TY  - JOUR
AU  - Lazović, Mila
AU  - Cvijetić, Ilija
AU  - Trifković, Jelena
AU  - Agatonović‑Kuštrin, Snežana
AU  - Morton, David W.
AU  - Ristivojević, Petar
PY  - 2023
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/6231
AB  - Owing to the use of large volumes of toxic solvents and reagents, green analytical methods have gained increasing importance in natural product research. Herein, a green approach is proposed using the natural deep eutectic solvents (NADES) for the extraction and separation of phenols from Teucrium chamaedrys by use of an ecofriendly high-performance thin-layer chromatography (HPTLC) method. Principal component analysis was used to classify NADES extracts based on HPTLC data. The method’s greenness was assessed using two different tools: the National Environmental Methods Index (NEMI) and the analytical eco-scale. This method can also find application in routine quality control analysis of the investigated medicinal herb with minimal harm to the environment or human health.
PB  - Springer
T2  - JPC – Journal of Planar Chromatography – Modern TLC
T1  - Green analytical profiling of Teucrium chamaedrys L. using natural deep eutectic solvents and planar chromatography: a greenness assessment by the National Environmental Methods Index and analytical eco‑scale
VL  - n/a
DO  - 10.1007/s00764-023-00250-3
ER  - 

@article{
author = "Lazović, Mila and Cvijetić, Ilija and Trifković, Jelena and Agatonović‑Kuštrin, Snežana and Morton, David W. and Ristivojević, Petar",
year = "2023",
abstract = "Owing to the use of large volumes of toxic solvents and reagents, green analytical methods have gained increasing importance in natural product research. Herein, a green approach is proposed using the natural deep eutectic solvents (NADES) for the extraction and separation of phenols from Teucrium chamaedrys by use of an ecofriendly high-performance thin-layer chromatography (HPTLC) method. Principal component analysis was used to classify NADES extracts based on HPTLC data. The method’s greenness was assessed using two different tools: the National Environmental Methods Index (NEMI) and the analytical eco-scale. This method can also find application in routine quality control analysis of the investigated medicinal herb with minimal harm to the environment or human health.",
publisher = "Springer",
journal = "JPC – Journal of Planar Chromatography – Modern TLC",
title = "Green analytical profiling of Teucrium chamaedrys L. using natural deep eutectic solvents and planar chromatography: a greenness assessment by the National Environmental Methods Index and analytical eco‑scale",
volume = "n/a",
doi = "10.1007/s00764-023-00250-3"
}

Lazović, M., Cvijetić, I., Trifković, J., Agatonović‑Kuštrin, S., Morton, D. W.,& Ristivojević, P.. (2023). Green analytical profiling of Teucrium chamaedrys L. using natural deep eutectic solvents and planar chromatography: a greenness assessment by the National Environmental Methods Index and analytical eco‑scale. in JPC – Journal of Planar Chromatography – Modern TLC
Springer., n/a.
https://doi.org/10.1007/s00764-023-00250-3

Lazović M, Cvijetić I, Trifković J, Agatonović‑Kuštrin S, Morton DW, Ristivojević P. Green analytical profiling of Teucrium chamaedrys L. using natural deep eutectic solvents and planar chromatography: a greenness assessment by the National Environmental Methods Index and analytical eco‑scale. in JPC – Journal of Planar Chromatography – Modern TLC. 2023;n/a.
doi:10.1007/s00764-023-00250-3 .

Lazović, Mila, Cvijetić, Ilija, Trifković, Jelena, Agatonović‑Kuštrin, Snežana, Morton, David W., Ristivojević, Petar, "Green analytical profiling of Teucrium chamaedrys L. using natural deep eutectic solvents and planar chromatography: a greenness assessment by the National Environmental Methods Index and analytical eco‑scale" in JPC – Journal of Planar Chromatography – Modern TLC, n/a (2023),
https://doi.org/10.1007/s00764-023-00250-3 . .

