Article http://dx.doi.org/10.26855/ea.2022.12.012
PAT Monitoring of Coating Pan by NIR - PLS Method Calibration Approach
Andrea Umberto Gelain1,*, Eleonora Mustorgi2, Alice Melocchi3, Emiliano Genorini2, Giuseppe Buratti1
1Freund-Vector Corporation European Laboratory, Via Enrico Mattei 2, Villasanta (MB), Italy.
2VIAVI Solutions, Via Cernuschi 8, Monza (MB), Italy.
3Università degli Studi di Milano, Dipartimento di Scienze Farmaceutiche, Via G.Colombo 71, Milano (MI), Italy.
*Corresponding author: Andrea Umberto Gelain
Published: January 12,2023
Abstract
A process analytical technology (PAT) method relying on near infrared (NIR) diffuse reflectance spectrometry was developed to determine the average coating thickness applied and the weight gained by tablets during coating process. The NIR device was installed inside the pan directly in contact with the cores under processing and relevant spectra were recorded in real time during the entire coating process. The method required principal component analysis (PCA) and partial least squares regression (PLS). The primary methods to calibrate PLS are tablet weight gain and coating thickness, they were carried out using the chemometric methods. The PLS-model was employed as the calibration curve for an online process monitoring and was based on the spectra obtained from the tablets during coating, pretreated with SNV and first derivative, and ordered into one object. This way, the method developed could be advantageously used for in-line PAT monitoring. Additional characterization insights were attained by calibrating the spectra versus the weight gain data obtained from at-line tablet weighing. Overall, the possibility to monitor multiple parameters using just one device and one spectrum was demonstrated.
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How to cite this paper
PAT Monitoring of Coating Pan by NIR - PLS Method Calibration Approach
How to cite this paper: Andrea Umberto Gelain, Eleonora Mustorgi, Alice Melocchi, Emiliano Genorini, Giuseppe Buratti. (2022). PAT Monitoring of Coating Pan by NIR - PLS Method Calibration Approach. Engineering Advances, 2(2), 201-210.
DOI: https://dx.doi.org/10.26855/ea.2022.12.012