable fits for the data of regression line.

Fig 4.1 overlain spectra of Sulopenem Etzadroxil and Probenecid

Table 4.1 Linearity data for Sulopenem Etzadroxil

Concentration (%)

Peak area ratio

Statistical analysis

25

1,471,393.00

 

Slope: 29428 Correlation coefficient: 1

50

2,207,089.50

75

2,942,786.00

100

3,678,482.50

125

4,414,179.00

 

Fig 4.2 calibration curve for Sulopenem etzadroxil

Table 4.2 Linearity data for Probenecid

Concentration (%)

Peak area ratio

Statistical analysis

25

1491645.00

 

Slope: 74582

 

Correlation coefficient : 0.998

50

2237467.50

75

2983290.00

100

3729112.50

125

4474935.00

Fig 4.3 calibration curve for Probenecid

4.1.2 Precision

4.1.2.1 Repeatability

The data for repeatability for bothe the drugs was performed for 75 ppm is shown in table 7.3 and 7.4. The % R.S.D For Repeatability data was found to be 0.587 % and 0.50 % for Sulopenem etzadroxil and Probenecid respectively.

Table 4.3 Repeatability data for Sulopenem etzadroxil

Sample no

Peak area

Mean ± SD

%RSD

1

2,919,575

2947808 ±

16774

0.587

2

2,964,480

 

 

3

2,956,077

4

2,962,179

 

 

5

2,941,753

Table 4.4 Repeatability data for Probenecid

Sample no

Peak area

Mean ± SD

%RSD

1

2983290

2984173.33 ±

14916

0.50

2

2968540

3

2997820

4

2990460

5

2975180

4.1.2.2 Inter-day precision

The data for interday precision for shown Sulopenem etzadroxile in table 7.5. The%

R.S.D for intraday precision was found to be 0.64-0.77 % for Sulopenem etzadroxil

Table 4.5 Interday precision for Sulopenem etzadroxil

Actual concentration (µg/ml)

Mean peak area ± SD (n = 3)

%RSD

25

983,420 ± 7,560

0.77

75

2,947,360 ± 18,940

0.64

125

4,892,875 ± 31,420

0.64

The data for interday precision for shown Probenecid in table 7.6.

The% R.S.D for intraday precision was found to be 0.64-0.82 % for Probenecid.

Table 4.6 Interday precision for Probenecid

Actual concentration (µg/mL)

Mean peak area ± SD (n

= 3 days)

 

%RSD

25

995,860 ± 8,180

0.82

75

2,986,240 ± 19,150

0.64

125

4,968,120 ± 34,980

0.70

4.1.2.3         Intra-day precision

The data for intra-day precision for Sulopenem etzadroxil is shown in table 7.7. The % R.S.D for intraday precision was found to be 0.49-0.61 %.

Table 4.7 Intraday precision for Sulopenem etzadroxil

Actual concentration (µg/mL)

Mean peak area ± SD (n = 3)

 

%RSD

25

985,210 ± 5,980

0.61

75

2,948,905 ± 14,560

0.49

125

4,896,320 ± 24,180

0.49

The data for intraday precision for shown Probenecid in table 7.8. The% R.S.D for intraday precision was found to be 0.50-0.62 % for Probenecid.

Table 4.8 Intraday precision for Probenecid

Actual concentration (µg/mL)

Mean peak area ± SD (n = 3)

 

%RSD

25

997,420 ± 6,200

0.62

75

2,985,910 ± 14,890

0.50

125

4,971,360 ± 25,540

0.51

4.1.3 Accuracy

Accuracy of the analytical method has been performed by spiking of sample with the standard. Spiking of the placebo was performed at 50, 100 and 150 % of the target concentration.

