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Capillary electrophoresis fingerprinting and spectrophotometric determination of antioxidant potential for classification of Mentha products
Author(s) -
Roblová Vendula,
Bittová Miroslava,
Kubáň Petr,
Kubáň Vlastimil
Publication year - 2016
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201600235
Subject(s) - chemistry , chromatography , capillary electrophoresis , polyphenol , antioxidant , spectrophotometry , principal component analysis , mentha spicata , chemometrics , biochemistry , artificial intelligence , computer science , essential oil
In this work aqueous infusions from ten Mentha herbal samples (four different Mentha species and six hybrids of Mentha x piperita ) and 20 different peppermint teas were screened by capillary electrophoresis with UV detection. The fingerprint separation was accomplished in a 25 mM borate background electrolyte with 10% methanol at pH 9.3. The total polyphenolic content in the extracts was determined spectrophotometrically at 765 nm by a Folin–Ciocalteu phenol assay. Total antioxidant activity was determined by scavenging of 2,2‐diphenyl‐1‐picrylhydrazyl radical at 515 nm. The peak areas of 12 dominant peaks from CE analysis, present in all samples, and the value of total polyphenolic content and total antioxidant activity obtained by spectrophotometry was combined into a single data matrix and principal component analysis was applied. The obtained principal component analysis model resulted in distinct clusters of Mentha and peppermint tea samples distinguishing the samples according to their potential protective antioxidant effect. Principal component analysis, using a non‐targeted approach with no need for compound identification, was found as a new promising tool for the screening of herbal tea products.