Nutritional lipidomics for the characterization of lipids in food.

Q1 Agricultural and Biological Sciences Advances in Food and Nutrition Research Pub Date : 2023-01-01 DOI:10.1016/bs.afnr.2022.12.002
Carlos Calderón, Michael Lämmerhofer
{"title":"Nutritional lipidomics for the characterization of lipids in food.","authors":"Carlos Calderón,&nbsp;Michael Lämmerhofer","doi":"10.1016/bs.afnr.2022.12.002","DOIUrl":null,"url":null,"abstract":"<p><p>Lipids represent one out of three major macronutrient classes in the human diet. It is estimated to account for about 15-20% of the total dietary intake. Triacylglycerides comprise the majority of them, estimated 90-95%. Other lipid classes include free fatty acids, phospholipids, cholesterol, and plant sterols as minor components. Various methods are used for the characterization of nutritional lipids, however, lipidomics approaches become increasingly attractive for this purpose due to their wide coverage, comprehensiveness and holistic view on composition. In this chapter, analytical methodologies and workflows utilized for lipidomics profiling of food samples are outlined with focus on mass spectrometry-based assays. The chapter describes common lipid extraction protocols, the distinct instrumental mass-spectrometry based analytical platforms for data acquisition, chromatographic and ion-mobility spectrometry methods for lipid separation, briefly mentions alternative methods such as gas chromatography for fatty acid profiling and mass spectrometry imaging. Critical issues of important steps of lipidomics workflows such as structural annotation and identification, quantification and quality assurance are discussed as well. Applications reported over the period of the last 5years are summarized covering the discovery of new lipids in foodstuff, differential profiling approaches for comparing samples from different origin, species, varieties, cultivars and breeds, and for food processing quality control. Lipidomics as a powerful tool for personalized nutrition and nutritional intervention studies is briefly discussed as well. It is expected that this field is significantly growing in the near future and this chapter gives a short insight into the power of nutritional lipidomics approaches.</p>","PeriodicalId":35571,"journal":{"name":"Advances in Food and Nutrition Research","volume":"105 ","pages":"97-172"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Food and Nutrition Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/bs.afnr.2022.12.002","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

Lipids represent one out of three major macronutrient classes in the human diet. It is estimated to account for about 15-20% of the total dietary intake. Triacylglycerides comprise the majority of them, estimated 90-95%. Other lipid classes include free fatty acids, phospholipids, cholesterol, and plant sterols as minor components. Various methods are used for the characterization of nutritional lipids, however, lipidomics approaches become increasingly attractive for this purpose due to their wide coverage, comprehensiveness and holistic view on composition. In this chapter, analytical methodologies and workflows utilized for lipidomics profiling of food samples are outlined with focus on mass spectrometry-based assays. The chapter describes common lipid extraction protocols, the distinct instrumental mass-spectrometry based analytical platforms for data acquisition, chromatographic and ion-mobility spectrometry methods for lipid separation, briefly mentions alternative methods such as gas chromatography for fatty acid profiling and mass spectrometry imaging. Critical issues of important steps of lipidomics workflows such as structural annotation and identification, quantification and quality assurance are discussed as well. Applications reported over the period of the last 5years are summarized covering the discovery of new lipids in foodstuff, differential profiling approaches for comparing samples from different origin, species, varieties, cultivars and breeds, and for food processing quality control. Lipidomics as a powerful tool for personalized nutrition and nutritional intervention studies is briefly discussed as well. It is expected that this field is significantly growing in the near future and this chapter gives a short insight into the power of nutritional lipidomics approaches.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于表征食品中脂质的营养脂组学。
在人类饮食中,脂类是三种主要常量营养素中的一种。据估计约占总膳食摄入量的15-20%。甘油三酯占大多数,估计为90-95%。其他脂类包括游离脂肪酸、磷脂、胆固醇和作为次要成分的植物固醇。各种各样的方法用于表征营养脂质,然而,脂质组学方法因其广泛的覆盖范围,全面性和对组成的整体看法而变得越来越有吸引力。在本章中,概述了用于食品样品脂质组学分析的分析方法和工作流程,重点是基于质谱的分析。本章描述了常见的脂质提取方案,基于数据采集的独特仪器质谱分析平台,用于脂质分离的色谱和离子迁移率光谱方法,简要提到了脂肪酸谱分析和质谱成像的气相色谱等替代方法。讨论了脂质组学工作流程中重要步骤的关键问题,如结构注释和鉴定、定量和质量保证。总结了过去5年的应用报告,包括食品中新脂类的发现,用于比较来自不同来源、物种、品种、栽培品种和品种的样品的差异分析方法,以及食品加工质量控制。并简要讨论了脂质组学作为个性化营养和营养干预研究的有力工具。预计这一领域在不久的将来会显著增长,本章将简要介绍营养脂质组学方法的力量。
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 去求助
来源期刊
Advances in Food and Nutrition Research
Advances in Food and Nutrition Research Agricultural and Biological Sciences-Food Science
CiteScore
8.50
自引率
0.00%
发文量
50
期刊最新文献
Bioinformatics and bioactive peptides from foods: Do they work together? Edible insects in food. Effect of novel and conventional food processing technologies on Bacillus cereus spores. Food off-odor generation, characterization and recent advances in novel mitigation strategies. Impact of thermal processing on dietary flavonoids.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1