初级代谢物色谱分析作为浆果种子化学分类的工具。

IF 2.3 4区 农林科学 Q3 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Food Technology and Biotechnology Pub Date : 2022-09-01 DOI:10.17113/ftb.60.03.22.7505
Đurđa Krstić, Tomislav Tosti, Saša Đurović, Milica Fotirić Akšić, Boban Đorđević, Dušanka Milojković-Opsenica, Filip Andrić, Jelena Trifković
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引用次数: 2

摘要

研究背景:考虑到食用已被证实有益健康的浆果的重要性,以及特定植物和地理来源产品的质量控制困难,基于先进的数据分析(模式识别、分类),开发了一种指纹方法,以将所选品种的营养成分变异与初级代谢物谱联系起来。实验方法:四十五样本真正的浆果的水果品种(草莓,覆盆子,黑莓,黑醋栗,蓝莓、醋栗、北美沙果,海角醋栗和枸杞浆果)是根据特征色谱的主要代谢物(糖类、脂类和脂肪酸)通过三个色谱技术(高性能薄层色谱法、气相色谱与质谱,和高性能阴离子交换色谱与脉冲安培检测)。结果和结论:综合分析可以监测和鉴定属于极性脂质的代谢物,单、二、三酰基甘油,游离脂肪酸,游离甾醇,甾醇酯,单糖到七糖和糖醇。浆果种子的化学指纹图谱显示,各果实种类的初级代谢物具有一致性,但因植物来源的不同而存在差异。所有三种色谱方法都提供了一种判别性、信息性和预测性的代谢组学方法,这被证明对化学分类是有用的。新颖性和科学贡献:描述了一种从天然产物的初级代谢物中鉴定生物活性化合物的新方法。提出的非靶向代谢物分析方法可以在未来作为一种常规方法用于追踪新的生物活性化合物。本研究获得的代谢物组成知识可以更好地评估浆果品种和品种之间的基因型和表型差异,并有助于制定新的育种计划。
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Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits.

Research background: Considering the importance of consumption of berry fruits with proven health-beneficial properties and difficulties in quality control of products of specific botanical and geographic origin, a fingerprint method was developed, based on advanced data analysis (pattern recognition, classification), in order to relate the variability of nutrients in the selected cultivars to primary metabolite profile.

Experimental approach: Forty-five samples of genuine berry fruit cultivars (strawberry, raspberry, blackberry, black currant, blueberry, gooseberry, chokeberry, cape gooseberry and goji berry) were characterized according to chromatographic profiles of primary metabolites (sugars, lipids and fatty acids) obtained by three chromatographic techniques (high-performance thin-layer chromatography, gas chromatography coupled to mass spectrometry, and high-performance anion-exchange chromatography with pulsed amperometric detection).

Results and conclusions: Comprehensive analysis allowed monitoring and identification of metabolites belonging to polar lipids, mono-, di- and triacylglycerols, free fatty acids, free sterols, sterol esters, mono- to heptasaccharides and sugar alcohols. Chemical fingerprint of berry seeds showed the uniformity of primary metabolites within each fruit species, but revealed differences depending on the botanical origin. All three chromatographic methods provided a discriminative, informative and predictive metabolomics methodology, which proved to be useful for chemotaxonomic classification.

Novelty and scientific contribution: A novel methodology for the identification of bioactive compounds from primary metabolites of natural products was described. The proposed untargeted metabolite profiling approach could be used in the future as a routine method for tracing of novel bioactive compounds. The knowledge of metabolite composition obtained in this study can provide a better assessment of genotypic and phenotypic differences between berry fruit species and varieties, and could contribute to the development of new breeding programs.

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来源期刊
Food Technology and Biotechnology
Food Technology and Biotechnology 工程技术-生物工程与应用微生物
CiteScore
3.70
自引率
0.00%
发文量
33
审稿时长
12 months
期刊介绍: Food Technology and Biotechnology (FTB) is a diamond open access, peer-reviewed international quarterly scientific journal that publishes papers covering a wide range of topics, including molecular biology, genetic engineering, biochemistry, microbiology, biochemical engineering and biotechnological processing, food science, analysis of food ingredients and final products, food processing and technology, oenology and waste treatment. The Journal is published by the University of Zagreb, Faculty of Food Technology and Biotechnology, Croatia. It is an official journal of Croatian Society of Biotechnology and Slovenian Microbiological Society, financed by the Croatian Ministry of Science and Education, and supported by the Croatian Academy of Sciences and Arts.
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