dc.contributor.author |
Beliz, Kaya
|
|
dc.contributor.author |
Dinç, Erdal
|
|
dc.contributor.author |
Baleanu, Dumitru
|
|
dc.date.accessioned |
2016-05-03T08:55:09Z |
|
dc.date.available |
2016-05-03T08:55:09Z |
|
dc.date.issued |
2009-06 |
|
dc.identifier.citation |
Beliz, K., Dinç, E., Baleanu, D. (2009). Chemometric Methods for the Simultaneous Spectrophotometric Determination of Telmisartan and Hydrochlorotiazide in the Commercial Pharmaceuticals. Revista De Chimie, 60(6), 544-550. |
tr_TR |
dc.identifier.issn |
034-7752 |
|
dc.identifier.uri |
http://hdl.handle.net/20.500.12416/970 |
|
dc.description.abstract |
Simultaneous spectrophotometric determination of telmisartan (TEL) and hydrochlorothiazide (HCT) in two different commercial pharmaceutical preparations were performed by using three different chemometric methods, namely principal component regression (PCR), partial least squares (PLS) and artificial neural network (ANN). The proposed chemometric methods do not require chemical seperation and spectral graphical procedures for the quantitative resolution of mixtures containing the titled compounds. In the preparation of chemometric calibrations, a concentration set of 45 synthetic mixtures containing TEL and HCT in the linear concentration range of 1.0-26.0 and 1.0-17.0 mu g/mL, respectively was simetrically prepared in methanol. The spectra of the above concentration set and samples were recorded in the spectral range of 200-350 nm. Concentration set and its corresponding absorbances in the selected spectral range corresponding to the 250-350 nm wavelength range was used to obtain PCR, PLS and ANN calibrations. Recovery study, intra-day, inter-day and standard addition technique were considered as method validation. Three proposed chemometric approaches were sucessfully applied to the quantitative analysis of two different commercial pharmaceutical products |
tr_TR |
dc.language.iso |
eng |
tr_TR |
dc.publisher |
Chiminform Data S A |
tr_TR |
dc.rights |
info:eu-repo/semantics/closedAccess |
|
dc.subject |
Partial Least Squares |
tr_TR |
dc.subject |
Principal Component Regression |
tr_TR |
dc.subject |
Artificial Neural Networks |
tr_TR |
dc.subject |
Simultaneous Determination |
tr_TR |
dc.subject |
Telmisartan |
tr_TR |
dc.subject |
Hydrochlorotiazide |
tr_TR |
dc.title |
Chemometric Methods for the Simultaneous Spectrophotometric Determination of Telmisartan and Hydrochlorotiazide in the Commercial Pharmaceuticals |
tr_TR |
dc.type |
article |
tr_TR |
dc.relation.journal |
Revista De Chimie |
tr_TR |
dc.contributor.authorID |
6981 |
tr_TR |
dc.identifier.volume |
60 |
tr_TR |
dc.identifier.issue |
6 |
tr_TR |
dc.identifier.startpage |
544 |
tr_TR |
dc.identifier.endpage |
550 |
tr_TR |
dc.contributor.department |
Çankaya Üniversitesi, Fen Edebiyat Fakültesi, Matematik Bilgisayar Bölümü |
tr_TR |