J 2016

Capillary electrophoresis fingerprinting and spectrophotometric determination of antioxidant potential for classification of Mentha products

ROBLOVÁ, Vendula, Miroslava BITTOVÁ, Petr KUBÁŇ and Vlastimil KUBÁŇ

Basic 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

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.