Evolving three-dimensional modeling of UV spectral measurements in the wavelet domain to separate the signals of analytes and quantify their content in a two-component mixture
Chemometrics and Intelligent Laboratory Systems, cilt.276, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 276
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.chemolab.2026.105787
- Dergi Adı: Chemometrics and Intelligent Laboratory Systems
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Chemical Abstracts Core, Chimica, Compendex, EMBASE, INSPEC, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO)
- Anahtar Kelimeler: Evolving 3D modeling of UV spectra, Mixture analysis, Quantification, Separation of CWT spectra, Wavelet domain
- Ankara Üniversitesi Adresli: Evet
Özet
Evolving three-dimensional modeling of UV spectral measurements in the wavelet domain to separate the signals of analytes and quantify their content in a two-component mixture (a combination of perindopril and indapamide) was described. In this study, the key innovation is the generation of a three-way data structure from originally two-dimensional UV multivariate measurements, which enables reliable spectral separation and quantification. A multivariate UV spectral data matrix was processed using the continuous wavelet transform (CWT) at different scales to generate CWT data matrices. Then, the three-way array obtained from CWT data matrices was decomposed by parallel factor analysis (PARAFAC) into CWT spectral, concentration, and CWT scale components. Individual curves for perindopril and indapamide in a two-component mixture were included in the estimated profiles (CWT signal, concentration, and CWT scale factor). The CWT signals of analytes in the investigated samples were identified using their separated CWT curves in the estimated CWT spectral profile. Then, perindopril and indapamide in the samples were determined using the concentration profile obtained from three-dimensional modeling of UV spectral measurements in the wavelet domain. The validity of the newly developed advanced methodology was confirmed through the analysis of independent test samples, each containing varying levels of analytes. The proposed chemometric hybrid model was applied to the assay of tablets containing perindopril and indapamide.