Gojković-Bukarica, Ljiliana

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7232d502-f764-4595-904e-c6d28bf003eb
  • Gojković-Bukarica, Ljiliana (4)
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Author's Bibliography

Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds

Radovanović, Aleksandra; Jovančićević, Branimir; Arsić, Biljana; Radovanović, Blaga; Gojković-Bukarica, Ljiliana

(Academic Press Inc Elsevier Science, San Diego, 2016)

TY  - JOUR
AU  - Radovanović, Aleksandra
AU  - Jovančićević, Branimir
AU  - Arsić, Biljana
AU  - Radovanović, Blaga
AU  - Gojković-Bukarica, Ljiliana
PY  - 2016
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3358
AB  - Phenolic compounds in sixteen Cabernet Sauvignon wines from different wine-growing sub-regions in the Balkan region were investigated using HPLC with DAD and fluorescence detector and spectroscopic analysis, as well as statistical PC/F and cluster analysis. The HPLC analysis of investigated red wines showed that the content of total hydroxybenzoic acids, detected at 280 nm, was the highest in wines from Tikves wine-growing subregion, Macedonia (127-140 mg L-1). Total hydroxycinnamic acids, detected at 320 nm, were the highest in wines from Zupa wine-growing subregion, Serbia (43-45 mg L-1). The concentration of total flavonoids (flavan-3-ols, flavonols, flavons and flavanon), detected at 280, 360 and 322/275 nm, respectively, was the highest in wine from Katarzyna Estate wine-growing subregion, Bulgaria (167 mg L-1). Finally, the concentration of total anthocyanins, detected at 520 nm, was the highest in wine from Sumadija wine-growing subregion, Serbia (1463 mg L-1). The results of PCA and cluster analysis together confirmed that the content of phenolic compounds in Cabernet Sauvignon wines depends on agro-climatic factors, oenological practice in different wineries and the growing season in the Balkan region that were investigated. The areas in the Balkan region in this study with similar agro-climatic characteristics showed shorter clustering distance, indicating similar phenol profiling in the red wines tested. (C) 2016 Elsevier Inc. All rights reserved.
PB  - Academic Press Inc Elsevier Science, San Diego
T2  - Journal of Food Composition and Analysis
T1  - Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds
VL  - 49
SP  - 42
EP  - 48
DO  - 10.1016/j.jfca.2016.04.001
ER  - 
@article{
author = "Radovanović, Aleksandra and Jovančićević, Branimir and Arsić, Biljana and Radovanović, Blaga and Gojković-Bukarica, Ljiliana",
year = "2016",
abstract = "Phenolic compounds in sixteen Cabernet Sauvignon wines from different wine-growing sub-regions in the Balkan region were investigated using HPLC with DAD and fluorescence detector and spectroscopic analysis, as well as statistical PC/F and cluster analysis. The HPLC analysis of investigated red wines showed that the content of total hydroxybenzoic acids, detected at 280 nm, was the highest in wines from Tikves wine-growing subregion, Macedonia (127-140 mg L-1). Total hydroxycinnamic acids, detected at 320 nm, were the highest in wines from Zupa wine-growing subregion, Serbia (43-45 mg L-1). The concentration of total flavonoids (flavan-3-ols, flavonols, flavons and flavanon), detected at 280, 360 and 322/275 nm, respectively, was the highest in wine from Katarzyna Estate wine-growing subregion, Bulgaria (167 mg L-1). Finally, the concentration of total anthocyanins, detected at 520 nm, was the highest in wine from Sumadija wine-growing subregion, Serbia (1463 mg L-1). The results of PCA and cluster analysis together confirmed that the content of phenolic compounds in Cabernet Sauvignon wines depends on agro-climatic factors, oenological practice in different wineries and the growing season in the Balkan region that were investigated. The areas in the Balkan region in this study with similar agro-climatic characteristics showed shorter clustering distance, indicating similar phenol profiling in the red wines tested. (C) 2016 Elsevier Inc. All rights reserved.",
publisher = "Academic Press Inc Elsevier Science, San Diego",
journal = "Journal of Food Composition and Analysis",
title = "Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds",
volume = "49",
pages = "42-48",
doi = "10.1016/j.jfca.2016.04.001"
}
Radovanović, A., Jovančićević, B., Arsić, B., Radovanović, B.,& Gojković-Bukarica, L.. (2016). Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds. in Journal of Food Composition and Analysis
Academic Press Inc Elsevier Science, San Diego., 49, 42-48.
https://doi.org/10.1016/j.jfca.2016.04.001
Radovanović A, Jovančićević B, Arsić B, Radovanović B, Gojković-Bukarica L. Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds. in Journal of Food Composition and Analysis. 2016;49:42-48.
doi:10.1016/j.jfca.2016.04.001 .
Radovanović, Aleksandra, Jovančićević, Branimir, Arsić, Biljana, Radovanović, Blaga, Gojković-Bukarica, Ljiliana, "Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds" in Journal of Food Composition and Analysis, 49 (2016):42-48,
https://doi.org/10.1016/j.jfca.2016.04.001 . .
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Supplementary material for the article: Radovanovic, A.; Jovancicevic, B.; Arsic, B.; Radovanovic, B.; Bukarica, L. G. Application of Non-Supervised Pattern Recognition Techniques to Classify Cabernet Sauvignon Wines from the Balkan Region Based on Individual Phenolic Compounds. Journal of Food Composition and Analysis 2016, 49, 42–48. https://doi.org/10.1016/j.jfca.2016.04.001

