creating knowledge for future



High Quality


Scholarly Publishing
                CAREER NETWORK  
         
World's one of the largest Research
Career Network
Benefits
  •     Academic & Industry jobs
  •     Project funding
  •     Visiting faculty positions
  •     Visiting scientist positions
  •     Invited talks
  •     and more...  
   
Register FREE  
 
 
 
 
 
  Global Journal of Analytical Chemistry. Volume 1, Issue 2 (2010) pp. 134-145
  Research Article
 
Automated solid phase extraction method for quantification of montelukast in human plasma using LC-MS/MS and its application to a bioequivalence study
  Satish G. Pingale a,b*, Ketan K. Nerurkarb, Uttam D. Pawarb, Sudhir S. Pawarb, Ketan M. Tulpulea, Kiran V. Mangaonkara  
     
aAnalytical Chemistry Research Laboratory, Mithibai College of Arts, Chauhan Institute of Science & Amrutben Jivanlal College of Commerce and Economics, Vile Parle (W), Mumbai 400056, India
bDrug Monitoring Research Institute, Rabale 400701, Navi Mumbai , India

   
  Abstract  
 

An analytical method based on solid phase extraction has been developed and validated for analysis of montelukast in human plasma. Metaxalone was used as an internal standard for montelukast. A HyPURITY Advance C18 column provided chromatographic separation of analytes followed by detection with mass spectrometry. The method involves simple isocratic chromatographic conditions and mass spectrometric detection in the positive ionization mode using an API-4000 system. The proposed method has been validated with linear range of 5–800 ng/mL for montelukast. The intra-run and inter-run precision values are within 4.04% and 9.44% respectively for montelukast at lower limit of quantification level. The overall recovery for montelukast and metaxalone was 70.40% and 94.21% respectively. This validated method was used successfully for analysis of plasma samples from a bioequivalence study.

     
  Keywords  
  Automated solid phase extraction; tandem mass spectrometry; montelukast in human plasma  
     
   
   
   
   
     

  © 2016 Cognizure