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A speedy method for simultaneous determination in tablet active content by NIR and UV-Vis spectrophotometry: Comparison of PLS-1 and ICA-ANN models

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dc.creator AKTAŞ, Ahmet Hakan
dc.creator ŞAHİN, Halil
dc.date 2021-01-01T00:00:00Z
dc.date.accessioned 2021-12-03T11:53:51Z
dc.date.available 2021-12-03T11:53:51Z
dc.identifier b36b713c-2fae-4e5b-b76f-319e0c93b8f5
dc.identifier 10.35378/gujs.752042
dc.identifier https://avesis.sdu.edu.tr/publication/details/b36b713c-2fae-4e5b-b76f-319e0c93b8f5/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/94374
dc.description In this study, the Near-infrared (NIR) and Ultra-violet visible (UV-Vis) spectroscopy methods, which are frequently used in pharmaceutical industry, were applied to the environments where Paracetamol, Propyphenazone and Caffeine active substances are present, and the spectroscopic data obtained were evaluated comparatively with Independent Component Analysis - Artificial Neural Network (ICA-ANN) and Partial Least Squares-1 (PLS-1), which are powerful chemometric methods. When using solid agents in NIR method, liquid solutions equivalent to them were used in UV-Vis method. Following the application of both methods, spectral data were evaluated as chemometrics and in both spectroscopic methods ICA-ANN method yielded more accurate results than PLS-1. High recovery rates and relatively low standard deviations were found in the applied methods and recommended for use in the pharmaceutical industry.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title A speedy method for simultaneous determination in tablet active content by NIR and UV-Vis spectrophotometry: Comparison of PLS-1 and ICA-ANN models
dc.type info:eu-repo/semantics/article


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