TY  - JOUR
AU  - Jović, Marko D.
AU  - Agatonovic-Kustrin, Snezana
AU  - Ristivojević, Petar 
AU  - Trifković, Jelena 
AU  - Morton, David W.
PY  - 2023
UR  - http://cherry.chem.bg.ac.rs/handle/123456789/6304
AB  - Natural products and their analogues have contributed significantly to treatment options, especially for anti-inflammatory and infectious diseases. Thus, the primary objective of this work was to compare the bioactivity profiles of selected medicinal plants that are historically used in folk medicine to treat inflammation and infections in the body. Chemical HPTLC fingerprinting was used to assess antioxidant, phenolic and flavonoid content, while bioassay-guided HPTLC was used to detect compounds with the highest antibacterial and anti-inflammatory activities. The results of this study showed that green tea leaf, walnut leaf, St. John’s wort herb, wild thyme herb, European goldenrod herb, chamomile flower, and immortelle flower extracts were strong radical scavengers. Green tea and nettle extracts were the most active extracts against E. coli, while calendula flower extract showed significant potency against S. aureus. Furthermore, green tea, greater celandine, and fumitory extracts exhibited pronounced potential in suppressing COX-1 activity. The bioactive compounds from the green tea extract, as the most bioactive, were isolated by preparative thin-layer chromatography and characterized with their FTIR spectra. Although earlier studies have related green tea’s anti-inflammatory properties to the presence of catechins, particularly epigallocatechin-3-gallate, the FTIR spectrum of the compound from the most intense bioactive zone showed the strongest anti-inflammatory activity can be attributed to amino acids and heterocyclic compounds. As expected, antibacterial activity in extracts was related to fatty acids and monoglycerides.
PB  - MDPI
T2  - Molecules
T1  - Bioassay-Guided Assessment of Antioxidative, Anti-Inflammatory and Antimicrobial Activities of Extracts from Medicinal Plants via High-Performance Thin-Layer Chromatography
VL  - 28
IS  - 21
SP  - 7346
DO  - 10.3390/molecules28217346
ER  - 

@article{
author = "Jović, Marko D. and Agatonovic-Kustrin, Snezana and Ristivojević, Petar  and Trifković, Jelena  and Morton, David W.",
year = "2023",
abstract = "Natural products and their analogues have contributed significantly to treatment options, especially for anti-inflammatory and infectious diseases. Thus, the primary objective of this work was to compare the bioactivity profiles of selected medicinal plants that are historically used in folk medicine to treat inflammation and infections in the body. Chemical HPTLC fingerprinting was used to assess antioxidant, phenolic and flavonoid content, while bioassay-guided HPTLC was used to detect compounds with the highest antibacterial and anti-inflammatory activities. The results of this study showed that green tea leaf, walnut leaf, St. John’s wort herb, wild thyme herb, European goldenrod herb, chamomile flower, and immortelle flower extracts were strong radical scavengers. Green tea and nettle extracts were the most active extracts against E. coli, while calendula flower extract showed significant potency against S. aureus. Furthermore, green tea, greater celandine, and fumitory extracts exhibited pronounced potential in suppressing COX-1 activity. The bioactive compounds from the green tea extract, as the most bioactive, were isolated by preparative thin-layer chromatography and characterized with their FTIR spectra. Although earlier studies have related green tea’s anti-inflammatory properties to the presence of catechins, particularly epigallocatechin-3-gallate, the FTIR spectrum of the compound from the most intense bioactive zone showed the strongest anti-inflammatory activity can be attributed to amino acids and heterocyclic compounds. As expected, antibacterial activity in extracts was related to fatty acids and monoglycerides.",
publisher = "MDPI",
journal = "Molecules",
title = "Bioassay-Guided Assessment of Antioxidative, Anti-Inflammatory and Antimicrobial Activities of Extracts from Medicinal Plants via High-Performance Thin-Layer Chromatography",
volume = "28",
number = "21",
pages = "7346",
doi = "10.3390/molecules28217346"
}

Jović, M. D., Agatonovic-Kustrin, S., Ristivojević, P., Trifković, J.,& Morton, D. W.. (2023). Bioassay-Guided Assessment of Antioxidative, Anti-Inflammatory and Antimicrobial Activities of Extracts from Medicinal Plants via High-Performance Thin-Layer Chromatography. in Molecules
MDPI., 28(21), 7346.
https://doi.org/10.3390/molecules28217346

Jović MD, Agatonovic-Kustrin S, Ristivojević P, Trifković J, Morton DW. Bioassay-Guided Assessment of Antioxidative, Anti-Inflammatory and Antimicrobial Activities of Extracts from Medicinal Plants via High-Performance Thin-Layer Chromatography. in Molecules. 2023;28(21):7346.
doi:10.3390/molecules28217346 .