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Milojković-Opsenica, Dušanka
AU  - Morton, David W.
AU  - Ristivojević, Petar
PY  - 2017
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/2437
AB  - The objective of this study was to determine which major grape varieties are present in a given wine using both high-performance thin-layer chromatography (HPTLC) fingerprinting and multivariate analysis. For this purpose, 40 mono-and multi-varietal commercial wine samples from four vintages between 2003 and 2012 were collected and analyzed for their polyphenolic composition using HPTLC peak profiles. Polyphenolic compounds such as gallic acid, caffeic acid, resveratrol and rutin (each belonging to one of the four common classes of wine polyphenolic antioxidants) were identified. Unsupervised chemometric method, principal component analysis was used to analyze variance in HPTLC patterns as a function of wine grape variety. An artificial neutral network, as the efficient supervised chemometric tool, was used to develop a predictive model for classification of wine samples and discrimination between them.
PB  - Springer, New York
T2  - European Food Research and Technology
T1  - Chemometric characterization of wines according to their HPTLC fingerprints
VL  - 243
IS  - 4
SP  - 659
EP  - 667
DO  - 10.1007/s00217-016-2779-9
ER  - 

@article{
author = "Agatonović-Kuštrin, Snežana and Milojković-Opsenica, Dušanka and Morton, David W. and Ristivojević, Petar",
year = "2017",
abstract = "The objective of this study was to determine which major grape varieties are present in a given wine using both high-performance thin-layer chromatography (HPTLC) fingerprinting and multivariate analysis. For this purpose, 40 mono-and multi-varietal commercial wine samples from four vintages between 2003 and 2012 were collected and analyzed for their polyphenolic composition using HPTLC peak profiles. Polyphenolic compounds such as gallic acid, caffeic acid, resveratrol and rutin (each belonging to one of the four common classes of wine polyphenolic antioxidants) were identified. Unsupervised chemometric method, principal component analysis was used to analyze variance in HPTLC patterns as a function of wine grape variety. An artificial neutral network, as the efficient supervised chemometric tool, was used to develop a predictive model for classification of wine samples and discrimination between them.",
publisher = "Springer, New York",
journal = "European Food Research and Technology",
title = "Chemometric characterization of wines according to their HPTLC fingerprints",
volume = "243",
number = "4",
pages = "659-667",
doi = "10.1007/s00217-016-2779-9"
}

Agatonović-Kuštrin, S., Milojković-Opsenica, D., Morton, D. W.,& Ristivojević, P.. (2017). Chemometric characterization of wines according to their HPTLC fingerprints. in European Food Research and Technology
Springer, New York., 243(4), 659-667.
https://doi.org/10.1007/s00217-016-2779-9

Agatonović-Kuštrin S, Milojković-Opsenica D, Morton DW, Ristivojević P. Chemometric characterization of wines according to their HPTLC fingerprints. in European Food Research and Technology. 2017;243(4):659-667.
doi:10.1007/s00217-016-2779-9 .

Agatonović-Kuštrin, Snežana, Milojković-Opsenica, Dušanka, Morton, David W., Ristivojević, Petar, "Chemometric characterization of wines according to their HPTLC fingerprints" in European Food Research and Technology, 243, no. 4 (2017):659-667,
https://doi.org/10.1007/s00217-016-2779-9 . .

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Morton, David W.
AU  - Ristivojević, Petar
PY  - 2017
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/2448
AB  - Aim and Objective: This study investigates molecular structural requirements that are responsible for the antioxidant activity in phenolic compounds. Method: Antioxidant activity of compounds was determined with a 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical assay. Principal component analysis (PCA) was used to classify phenolic antioxidants according to the key molecular features that contribute to their antioxidant activity. Artificial neutral networks (ANNs) was used to develop a predictive QSAR model. Results: Both models agreed that structural characteristics of phenolic compounds responsible for the antioxidant activity include: (1) number and position of alcohol groups on the aromatic ring; (2) molecular size; (3) flexibility/bulkiness; and (4) water solubility. PCA has classified data into phenolic acids and flavonoids, suggesting two distinct mechanisms of action. ANN has confirmed different mechanisms of action for flavonoids and polyphenolic acids, i.e. breaking of free radical chain reactions by donation of a hydrogen atom to neutralise a free radical and the chelating ability of polyphenolic acids. Conclusion: Although two phenolic acids may have the same relative polarity, their different functional groups may drastically change the nature of their interactions with free radicals, and their antioxidant activity.
PB  - Bentham Science Publ Ltd, Sharjah
T2  - Combinatorial Chemistry and High Throughput Screening
T1  - Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN
VL  - 20
IS  - 1
SP  - 25
EP  - 34
DO  - 10.2174/1386207320666170102123146
ER  - 

