Two-way and three-way resolutions of fluorescence excitation-emission dataset for the co-estimation of two pharmaceuticals in a binary mixture

DİNÇ E., Ertekin Z. C., BIYIK E.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, cilt.239, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 239
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.chemolab.2023.104873
  • Dergi Adı: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Biotechnology Research Abstracts, Chemical Abstracts Core, Chimica, Computer & Applied Sciences, EMBASE, INSPEC
  • Anahtar Kelimeler: Excitation -emission matrix, Multiway analysis, Multivariate curve resolution -alternating least, squares, Parallel factor analysis, Tucker3, PERFORMANCE LIQUID-CHROMATOGRAPHY, TOTAL SYNCHRONOUS FLUORESCENCE, AREA CORRELATION CONSTRAINT, AMLODIPINE BESYLATE, 2ND-ORDER DATA, MULTIVARIATE, CALIBRATION, SPECTROSCOPY, MCR, VALIDATION
  • Ankara Üniversitesi Adresli: Evet

Özet

A new comparative study based on applying two-way and three-way data analysis methods to the fluorescence excitation-emission matrices (EEMs) was performed to co-estimate two active pharmaceutical ingredients (amlodipine besylate, AD, and telmisartan, TS) in a binary mixture. Two-way data analysis was carried out by a bilinear model algorithm using multivariate curve resolution-alternative least squares (MCR-ALS). Three-way data analysis was performed by trilinear models using parallel factor analysis (PARAFAC), and Tucker3. Load-ings or profiles obtained by applying the MCR-ALS, PARAFAC, and Tucker3 to the EEMs in the presence of the overlapping excitation and emission spectra made it possible to obtain the individual contribution of the target drugs without requiring a chromatographic separation methodology. The excitation-emission spectra of the analytes were identified from the excitation and emission profiles. The quantity of two pharmaceuticals in analyzed samples was obtained from the relative concentration profiles using univariate calibration. The cali-bration curves were found to be linear in the range of 0.5-5.0 & mu;g/mL for both drugs. The validity of the methods was verified by analyzing validation samples. Then, the applicability of MCR-ALS, PARAFAC, and Tucker3 ap-proaches was tested for the assay of AD and TS in commercial tablets. For a comparison of the proposed bilinear and trilinear approaches, the statistical analyses including the one-way ANOVA and Bartlett tests were applied to the means and variances of the assay results, respectively. The statistical results showed that the precision and accuracy of the experimental results obtained with the MCR-ALS, PARAFAC, and Tucker3 models were com-parable for the assay of the two target drugs.