A comparative metabolomic investigation in fruit sections of Citrus medica L. and Citrus maxima L. detecting potential bioactive metabolites using UHPLC-QTOF-IMS.

IF 8
Vikas Dadwal, Robin Joshi, Mahesh Gupta
{"title":"A comparative metabolomic investigation in fruit sections of Citrus medica L. and Citrus maxima L. detecting potential bioactive metabolites using UHPLC-QTOF-IMS.","authors":"Vikas Dadwal,&nbsp;Robin Joshi,&nbsp;Mahesh Gupta","doi":"10.1016/j.foodres.2022.111486","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":94010,"journal":{"name":"Food research international (Ottawa, Ont.)","volume":" ","pages":"111486"},"PeriodicalIF":8.0000,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food research international (Ottawa, Ont.)","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.foodres.2022.111486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2022/6/7 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

Abstract

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.

利用高效液相色谱- qtof - ims检测柑橘果实中潜在的生物活性代谢物。
目前的研究重点是柑橘果实部分(外果皮、中果皮、内果皮和种子)的靶向代谢组学和非靶向代谢组学,以获得全面的代谢组学见解。对柑橘果实的切片进行了初步检查,以确定其近似成分(水分、灰分、纤维、脂肪和蛋白质)。超声辅助溶剂提取在80% (v/v)乙醇条件下,黄酮类化合物和酚类化合物含量较高,其中外果皮含量最高。利用目标代谢组学方法,在药材中分别检测到较高水平的橙皮苷(3307.25 mg/100 g)和柚皮苷(4803.73 mg/100 g)。进一步定量分析发现,果皮中含有多酚酸(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(褐皮素、橘皮素),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,利用venn图、热图、PCA、o-PLSDA、相关矩阵和s图来说明柑橘果实各部分代谢物的差异。UHPLC-QTOF-IMS发现48种代谢物,包括酚类物质、维生素和氨基酸。此外,METLIN数据库还鉴定出202种未知代谢物。通过途径富集和质量碎片化分析,证实了柑橘果实中代谢物的生物合成和相应代谢物的存在。最后,使用硅通软件方法确定潜在的生物活性,并使用体外测定法确认自由基清除潜力,以用于鉴定的代谢物的未来预防和治疗应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书