@article{
author = "Agatonović-Kuštrin, Snežana and Morton, David W. and Ristivojević, Petar",
year = "2017",
abstract = "Aim and Objective: This study investigates molecular structural requirements that are responsible for the antioxidant activity in phenolic compounds. Method: Antioxidant activity of compounds was determined with a 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical assay. Principal component analysis (PCA) was used to classify phenolic antioxidants according to the key molecular features that contribute to their antioxidant activity. Artificial neutral networks (ANNs) was used to develop a predictive QSAR model. Results: Both models agreed that structural characteristics of phenolic compounds responsible for the antioxidant activity include: (1) number and position of alcohol groups on the aromatic ring; (2) molecular size; (3) flexibility/bulkiness; and (4) water solubility. PCA has classified data into phenolic acids and flavonoids, suggesting two distinct mechanisms of action. ANN has confirmed different mechanisms of action for flavonoids and polyphenolic acids, i.e. breaking of free radical chain reactions by donation of a hydrogen atom to neutralise a free radical and the chelating ability of polyphenolic acids. Conclusion: Although two phenolic acids may have the same relative polarity, their different functional groups may drastically change the nature of their interactions with free radicals, and their antioxidant activity.",
publisher = "Bentham Science Publ Ltd, Sharjah",
journal = "Combinatorial Chemistry and High Throughput Screening",
title = "Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN",
volume = "20",
number = "1",
pages = "25-34",
doi = "10.2174/1386207320666170102123146"
}

Agatonović-Kuštrin, S., Morton, D. W.,& Ristivojević, P.. (2017). Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN. in Combinatorial Chemistry and High Throughput Screening
Bentham Science Publ Ltd, Sharjah., 20(1), 25-34.
https://doi.org/10.2174/1386207320666170102123146

Agatonović-Kuštrin S, Morton DW, Ristivojević P. Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN. in Combinatorial Chemistry and High Throughput Screening. 2017;20(1):25-34.
doi:10.2174/1386207320666170102123146 .

Agatonović-Kuštrin, Snežana, Morton, David W., Ristivojević, Petar, "Probing into the Molecular Requirements for Antioxidant Activity in Plant Phenolic Compounds Utilizing a Combined Strategy of PCA and ANN" in Combinatorial Chemistry and High Throughput Screening, 20, no. 1 (2017):25-34,
https://doi.org/10.2174/1386207320666170102123146 . .

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Morton, David W.
AU  - Ristivojević, Petar
PY  - 2016
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/2330
AB  - The aim of this study was to develop and validate a rapid and simple high performance thin layer chromatographic (HPTLC) method to screen for antioxidant activity in algal samples. 16 algal species were collected from local Victorian beaches. Fucoxanthin, one of the most abundant marine carotenoids was quantified directly from the HPTLC plates before derivatization, while derivatization either with 2,2-diphenyl-1-picrylhydrazyl (DPPH center dot) or ferric chloride (FeCl3) was used to analyze antioxidants in marine algae, based on their ability to scavenge non biological stable free radical (DPPH center dot) or to chelate iron ions. Principal component analysis of obtained HPTLC fingerprints has classified algae species into 5 groups according to their chemical/antioxidant profiles. The investigated brown algae samples were found to be rich in non-and moderate-polar compounds and phenolic compounds with antioxidant activity. Most of the phenolic iron chelators also have shown free radical scavenging activity. Strong positive and significant correlations between total phenolic content and DPPH radical scavenging activity showed that, phenolic compounds, including flavonoids are the main contributors of antioxidant activity in these species. The results suggest that certain brown algae possess significantly higher antioxidant potential when compared to red or green algae and could be considered for future applications in medicine, dietary supplements, cosmetics or food industries. Cystophora monilifera extract was found to have the highest antioxidant concentration, followed by Zonaria angustata, Cystophora pectinate, Codium fragile, and Cystophora pectinata. Fucoxanthin was found mainly in the brown algae species. The proposed methods provide an edge in terms of screening for antioxidants and quantification of antioxidant constituents in complex mixtures. The current application also demonstrates flexibility and versatility of a standard HPTLC system in the drug discovery. Proposed methods could be used for the bioassay-guided isolation of unknown natural antioxidants and subsequent identification if combined with spectroscopic identification. (C) 2016 Elsevier B.V. All rights reserved.
PB  - Elsevier Science Bv, Amsterdam
T2  - Journal of Chromatography A
T1  - Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis
VL  - 1468
SP  - 228
EP  - 235
DO  - 10.1016/j.chroma.2016.09.041
ER  - 

