This study explores the application of Raman spectroscopy for identifying and quantifying itopride in solid dosage forms with varying concentrations of active ingredients and excipients. Raman spectroscopy provides a non-invasive, rapid, and accurate detection method that is ideal for pharmaceutical analysis. The Raman spectral features of itopride in solid dosage forms were analyzed using Principal Component Analysis (PCA) and Partial Least Squares Regression Analysis (PLS-RA) as multivariate data analysis techniques. PCA effectively distinguished Raman spectral data of various itopride drug samples. PLS-RA facilitated quantitative analysis, yielding an R2 value of 0.999%, indicating an excellent explanation of model variability. The root mean square error of calibration and prediction were 0.23 mg and 3.02 mg, respectively. Furthermore, PLS-RA accurately determined the active pharmaceutical ingredient concentration in unknown formulations, with a calculated concentration of 79.66/80 mg (w/w) compared to the actual concentration of 80/140 mg (w/w). These findings demonstrated that the concentration of itopride in pharmaceutical samples using an established Partial Least Squares Regression calibration model can be determined with reliability.
Read full abstract- All Solutions
Editage
One platform for all researcher needs
Paperpal
AI-powered academic writing assistant
R Discovery
Your #1 AI companion for literature search
Mind the Graph
AI tool for graphics, illustrations, and artwork
Unlock unlimited use of all AI tools with the Editage Plus membership.
Explore Editage Plus - Support
Overview
3389 Articles
Published in last 50 years
Articles published on Solid Dosage Forms
Authors
Select Authors
Journals
Select Journals
Duration
Select Duration
3137 Search results
Sort by Recency