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Method Development of Orlistat Forced Degradation Sample using MaxPeak™ Premier Columns and QDa™ Mass Detection

Applications | 2024 | WatersInstrumentation
LC/MS, LC/SQ
Industries
Pharma & Biopharma
Manufacturer
Waters

Summary

Importance of the Topic


Understanding the degradation behavior of pharmaceutical compounds under forced stress conditions is essential for assessing molecular stability, identifying potentially harmful degradants, and establishing robust stability‐indicating methods for regulatory and quality control purposes. Orlistat, a lipase inhibitor used in weight management, undergoes various degradation pathways that must be fully characterized to ensure drug safety and efficacy.

Study Objectives and Overview


This application note describes the development of an efficient liquid chromatography–mass spectrometry (LC–MS) method for the forced degradation sample of orlistat. The work employed a systematic screening protocol combined with MaxPeak™ Premier column technology and QDa™ mass detection to achieve baseline separation of orlistat and its 13 degradants. Five stationary phases, two organic modifiers (acetonitrile and methanol), and two mobile phase pH conditions were evaluated to identify an optimized method within two days.

Methodology


The forced degradation sample was prepared by dissolving orlistat (1 mg/mL) in 71:29 acetonitrile:water and subjecting it to acid (1 N HCl), base (1 N NaOH), and thermal stress at 70 °C for two hours. Following quenching and pooling of all stress conditions, a three-step systematic screening protocol was applied: 1) pH screening at low (formic acid) and high (ammonium hydroxide) pH to select ionization conditions; 2) stationary phase and strong solvent screening using five MaxPeak Premier columns and both acetonitrile and methanol; 3) optimization of gradient and pH to meet assay criteria (USP tailing 0.8–1.2, baseline resolution).

Instrumentation

  • ACQUITY UPLC H-Class Plus System with Quaternary Solvent Manager
  • Sample Manager Flow Through Needle, Column Manager, QDa Mass Detector (ESI+ with SIR)
  • Columns (2.1 × 50 mm, 1.7 µm): BEH C18; CSH Phenyl-Hexyl; HSS PFP; HSS T3; BEH Shield RP18
  • Empower 3 Chromatography Data System

Results and Discussion


Initial pH screening showed comparable retention for orlistat across low and high pH; low pH was selected for broader column compatibility. Solvent screening with acetonitrile produced co-elutions and suboptimal peak shapes on all phases. Methanol at low pH on the ACQUITY Premier BEH C18 column yielded baseline resolution of all 14 analytes with sharp, symmetric peaks. Other phases exhibited selectivity differences but did not meet separation goals. The final gradient (5–95% organic over 6.86 min, total run time 10.30 min) and formic acid modification provided a robust, stability-indicating method.

Benefits and Practical Applications

  • Rapid method development in under two days via a structured screening protocol
  • Baseline separation of orlistat and 13 degradants with USP-compliant peak shapes
  • Reliable data generation due to MaxPeak HPS technology minimizing analyte–metal interactions
  • Applicability to stability-indicating assays, degradant isolation, and QC batch release testing

Future Trends and Applications


Extending this structured approach to other pharmaceutical compounds can accelerate stability method development. Integration with high-resolution MS and automated screening software or AI-driven column/solvent selection may further enhance efficiency. Adoption of advanced column hardware and systematic workflows is expected to streamline regulatory submissions and routine QC analysis.

Conclusion


The combination of a systematic screening protocol and MaxPeak Premier column technology enabled rapid development of a robust LC–MS method for orlistat forced degradation. The optimized method delivered baseline resolution and reliable peak performance in under two days, supporting stability assessment and future QC implementation.

References

  1. Al-Suwailem AK, Al-Tamimi AS, Al-Oumar MA, Al-Suhibani MS. Journal of Applied Sciences Research. 2006;205–208.
  2. Hadvary P, Lengsfeld H, Wolfer HJ. Biochemical Journal. 1989;357–361.
  3. Maziarz M, McCarthy S, Wrona M. Waters Application Note 720005026.
  4. Berthelette KD, Nguyen JM, Turner J. Waters Application Note 720007352.
  5. Berthelette KD, Turner JE, Walter TH, Haynes K. Waters Application Note 720007834.
  6. Hong P, McConville P. Waters White Paper 720005268.
  7. Delano M et al. Anal. Chem. 2021;93:5773–5781.
  8. Walter TH et al. LCGC Supplements. 2022;28–34.
  9. Smith K, Rainville P. Waters Application Note 720006745.
  10. Reed C et al. Waters Application Note 720008136.
  11. Addepalli B et al. Waters Application Note 720007926.
  12. Jung MC, Lauber MA. Waters Application Note 720007053.
  13. Zabala G et al. Waters Application Note 720007938.
  14. Boissel C et al. Waters Application Note 720007239.
  15. Berthelette K et al. Waters Application Note 720008113.
  16. Berthelette K et al. Waters Application Note 720007834.
  17. Alden B et al. Waters Poster, 2018.

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