@article{
author = "Agatonović-Kuštrin, Snežana and Morton, David W. and Ristivojević, Petar",
year = "2016",
abstract = "The aim of this study was to develop and validate a rapid and simple high performance thin layer chromatographic (HPTLC) method to screen for antioxidant activity in algal samples. 16 algal species were collected from local Victorian beaches. Fucoxanthin, one of the most abundant marine carotenoids was quantified directly from the HPTLC plates before derivatization, while derivatization either with 2,2-diphenyl-1-picrylhydrazyl (DPPH center dot) or ferric chloride (FeCl3) was used to analyze antioxidants in marine algae, based on their ability to scavenge non biological stable free radical (DPPH center dot) or to chelate iron ions. Principal component analysis of obtained HPTLC fingerprints has classified algae species into 5 groups according to their chemical/antioxidant profiles. The investigated brown algae samples were found to be rich in non-and moderate-polar compounds and phenolic compounds with antioxidant activity. Most of the phenolic iron chelators also have shown free radical scavenging activity. Strong positive and significant correlations between total phenolic content and DPPH radical scavenging activity showed that, phenolic compounds, including flavonoids are the main contributors of antioxidant activity in these species. The results suggest that certain brown algae possess significantly higher antioxidant potential when compared to red or green algae and could be considered for future applications in medicine, dietary supplements, cosmetics or food industries. Cystophora monilifera extract was found to have the highest antioxidant concentration, followed by Zonaria angustata, Cystophora pectinate, Codium fragile, and Cystophora pectinata. Fucoxanthin was found mainly in the brown algae species. The proposed methods provide an edge in terms of screening for antioxidants and quantification of antioxidant constituents in complex mixtures. The current application also demonstrates flexibility and versatility of a standard HPTLC system in the drug discovery. Proposed methods could be used for the bioassay-guided isolation of unknown natural antioxidants and subsequent identification if combined with spectroscopic identification. (C) 2016 Elsevier B.V. All rights reserved.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Journal of Chromatography A",
title = "Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis",
volume = "1468",
pages = "228-235",
doi = "10.1016/j.chroma.2016.09.041"
}

Agatonović-Kuštrin, S., Morton, D. W.,& Ristivojević, P.. (2016). Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis. in Journal of Chromatography A
Elsevier Science Bv, Amsterdam., 1468, 228-235.
https://doi.org/10.1016/j.chroma.2016.09.041

Agatonović-Kuštrin S, Morton DW, Ristivojević P. Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis. in Journal of Chromatography A. 2016;1468:228-235.
doi:10.1016/j.chroma.2016.09.041 .

Agatonović-Kuštrin, Snežana, Morton, David W., Ristivojević, Petar, "Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis" in Journal of Chromatography A, 1468 (2016):228-235,
https://doi.org/10.1016/j.chroma.2016.09.041 . .

