Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits
Аутори
Krstić, ĐurđaTosti, Tomislav
Đurović, Saša
Fotirić Akšić, Milica
Đorđević, Boban
Milojković-Opsenica, Dušanka
Andrić, Filip
Trifković, Jelena
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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. Comprehen...sive 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.
Извор:
Food Technology and Biotechnology, 2022, 60, 3, 406-417Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200168 (Универзитет у Београду, Хемијски факултет) (RS-MESTD-inst-2020-200168)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200116 (Универзитет у Београду, Пољопривредни факултет) (RS-MESTD-inst-2020-200116)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200051 (Институт за општу и физичку хемију, Београд) (RS-MESTD-inst-2020-200051)
Институција/група
Poljoprivredni fakultetTY - JOUR AU - Krstić, Đurđa AU - Tosti, Tomislav AU - Đurović, Saša AU - Fotirić Akšić, Milica AU - Đorđević, Boban AU - Milojković-Opsenica, Dušanka AU - Andrić, Filip AU - Trifković, Jelena PY - 2022 UR - https://hrcak.srce.hr/clanak/412101 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/6203 AB - 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. T2 - Food Technology and Biotechnology T2 - Food Technology and Biotechnology T1 - Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits EP - 417 IS - 3 SP - 406 VL - 60 DO - 10.17113/ftb.60.03.22.7505 ER -
@article{ author = "Krstić, Đurđa and Tosti, Tomislav and Đurović, Saša and Fotirić Akšić, Milica and Đorđević, Boban and Milojković-Opsenica, Dušanka and Andrić, Filip and Trifković, Jelena", year = "2022", abstract = "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.", journal = "Food Technology and Biotechnology, Food Technology and Biotechnology", title = "Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits", pages = "417-406", number = "3", volume = "60", doi = "10.17113/ftb.60.03.22.7505" }
Krstić, Đ., Tosti, T., Đurović, S., Fotirić Akšić, M., Đorđević, B., Milojković-Opsenica, D., Andrić, F.,& Trifković, J.. (2022). Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits. in Food Technology and Biotechnology, 60(3), 406-417. https://doi.org/10.17113/ftb.60.03.22.7505
Krstić Đ, Tosti T, Đurović S, Fotirić Akšić M, Đorđević B, Milojković-Opsenica D, Andrić F, Trifković J. Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits. in Food Technology and Biotechnology. 2022;60(3):406-417. doi:10.17113/ftb.60.03.22.7505 .
Krstić, Đurđa, Tosti, Tomislav, Đurović, Saša, Fotirić Akšić, Milica, Đorđević, Boban, Milojković-Opsenica, Dušanka, Andrić, Filip, Trifković, Jelena, "Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits" in Food Technology and Biotechnology, 60, no. 3 (2022):406-417, https://doi.org/10.17113/ftb.60.03.22.7505 . .