Journal
MOLECULES
Volume 27, Issue 5, Pages -Publisher
MDPI
DOI: 10.3390/molecules27051707
Keywords
transmission Raman spectroscopy; paracetamol; quantitation; chemometrics
Ask authors/readers for more resources
Transmission Raman spectroscopy (TRS) has been shown to be a powerful tool for nondestructive quantitation in pharmaceutical manufacturing. In this study, the use of partial least-squares (PLS) enabled the construction of a model to predict drug concentrations with low error using handcrafted tablets.
In recent years, transmission Raman spectroscopy (TRS) has emerged as a potent new tool for rapid, nondestructive quantitation in pharmaceutical manufacturing. In order to expand the applicability of TRS and enhance its use in product quality monitoring during drug production, we aimed, in the present study, to apply partial least-squares (PLS) approaches to build a model consisting of 150 handmade tablets and covering 15 levels through the use of a multifactor orthogonal design of experiment (DOE), which was used to predict concentrations of validation tablets made by hand. The difference between results according to HPLC and TRS were negligible. The model was used to predict the active pharmaceutical ingredient (API) content in four random commercial paracetamol tablets, and corrected with the spectra of the commercial tablets to obtain four corresponding models. The results show that the content relative error in the model's predictions after correction with commercially available tablets was significantly lower than that before correction. The corrected model was used to make predictions for 20 tablets from the brand Panadol. Compared with the HPLC results, the prediction relative error was basically less than 4.00%, and the relative standard deviation (RSD) of the content was 0.86%.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available