Radovanović, Aleksandra; Jovančićević, Branimir; Arsić, Biljana; Radovanović, Blaga; Gojković-Bukarica, Ljiliana

(Academic Press Inc Elsevier Science, San Diego, 2016)

TY  - DATA
AU  - Radovanović, Aleksandra
AU  - Jovančićević, Branimir
AU  - Arsić, Biljana
AU  - Radovanović, Blaga
AU  - Gojković-Bukarica, Ljiliana
PY  - 2016
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/3359
PB  - Academic Press Inc Elsevier Science, San Diego
T2  - Journal of Food Composition and Analysis
T1  - Supplementary material for the article: Radovanovic, A.; Jovancicevic, B.; Arsic, B.; Radovanovic, B.; Bukarica, L. G. Application of Non-Supervised Pattern Recognition Techniques to Classify Cabernet Sauvignon Wines from the Balkan Region Based on Individual Phenolic Compounds. Journal of Food Composition and Analysis 2016, 49, 42–48. https://doi.org/10.1016/j.jfca.2016.04.001
UR  - https://hdl.handle.net/21.15107/rcub_cherry_3359
ER  - 
@misc{
author = "Radovanović, Aleksandra and Jovančićević, Branimir and Arsić, Biljana and Radovanović, Blaga and Gojković-Bukarica, Ljiliana",
year = "2016",
publisher = "Academic Press Inc Elsevier Science, San Diego",
journal = "Journal of Food Composition and Analysis",
title = "Supplementary material for the article: Radovanovic, A.; Jovancicevic, B.; Arsic, B.; Radovanovic, B.; Bukarica, L. G. Application of Non-Supervised Pattern Recognition Techniques to Classify Cabernet Sauvignon Wines from the Balkan Region Based on Individual Phenolic Compounds. Journal of Food Composition and Analysis 2016, 49, 42–48. https://doi.org/10.1016/j.jfca.2016.04.001",
url = "https://hdl.handle.net/21.15107/rcub_cherry_3359"
}
Radovanović, A., Jovančićević, B., Arsić, B., Radovanović, B.,& Gojković-Bukarica, L.. (2016). Supplementary material for the article: Radovanovic, A.; Jovancicevic, B.; Arsic, B.; Radovanovic, B.; Bukarica, L. G. Application of Non-Supervised Pattern Recognition Techniques to Classify Cabernet Sauvignon Wines from the Balkan Region Based on Individual Phenolic Compounds. Journal of Food Composition and Analysis 2016, 49, 42–48. https://doi.org/10.1016/j.jfca.2016.04.001. in Journal of Food Composition and Analysis
Academic Press Inc Elsevier Science, San Diego..
https://hdl.handle.net/21.15107/rcub_cherry_3359
Radovanović A, Jovančićević B, Arsić B, Radovanović B, Gojković-Bukarica L. Supplementary material for the article: Radovanovic, A.; Jovancicevic, B.; Arsic, B.; Radovanovic, B.; Bukarica, L. G. Application of Non-Supervised Pattern Recognition Techniques to Classify Cabernet Sauvignon Wines from the Balkan Region Based on Individual Phenolic Compounds. Journal of Food Composition and Analysis 2016, 49, 42–48. https://doi.org/10.1016/j.jfca.2016.04.001. in Journal of Food Composition and Analysis. 2016;.
https://hdl.handle.net/21.15107/rcub_cherry_3359 .
Radovanović, Aleksandra, Jovančićević, Branimir, Arsić, Biljana, Radovanović, Blaga, Gojković-Bukarica, Ljiliana, "Supplementary material for the article: Radovanovic, A.; Jovancicevic, B.; Arsic, B.; Radovanovic, B.; Bukarica, L. G. Application of Non-Supervised Pattern Recognition Techniques to Classify Cabernet Sauvignon Wines from the Balkan Region Based on Individual Phenolic Compounds. Journal of Food Composition and Analysis 2016, 49, 42–48. https://doi.org/10.1016/j.jfca.2016.04.001" in Journal of Food Composition and Analysis (2016),
https://hdl.handle.net/21.15107/rcub_cherry_3359 .

Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds

Radovanović, Aleksandra; Jovančićević, Branimir; Arsić, Biljana; Radovanović, Blaga; Gojković-Bukarica, Ljiliana

(Academic Press Inc Elsevier Science, San Diego, 2016)

TY  - JOUR
AU  - Radovanović, Aleksandra
AU  - Jovančićević, Branimir
AU  - Arsić, Biljana
AU  - Radovanović, Blaga
AU  - Gojković-Bukarica, Ljiliana
PY  - 2016
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/2262
AB  - Phenolic compounds in sixteen Cabernet Sauvignon wines from different wine-growing sub-regions in the Balkan region were investigated using HPLC with DAD and fluorescence detector and spectroscopic analysis, as well as statistical PC/F and cluster analysis. The HPLC analysis of investigated red wines showed that the content of total hydroxybenzoic acids, detected at 280 nm, was the highest in wines from Tikves wine-growing subregion, Macedonia (127-140 mg L-1). Total hydroxycinnamic acids, detected at 320 nm, were the highest in wines from Zupa wine-growing subregion, Serbia (43-45 mg L-1). The concentration of total flavonoids (flavan-3-ols, flavonols, flavons and flavanon), detected at 280, 360 and 322/275 nm, respectively, was the highest in wine from Katarzyna Estate wine-growing subregion, Bulgaria (167 mg L-1). Finally, the concentration of total anthocyanins, detected at 520 nm, was the highest in wine from Sumadija wine-growing subregion, Serbia (1463 mg L-1). The results of PCA and cluster analysis together confirmed that the content of phenolic compounds in Cabernet Sauvignon wines depends on agro-climatic factors, oenological practice in different wineries and the growing season in the Balkan region that were investigated. The areas in the Balkan region in this study with similar agro-climatic characteristics showed shorter clustering distance, indicating similar phenol profiling in the red wines tested. (C) 2016 Elsevier Inc. All rights reserved.
PB  - Academic Press Inc Elsevier Science, San Diego
T2  - Journal of Food Composition and Analysis
T1  - Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds
VL  - 49
SP  - 42
EP  - 48
DO  - 10.1016/j.jfca.2016.04.001
ER  - 
@article{
author = "Radovanović, Aleksandra and Jovančićević, Branimir and Arsić, Biljana and Radovanović, Blaga and Gojković-Bukarica, Ljiliana",
year = "2016",
abstract = "Phenolic compounds in sixteen Cabernet Sauvignon wines from different wine-growing sub-regions in the Balkan region were investigated using HPLC with DAD and fluorescence detector and spectroscopic analysis, as well as statistical PC/F and cluster analysis. The HPLC analysis of investigated red wines showed that the content of total hydroxybenzoic acids, detected at 280 nm, was the highest in wines from Tikves wine-growing subregion, Macedonia (127-140 mg L-1). Total hydroxycinnamic acids, detected at 320 nm, were the highest in wines from Zupa wine-growing subregion, Serbia (43-45 mg L-1). The concentration of total flavonoids (flavan-3-ols, flavonols, flavons and flavanon), detected at 280, 360 and 322/275 nm, respectively, was the highest in wine from Katarzyna Estate wine-growing subregion, Bulgaria (167 mg L-1). Finally, the concentration of total anthocyanins, detected at 520 nm, was the highest in wine from Sumadija wine-growing subregion, Serbia (1463 mg L-1). The results of PCA and cluster analysis together confirmed that the content of phenolic compounds in Cabernet Sauvignon wines depends on agro-climatic factors, oenological practice in different wineries and the growing season in the Balkan region that were investigated. The areas in the Balkan region in this study with similar agro-climatic characteristics showed shorter clustering distance, indicating similar phenol profiling in the red wines tested. (C) 2016 Elsevier Inc. All rights reserved.",
publisher = "Academic Press Inc Elsevier Science, San Diego",
journal = "Journal of Food Composition and Analysis",
title = "Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds",
volume = "49",
pages = "42-48",
doi = "10.1016/j.jfca.2016.04.001"
}
Radovanović, A., Jovančićević, B., Arsić, B., Radovanović, B.,& Gojković-Bukarica, L.. (2016). Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds. in Journal of Food Composition and Analysis
Academic Press Inc Elsevier Science, San Diego., 49, 42-48.
https://doi.org/10.1016/j.jfca.2016.04.001
Radovanović A, Jovančićević B, Arsić B, Radovanović B, Gojković-Bukarica L. Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds. in Journal of Food Composition and Analysis. 2016;49:42-48.
doi:10.1016/j.jfca.2016.04.001 .
Radovanović, Aleksandra, Jovančićević, Branimir, Arsić, Biljana, Radovanović, Blaga, Gojković-Bukarica, Ljiliana, "Application of non-supervised pattern recognition techniques to classify Cabernet Sauvignon wines from the Balkan region based on individual phenolic compounds" in Journal of Food Composition and Analysis, 49 (2016):42-48,
https://doi.org/10.1016/j.jfca.2016.04.001 . .
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Determination of trans- and cis-Resveratrol in Serbian Commercial Wines