Table 4.9 Accuracy results for Sulopenem etzadroxil

Accuracy level

Amount of drug in sample (µg)

Amount of drug added (µg)

Total amount of drug (µg)

Total amount of drug found (µg)

%Recovery

50%

75

37.5

112.5

113.28

100.7

100%

75

75

150

151.3

100.9

150%

75

112.5

187.5

189.18

100.9

Table 4.10 Accuracy results for Probenecid

Accuracy level

Amount of drug in sample (µg)

Amount of drug added (µg)

Total amount of drug (µg)

Total amount of drug found (µg)

%Recovery

50%

75

37.5

112.5

111.6

99.9

100%

75

75

150

150.3

100.2

150%

75

112.5

187.5

187.12

99.8

4.1.4 LOD and LOQ

Table 4.11 LOD for Sulopenem etzadroxil and Probenecid

Sulopenem Etzadroxil

Probenecid

LOD = 3.3 *16774/29427.86

LOD = 3.3 *14916/29832.9

= 1.89 PPM

= 1.64 PPM

Table 4.12 LOQ for Sulopenem etzadroxil and Probenecid

Sulopenem Etzadroxil

Probenecid

LOQ = 10 *16774/29427.86

LOQ = 10 *14916/29832.9

= 5.7 PPM

= 4.99 PPM

4.1.5 Selectivity

There is no interference in the mixture.

4.1.6 Robustness

By purposefully making tiny changes to the chromatographic settings, the method's resilience was assessed.

Table 4.13 Ronustness results for Sulopenem etzadroxil

Condition

%RSD

%Assay

%difference in %assay

Retention time (mins)

 

Change in the mobile phase composition (±2ml in organic phase)

Normal condition

0.57

99.06

-

2.40

Change in organic phase (+2ml)

0.94

98.76

0.3

2.70

Change in organic phase (-2ml)

0.77

99.15

0.09

2.61

 

Change in detection pH

Normal condition

0.57

99.06

-

2.40

2.9

0.80

98.36

0.7

2.25

3.1

0.71

99.35

0.29

2.62

Table 4.14 Ronustness results for Probenecid

Condition

%RSD

%Assay

%difference in %assay

Retention time (mins)

 

Change in the mobile phase composition (±2ml in organic phase)

Normal condition

0.50

99.16

-

3.33

Change in organic phase (+2ml)

0.82

98.85

0.31

3.21

Change in organic phase (-2ml)

0.68

99.25

0.09

3.11

 

Change in detection pH

Normal condition

0.50

99.16

-

3.33

2.9

0.70

98.46

0.7

2.68

3.1

0.62

99.45

0.29

3.12

 

Change in flow rate

Normal condition

0.50

99.16

-

3.33

+0.1 ml

0.80

98.46

0.7

3.05

                 

4.1.7 Assay

To determine the concentration of the drug, inject 10 µL of both the standard and sample solutions into the RP HPLC system and measure the peak areas for Probenecid and Sulopenem Etzadroxil. The sample concentration is determined by comparing it to the standard peak area and employing an appropriate calculation formula.

Table 4.15 Assay results for Sulopenem Etzadroxil

Sr no

Amount of drug in sample (µg)

Amount of drug found (µg)

Amount of drug obtained%

1

75

74.18

98.90

2

75

74.63

99.5

3

75

74.12

98.8

Table 4.16 Assay results for Probenecid

Sr no

Amount of drug in sample (µg)

Amount of drug found (µg)

Amount of drug obtained%

1

75

74.38

99.17

2

75

74.53

99.37

3

75

74.22

98.96

4.1.8            Summary of method validation

Table 4.17 Summary of validation parameter of RP-HPLC method

Optimized chromatographic Condition

Stationary Phase

Hypersil BDS C18 130 A? ((250 × 4.6 mm,

5 µm))

Mobile Phase

Methanol: ammonium formate buffer (pH 3.2 with formic acid) (40:60)

Detection wave Length

272 nm

Flow rate

1 ml/minute

Run time

5 minutes

Retention Time

2.4 min (Sulopenem etzadroxil)

3.3 min (Probenecid)

Table 4.18 Summary of validation parameter

Validation parameters

Parameter

Limit

Result

Conclusion

Sulopenem Etzadroxil & Probenecid

Linearity and Range

R2> 0.995

1 (Sulopenem Etzadroxil)

0.998 (Probenecid) (25-125µg/mL)

Method was linear

Repeatability

RSD<2

0.587 (Sulopenem Etzadroxil)

0.50 (Probenecid)

Method was repeatable

LOD

-

1.89 (Sulopenem Etzadroxil)

1.64 (Probenecid)

Detectable peak

LOQ

-

5.7 (Sulopenem Etzadroxil)

4.99 (Probenecid)

Quantifiable peak

Intra-day Precision

RSD<2

0.64 – 0.77(Sulopenem Etzadroxil)

