Using artificial neural network and multivariate calibration methods for simultaneous spectrophotometric analysis of Emtricitabine and Tenofovir alafenamide fumarate in pharmaceutical formulation of HIV drug

Spectrophotometric analysis method based on artificial neural network (ANN), partial least squares regression (PLS) and principal component regression (PCR) models was proposed for the simultaneous determination of Emtricitabine (ETB) and Tenofovir alafenamide fumarate (TAF) in human immunodeficienc...

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Veröffentlicht in:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jg. 215; S. 266 - 275
Hauptverfasser:	Arabzadeh, Valeh, Sohrabi, Mahmoud Reza, Goudarzi, Nasser, Davallo, Mehran
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier B.V 15.05.2019
Schlagworte:	Artificial neural network Emtricitabine Partial least squares regression Principal component regression Spectrophotometry Tenofovir alafenamide fumarate Emtricitabine Principal component regression Tenofovir alafenamide fumarate Artificial neural network Partial least squares regression Spectrophotometry
ISSN:	1386-1425, 1873-3557, 1873-3557
Online-Zugang:	Volltext
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