Karabagias Ioannis K, Louppis Artemis P, Karabournioti Sofia, Kontakos Stavros, Papastephanou Chara, Kontominas Michael G
Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, Ioannina 45110, Greece.
cp Foodlab Ltd., Polifonti 25, 2047 Strovolos, Nicosia, Cyprus.
Food Chem. 2017 Feb 15;217:445-455. doi: 10.1016/j.foodchem.2016.08.124. Epub 2016 Aug 31.
The objective of the present study was: i) to characterize Mediterranean citrus honeys based on conventional physicochemical parameter values, volatile compounds, and mineral content ii) to investigate the potential of above parameters to differentiate citrus honeys according to geographical origin using chemometrics. Thus, 37 citrus honey samples were collected during harvesting periods 2013 and 2014 from Greece, Egypt, Morocco, and Spain. Conventional physicochemical and CIELAB colour parameters were determined using official methods of analysis and the Commission Internationale de l' Eclairage recommendations, respectively. Minerals were determined using ICP-OES and volatiles using SPME-GC/MS. Results showed that honey samples analyzed, met the standard quality criteria set by the EU and were successfully classified according to geographical origin. Correct classification rates were 97.3% using 8 physicochemical parameter values, 86.5% using 15 volatile compound data and 83.8% using 13 minerals.
i）基于常规理化参数值、挥发性化合物和矿物质含量对地中海柑橘蜂蜜进行表征；ii）使用化学计量学研究上述参数根据地理来源区分柑橘蜂蜜的潜力。因此，在2013年和2014年收获期从希腊、埃及、摩洛哥和西班牙收集了37个柑橘蜂蜜样品。分别使用官方分析方法和国际照明委员会的建议测定常规理化参数和CIELAB颜色参数。使用电感耦合等离子体发射光谱法测定矿物质，使用固相微萃取-气相色谱/质谱法测定挥发性化合物。结果表明，所分析的蜂蜜样品符合欧盟设定的标准质量标准，并根据地理来源成功分类。使用8个理化参数值的正确分类率为97.3%，使用15个挥发性化合物数据的正确分类率为86.5%，使用13种矿物质的正确分类率为83.8%。
