Akademik Veri Yönetim Sistemi
CHROMATOGRAPHIA, cilt.79, sa.3-4, ss.189-198, 2016 (SCI-Expanded)
In this study, improved chromatographic multivariate calibration methods were developed for the quantitative analysis of caffeic acid (CAA) and rosmarinic acid (RA) in 12 different plant samples of Melissa officinalis L. (lemon balm), a perennial herb which belongs to the Lamiaceae family and is a well-known medicinal plant. UPLC (ultra performance liquid chromatography) separation was performed on a Waters UPLC BEH phenyl column (100 mm x 2.1 mm i.d., 1.7 mu m) using a mobile phase consisting of acetonitrile, 0.1 M formic acid buffer (pH 3.80), and acetic acid buffer (pH 4.74) (17: 76: 7, v/v) in the presence of 1.0 mL triethylamine in 1000 mL mobile phase. Multiwavelength chromatograms were obtained by photodiode array (PDA) detection in the wavelength range 275345 nm at intervals of Delta lambda = 10 nm. Partial least squares (PLS) and principal component regression (PCR) analyses were utilized by applying PCR and PLS algorithms to the concentration set and to the multiwavelength peak areas for both CAA and RA. The proposed UPLC-PCR and UPLC-PLS methods permitted the accurate quantification of CAA and RA in 12 samples of M. officinalis obtained from different herbalists in several Turkish cities.