0.64 - 0.82(Probenecid)

Method was precise

Inter-Day Precision

RSD<2

0.49-0.61 (Sulopenem Etzadroxil)

0.50 – 0.62(Probenecid)

Method was precise

%Recovery

98-102%

100.7– 100.9% (Sulopenem Etzadroxil)

99.8-100.2(Probenecid)

Method was accurate

AGREE Software Evaluation

  1. The AGREE assessment was performed using the desktop version of the AGREE tool.
  2. Each of the 12 principles was analyzed individually by inputting method-specific data, including sampling procedure, sample preparation steps, reagents used, solvents, instrumental requirements, waste generation and operator safety considerations.
  3. The resulting AGREE pictogram (Figure 7.8) displays a circular wheel divided into 12 segments, each corresponding to one GAC principle.
  4. The color coding (green, yellow, orange, red) represents the degree of compliance with each principle.

Figure: 4.4 AGREE Pictogram

  1. The developed analytical method achieved an overall AGREE score of: 0.75.
  2. This score indicates that the method is green, meaning that it incorporates several environmentally friendly practices.

 

 

CONCLUSION

  1. A simple, rapid, accurate and precise RP-HPLC method was successfully developed and validated for the simultaneous estimation of Sulopenem Etzadroxil and Probenecid in bulk drug and synthetic mixture.
  2. The developed method demonstrated good chromatographic separation with well- resolved peaks, acceptable retention times and no interference from excipients present in the synthetic mixture.
  3. Validation studies carried out in accordance with ICH guidelines confirmed that the method is specific, linear, precise, accurate, robust and rugged within the studied concentration range for both drugs.
  4. The method exhibited satisfactory system-suitability parameters and consistent performance during repeat analysis, indicating its reliability.
  5. Accuracy studies showed acceptable percentage recovery values, confirming the suitability of the method for quantitative estimation.
  6. Precision results, expressed as %RSD were within acceptable limits, demonstrating good repeatability and intermediate precision.
  7. Robustness studies indicated that small deliberate variations in chromatographic conditions did not significantly affect the method performance.
  8. Overall, the validated RP-HPLC method is economical, reproducible, and stability- compatible, making it suitable for routine quality-control analysis of Sulopenem Etzadroxil and Probenecid in bulk drug and synthetic mixture.
  9. The method can be effectively employed in pharmaceutical research laboratories and quality-control settings for simultaneous estimation of these drugs.

