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Impurity Analysis in Pharmaceutical Products with the Advanced Photodiode Array Detector SPD-M40

Applications | 2019 | ShimadzuInstrumentation
HPLC
Industries
Pharma & Biopharma
Manufacturer
Shimadzu

Summary

Significance of the Topic


Ensuring the safety and efficacy of pharmaceutical products requires precise quantification of trace impurities. Regulatory guidelines mandate identification and risk assessment when impurity levels exceed 0.1% of the drug substance. High-performance liquid chromatography (HPLC) with advanced photodiode array (PDA) detection offers a robust platform for impurity profiling during drug development and quality control.

Aim and Overview of the Study


This study demonstrates the application of the Shimadzu SPD-M40 PDA detector for impurity analysis in ketoprofen drug products. Objectives include evaluating detector linearity, sensitivity, baseline stability, reproducibility of impurity quantification, and spectral confirmation of low-level impurities.

Methodology and Instrumentation


HPLC analysis was performed using a Shim-pack Velox C18 column (100 mm × 3.0 mm, 2.7 µm) under a low-pressure gradient. Mobile phases consisted of 10 mM sodium phosphate buffer (pH 2.6) and acetonitrile. The gradient program ramped organic content from 30% to 90% over 6 minutes, returning to initial conditions by 8 minutes. Flow rate was 1 mL/min, column temperature 40 °C, injection volume 2 µL, and detection wavelength 256 nm. The SPD-M40 detector features triple thermal control (cell, light source, optics) and minimized stray-light effects, delivering >2.5 AU linear range and low noise.

Main Results and Discussion


Linearity was assessed across 0.5–800 mg/L ketoprofen, yielding R2 ≥ 0.9998. Six replicate injections of 700 mg/L standards showed consistent peak heights (~2.5 AU) and relative standard deviations below 1% for the primary impurity (>0.1% content). Six impurities (0.011–0.126% area) were quantified with area RSDs ranging from 0.598% to 4.556%. Peak purity analysis of the ketoprofen peak confirmed absence of coeluting compounds. Spectral verification of a minor impurity (0.046% area) demonstrated the detector’s sensitivity for structural confirmation at trace levels.

Benefits and Practical Applications of the Method


  • Wide dynamic range and high sensitivity enable simultaneous quantification of major drug peaks and trace impurities.
  • Stable baseline and low noise improve reproducibility in impurity assays.
  • PDA-based spectral data support peak purity assessment and impurity identification without additional detectors.
  • Fast gradient allows efficient throughput in routine quality control laboratories.

Future Trends and Potential Applications


  • Integration with hyphenated techniques (e.g., LC-MS) for detailed impurity structure elucidation.
  • Enhanced data analytics and machine learning for automated impurity pattern recognition.
  • Expansion to biologics and complex formulations where trace-level profiling is critical.
  • Use in stability studies to track degradation products over time.

Conclusion


The SPD-M40 PDA detector delivers reliable, high-performance impurity analysis for pharmaceutical products. Its broad linear dynamic range, low noise, and stable baseline facilitate precise quantification and spectral confirmation of trace impurities. This methodology supports stringent regulatory requirements and streamlines quality control workflows.

References


1) ICH Guidelines on Impurities in New Drug Substances, PMSB, Dec 16, 2002.
2) ICH Guidelines on Impurities in Drug Products, PMSB, Jun 24, 2003.

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