Jović, Marko D., Agatonovic-Kustrin, Snezana, Ristivojević, Petar , Trifković, Jelena , Morton, David W., "Bioassay-Guided Assessment of Antioxidative, Anti-Inflammatory and Antimicrobial Activities of Extracts from Medicinal Plants via High-Performance Thin-Layer Chromatography" in Molecules, 28, no. 21 (2023):7346,
https://doi.org/10.3390/molecules28217346 . .

TY  - JOUR
AU  - Agatonovic-Kustrin, Snezana
AU  - Ristivojević, Petar
AU  - Gegechkori, Vladimir
AU  - Litvinova, Tatiana M.
AU  - Morton, David W.
PY  - 2020
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/4302
AB  - Essential oils are highly volatile, aromatic concentrated extracts from plants with wide applications. In this study, fast, easy-to-use attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR) was combined with chemometric techniques to verify essential oils’ taxonomy and purity. Principal component analysis (PCA) clustered 30 essential oil samples into three different groups based on plant botanical family and concentration. The first group contained highly concentrated oils from the Asteraceae family, the second group contained highly concentrated oils from the Lamiaceae family, while the last group contained three highly concentrated essential oils from different botanical families and commercial-grade essential oils. Thus, commercial-grade oil samples did not cluster with the corresponding concentrated oil samples despite their similar spectral patterns or botanical family. A loading plot identified infrared (IR) bands that correspond to carbonyl, vinyl, methyl and methylene group vibrations as the most important spectral bands that can be used as marker bands for discrimination between different botanical plant family groups. Hierarchical cluster analysis (HCA) confirmed the results obtained by PCA. ATR-FTIR spectroscopy combined with chemometric algorithms provides a direct and non-destructive method for chemotaxonomic classification of medicinal and aromatic essential oils and an assessment of their purity.
T2  - Applied Sciences
T1  - Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques
VL  - 10
IS  - 20
SP  - 7294
DO  - 10.3390/app10207294
ER  - 

@article{
author = "Agatonovic-Kustrin, Snezana and Ristivojević, Petar and Gegechkori, Vladimir and Litvinova, Tatiana M. and Morton, David W.",
year = "2020",
abstract = "Essential oils are highly volatile, aromatic concentrated extracts from plants with wide applications. In this study, fast, easy-to-use attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR) was combined with chemometric techniques to verify essential oils’ taxonomy and purity. Principal component analysis (PCA) clustered 30 essential oil samples into three different groups based on plant botanical family and concentration. The first group contained highly concentrated oils from the Asteraceae family, the second group contained highly concentrated oils from the Lamiaceae family, while the last group contained three highly concentrated essential oils from different botanical families and commercial-grade essential oils. Thus, commercial-grade oil samples did not cluster with the corresponding concentrated oil samples despite their similar spectral patterns or botanical family. A loading plot identified infrared (IR) bands that correspond to carbonyl, vinyl, methyl and methylene group vibrations as the most important spectral bands that can be used as marker bands for discrimination between different botanical plant family groups. Hierarchical cluster analysis (HCA) confirmed the results obtained by PCA. ATR-FTIR spectroscopy combined with chemometric algorithms provides a direct and non-destructive method for chemotaxonomic classification of medicinal and aromatic essential oils and an assessment of their purity.",
journal = "Applied Sciences",
title = "Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques",
volume = "10",
number = "20",
pages = "7294",
doi = "10.3390/app10207294"
}

Agatonovic-Kustrin, S., Ristivojević, P., Gegechkori, V., Litvinova, T. M.,& Morton, D. W.. (2020). Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques. in Applied Sciences, 10(20), 7294.
https://doi.org/10.3390/app10207294

Agatonovic-Kustrin S, Ristivojević P, Gegechkori V, Litvinova TM, Morton DW. Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques. in Applied Sciences. 2020;10(20):7294.
doi:10.3390/app10207294 .

Agatonovic-Kustrin, Snezana, Ristivojević, Petar, Gegechkori, Vladimir, Litvinova, Tatiana M., Morton, David W., "Essential Oil Quality and Purity Evaluation via FT-IR Spectroscopy and Pattern Recognition Techniques" in Applied Sciences, 10, no. 20 (2020):7294,
https://doi.org/10.3390/app10207294 . .