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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Vydáno v:	Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Ročník 215; s. 266 - 275
Hlavní autoři:	Arabzadeh, Valeh, Sohrabi, Mahmoud Reza, Goudarzi, Nasser, Davallo, Mehran
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Elsevier B.V 15.05.2019
Témata:	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
On-line přístup:	Získat plný text
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