Dipartimento di Bioscienze e Territorio, Università degli Studi del Molise, Contrada Fonte Lappone, 86090, Pesche (Isernia), Italy.
Istituto di Chimica Biomolecolare del CNR, Comprensorio Olivetti, Edificio A, Via Campi Flegrei 34, 80078, Pozzuoli (Napoli), Italy.
Metabolomics. 2019 Jul 19;15(8):105. doi: 10.1007/s11306-019-1566-6.
In fruits and vegetables, comparative analysis of metabolic plant profiles has a high potential for quality control of active components. Onion (Allium cepa L.) is used fresh or stored as food, spice, and in traditional medicine. Its metabolic content, often with nutraceutical value, makes its level an important factor in agronomic production.
To describe for the first time the metabolome of "San Pietro" white onion (WP), and compare its chemical profile with the red onion var. Tropea (RT) and the yellow onion var. Montoro (CM). Furthermore, we also aim to obtain a multivariate model based on NMR fingerprints to discriminate the three Italian A. cepa L. cultivars.
For the chemical fingerprinting we used NMR-based metabolomics. We investigated the aqueous and chloroform extracts of fresh onion at harvesting time, and after 9-month storage. Principal component analysis (PCA), Partial least squares discriminant analysis (PLS-DA) and Orthogonal partial least squares (OPLS-DA) were used to build reliable models.
We obtained a clear discrimination of A. cepa L. varieties for the fresh and stored batches. The statistical model highlighted higher levels of fructo-oligosaccharides (FOS) in the fresh WP; RT showed a high content of glucose, citrate and amino acids, while CM had many sulfur components. In the stored samples (CMS, RTS), carbohydrates and sulfur components decreased, while in WPS the free monosaccharides concentration increased. Linoleic acid was overexpressed in the apolar extracts of CMF and WPF cultivars.
Metabolomics allows a reliable differentiation among onion varieties, and highlights the potential of fingerprinting for food authentication purposes.
在水果和蔬菜中,代谢植物图谱的比较分析在活性成分质量控制方面具有很大的潜力。洋葱(Allium cepa L.)既可以新鲜食用,也可以作为食物、香料和传统药物储存。其代谢物含量通常具有营养保健价值,因此其水平是农业生产的一个重要因素。
首次描述“圣彼得罗”白洋葱(WP)的代谢组,并将其化学特征与红洋葱品种“特罗佩亚”(RT)和黄洋葱品种“蒙托罗”(CM)进行比较。此外,我们还旨在获得基于 NMR 指纹图谱的多元模型,以区分这三种意大利洋葱品种。
对于化学指纹图谱,我们使用基于 NMR 的代谢组学。我们在收获时和 9 个月贮藏后研究了新鲜洋葱的水相和氯仿提取物。采用主成分分析(PCA)、偏最小二乘判别分析(PLS-DA)和正交偏最小二乘判别分析(OPLS-DA)构建可靠模型。
我们为新鲜和贮藏的批次获得了 A. cepa L.品种的清晰区分。统计模型突出了 WP 新鲜样品中果寡糖(FOS)含量较高;RT 表现出葡萄糖、柠檬酸和氨基酸含量高,而 CM 则具有许多硫成分。在贮藏样品(CMS、RTS)中,碳水化合物和硫成分减少,而 WPS 中游离单糖浓度增加。亚油酸在 CMF 和 WPF 品种的非极性提取物中过表达。
代谢组学可以可靠地区分洋葱品种,并突出了指纹图谱在食品鉴定方面的潜力。