College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Environment Correlative Food Science (Huazhong Agricultural University), Ministry of Education, Wuhan 430070, China.
College of Food Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Dehong Tropical Agriculture Research Institute of Yunnan, Rui 678600, Yunnan, China.
Food Res Int. 2023 May;167:112629. doi: 10.1016/j.foodres.2023.112629. Epub 2023 Mar 5.
The unique flavor and aroma characteristics of huajiao were not only influenced by cultivated varieties, maturity, but also geographic origin. This study compared the terpenoids of 48 species of huajiao using headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) and electronic nose (E-nose). The E-nose results showed differences in huajiao from different origins and varieties, and from the PCA loading plots it was possible to conclude that some samples contained higher levels of hydrocarbons and alcohols, providing a preliminary discrimination between different species of huajiao. Further, GC-MS results showed that six key biomarkers could be used to distinguish red and green huajiao. Red huajiao in Central China contained more terpenoids than in other regions. Nine key biomarkers could be used to distinguish red huajiao from different regions. Oil huajiao exhibited a more distinct aroma in red huajiao. Green huajiao from Yunnan Province had more terpenoids than that from other provinces. The terpenoids content of Yunnan zhuyeqing was higher than other green huajiao. Heatmap analysis helped to find the most contributors of huajiao, which could be used as key terpenoids to differentiate huajiao of different regions or cultivars. Finally, through the correlation analysis of E-nose and GC-MS, it was found that the E-nose sensors could distinguish different huajiao by specific responses to some terpenoids in the samples.
花椒的独特风味和香气特征不仅受栽培品种、成熟度的影响,还受地理起源的影响。本研究采用顶空固相微萃取-气相色谱-质谱联用(HS-SPME-GC-MS)和电子鼻(E-nose)比较了 48 种花椒的萜类化合物。E-nose 的结果表明,不同产地和品种的花椒存在差异,从 PCA 加载图可以得出结论,一些样品含有较高水平的碳氢化合物和醇类,初步区分了不同种类的花椒。此外,GC-MS 结果表明,可以使用 6 种关键生物标志物来区分红花椒和绿花椒。华中地区的红花椒比其他地区含有更多的萜类化合物。可以使用 9 种关键生物标志物来区分来自不同地区的红花椒。油花椒在红花椒中表现出更独特的香气。云南产的绿花椒比其他省份的含量更高。云南竹叶青的萜类化合物含量高于其他绿花椒。热图分析有助于找到花椒的主要贡献者,可以作为区分不同地区或品种花椒的关键萜类化合物。最后,通过 E-nose 和 GC-MS 的相关性分析,发现 E-nose 传感器可以通过对样品中某些萜类化合物的特定反应来区分不同的花椒。