| dc.creator |
AKTAŞ, Ahmet Hakan |
|
| dc.date |
2017-12-31T21:00:00Z |
|
| dc.date.accessioned |
2020-10-06T11:22:44Z |
|
| dc.date.available |
2020-10-06T11:22:44Z |
|
| dc.identifier |
c3f9a722-0f7e-476c-99d5-39be4469fd08 |
|
| dc.identifier |
https://avesis.sdu.edu.tr/publication/details/c3f9a722-0f7e-476c-99d5-39be4469fd08/oai |
|
| dc.identifier.uri |
http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/71422 |
|
| dc.description |
In this research, definite, precision and correct spectrophotometric - chemometric techniques were developed for the drugs containing codeine and acetaminophen. The examined commercial pharmaceutical is Geralgine. The used calibration-prediction methods are partial least squares regression (PLSR) and independent component analysis-artificial neural networks (ICA-ANN). A concentration set including binary mixtures of codeine and acetaminophen formed to 25 different concentrations, were synthetic set prepared in 96% ethanol. The precision and accuracy of the developed method were validated by analyzing synthetic mixture containing the examining drug. Eventually, high recoveries and very low relative standard deviations were found. |
|
| dc.language |
eng |
|
| dc.rights |
info:eu-repo/semantics/closedAccess |
|
| dc.title |
Application of ANN-ICA and PLSR Methodologies for the Simultaneous Spectrophotometric Determination of Analgesic Drugs in Commercial Pharmaceutical |
|
| dc.type |
info:eu-repo/semantics/article |
|