Detailed Information on Publication Record
2016
Capillary electrophoresis fingerprinting and spectrophotometric determination of antioxidant potential for classification of Mentha products
ROBLOVÁ, Vendula, Miroslava BITTOVÁ, Petr KUBÁŇ and Vlastimil KUBÁŇBasic information
Original name
Capillary electrophoresis fingerprinting and spectrophotometric determination of antioxidant potential for classification of Mentha products
Authors
ROBLOVÁ, Vendula (203 Czech Republic, belonging to the institution), Miroslava BITTOVÁ (203 Czech Republic, belonging to the institution), Petr KUBÁŇ (203 Czech Republic, belonging to the institution) and Vlastimil KUBÁŇ (203 Czech Republic, guarantor)
Edition
Journal of Separation Science, Germany, WILEY-V C H VERLAG GMBH, 2016, 1615-9306
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10406 Analytical chemistry
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
Impact factor
Impact factor: 2.557
RIV identification code
RIV/00216224:14310/16:00090828
Organization unit
Faculty of Science
UT WoS
000380728700024
Keywords (in Czech)
kapilární elektroforéza, fingerprint, Máta peprná, mátový čaj
Keywords in English
Capillary electrophoresis; Fingerprinting; Infusions; Mentha x piperita; Peppermint tea
Tags
International impact, Reviewed
Změněno: 30/3/2017 14:37, Ing. Andrea Mikešková
Abstract
V originále
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.