LC-MS/MS Identification of Ozanimod Degradation Products and Development of a Green HPLC Method for Impurity Quantification

A green high-performance liquid chromatography (HPLC) method was developed and validated for the quantification of Ozanimod and its impurities, addressing the lack of environmentally friendly approaches in the literature. The method utilizes ethanol and aqueous trifluoroacetic acid (TFA) (70:30 v/v) as the mobile phase, with a Waters XBridge C18 column (150 × 4.6 mm, 5 μm), a 0.7 mL/min flow rate, and 270 nm detection. Method validation demonstrated acceptable linearity, accuracy, precision, and sensitivity for Ozanimod and its impurities. A forced degradation study identified three degradation products (DPs) under acidic and basic stress conditions, designated as DP 1, DP 2, and DP 3. Structural elucidation using LC-MS/MS and MSⁿ fragmentation analysis confirmed their identities. The green assessment of the method was conducted using GAPI (Green Analytical Procedure Index) and AGREE (Analytical GREEnness) tools, confirming a significant reduction in hazardous solvent usage while maintaining excellent chromatographic performance. This study introduces a validated, eco-friendly HPLC method for the quantification of Ozanimod and its impurities, along with structural characterization of its DPs, making it a sustainable and reliable approach for routine pharmaceutical analysis and stability studies.

Authors

Publication Details

Journal
METHODS AND OBJECTS OF CHEMICAL ANALYSIS
Published
2025-01-01
DOI
https://doi.org/10.17721/moca.2025.65-71
Primary Topic
Synthesis and Biological Evaluation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LC-MS/MS Identification of Ozanimod Degradation Products and Development of a Green HPLC Method for Impurity Quantification

V. Rajesh, Rao B. Sreenivasa, Sai Rekha Kadirimangalam, Rani N Usha et al.
METHODS AND OBJECTS OF CHEMICAL ANALYSIS
Synthesis and Biological Evaluation
article

LC-MS/MS Identification of Ozanimod Degradation Products and Development of a Green HPLC Method for Impurity Quantification

V. Rajesh, Rao B. Sreenivasa, Sai Rekha Kadirimangalam, Rani N Usha, Rao P.T.S.R.K Prasada
article en

Abstract

A green high-performance liquid chromatography (HPLC) method was developed and validated for the quantification of Ozanimod and its impurities, addressing the lack of environmentally friendly approaches in the literature. The method utilizes ethanol and aqueous trifluoroacetic acid (TFA) (70:30 v/v) as the mobile phase, with a Waters XBridge C18 column (150 × 4.6 mm, 5 μm), a 0.7 mL/min flow rate, and 270 nm detection. Method validation demonstrated acceptable linearity, accuracy, precision, and sensitivity for Ozanimod and its impurities. A forced degradation study identified three degradation products (DPs) under acidic and basic stress conditions, designated as DP 1, DP 2, and DP 3. Structural elucidation using LC-MS/MS and MSⁿ fragmentation analysis confirmed their identities. The green assessment of the method was conducted using GAPI (Green Analytical Procedure Index) and AGREE (Analytical GREEnness) tools, confirming a significant reduction in hazardous solvent usage while maintaining excellent chromatographic performance. This study introduces a validated, eco-friendly HPLC method for the quantification of Ozanimod and its impurities, along with structural characterization of its DPs, making it a sustainable and reliable approach for routine pharmaceutical analysis and stability studies.

METHODS AND OBJECTS OF CHEMICAL ANALYSISVol. 20(1)
Openalex Percentile: Top 95%
Synthesis and Biological Evaluation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.