TY  - JOUR
AU  - Ivanović, Stefan
AU  - Gođevac, Dejan
AU  - Ristivojević, Petar
AU  - Zdunić, Gordana
AU  - Stojanović, Danilo
AU  - Šavikin, Katarina
PY  - 2023
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/5648
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
SP  - 100618
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",
pages = "100618",
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, 100618.
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;37:100618.
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):100618,
https://doi.org/10.1016/j.hermed.2022.100618 . .

TY  - CONF
AU  - Ivanović, Stefan
AU  - Ristivojević, Petar
AU  - Zdunić, Gordana
AU  - Stojanović, Danilo
AU  - Šavikin, Katarina
AU  - Gođevac, Dejan
PY  - 2021
UR  - https://cer.ihtm.bg.ac.rs/handle/123456789/7537
AB  - 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 berries 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.
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.
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.
The obtained results showed that the HPTLC-based metabolomics approach can be a very reliable technique for the detection of chokeberry adulteration
PB  - University of Belgrade
C3  - Unifood Conference, Program i zbornik radova, Beograd, 24 i 25 septembar 2021. / Unifood Conference, Programme & Book of Abstracts, Belgrade September 24-25 2021
T1  - Detection of chokeberry adulteration by HPTLS-based metabolomics
SP  - 136
EP  - 136
UR  - https://hdl.handle.net/21.15107/rcub_cer_7537
ER  - 

@conference{
author = "Ivanović, Stefan and Ristivojević, Petar and Zdunić, Gordana and Stojanović, Danilo and Šavikin, Katarina and Gođevac, Dejan",
year = "2021",
abstract = "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 berries 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.
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.
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.
The obtained results showed that the HPTLC-based metabolomics approach can be a very reliable technique for the detection of chokeberry adulteration",
publisher = "University of Belgrade",
journal = "Unifood Conference, Program i zbornik radova, Beograd, 24 i 25 septembar 2021. / Unifood Conference, Programme & Book of Abstracts, Belgrade September 24-25 2021",
title = "Detection of chokeberry adulteration by HPTLS-based metabolomics",
pages = "136-136",
url = "https://hdl.handle.net/21.15107/rcub_cer_7537"
}

Ivanović, S., Ristivojević, P., Zdunić, G., Stojanović, D., Šavikin, K.,& Gođevac, D.. (2021). Detection of chokeberry adulteration by HPTLS-based metabolomics. in Unifood Conference, Program i zbornik radova, Beograd, 24 i 25 septembar 2021. / Unifood Conference, Programme & Book of Abstracts, Belgrade September 24-25 2021
University of Belgrade., 136-136.
https://hdl.handle.net/21.15107/rcub_cer_7537

Ivanović S, Ristivojević P, Zdunić G, Stojanović D, Šavikin K, Gođevac D. Detection of chokeberry adulteration by HPTLS-based metabolomics. in Unifood Conference, Program i zbornik radova, Beograd, 24 i 25 septembar 2021. / Unifood Conference, Programme & Book of Abstracts, Belgrade September 24-25 2021. 2021;:136-136.
https://hdl.handle.net/21.15107/rcub_cer_7537 .

Ivanović, Stefan, Ristivojević, Petar, Zdunić, Gordana, Stojanović, Danilo, Šavikin, Katarina, Gođevac, Dejan, "Detection of chokeberry adulteration by HPTLS-based metabolomics" in Unifood Conference, Program i zbornik radova, Beograd, 24 i 25 septembar 2021. / Unifood Conference, Programme & Book of Abstracts, Belgrade September 24-25 2021 (2021):136-136,
https://hdl.handle.net/21.15107/rcub_cer_7537 .