Characterisation and classification of Greek pine honeys according to their geographical origin based on volatiles, physicochemical parameters and chemometrics

被引:120
|
作者
Karabagias, Ioannis K. [1 ]
Badeka, Anastasia [1 ]
Kontakos, Stavros
Karabournioti, Sofia [2 ]
Kontominas, Michael G. [1 ,3 ]
机构
[1] Univ Ioannina, Dept Chem, Food Chem Lab, GR-45110 Ioannina, Greece
[2] Attiki Honey SA, Krioneri Attikis 14568, Greece
[3] Amer Univ Cairo, Dept Chem, New Cairo 11835, Egypt
关键词
Pine honey; Classification; Volatile compounds; Physicochemical parameters; Chemometrics; SOLID-PHASE MICROEXTRACTION; CHEMICAL-COMPOSITION; UNIFLORAL HONEYS; CITRUS; DIFFERENTIATION; EXTRACTIVES; EUCALYPTUS; ROSEMARY;
D O I
10.1016/j.foodchem.2013.09.105
中图分类号
O69 [应用化学];
学科分类号
081704 ;
摘要
The aim of the present study was to characterise and classify Greek pine honeys according to geographical origin, based on the determination of volatile compounds and physicochemical parameters using MANOVA and Linear Discriminant Analysis. Thirty-nine pine honey samples were collected during the harvesting period 2011 from 4 different regions in Greece known to produce good quality pine honey. The analysis of volatile compounds was performed by Headspace Solid Phase Microextraction-Gas Chromatography/Mass Spectroscopy. Fifty-five volatile compounds were tentatively identified and semi quantified. Physicochemical parameter analysis included the determination of pH, free, lactonic and total acidity, electrical conductivity, moisture, ash, lactonic/free acidity ratio and colour parameters L*, a*, b*. Using 8 selected volatile compounds and 11 physicochemical parameters, the honey samples were satisfactorily classified according to geographical origin using volatile compounds (84.6% correct prediction), physicochemical parameters (79.5% correct prediction) and the combination of both (74.4% correct prediction). (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:548 / 557
页数:10
相关论文
共 45 条
  • [21] Characterization and classification of Western Greek olive oils according to cultivar and geographical origin based on volatile compounds
    Pouliarekou, Eirini
    Badeka, Anastasia
    Tasioula-Margari, Maria
    Kontakos, Stavros
    Longobardi, Francesco
    Kontominas, Michael G.
    JOURNAL OF CHROMATOGRAPHY A, 2011, 1218 (42) : 7534 - 7542
  • [22] Quality authentication and geographical origin classification of honey of Amhara region, Ethiopia based on physicochemical parameters
    Yayinie, Marie
    Atlabachew, Minaleshewa
    Tesfaye, Alemu
    Hilluf, Woldegiorgis
    Reta, Chaltu
    ARABIAN JOURNAL OF CHEMISTRY, 2021, 14 (03)
  • [23] Metabolomics and chemometrics applied to the chemotaxonomy of the genus Aldama (Asteraceae) and classification according to geographical origin
    Santos, F.
    Faleiro, D.
    Da Costa, F.
    PLANTA MEDICA, 2014, 80 (16) : 1383 - 1383
  • [24] Classification of Western Greek virgin olive oils according to geographical origin based on chromatographic, spectroscopic, conventional and chemometric analyses
    Karabagias, I.
    Michos, Ch.
    Badeka, A.
    Kontakos, S.
    Stratis, I.
    Kontominas, M. G.
    FOOD RESEARCH INTERNATIONAL, 2013, 54 (02) : 1950 - 1958
  • [25] Characterization and classification of Pinus oleoresin samples according to Pinus species, tapping method, and geographical origin based on chemical composition and chemometrics
    Rubini, Morandise
    Clopeau, Armand
    Sandak, Jakub
    Dumarcay, Stephane
    Sandak, Anna
    Gerardin, Philippe
    Charrier, Bertrand
    BIOCATALYSIS AND AGRICULTURAL BIOTECHNOLOGY, 2022, 42
  • [26] Chemometric Classification of Apple Juices According to Variety and Geographical Origin Based on Polyphenolic Profiles
    Guo, Jing
    Yue, Tianli
    Yuan, Yahong
    Wang, Yutang
    JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2013, 61 (28) : 6949 - 6963
  • [27] Characterization and classification of Romanian acacia honey based on its physicochemical parameters and chemometrics
    Craciun, Mihaela Emanuela
    Parvulescu, Oana Cristina
    Donise, Andreea Cristina
    Dobre, Tanase
    Stanciu, Dumitru Radu
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [28] Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics
    Cynkar, Wies
    Dambergs, Robert
    Smith, Paul
    Cozzolino, Daniel
    ANALYTICA CHIMICA ACTA, 2010, 660 (1-2) : 227 - 231
  • [29] Classification of Rice According to the Geographic Origin Based on Inductively Coupled Plasma Atomic Emission Spectrometry and Chemometrics
    Niu, Xiaoying
    Xia, Liya
    Zhang, Xiao-yu
    ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1, 2011, 104 : 433 - 438
  • [30] A new model to identify botanical origin of Polish honeys based on the physicochemical parameters and chemometric analysis
    Popek, Stanislaw
    Halagarda, Michal
    Kursa, Karolina
    LWT-FOOD SCIENCE AND TECHNOLOGY, 2017, 77 : 482 - 487