Application of ANN-ICA and PLSR Methodologies for the Simultaneous Spectrophotometric Determination of Analgesic Drugs in Commercial Pharmaceutical
INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH AND ALLIED SCIENCES, cilt.7, sa.2, ss.22-29, 2018 (ESCI)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 7 Sayı: 2
- Basım Tarihi: 2018
- Dergi Adı: INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH AND ALLIED SCIENCES
- Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI)
- Sayfa Sayıları: ss.22-29
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
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.