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印度尼西亚阿拉比卡咖啡品种绿豆的代谢物谱

Metabolite Profiles of the Green Beans of Indonesian Arabica Coffee Varieties.

作者信息

Happyana Nizar, Pratiwi Amelinda, Hakim Euis Holisotan

机构信息

Organic Chemistry Division, Faculty of Mathematics and Natural Sciences, Bandung Institute of Technology, Bandung, West Java, Indonesia.

Department of Chemistry Education, Indonesia University of Education, Bandung, West Java, Indonesia.

出版信息

Int J Food Sci. 2021 Nov 23;2021:5782578. doi: 10.1155/2021/5782578. eCollection 2021.

Abstract

The green beans of 3 Indonesian arabica coffee varieties, namely, ateng, buhun, and sigararutang, were analyzed with H NMR-based metabolomics coupled with alpha-glucosidase inhibitory activity assay. These coffees were cultivated in the same geographical conditions. The PLSDA model successfully classified the green coffee beans based on their varieties. To reveal the characteristic metabolites for each coffee variety, S-plot of two-class OPLSDA models was generated and analyzed. Ateng coffee was characterized with trigonelline, sucrose, 5-CQA, and acetic acid. The characteristic metabolites of buhun coffee were citric acid and malic acid. Meanwhile, the most discriminant compound of sigararutang coffee was quinic acid. HCA analysis revealed the lineage relationship of the 3 coffee varieties. Ateng coffee had closer lineage relationship to sigararutang compared to the buhun coffee. Alpha-glucosidase inhibitory activity of the coffee samples did not differ widely. IC values of alpha-glucosidase inhibitory activity of ateng, sigararutang, and buhun coffees were 3.01 ± 0.16, 3.14 ± 0.20, and 5.05 ± 0.28 mg/mL, respectively. Although grown in the same geographical conditions, our results revealed that each coffee variety possessed a unique metabolome clarifying the diversity of Indonesian arabica coffees. This study verified that H NMR-based metabolomics is an excellence method for discovering the lineage relationship in the samples with different varieties or cultivars.

摘要

对3个印度尼西亚阿拉比卡咖啡品种(即阿滕、布洪和西加拉鲁唐)的生豆进行了基于核磁共振氢谱的代谢组学分析,并结合α-葡萄糖苷酶抑制活性测定。这些咖啡是在相同的地理条件下种植的。偏最小二乘判别分析(PLSDA)模型成功地根据品种对生咖啡豆进行了分类。为了揭示每个咖啡品种的特征代谢物,生成并分析了两类正交偏最小二乘判别分析(OPLSDA)模型的S-图。阿滕咖啡的特征代谢物是葫芦巴碱、蔗糖、5-咖啡酰奎宁酸和乙酸。布洪咖啡的特征代谢物是柠檬酸和苹果酸。同时,西加拉鲁唐咖啡最具判别性的化合物是奎尼酸。聚类分析(HCA)揭示了这3个咖啡品种的谱系关系。与布洪咖啡相比,阿滕咖啡与西加拉鲁唐的谱系关系更近。咖啡样品的α-葡萄糖苷酶抑制活性差异不大。阿滕、西加拉鲁唐和布洪咖啡的α-葡萄糖苷酶抑制活性的半数抑制浓度(IC)值分别为3.01±0.16、3.14±0.20和5.05±0.28mg/mL。尽管生长在相同的地理条件下,但我们的结果表明,每个咖啡品种都具有独特的代谢组,这阐明了印度尼西亚阿拉比卡咖啡的多样性。本研究证实,基于核磁共振氢谱的代谢组学是发现不同品种或栽培品种样品中谱系关系的一种优秀方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbcb/8632381/56bb64a4b549/IJFS2021-5782578.001.jpg

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本文引用的文献

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