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松露香气的物种和地理变异性。

Species and geographic variability in truffle aromas.

作者信息

Strojnik Lidija, Grebenc Tine, Ogrinc Nives

机构信息

Department of Environmental Sciences, Jožef Stefan Institute, 1000, Ljubljana, Slovenia; Jožef Stefan International Postgraduate School, 1000, Ljubljana, Slovenia.

Department of Forest Physiology and Genetics, Slovenian Forestry Institute, 1000, Ljubljana, Slovenia.

出版信息

Food Chem Toxicol. 2020 Aug;142:111434. doi: 10.1016/j.fct.2020.111434. Epub 2020 May 19.

Abstract

The gastronomic relevance and price of truffles are related mainly to its unique aroma. In this study, we explore the impact that different volatile compounds have on the aroma quality of fresh truffles using gas chromatography-mass spectrometry (GC-MS). Four hundred sixty fresh ascocarps of nine truffle species (Tuber aestivum, Tuber magnatum, Tuber melanosporum, Tuber mesentericum, Tuber brumale, Tuber excavatum, Tuber rufum, Tuber indicum and Tuber macrosporum) harvested in 2018/19 and 2019/2020 from 11 different countries (Slovenia, Croatia, Bosnia in Herzegovina, Macedonia, Italy, Spain, France, United Kingdom, Germany, Poland and China) were collected. Our investigation included the classification of species based on their aroma profile, a study of the differences in the volatile organic composition of truffle species over a geographical area, and, in more detail, a study of T. aestivum from four natural truffle growing sites in Slovenia. Our models can distinguish between groups, with small classification error. These models could form the basis of a predictive framework to detect fraud concerning truffle products and to determine the influence of different growing parameters on the aroma profile of truffles.

摘要

松露的美食价值和价格主要与其独特的香气有关。在本研究中,我们使用气相色谱-质谱联用仪(GC-MS)探究了不同挥发性化合物对新鲜松露香气品质的影响。采集了2018/19年和2019/2020年从11个不同国家(斯洛文尼亚、克罗地亚、波斯尼亚和黑塞哥维那、马其顿、意大利、西班牙、法国、英国、德国、波兰和中国)收获的9种松露(夏块菌、白松露、黑孢块菌、肠系膜块菌、冬块菌、凹陷块菌、红块菌、印度块菌和大孢块菌)的460个新鲜子囊果。我们的研究包括根据香气特征对松露种类进行分类,研究不同地理区域松露种类挥发性有机成分的差异,更详细地研究来自斯洛文尼亚四个天然松露生长地的夏块菌。我们的模型能够区分不同组,分类误差较小。这些模型可以构成一个预测框架的基础,以检测松露产品的欺诈行为,并确定不同生长参数对松露香气特征的影响。

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