Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13717
Title: Comprehensive two-dimensional gas chromatography and three-dimensional fluorometry for detection of volatile and bioactive substances in some berries
Authors: Dymerski T.
Namies̈nik J.
Vearasilp K.
Arancibia-Avila P.
Toledo F.
Weisz M.
Katrich E.
Gorinstein S.
Keywords: Bioactivity
Cluster analysis
Discriminant analysis
Drug products
Fluorescence quenching
Fluorescence spectroscopy
Fruits
Ketones
Mass spectrometry
Smoke detectors
Comprehensive two-dimensional gas chromatography
Head-space solid-phase microextraction
Linear discriminant analyses (LDA)
Three-dimensional fluorescence spectroscopies
Three-dimensional fluorescences
Time of flight mass spectrometry
Two dimensional gas chromatography
Volatile substances
Gas chromatography
polyphenol
serum albumin
volatile organic compound
blueberry
chemistry
fluorometry
fruit
mass fragmentography
Ribes
Blueberry Plant
Fluorometry
Fruit
Gas Chromatography-Mass Spectrometry
Polyphenols
Ribes
Serum Albumin
Volatile Organic Compounds
Issue Date: 2015
Abstract: The volatile fractions of Cape gooseberry and blueberry were determined by headspace solid-phase microextraction coupled with comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (HS-SPME/GC×GC-TOFMS). The highest amount of alcohol (51.8%), ester (32.8%) and carboxylic acid (6.9%) was in blueberry in comparison with gooseberry and oppositely ketones (14.7%), aldehydes (9.9%) and terpenes (8%) were found in gooseberry. The bioactive compounds and antioxidant capacities were higher in blueberries than in gooseberries. Three dimensional fluorescence emission spectrometry (3D-FL) was applied to determine and to compare experimentally found binding parameters of berries extracts with human serum albumin (HSA). The fluorescence quenching of HSA by polyphenols from berries was a result of the formation of a polyphenol-HSA complex. The binding abilities of berries were highly correlated with the bioactivity of polyphenols and volatile substances. The cluster analysis (CA) and linear discriminant analysis (LDA) was applied to differentiate the berries samples according to their type. © 2014 Elsevier B.V. All rights reserved.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13717
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918537418&doi=10.1016%2fj.talanta.2014.11.061&partnerID=40&md5=4ca0e7c17f5515f0e2134d7a10194935
ISSN: 399140
Appears in Collections:Scopus 1983-2021

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