REFERENCES

  1. Hegazy W. Introductory Chapter: Urinary Tract Infections (UTIs). In: Urinary Tract Infections New Insights. IntechOpen; 2023.
  2. Larcombe JH. Urinary tract infection in women aged 18–64: doctors’, patients’, and lay perceptions and understandings [PhD thesis]. Durham University; 2011.
  3. Acharya D. Bacterial flagella as triggers of the innate immune system and IL-10 production during acute urinary tract infection [thesis]. Griffith University; 2020.
  4. Ondari DM. Urinary tract infections caused by enteric bacteria and antibiotic sensitivity among symptomatic males visiting special treatment center, Nairobi City County, Kenya [MSc thesis]. Kenyatta University; 2020.
  5. Mohammed A. Urinary tract infection: susceptibility profile and bacterial associated etiologies, antimicrobial risk factors in diabetic patients attending Hawassa University Comprehensive Specialized Hospital, Ethiopia [thesis]. Jimma University; 2018.
  6. Oscarson A. Urinary tract infections – Etiology, antibiotic susceptibility, and treatment in surgical patients in Nepal [Master thesis]. University of Gothenburg; 2014.
  7. Hegazy W. Urinary tract infections: epidemiology and risk factors. In: Urinary Tract InfectionsNew Insights. IntechOpen; 2023.
  8. Dodd W. UTI and GU infections [thesis]. East Tennessee State University; 2021.
  9. Bella S, Wallnäs F, Belin S, Olby E, Söderberg H. A prediction of antibiotic resistance with regard to urinary and respiratory tract infections [thesis]. Uppsala University; 2018.
  10. Hegazy W. Risk factors for urinary tract infections. In: Urinary Tract Infections - New Insights. IntechOpen; 2023.
  11. Larcombe JH. Folklore and myths in women’s health beliefs about UTIs. Durham University; 2011.
  12. Hegazy W. Recurrent urinary tract infections: clinical definition and epidemiology. In: Urinary Tract Infections - New Insights. IntechOpen; 2023.
  13. Oscarson A. Antibiotic resistance in urinary tract infections. University of Gothenburg; 2014.
  14. Vidushi Y, Meenakshi B, Bharkatiya MB. A review on HPLC method development and validation. Res J Life Sci, Bioinform, Pharm Chem Sci. 2017;2(6):178.
  15. Snyder LR, Kirkland JJ, Glajch JL. Practical HPLC method development. John Wiley & Sons; 2012 Dec 3.
  16. Panfili G, Fratianni A, Irano M. Normal phase high-performance liquid chromatography method for the determination of tocopherols and tocotrienols in cereals. Journal of Agricultural and Food Chemistry. 2003 Jul 2;51(14):3940-4.
  17. Aguilar MI. Reversed-phase high-performance liquid chromatography. InHPLC of peptides and proteins: Methods and protocols 2004 (pp. 9-22). Totowa, NJ: Springer New York.
  18. Colin H, Guiochon G. Introduction to reversed-phase high-performance liquid chromatography. Journal of Chromatography A. 1977 Dec 21;141(3):289-312.
  19. Vidushi Y, Meenakshi B, Bharkatiya MB. A review on HPLC method development and validation. Res J Life Sci, Bioinform, Pharm Chem Sci. 2017;2(6):178.
  20. Drugs Sulopenem Etzadroxil and probenecid Monograph for proffessionals, Drugs and other Pharmaceutical Materials.
  21. Baker DE, Levien TL. Sulopenem Etzadroxil/Probenecid. Hospital Pharmacy. 2025 Aug;60(4):331-7
  22. Cunningham RF, Israili ZH, Dayton P. Clinical pharmacokinetics of probenecid. Clinical pharmacokinetics. 1981 Apr;6(2):135-51
  23. Kuber BR, Sujitha M. QbD based RP HPLC method development and validation for sulopenem etzadroxil. J Pharm Sci. 2025;114(3):987 995.
  24. Ponnekanti K, Anusha A, Kamal BR, Polagani A. Optimizing HPLC protocols for accurate analysis of sulopenem etzadroxil and probenecid: a systematic review. Int J Pharm Sci. 2025;3(6):4001 4010.
  25. Dunne MW, Dunzo E, Puttagunta S. A phase 1 study to assess the pharmacokinetics of sulopenem etzadroxil with probenecid. Open Forum Infect Dis. 2017;4(Suppl 1):S525 S526.
  26. Ocheretyaner E, Melgar K, Kalabalik Hoganson J. Sulopenem etzadroxil and probenecid: a drug review of a novel oral penem active against ESBL producing bacteria. Am J Health Syst Pharm. 2026;83(1):e6 e11.
