An Integrated Quality by Design RP-UPLC Method for Lumacaftor and Ivacaftor in Human Plasma
Subbarao Jhampani1, Rayini Venkata Sai Mounica2, Suryadevara Vidhyadhara3
1Department of Pharmaceutical Chemistry, Chebrolu Hanumaiah Institute of Pharmaceutical Sciences, Chowdavaram, Andhra Pradesh, India.
Biomedical Chromatography : BMC
|August 6, 2026
Summary
A new rapid RP-UPLC method accurately quantifies ivacaftor (IVA) and lumacaftor (LUMA) in cystic fibrosis patient plasma. This method enhances therapeutic drug monitoring for improved treatment outcomes.
Area of Science:
- Analytical Chemistry
- Pharmacology
- Biomedical Science
Background:
- Cystic fibrosis (CF) is a genetic disorder caused by CFTR gene mutations.
- Combination therapy with ivacaftor (IVA) and lumacaftor (LUMA) is a common treatment for CF.
- Accurate quantification of IVA and LUMA in human plasma is crucial for effective therapeutic drug monitoring.
Purpose of the Study:
- To develop and validate a Quality by Design (QbD)-based Reversed-Phase Ultra-Performance Liquid Chromatography (RP-UPLC) method.
- To achieve simultaneous estimation of IVA and LUMA in human plasma.
- To ensure efficient separation from plasma interferences, reduce run time, and maintain consistent analytical performance.
Main Methods:
- Utilized a Waters Acquity UPLC system with a CSH C18 column.
- Optimized the method using a Central Composite Design model.
- Employed a mobile phase of 0.01 N ammonium acetate and acetonitrile (60:40, v/v) at 0.3 mL/min, with column temperature at 30°C.
- Used EMT as the internal standard and detected analytes at 260 nm.
Main Results:
- Achieved retention times of 1.45 min for EMT, 1.77 min for IVA, and 1.99 min for LUMA.
- The developed method demonstrated high reliability, rapidity, and selectivity.
- Exhibited excellent linearity, precision, and accuracy, meeting USFDA guidelines.
Conclusions:
- The QbD-based RP-UPLC method provides a robust and efficient analytical tool for quantifying IVA and LUMA in human plasma.
- This validated method supports accurate therapeutic drug monitoring for cystic fibrosis patients.
- The method's speed and accuracy contribute to optimized combination therapy management.

