Login / Signup

Non-Destructive Analysis of Chlorpheniramine Maleate Tablets and Granules by Chemometrics-Assisted Attenuated Total Reflectance Infrared Spectroscopy.

Chutima PhechkrajangPutthiporn KhongkaewWaree LimwikrantMontree Jaturanpinyo
Published in: Molecules (Basel, Switzerland) (2022)
Non-destructive analysis of chlorpheniramine maleate (CPM), pharmaceutical tablets, and granules was conducted by chemometrics-assisted attenuated total reflectance infrared spectroscopy (ATR-IR). For tablets, an optimum PLSR model with eight latent factors was obtained from area-normalized and standard normal variate (SNV) pretreated ATR-IR spectral data with correlation coefficients (R 2 ) of calibration and cross-validation of 0.9716 and 0.9602, respectively. The model capability for the 42 test set samples was proven with R 2 between the reference and model prediction values of 0.9632, and a root-mean-square error of prediction (RMSEP) of 1.7786. The successive PLSR model for granules was constructed from SNV and first derivative pretreated ATR-IR spectral data with two latent factors and correlation coefficients (R 2 ) of calibration and cross-validation of 0.9577 and 0.9450, respectively.
Keyphrases
  • computed tomography
  • big data
  • machine learning
  • oxidative stress
  • dna damage
  • data analysis
  • dual energy