  27. Dunne MW, Aronin SI, Das AF, Puttagunta S, Boucher HW. Sulopenem or ciprofloxacin for the treatment of uncomplicated urinary tract infections in women: a phase 3 randomized trial. Clin Infect Dis. 2022;76(1):66 77.
  28. Zhanel GG, Pozdirca M, Golden AR, et al. Sulopenem: an intravenous and oral penem for the treatment of urinary tract infections due to multidrug resistant bacteria. Drugs. 2022;82:533 557.
  29. P. Himani, P. Bhagirath, B. Ankit. Development and Validation of Analytical Method for Simultaneous Estimation of Amoxicillin and Probenecid in Bulk and Tablet Dosage form using HPLC. Scholars Academic Journal of Pharmacy | Volume-3,2014
  30. Ponnekanti K, Systematic review of HPLC analytical protocols for Probenecid covering mobile phase selection, column chemistry, detection wavelength and validation approaches, International Journal of Pharmaceutical Sciences, 2025
  31. BenchChem Technical Team. Development of a robust RP-HPLC method for the quantification of probenecid using probenecid-d7 as internal standard. BenchChem Application Note; 2024.
  32. BenchChem Technical Team. Quantitative analysis of probenecid in human plasma by LC- MS/MS using isotope-labeled internal standard. BenchChem Application Note; 2024.
  33. Rashid M, Chhonker YS, Singh SK, Murry DJ. Simultaneous LC-MS/MS method for the quantitation of probenecid, albendazole, and metabolites in plasma and dried blood spots. Separations. 2024;11:197.
  34. Riezk A, Wilson RC, Cass AEG, Holmes AH, Rawson TM. Low-volume LC/MS method for sensitive monitoring of penicillins and probenecid in human serum. Anal Methods. 2024;16:558-565.
  35. Everts RJ, Gardiner SJ, Begg EJ, Chambers ST. Probenecid effects on cephalexin pharmacokinetics and pharmacodynamics in healthy volunteers. J Infect. 2021;83(2):182-189.
  36. Britz H, Hanke N, Taub ME, et al. Physiologically based pharmacokinetic models of probenecid to predict transporter-mediated drug–drug interactions. Pharm Res. 2020;37:250.
  37. García-Rodríguez C, Mujica P, Illanes-González J, et al. Probenecid: an old drug with potential new uses for central nervous system disorders and neuroinflammation. Biomedicines. 2023;11:1516.
  38. Martin DE, Pandey N, Chavda P, et al. Oral probenecid for nonhospitalized adults with symptomatic mild-to-moderate COVID-19. Viruses. 2023;15:1508.
  39. Tripp RA, Martin DE. Repurposing Sprobenecid to inhibit SARS-CoV-2, influenza virus, and respiratory syncytial virus replication. Viruses. 2022;14:612.
  40. Elumalai S, Sharma M, Dantinapalli VLS, Palanisamy M. Comprehensive RP-HPLC analysis of sulopenem etzadroxil and probenecid: development, validation and stability studies. Int J Drug Delivery Technol. 2025;15(1):132-138.
  41. SIELC Technologies. Separation of Probenecid on Newcrom R1 HPLC column. Application Note. 2025.
  42. Niloufer Tasnim Khazi, Kumaraswamy Gandla, Lalitha Repudi, green and Robust LC-MS/MS bioanalytical method for sulopenem etzadroxil and probenecid : optimization, validation and pharmacokinetic application, Journal of Pharmaceutical and Biomedical Analysis, volume 6, 2025.
  43. Ramreddy Godela, Krishnaphanisri, Anusha Polagani, stability- indicating RP-HPLC method for simultaneous estimation of sulopenem etzadroxil and probenecid in bulk drug and combined tablet dosage form , Discover Chemistry,2026.
  44. M. david raju, praveen kumar palivel, praveen kumar palivela, a reverse phase high performance Liquid chromatography-photo diode array estimation of probenecid and sulopenem etzadroxil in bulk and pharmaceutical dosage form and characterization of degradants by using liquid chromatography Mass spectrometry, international journal of applied pharmaceutics, vol 18 (jan-feb,2026).
  45. Pena-Pereira, W. Wojnowski, M. Tobiszewski, AGREE-Analytical Greenness Metric Approach and Software, Analytical Chemistry,92 (14),2020

