HPTLC-based metabolomics approach for the detection of chokeberry (Aronia melanocarpa (Michx.) Elliott) adulteration
Samo za registrovane korisnike
2023
Autori
Ivanović, StefanGođevac, Dejan
Ristivojević, Petar
Zdunić, Gordana
Stojanović, Danilo
Šavikin, Katarina
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Introduction: Chokeberry is a plant belonging to the family Rosaceae which has a long history of edible and medicinal use. The aims of this study are: i) to investigate of HPTLC profile of the berry samples using HPTLC technique based metabolomics approach, ii) to determine the botanical origin of investigated chokeberry adulterations iii) to identify the most important botanical markers responsible for classification. Methods: A simple, rapid, and high-throughput planar chromatography (HPTLC) method was applied in combination with multivariate techniques for differentiating chokeberry samples and identification of the main metabolites of chokeberry and four common adulterants. Images of HPTLC chromatograms obtained using two different detections i.e. visible light and derivatization with natural products reagent were used as a dataset for multivariate analysis. Results: Principal component analysis and Orthogonal Partial Least Squares Discriminant Analysis confirmed the discrimination... of five botanically different samples and recognized their main markers such as responsible for differences between chokeberry and four common adulterants. Conclusion: The obtained results showed that the HPTLC-based metabolomics approach can be a very reliable technique for the detection of chokeberry adulteration.
Ključne reči:
Metabolomics / Adulteration / Chokeberry / High-performance thin-layer chromatographyIzvor:
Journal of Herbal Medicine, 2023, 37Izdavač:
- Elsevier GmbH
Finansiranje / projekti:
- The Organization for the Prohibition of Chemical Weapons, grant No. L/ICA/ICB/218811/19.
- Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200168 (Univerzitet u Beogradu, Hemijski fakultet) (RS-MESTD-inst-2020-200168)
DOI: 10.1016/j.hermed.2022.100618
ISSN: 2210-8033
WoS: 000903702300002
Scopus: 2-s2.0-85144616038
Institucija/grupa
PharmacyTY - JOUR AU - Ivanović, Stefan AU - Gođevac, Dejan AU - Ristivojević, Petar AU - Zdunić, Gordana AU - Stojanović, Danilo AU - Šavikin, Katarina PY - 2023 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/4366 AB - Introduction: Chokeberry is a plant belonging to the family Rosaceae which has a long history of edible and medicinal use. The aims of this study are: i) to investigate of HPTLC profile of the berry samples using HPTLC technique based metabolomics approach, ii) to determine the botanical origin of investigated chokeberry adulterations iii) to identify the most important botanical markers responsible for classification. Methods: A simple, rapid, and high-throughput planar chromatography (HPTLC) method was applied in combination with multivariate techniques for differentiating chokeberry samples and identification of the main metabolites of chokeberry and four common adulterants. Images of HPTLC chromatograms obtained using two different detections i.e. visible light and derivatization with natural products reagent were used as a dataset for multivariate analysis. Results: Principal component analysis and Orthogonal Partial Least Squares Discriminant Analysis confirmed the discrimination of five botanically different samples and recognized their main markers such as responsible for differences between chokeberry and four common adulterants. Conclusion: The obtained results showed that the HPTLC-based metabolomics approach can be a very reliable technique for the detection of chokeberry adulteration. PB - Elsevier GmbH T2 - Journal of Herbal Medicine T1 - HPTLC-based metabolomics approach for the detection of chokeberry (Aronia melanocarpa (Michx.) Elliott) adulteration VL - 37 DO - 10.1016/j.hermed.2022.100618 ER -
@article{ author = "Ivanović, Stefan and Gođevac, Dejan and Ristivojević, Petar and Zdunić, Gordana and Stojanović, Danilo and Šavikin, Katarina", year = "2023", abstract = "Introduction: Chokeberry is a plant belonging to the family Rosaceae which has a long history of edible and medicinal use. The aims of this study are: i) to investigate of HPTLC profile of the berry samples using HPTLC technique based metabolomics approach, ii) to determine the botanical origin of investigated chokeberry adulterations iii) to identify the most important botanical markers responsible for classification. Methods: A simple, rapid, and high-throughput planar chromatography (HPTLC) method was applied in combination with multivariate techniques for differentiating chokeberry samples and identification of the main metabolites of chokeberry and four common adulterants. Images of HPTLC chromatograms obtained using two different detections i.e. visible light and derivatization with natural products reagent were used as a dataset for multivariate analysis. Results: Principal component analysis and Orthogonal Partial Least Squares Discriminant Analysis confirmed the discrimination of five botanically different samples and recognized their main markers such as responsible for differences between chokeberry and four common adulterants. Conclusion: The obtained results showed that the HPTLC-based metabolomics approach can be a very reliable technique for the detection of chokeberry adulteration.", publisher = "Elsevier GmbH", journal = "Journal of Herbal Medicine", title = "HPTLC-based metabolomics approach for the detection of chokeberry (Aronia melanocarpa (Michx.) Elliott) adulteration", volume = "37", doi = "10.1016/j.hermed.2022.100618" }
Ivanović, S., Gođevac, D., Ristivojević, P., Zdunić, G., Stojanović, D.,& Šavikin, K.. (2023). HPTLC-based metabolomics approach for the detection of chokeberry (Aronia melanocarpa (Michx.) Elliott) adulteration. in Journal of Herbal Medicine Elsevier GmbH., 37. https://doi.org/10.1016/j.hermed.2022.100618
Ivanović S, Gođevac D, Ristivojević P, Zdunić G, Stojanović D, Šavikin K. HPTLC-based metabolomics approach for the detection of chokeberry (Aronia melanocarpa (Michx.) Elliott) adulteration. in Journal of Herbal Medicine. 2023;37. doi:10.1016/j.hermed.2022.100618 .
Ivanović, Stefan, Gođevac, Dejan, Ristivojević, Petar, Zdunić, Gordana, Stojanović, Danilo, Šavikin, Katarina, "HPTLC-based metabolomics approach for the detection of chokeberry (Aronia melanocarpa (Michx.) Elliott) adulteration" in Journal of Herbal Medicine, 37 (2023), https://doi.org/10.1016/j.hermed.2022.100618 . .