Romanian Society of Pharmaceutical Sciences

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NON-DESTRUCTIVE ANALYSIS OF BARIUM SULPHATE TABLETS BY NEAR-INFRARED SPECTROSCOPY

RAPEE SUKTHONGCHAIKOOL 1, RANISTA TONGDEE 2, PAIRAT MUNEE 2, YAOWASINAE PHENGPHALA 1, SALINTHIP JARUSINTANAKORN 1, CHUTIMA PHECHKRAJANG 1, MONTREE JATURANPINYO 3, CHUTAMAS CHANASUK 3, SAWANYA BURANAPHALIN 1*

1 Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University, 447 Sri-Ayuthaya Road, Rajathevi, Bangkok 10400, Thailand
2 Department of Diagnostic Radiology, Siriraj hospital, Mahidol University, Bangkok, Thailand 3Department of Manufacturing Pharmacy, Faculty of Pharmacy, Mahidol University, 447 Sri-Ayuthaya Road, Rajathevi, Bangkok 10400, Thailand

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A novel formulation of barium sulphate tablets was developed to replace the commercial radiopaque markers, since the commercial products are quite expensive and there is a restriction access for Thai patients. The quantitative determination of barium sulphate according to the United State Pharmacopoeia is performed using a gravimetric method which requires tedious sample preparation steps. In this study, fast and non-destructive analysis of barium sulphate tablets by benchtop and portable near infrared spectrometry (NIR) combined with chemometrics approach was developed and compared with reliable inductively coupled plasma−optical emission spectrometry (ICP-OES). Partial least square regression (PLSR) was the chemometrics tool selected in this study. The optimum PLSR model for benchtop NIR was obtained from standard normal variate (SNV) and orthogonal signal correction (OSC) pretreated NIR spectral data with 1 latent factor, R2 Pearson for prediction was 0.9727, root mean square error of prediction (RMSEP) and bias were 3.7265 and 0.6614. While the best model for portable NIR was also obtained from SNV and OSC pretreated NIR spectral data with 2 latent factors, R2 Pearson for prediction was 0.9371, RMSEP and bias were 5.6147 and -0.2604. The assay results of benchtop and portable NIR were not significantly different from ICP-OES.