Đurđa Krstić, Tomislav Tosti, Saša Đurović, Milica Fotirić Akšić, Boban Đorđević, Dušanka Milojković-Opsenica, Filip Andrić, Jelena Trifković
{"title":"初级代谢物色谱分析作为浆果种子化学分类的工具。","authors":"Đurđa Krstić, Tomislav Tosti, Saša Đurović, Milica Fotirić Akšić, Boban Đorđević, Dušanka Milojković-Opsenica, Filip Andrić, Jelena Trifković","doi":"10.17113/ftb.60.03.22.7505","DOIUrl":null,"url":null,"abstract":"<p><strong>Research background: </strong>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.</p><p><strong>Experimental approach: </strong>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).</p><p><strong>Results and conclusions: </strong>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.</p><p><strong>Novelty and scientific contribution: </strong>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.</p>","PeriodicalId":12400,"journal":{"name":"Food Technology and Biotechnology","volume":"60 3","pages":"406-417"},"PeriodicalIF":2.3000,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590267/pdf/","citationCount":"2","resultStr":"{\"title\":\"Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits.\",\"authors\":\"Đurđa Krstić, Tomislav Tosti, Saša Đurović, Milica Fotirić Akšić, Boban Đorđević, Dušanka Milojković-Opsenica, Filip Andrić, Jelena Trifković\",\"doi\":\"10.17113/ftb.60.03.22.7505\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Research background: </strong>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.</p><p><strong>Experimental approach: </strong>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).</p><p><strong>Results and conclusions: </strong>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.</p><p><strong>Novelty and scientific contribution: </strong>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.</p>\",\"PeriodicalId\":12400,\"journal\":{\"name\":\"Food Technology and Biotechnology\",\"volume\":\"60 3\",\"pages\":\"406-417\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2022-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9590267/pdf/\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Technology and Biotechnology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.17113/ftb.60.03.22.7505\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Technology and Biotechnology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.17113/ftb.60.03.22.7505","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
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.
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.