State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; University of the Chinese Academy of Sciences, Beijing 100049, China; Yunnan Key Laboratory of Natural Medicinal Chemistry, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
State Key Laboratory of Phytochemistry and Plant Resources in West China, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China; Yunnan Key Laboratory of Natural Medicinal Chemistry, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China.
Food Res Int. 2020 Jun;132:109121. doi: 10.1016/j.foodres.2020.109121. Epub 2020 Feb 21.
H NMR detection combined with partial least squares discriminant analysis (PLS-DA) was used to establish models for distinguishing between Arabica coffee immature beans and mature beans. By screening Variable importance in projection (VIP) values of the discriminant model, sugars, caffeoylquinic acids (CQAs), caffeine, trigonelline and quinic acid were confirmed as maturity markers. Response surface method (RSM) was used to filter optimal condition for the simultaneous extraction of sugars, 5-caffeoylquinic acids (5-CQA), caffeine and trigonelline and the best condition obtained was: extraction time 120 min, extraction temperature 50 °C, methanol/water 0.20, solvent/solute 274.65. Under this condition, the content of maturity markers in eight different maturity coffee green beans and pulp were analyzed, and their possible biological functions as well as impact on cupping score were further discussed.
采用氢核磁共振波谱检测结合偏最小二乘判别分析(PLS-DA)建立了区分阿拉比卡咖啡生豆和熟豆的模型。通过对判别模型的变量投影重要性(VIP)值进行筛选,确定了糖、绿原酸(CQAs)、咖啡因、葫芦巴碱和奎宁酸为成熟度标志物。响应面法(RSM)用于筛选同时提取糖、5-咖啡酰奎宁酸(5-CQA)、咖啡因和葫芦巴碱的最佳条件,得到的最佳条件为:提取时间 120 分钟,提取温度 50°C,甲醇/水 0.20,溶剂/溶质 274.65。在该条件下,分析了 8 种不同成熟度的咖啡生豆和果肉中的成熟度标志物含量,并进一步探讨了其可能的生物学功能以及对杯测评分的影响。