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ชื่อเรื่อง: | Comprehensive two-dimensional gas chromatography and three-dimensional fluorometry for detection of volatile and bioactive substances in some berries |
ผู้แต่ง: | 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 |
วันที่เผยแพร่: | 2015 |
บทคัดย่อ: | 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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