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 50 条
  • [41] A New Strategy for Rapid Classification of Honeys by Simple Cluster Analysis Method Based on Combination of Various Physicochemical Parameters
    Zhang Xiaohua
    Zhang Suya
    Qing Xiangdong
    Lu Zuokun
    CHEMICAL RESEARCH IN CHINESE UNIVERSITIES, 2019, 35 (03) : 390 - 394
  • [42] Characterisation and differentiation of geographical origin of Graviera cheeses produced in Greece based on physico-chemical, chromatographic and spectroscopic analyses, in combination with chemometrics
    Vatavali, K.
    Kosma, I
    Louppis, A.
    Gatzias, I
    Badeka, A., V
    Kontominas, M. G.
    INTERNATIONAL DAIRY JOURNAL, 2020, 110
  • [43] Characteristic Fingerprint Based on Low Polar Constituents for Discrimination of Wolfiporia extensa according to Geographical Origin Using UV Spectroscopy and Chemometrics Methods
    Li, Yan
    Zhang, Ji
    Zhao, Yanli
    Li, Zhimin
    Li, Tao
    Wang, Yuanzhong
    JOURNAL OF ANALYTICAL METHODS IN CHEMISTRY, 2014, 2014
  • [44] Classification and characterisation of Spanish red wines according to their appellation of origin based on chromatographic profiles and chemometric data analysis
    Serrano-Lourido, Daniel
    Saurina, Javier
    Hernandez-Cassou, Santiago
    Checa, Antonio
    FOOD CHEMISTRY, 2012, 135 (03) : 1425 - 1431
  • [45] Characterization and discrimination of Rhus chinensis Mill. honeys from different geographical origins based on physicochemical parameters, minerals, volatile compounds and antioxidant activities
    Congcong Lin
    Chiqing Chen
    Yiwen Liu
    Rui Liu
    Qun Lu
    Journal of Food Measurement and Characterization, 2025, 19 (5) : 3581 - 3599
  • [46] Geographical origin estimation of miniaturized samples of "Nova" mandarin juice based on multiple physicochemical and biochemical parameters conjointly with bootstrapping
    Kitsios, Apostolos-Panagiotis M.
    Lazaridis, Dimitrios G.
    Koutoulis, Antonios S.
    Karabagias, Vassilios K.
    Andritsos, Nikolaos D.
    Karabagias, Ioannis K.
    EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2025,
  • [47] Classification and authentication of tea according to their geographical origin based on FT-IR fingerprinting using pattern recognition methods
    Esteki, Mahnaz
    Memarbashi, Neda
    Simal-Gandara, Jesus
    JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2022, 106
  • [48] Characterization and classification of wines according to geographical origin, vintage and specific variety based on elemental content: a new chemometric approach
    Feher, Ioana
    Magdas, Dana Alina
    Dehelean, Adriana
    Sarbu, Costel
    JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2019, 56 (12): : 5225 - 5233
  • [49] Characterization and classification of wines according to geographical origin, vintage and specific variety based on elemental content: a new chemometric approach
    Ioana Feher
    Dana Alina Magdas
    Adriana Dehelean
    Costel Sârbu
    Journal of Food Science and Technology, 2019, 56 : 5225 - 5233
  • [50] Characteristic fingerprint based on gingerol derivative analysis for discrimination of ginger (Zingiber officinale) according to geographical origin using HPLC-DAD combined with chemometrics
    Yudthavorasit, Soparat
    Wongravee, Kanet
    Leepipatpiboon, Natchanun
    FOOD CHEMISTRY, 2014, 158 : 101 - 111