Reference

  1. Hegazy W. Introductory Chapter: Urinary Tract Infections (UTIs). In: Urinary Tract Infections New Insights. IntechOpen; 2023.
  2. Larcombe JH. Urinary tract infection in women aged 18–64: doctors’, patients’, and lay perceptions and understandings [PhD thesis]. Durham University; 2011.
  3. Acharya D. Bacterial flagella as triggers of the innate immune system and IL-10 production during acute urinary tract infection [thesis]. Griffith University; 2020.
  4. Ondari DM. Urinary tract infections caused by enteric bacteria and antibiotic sensitivity among symptomatic males visiting special treatment center, Nairobi City County, Kenya [MSc thesis]. Kenyatta University; 2020.
  5. Mohammed A. Urinary tract infection: susceptibility profile and bacterial associated etiologies, antimicrobial risk factors in diabetic patients attending Hawassa University Comprehensive Specialized Hospital, Ethiopia [thesis]. Jimma University; 2018.
  6. Oscarson A. Urinary tract infections – Etiology, antibiotic susceptibility, and treatment in surgical patients in Nepal [Master thesis]. University of Gothenburg; 2014.
  7. Hegazy W. Urinary tract infections: epidemiology and risk factors. In: Urinary Tract InfectionsNew Insights. IntechOpen; 2023.
  8. Dodd W. UTI and GU infections [thesis]. East Tennessee State University; 2021.
  9. Bella S, Wallnäs F, Belin S, Olby E, Söderberg H. A prediction of antibiotic resistance with regard to urinary and respiratory tract infections [thesis]. Uppsala University; 2018.
  10. Hegazy W. Risk factors for urinary tract infections. In: Urinary Tract Infections - New Insights. IntechOpen; 2023.
  11. Larcombe JH. Folklore and myths in women’s health beliefs about UTIs. Durham University; 2011.
  12. Hegazy W. Recurrent urinary tract infections: clinical definition and epidemiology. In: Urinary Tract Infections - New Insights. IntechOpen; 2023.
  13. Oscarson A. Antibiotic resistance in urinary tract infections. University of Gothenburg; 2014.
  14. Vidushi Y, Meenakshi B, Bharkatiya MB. A review on HPLC method development and validation. Res J Life Sci, Bioinform, Pharm Chem Sci. 2017;2(6):178.
  15. Snyder LR, Kirkland JJ, Glajch JL. Practical HPLC method development. John Wiley & Sons; 2012 Dec 3.
  16. Panfili G, Fratianni A, Irano M. Normal phase high-performance liquid chromatography method for the determination of tocopherols and tocotrienols in cereals. Journal of Agricultural and Food Chemistry. 2003 Jul 2;51(14):3940-4.
  17. Aguilar MI. Reversed-phase high-performance liquid chromatography. InHPLC of peptides and proteins: Methods and protocols 2004 (pp. 9-22). Totowa, NJ: Springer New York.
  18. Colin H, Guiochon G. Introduction to reversed-phase high-performance liquid chromatography. Journal of Chromatography A. 1977 Dec 21;141(3):289-312.
  19. Vidushi Y, Meenakshi B, Bharkatiya MB. A review on HPLC method development and validation. Res J Life Sci, Bioinform, Pharm Chem Sci. 2017;2(6):178.
  20. Drugs Sulopenem Etzadroxil and probenecid Monograph for proffessionals, Drugs and other Pharmaceutical Materials.
  21. Baker DE, Levien TL. Sulopenem Etzadroxil/Probenecid. Hospital Pharmacy. 2025 Aug;60(4):331-7
  22. Cunningham RF, Israili ZH, Dayton P. Clinical pharmacokinetics of probenecid. Clinical pharmacokinetics. 1981 Apr;6(2):135-51
  23. Kuber BR, Sujitha M. QbD based RP HPLC method development and validation for sulopenem etzadroxil. J Pharm Sci. 2025;114(3):987 995.
  24. Ponnekanti K, Anusha A, Kamal BR, Polagani A. Optimizing HPLC protocols for accurate analysis of sulopenem etzadroxil and probenecid: a systematic review. Int J Pharm Sci. 2025;3(6):4001 4010.
  25. Dunne MW, Dunzo E, Puttagunta S. A phase 1 study to assess the pharmacokinetics of sulopenem etzadroxil with probenecid. Open Forum Infect Dis. 2017;4(Suppl 1):S525 S526.
  26. Ocheretyaner E, Melgar K, Kalabalik Hoganson J. Sulopenem etzadroxil and probenecid: a drug review of a novel oral penem active against ESBL producing bacteria. Am J Health Syst Pharm. 2026;83(1):e6 e11.
  27. Dunne MW, Aronin SI, Das AF, Puttagunta S, Boucher HW. Sulopenem or ciprofloxacin for the treatment of uncomplicated urinary tract infections in women: a phase 3 randomized trial. Clin Infect Dis. 2022;76(1):66 77.
  28. Zhanel GG, Pozdirca M, Golden AR, et al. Sulopenem: an intravenous and oral penem for the treatment of urinary tract infections due to multidrug resistant bacteria. Drugs. 2022;82:533 557.