TY  - JOUR
AU  - Agatonović-Kuštrin, Snežana
AU  - Morton, David W.
AU  - Ristivojević, Petar
PY  - 2016
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3373
AB  - The aim of this study was to develop and validate a rapid and simple high performance thin layer chromatographic (HPTLC) method to screen for antioxidant activity in algal samples. 16 algal species were collected from local Victorian beaches. Fucoxanthin, one of the most abundant marine carotenoids was quantified directly from the HPTLC plates before derivatization, while derivatization either with 2,2-diphenyl-1-picrylhydrazyl (DPPH center dot) or ferric chloride (FeCl3) was used to analyze antioxidants in marine algae, based on their ability to scavenge non biological stable free radical (DPPH center dot) or to chelate iron ions. Principal component analysis of obtained HPTLC fingerprints has classified algae species into 5 groups according to their chemical/antioxidant profiles. The investigated brown algae samples were found to be rich in non-and moderate-polar compounds and phenolic compounds with antioxidant activity. Most of the phenolic iron chelators also have shown free radical scavenging activity. Strong positive and significant correlations between total phenolic content and DPPH radical scavenging activity showed that, phenolic compounds, including flavonoids are the main contributors of antioxidant activity in these species. The results suggest that certain brown algae possess significantly higher antioxidant potential when compared to red or green algae and could be considered for future applications in medicine, dietary supplements, cosmetics or food industries. Cystophora monilifera extract was found to have the highest antioxidant concentration, followed by Zonaria angustata, Cystophora pectinate, Codium fragile, and Cystophora pectinata. Fucoxanthin was found mainly in the brown algae species. The proposed methods provide an edge in terms of screening for antioxidants and quantification of antioxidant constituents in complex mixtures. The current application also demonstrates flexibility and versatility of a standard HPTLC system in the drug discovery. Proposed methods could be used for the bioassay-guided isolation of unknown natural antioxidants and subsequent identification if combined with spectroscopic identification. (C) 2016 Elsevier B.V. All rights reserved.
PB  - Elsevier Science Bv, Amsterdam
T2  - Journal of Chromatography A
T1  - Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis
VL  - 1468
SP  - 228
EP  - 235
DO  - 10.1016/j.chroma.2016.09.041
ER  - 

@article{
author = "Agatonović-Kuštrin, Snežana and Morton, David W. and Ristivojević, Petar",
year = "2016",
abstract = "The aim of this study was to develop and validate a rapid and simple high performance thin layer chromatographic (HPTLC) method to screen for antioxidant activity in algal samples. 16 algal species were collected from local Victorian beaches. Fucoxanthin, one of the most abundant marine carotenoids was quantified directly from the HPTLC plates before derivatization, while derivatization either with 2,2-diphenyl-1-picrylhydrazyl (DPPH center dot) or ferric chloride (FeCl3) was used to analyze antioxidants in marine algae, based on their ability to scavenge non biological stable free radical (DPPH center dot) or to chelate iron ions. Principal component analysis of obtained HPTLC fingerprints has classified algae species into 5 groups according to their chemical/antioxidant profiles. The investigated brown algae samples were found to be rich in non-and moderate-polar compounds and phenolic compounds with antioxidant activity. Most of the phenolic iron chelators also have shown free radical scavenging activity. Strong positive and significant correlations between total phenolic content and DPPH radical scavenging activity showed that, phenolic compounds, including flavonoids are the main contributors of antioxidant activity in these species. The results suggest that certain brown algae possess significantly higher antioxidant potential when compared to red or green algae and could be considered for future applications in medicine, dietary supplements, cosmetics or food industries. Cystophora monilifera extract was found to have the highest antioxidant concentration, followed by Zonaria angustata, Cystophora pectinate, Codium fragile, and Cystophora pectinata. Fucoxanthin was found mainly in the brown algae species. The proposed methods provide an edge in terms of screening for antioxidants and quantification of antioxidant constituents in complex mixtures. The current application also demonstrates flexibility and versatility of a standard HPTLC system in the drug discovery. Proposed methods could be used for the bioassay-guided isolation of unknown natural antioxidants and subsequent identification if combined with spectroscopic identification. (C) 2016 Elsevier B.V. All rights reserved.",
publisher = "Elsevier Science Bv, Amsterdam",
journal = "Journal of Chromatography A",
title = "Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis",
volume = "1468",
pages = "228-235",
doi = "10.1016/j.chroma.2016.09.041"
}

Agatonović-Kuštrin, S., Morton, D. W.,& Ristivojević, P.. (2016). Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis. in Journal of Chromatography A
Elsevier Science Bv, Amsterdam., 1468, 228-235.
https://doi.org/10.1016/j.chroma.2016.09.041

Agatonović-Kuštrin S, Morton DW, Ristivojević P. Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis. in Journal of Chromatography A. 2016;1468:228-235.
doi:10.1016/j.chroma.2016.09.041 .

Agatonović-Kuštrin, Snežana, Morton, David W., Ristivojević, Petar, "Assessment of antioxidant activity in Victorian marine algal extracts using high performance thin-layer chromatography and multivariate analysis" in Journal of Chromatography A, 1468 (2016):228-235,
https://doi.org/10.1016/j.chroma.2016.09.041 . .