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A multiway spectral analysis model to monitor the kinetic chlorination reaction of caffeine and determine its content in commercial liquid and solid drinks.
Dinç, Erdal; Üçer, Asiye; Ünal, Nazangül.
Afiliação
  • Dinç E; Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, 06560 Yenimahalle, Ankara, Turkey. Electronic address: dinc@ankara.edu.tr.
  • Üçer A; Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, 06560 Yenimahalle, Ankara, Turkey; Department of Analytical Chemistry, Faculty of Pharmacy, Ankara Yildirim Beyazit University, 06010 Etlik, Keçiören, Ankara, Turkey.
  • Ünal N; Department of Analytical Chemistry, Faculty of Pharmacy, Ankara University, 06560 Yenimahalle, Ankara, Turkey; Department of Pharmacy Services, Esme Vocational School, Usak University, 64600 Usak, Turkey.
Food Chem ; 421: 136139, 2023 Sep 30.
Article em En | MEDLINE | ID: mdl-37094398
A multiway data analysis model, namely parallel factor analysis (PARAFAC) was proposed to decompose a three-way array of second-order kinetic UV measurements, for the chlorination reaction of caffeine with NaOCl, into a set of the spectra, time, and concentration matrices. The multiway resolution provided the simultaneous estimation of spectral, kinetic, and quantitative analysis of caffeine. The ability of the PARAFAC tool was checked by analyzing the validation samples in the presence of interferences. The added recovery and relative standard deviations for caffeine in the spiked samples were calculated as 99.1%-99.5% and 0.52%-1.34% for Iced Coffee Black liquid coffee (ICB), 99.5%-103.0% and 0.42%-1.03% for Jacobs Monarch Gold 100% Instant Coffee (JMG) and 99.5%-101.4% and 0.11%-0.13% for Çaykur Black Filter (Süzen) Bag Tea (BTB). Caffeine in commercial drinks was analyzed using the concentration matrices of the PARAFAC application. The PARAFAC results were statistically compared to those obtained by the developed UPLC method.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cafeína / Café Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cafeína / Café Tipo de estudo: Prognostic_studies Idioma: En Revista: Food Chem Ano de publicação: 2023 Tipo de documento: Article