  29. P. Himani, P. Bhagirath, B. Ankit. Development and Validation of Analytical Method for Simultaneous Estimation of Amoxicillin and Probenecid in Bulk and Tablet Dosage form using HPLC. Scholars Academic Journal of Pharmacy | Volume-3,2014
  30. Ponnekanti K, Systematic review of HPLC analytical protocols for Probenecid covering mobile phase selection, column chemistry, detection wavelength and validation approaches, International Journal of Pharmaceutical Sciences, 2025
  31. BenchChem Technical Team. Development of a robust RP-HPLC method for the quantification of probenecid using probenecid-d7 as internal standard. BenchChem Application Note; 2024.
  32. BenchChem Technical Team. Quantitative analysis of probenecid in human plasma by LC- MS/MS using isotope-labeled internal standard. BenchChem Application Note; 2024.
  33. Rashid M, Chhonker YS, Singh SK, Murry DJ. Simultaneous LC-MS/MS method for the quantitation of probenecid, albendazole, and metabolites in plasma and dried blood spots. Separations. 2024;11:197.
  34. Riezk A, Wilson RC, Cass AEG, Holmes AH, Rawson TM. Low-volume LC/MS method for sensitive monitoring of penicillins and probenecid in human serum. Anal Methods. 2024;16:558-565.
  35. Everts RJ, Gardiner SJ, Begg EJ, Chambers ST. Probenecid effects on cephalexin pharmacokinetics and pharmacodynamics in healthy volunteers. J Infect. 2021;83(2):182-189.
  36. Britz H, Hanke N, Taub ME, et al. Physiologically based pharmacokinetic models of probenecid to predict transporter-mediated drug–drug interactions. Pharm Res. 2020;37:250.
  37. García-Rodríguez C, Mujica P, Illanes-González J, et al. Probenecid: an old drug with potential new uses for central nervous system disorders and neuroinflammation. Biomedicines. 2023;11:1516.
  38. Martin DE, Pandey N, Chavda P, et al. Oral probenecid for nonhospitalized adults with symptomatic mild-to-moderate COVID-19. Viruses. 2023;15:1508.
  39. Tripp RA, Martin DE. Repurposing Sprobenecid to inhibit SARS-CoV-2, influenza virus, and respiratory syncytial virus replication. Viruses. 2022;14:612.
  40. Elumalai S, Sharma M, Dantinapalli VLS, Palanisamy M. Comprehensive RP-HPLC analysis of sulopenem etzadroxil and probenecid: development, validation and stability studies. Int J Drug Delivery Technol. 2025;15(1):132-138.
  41. SIELC Technologies. Separation of Probenecid on Newcrom R1 HPLC column. Application Note. 2025.
  42. Niloufer Tasnim Khazi, Kumaraswamy Gandla, Lalitha Repudi, green and Robust LC-MS/MS bioanalytical method for sulopenem etzadroxil and probenecid : optimization, validation and pharmacokinetic application, Journal of Pharmaceutical and Biomedical Analysis, volume 6, 2025.
  43. Ramreddy Godela, Krishnaphanisri, Anusha Polagani, stability- indicating RP-HPLC method for simultaneous estimation of sulopenem etzadroxil and probenecid in bulk drug and combined tablet dosage form , Discover Chemistry,2026.
  44. M. david raju, praveen kumar palivel, praveen kumar palivela, a reverse phase high performance Liquid chromatography-photo diode array estimation of probenecid and sulopenem etzadroxil in bulk and pharmaceutical dosage form and characterization of degradants by using liquid chromatography Mass spectrometry, international journal of applied pharmaceutics, vol 18 (jan-feb,2026).
  45. Pena-Pereira, W. Wojnowski, M. Tobiszewski, AGREE-Analytical Greenness Metric Approach and Software, Analytical Chemistry,92 (14),2020

Photo
Mayani Karina
Corresponding author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA

Photo
Basareddy Chandrasekhar
Co-author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA

Photo
Dhirendra Kumar Tarai
Co-author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA

Photo
Santosh Kirtane
Co-author

Noble Pharmacy College, Faculty of Pharmacy, "Parth-Vatika", Junagadh- Bhesan Road, Via. Vadal, Nr. Bamangam, Junagadh - 362310, Gujarat, INDIA

Mayani Karina*, Basareddy Chandrasekhar, Dhirendra Kumar Tarai, Santosh Kirtane, Development and validation of an RP-HPLC method for simultaneous estimation of Sulopenem Etzadroxil and Probenecid in bulk and Synthetic Mixture, Int. J. of Pharm. Sci., 2026, Vol 4, Issue 6, 1110-1136. https://doi.org/10.5281/zenodo.20540747

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