Mannino Giuseppe, Kunz Ronja, Maffei Massimo E
Department of Life Sciences and Systems Biology, University of Turin, Via Quarello 15/A, 10135 Turin, Italy.
Department of Chemistry, University of Cologne, Zülpicher Straße 47, D-50939 Köln, Germany.
Antioxidants (Basel). 2023 May 21;12(5):1135. doi: 10.3390/antiox12051135.
The genus is known for the two species (CA) and (CC), which are used to prepare the beverage coffee. Proper identification of green beans of coffee varieties is based on phenotypic and phytochemical/molecular characteristics. In this work, a combination of chemical (UV/Vis, HPLC-DAD-MS/MS, GC-MS, and GC-FID) and molecular (PCR-RFLP) fingerprinting was used to discriminate commercial green coffee accessions from different geographical origin. The highest content of polyphenols and flavonoids was always found in CC accessions, whereas CA showed lower values. ABTS and FRAP assays showed a significant correlation between phenolic content and antioxidant activity in most CC accessions. We identified 32 different compounds, including 28 flavonoids and four N-containing compounds. The highest contents of caffeine and melatonin were detected in CC accessions, whereas the highest levels of quercetin and kaempferol derivatives were found in CA accessions. Fatty acids of CC accessions were characterized by low levels of linoleic and octadecenoic acid and high amounts of elaidic acid and myristic acid. Discrimination of species according to their geographical origin was achieved using high-throughput data analysis, combining all measured parameters. Lastly, PCR-RFLP analysis was instrumental for the identification of recognition markers for the majority of accessions. Using the restriction enzyme on the region, we clearly discriminated from , whereas the cleavage performed by the restriction enzymes and on the region produced specific discrimination patterns useful for the correct identification of the different coffee accessions. This work extends our previous studies and provides new information on the complete flavonoid profile, combining high-throughput data with DNA fingerprinting to assess the geographical discrimination of green coffee.
该属以两种用于制备咖啡饮品的物种(CA)和(CC)而闻名。咖啡品种生豆的准确鉴定基于表型以及植物化学/分子特征。在这项研究中,结合化学(紫外/可见光谱、高效液相色谱 - 二极管阵列 - 串联质谱、气相色谱 - 质谱联用以及气相色谱 - 火焰离子化检测)和分子(聚合酶链反应 - 限制性片段长度多态性)指纹图谱技术来鉴别不同地理来源的商业生咖啡品种。在CC品种中总能发现最高含量的多酚和黄酮类化合物,而CA品种的含量较低。ABTS和FRAP分析表明,在大多数CC品种中,酚类含量与抗氧化活性之间存在显著相关性。我们鉴定出32种不同的化合物,包括28种黄酮类化合物和4种含氮化合物。在CC品种中检测到最高含量的咖啡因和褪黑素;而在CA品种中发现槲皮素和山奈酚衍生物的含量最高。CC品种的脂肪酸特征为亚油酸和十八碳烯酸含量低,反油酸和肉豆蔻酸含量高。通过高通量数据分析,结合所有测量参数,实现了根据地理来源对品种的区分。最后,聚合酶链反应 - 限制性片段长度多态性分析有助于鉴定大多数品种的识别标记。使用限制性内切酶对区域进行切割,我们能够清晰地区分和,而限制性内切酶和对区域进行的切割产生了特定的区分模式,有助于正确鉴定不同的咖啡品种。这项研究扩展了我们之前的研究,并结合高通量数据与DNA指纹图谱技术,提供了关于完整黄酮类化合物谱的新信息,以评估生咖啡的地理区分。