Đurović, Saša

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  • Đurović, Saša (1)
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Primary Metabolite Chromatographic Profiling as a Tool for Chemotaxonomic Classification of Seeds from Berry Fruits

Krstić, Đurđa; Tosti, Tomislav; Đurović, Saša; Fotirić Akšić, Milica; Đorđević, Boban; Milojković-Opsenica, Dušanka; Andrić, Filip; Trifković, Jelena

(2022)

TY  - 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 . .
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