Cvejic, Jelena M.; Djekic, Sanja V.; Petrović, Aleksandar; Atanackovic, Milica T.; Jović, Slobodan M.; Brčeski, Ilija; Gojković-Bukarica, Ljiliana

(Preston Publ Inc, Niles, 2010)

TY  - JOUR
AU  - Cvejic, Jelena M.
AU  - Djekic, Sanja V.
AU  - Petrović, Aleksandar
AU  - Atanackovic, Milica T.
AU  - Jović, Slobodan M.
AU  - Brčeski, Ilija
AU  - Gojković-Bukarica, Ljiliana
PY  - 2010
UR  - https://cherry.chem.bg.ac.rs/handle/123456789/1055
PB  - Preston Publ Inc, Niles
T2  - Journal of Chromatographic Science
T1  - Determination of trans- and cis-Resveratrol in Serbian Commercial Wines
VL  - 48
IS  - 3
SP  - 229
EP  - 234
DO  - 10.1093/chromsci/48.3.229
ER  - 
@article{
author = "Cvejic, Jelena M. and Djekic, Sanja V. and Petrović, Aleksandar and Atanackovic, Milica T. and Jović, Slobodan M. and Brčeski, Ilija and Gojković-Bukarica, Ljiliana",
year = "2010",
publisher = "Preston Publ Inc, Niles",
journal = "Journal of Chromatographic Science",
title = "Determination of trans- and cis-Resveratrol in Serbian Commercial Wines",
volume = "48",
number = "3",
pages = "229-234",
doi = "10.1093/chromsci/48.3.229"
}
Cvejic, J. M., Djekic, S. V., Petrović, A., Atanackovic, M. T., Jović, S. M., Brčeski, I.,& Gojković-Bukarica, L.. (2010). Determination of trans- and cis-Resveratrol in Serbian Commercial Wines. in Journal of Chromatographic Science
Preston Publ Inc, Niles., 48(3), 229-234.
https://doi.org/10.1093/chromsci/48.3.229
Cvejic JM, Djekic SV, Petrović A, Atanackovic MT, Jović SM, Brčeski I, Gojković-Bukarica L. Determination of trans- and cis-Resveratrol in Serbian Commercial Wines. in Journal of Chromatographic Science. 2010;48(3):229-234.
doi:10.1093/chromsci/48.3.229 .
Cvejic, Jelena M., Djekic, Sanja V., Petrović, Aleksandar, Atanackovic, Milica T., Jović, Slobodan M., Brčeski, Ilija, Gojković-Bukarica, Ljiliana, "Determination of trans- and cis-Resveratrol in Serbian Commercial Wines" in Journal of Chromatographic Science, 48, no. 3 (2010):229-234,
https://doi.org/10.1093/chromsci/48.3.229 . .
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