Research article Topical Sections

Geographical differentiation of Cypriot multifloral honeys through specific volatile compounds and the use of DFA

  • Received: 06 December 2018 Accepted: 11 February 2019 Published: 18 February 2019
  • The objective of the present work was to investigate the volatile profile of multifloral honeys collected from different regions in Cyprus, and whether these specific volatiles could serve as true markers of geographical origin. An effort to highlight differences in the volatile amounts of Cypriot honeys according to altitude of harvesting was also carried out. Aqueous solutions of honeys were subjected to headspace solid phase microextraction coupled to gas chromatography/mass spectrometry analysis (HS-SPME/GC-MS). Results showed that 25 volatile compounds of different classes were identified in all samples by 100% frequency rate. Application of multivariate analysis of variance (MANOVA) showed that 3 volatiles [1-(2-furanyl-ethanone), cis-linalool oxide, para-cymenene] recorded significant variations (p < 0.05) according to geographical origin. Discriminant function analysis (DFA) classified honeys according to geographical origin providing a total classification rate of 85% using the original and 70% the cross validation method based on the aforementioned volatiles. It is possible then for an analyst to characterize the geographical origin of honey, even in cases when multifloral honeys are subjected to research/analysis. Regarding the effect of altitude on Cypriot honey aroma, results showed that the lower the altitude of harvesting the richer the aroma of honeys.

    Citation: Ioannis K. Karabagias, Chara Papastephanou, Vassilios K. Karabagias. Geographical differentiation of Cypriot multifloral honeys through specific volatile compounds and the use of DFA[J]. AIMS Agriculture and Food, 2019, 4(1): 149-162. doi: 10.3934/agrfood.2019.1.149

    Related Papers:

  • The objective of the present work was to investigate the volatile profile of multifloral honeys collected from different regions in Cyprus, and whether these specific volatiles could serve as true markers of geographical origin. An effort to highlight differences in the volatile amounts of Cypriot honeys according to altitude of harvesting was also carried out. Aqueous solutions of honeys were subjected to headspace solid phase microextraction coupled to gas chromatography/mass spectrometry analysis (HS-SPME/GC-MS). Results showed that 25 volatile compounds of different classes were identified in all samples by 100% frequency rate. Application of multivariate analysis of variance (MANOVA) showed that 3 volatiles [1-(2-furanyl-ethanone), cis-linalool oxide, para-cymenene] recorded significant variations (p < 0.05) according to geographical origin. Discriminant function analysis (DFA) classified honeys according to geographical origin providing a total classification rate of 85% using the original and 70% the cross validation method based on the aforementioned volatiles. It is possible then for an analyst to characterize the geographical origin of honey, even in cases when multifloral honeys are subjected to research/analysis. Regarding the effect of altitude on Cypriot honey aroma, results showed that the lower the altitude of harvesting the richer the aroma of honeys.


