Food and Nutraceutical Laboratory, Dietetics and Nutrition Technology Division, CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, Himachal Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh-201002, India.
Biotechnology Division, CSIR- Institute of Himalayan Bioresource Technology, Palampur, 176061, Himachal Pradesh, India.
Food Res Int. 2022 Jul;157:111486. doi: 10.1016/j.foodres.2022.111486. Epub 2022 Jun 7.
The current study focused on targeted and non-targeted metabolomics of Citrus fruit parts (exocarp, mesocarp, endocarp, and seeds) to gain a comprehensive metabolomic insight. Sections of the Citrus fruit were preliminarily examined for proximate compositions (moisture, ash, fibre, fat, and protein). Whereas ultrasonication-assisted solvent extraction revealed a higher phenolic and flavonoid content at 80% (v/v) ethanolic medium, with the highest amount in the exocarp. Using targeted metabolomics, hesperidin (3307.25 mg/100 g), naringin (4803.73 mg/100 g) were detected in C. medica and C. maxima at greater levels, respectively. Further quantitative analysis revealed the presence of phenolic acids (gallic acid, trans-ferulic acid, p-coumaric acid, trans-cinnamic acid), and polymethoxyflavones (nobiletin, and tangeretin) and detected in the order of exocarp > mesocarp > endocarp > seeds. Using an untargeted metabolomics approach, metabolite discriminations among Citrus fruit sections were illustrated by Venn-diagram, heatmap, PCA, o-PLSDA, correlation matrices, and S-plot. UHPLC-QTOF-IMS revealed 48 metabolites including phenolics, vitamins, and amino acids. Furthermore, the METLIN database leads to the identification of 202 unknown metabolites. The metabolite biosynthesis and corresponding metabolite presence in Citrus fruit sections were confirmed using pathway enrichment and mass fragmentation analysis. Finally, potential biological activities were determined using in silico PASS software approach, and free radical scavenging potential was confirmed using in vitro assays for future preventive and therapeutic applications of the identified metabolites.
本研究聚焦于柑橘类水果不同部位(外果皮、中果皮、内果皮和种子)的靶向和非靶向代谢组学,以全面深入地了解其代谢组学特征。首先对柑橘类水果的不同部位进行了近红外分析(水分、灰分、纤维、脂肪和蛋白质)。超声辅助溶剂萃取结果显示,80%(v/v)乙醇介质中具有更高的酚类和类黄酮含量,其中外果皮中的含量最高。采用靶向代谢组学方法,在 C. medica 和 C. maxima 中分别检测到较高水平的柚皮苷(3307.25 mg/100 g)和柚皮苷(4803.73 mg/100 g)。进一步的定量分析显示,存在酚酸(没食子酸、反式阿魏酸、对香豆酸、反式肉桂酸)和多甲氧基黄酮(诺必灵、橘红素),其含量顺序为外果皮>中果皮>内果皮>种子。采用非靶向代谢组学方法,通过 Venn 图、热图、PCA、o-PLSDA、相关矩阵和 S-plot 展示了柑橘类水果不同部位之间的代谢物差异。UHPLC-QTOF-IMS 共鉴定出 48 种代谢物,包括酚类、维生素和氨基酸。此外,METLIN 数据库鉴定出 202 种未知代谢物。利用代谢物生物合成途径和相应的代谢物丰度分析,对柑橘类水果不同部位的代谢物进行了分析。最后,通过计算机虚拟筛选(PASS)软件预测其潜在的生物活性,并通过体外自由基清除实验验证了其抗氧化能力,为未来对鉴定出的代谢物的预防和治疗应用提供了依据。