    加载中


    [1] Manyi-Loh CE, Ndip RN, Clarke AM (2011) Volatile compounds in honey: A review on their involvement in aroma, botanical origin determination and potential biomedical activities. Int J Mol Sci 12: 9514–9532. doi: 10.3390/ijms12129514
    [2] Wu L, Dua B, Heyden YV, et al. (2017) Recent advancements in detecting sugar-based adulterants in honey–A challenge. TrAC Trends Anal Chem 86: 25–38.
    [3] Stanimirova I, Ustun B, Cajka T, et al. (2010) Tracing the geographical origin of honeys based on volatile compounds profiles assessment using pattern recognition techniques. Food Chem 118: 171–176. doi: 10.1016/j.foodchem.2009.04.079
    [4] Papotti G, Bertelli D, Plessi M (2012) Use of HS-SPME-GC-MS for the classification of Italian lemon, orange and citrus spp. honeys. Int J Food Sci Techno 47: 2352–2358. doi: 10.1111/j.1365-2621.2012.03109.x
    [5] Spanik I, Janacova A, Susterova Z, et al. (2013) Characterisation of VOC composition of Slovak monofloral honeys by GC×GC–TOF-MS. Chem Pap 67: 127–134.
    [6] Castro-Vazquez L, Leon-Ruiz V, Alanon M.E, et al. (2014) Floral origin markers for authenticating Lavandin honey (Lavandula angustifolia x latifolia). Discrimination from Lavender honey (Lavandula latifolia). Food Control 37: 362–370.
    [7] Karabagias IK, Badeka A, Kontakos S, et al. (2014) Characterization and classification of Thymus capitatus (L.) honey according to geographical origin based on volatile compounds, physicochemical parameters and chemometrics. Food Res Int 55: 363–372.
    [8] Escriche I, Sobrino-Gregorio L, Conchado A, et al. (2017) Volatile profile in the accurate labelling of monofloral honey. The case of lavender and thyme honey. Food Chem 226: 61–68.
    [9] Petretto GL, Urgeghe PP, Mascia I, et al. (2017) Stir bar sorptive extraction coupled with GC/MS applied to honey: optimization of method and comparative study with headspace extraction techniques. Eur Food Res Technol 243: 735–741. doi: 10.1007/s00217-016-2787-9
    [10] Czipa N, Alexa L, Phillips CJC, et al. (2018) Macro-element ratios provide improved identification of the botanical origin of mono-floral honeys. Eur Food Res Technol 244: 1439–1445. doi: 10.1007/s00217-018-3057-9
    [11] Karabagias IK, Louppis A, Kontakos S, et al. (2018) Characterization and botanical differentiation of monofloral and multifloral honeys produced in Cyprus, Greece and Egypt using physicochemical parameter analysis and mineral content, in conjunction with supervised statistical techniques. J Anal Meth Chem 2018: 7698251.
    [12] Cotte JF, Casabianca H, Lheritier J, et al. (2007) Study and validity of 13C stable carbon isotopic ratio analysis by mass spectrometry and 2H site-specific natural isotopic fractionation by nuclear magnetic resonance isotopic measurements to characterize and control the authenticity of honey. Anal Chim Acta 582: 125–136. doi: 10.1016/j.aca.2006.08.039
    [13] Ruckriemen J, Henle T (2018) Pilot study on the discrimination of commercial Leptospermum honeys from New Zealand and Australia by HPLC–MS/MS analysis. Eur Food Res Technol 244: 1203–1209. doi: 10.1007/s00217-018-3036-1
    [14] Pita-Calvo C, Vazquez M (2017) Differences between honeydew and blossom honeys: A review. Trends Food Sci Technol 59: 79–87. doi: 10.1016/j.tifs.2016.11.015
    [15] Zappi A, Melucci D, Scaramagli S, et al. (2018) (In Press) Botanical traceability of unifloral honeys by chemometrics based on head-space gas chromatography. Eur Food Res Technol 244: 2149–2157. doi: 10.1007/s00217-018-3123-3
    [16] Karabagias IK, Nikolaou C, Karabagias VK (2018) (In Press) Volatile fingerprints of common and rare honeys produced in Greece: In Search of PHVMs with implementation of the honey code. Eur Food Res Technol 245: 23–49.
    [17] Dekebo A, Kwon SY, Kim DH, et al. (2018) Volatiles analysis of honey by gas chromatography-mass spectrometry (GC-MS): Comparison of SPME volatiles extraction methods. J Apic 33: 117–128. doi: 10.17519/apiculture.2018.06.33.2.117
    [18] Warne RT (2014) A primer on multivariate analysis of variance (MANOVA) for behavioral scientists. Pract Assess Res Eval 19: 1–10.
    [19] Makowicz E, Kafarski P, Jasicka‑Misiak I (2018) (In Press) Chromatographic fingerprint of the volatile fraction of rare Hedera helix honey and biomarkers identification. Eur Food Res Technol 244: 2169–2179. doi: 10.1007/s00217-018-3127-z
  • Reader Comments
  • © 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3662) PDF downloads(670) Cited by(3)

Article outline

Figures and Tables

Figures(4)  /  Tables(4)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog