A comprehensive study of parameters correlated with honey health benefits
2021
Аутори
Marić, AleksandarJovanov, Pavle
Sakač, Marijana
Novaković, Aleksandra
Hadnadev, Miroslav
Pezo, Lato
Mandić, Anamarija
Milicević, Nataša
Durović, Ana
Gadzurić, Slobodan
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
One hundred honey samples of different floral origin (acacia, sunflower, meadow, and forest) collected from nine European countries (Serbia, Albania, Croatia, Montenegro, Romania, Bulgaria, Bosnia and Herzegovina, North Macedonia and Hungary) were analysed for various physicochemical, sensory, antioxidant and antibacterial parameters. The relative antioxidant capacity index and relative antibacterial index were calculated, integrated and expressed as a new property - Power of Honey, intended to be used to predict the health potential of a honey based on its antioxidant and antibacterial activities. Free acidity and colour coordinates L* and a* were chosen for building an artificial neural network model for the prediction of honey health potential. These were chosen based on the obtained correlations between the investigated parameters and in light of the simplicity of the analysis. This model successfully predicted the Power of Honey with a gained coefficient of determination of 0.856.... Forest honey samples exhibited the highest Power of Honey. This novel approach should make it possible for honey producers to predict the honey health potential of a particular honey based on a quick and simple analysis.
Извор:
RSC Advances, 2021, 11, 20, 12434-12441Издавач:
- The Royal Society of Chemistry
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200222 (Институт за прехрамбене технологије, Нови Сад) (RS-MESTD-inst-2020-200222)
DOI: 10.1039/d0ra10887a
ISSN: 2046-2069
PubMed: 35423727
WoS: 000634931200064
Scopus: 2-s2.0-85103490381
Институција/група
Institut za opštu i fizičku hemijuTY - JOUR AU - Marić, Aleksandar AU - Jovanov, Pavle AU - Sakač, Marijana AU - Novaković, Aleksandra AU - Hadnadev, Miroslav AU - Pezo, Lato AU - Mandić, Anamarija AU - Milicević, Nataša AU - Durović, Ana AU - Gadzurić, Slobodan PY - 2021 UR - https://riofh.iofh.bg.ac.rs/handle/123456789/795 AB - One hundred honey samples of different floral origin (acacia, sunflower, meadow, and forest) collected from nine European countries (Serbia, Albania, Croatia, Montenegro, Romania, Bulgaria, Bosnia and Herzegovina, North Macedonia and Hungary) were analysed for various physicochemical, sensory, antioxidant and antibacterial parameters. The relative antioxidant capacity index and relative antibacterial index were calculated, integrated and expressed as a new property - Power of Honey, intended to be used to predict the health potential of a honey based on its antioxidant and antibacterial activities. Free acidity and colour coordinates L* and a* were chosen for building an artificial neural network model for the prediction of honey health potential. These were chosen based on the obtained correlations between the investigated parameters and in light of the simplicity of the analysis. This model successfully predicted the Power of Honey with a gained coefficient of determination of 0.856. Forest honey samples exhibited the highest Power of Honey. This novel approach should make it possible for honey producers to predict the honey health potential of a particular honey based on a quick and simple analysis. PB - The Royal Society of Chemistry T2 - RSC Advances T1 - A comprehensive study of parameters correlated with honey health benefits EP - 12441 IS - 20 SP - 12434 VL - 11 DO - 10.1039/d0ra10887a UR - conv_919 ER -
@article{ author = "Marić, Aleksandar and Jovanov, Pavle and Sakač, Marijana and Novaković, Aleksandra and Hadnadev, Miroslav and Pezo, Lato and Mandić, Anamarija and Milicević, Nataša and Durović, Ana and Gadzurić, Slobodan", year = "2021", abstract = "One hundred honey samples of different floral origin (acacia, sunflower, meadow, and forest) collected from nine European countries (Serbia, Albania, Croatia, Montenegro, Romania, Bulgaria, Bosnia and Herzegovina, North Macedonia and Hungary) were analysed for various physicochemical, sensory, antioxidant and antibacterial parameters. The relative antioxidant capacity index and relative antibacterial index were calculated, integrated and expressed as a new property - Power of Honey, intended to be used to predict the health potential of a honey based on its antioxidant and antibacterial activities. Free acidity and colour coordinates L* and a* were chosen for building an artificial neural network model for the prediction of honey health potential. These were chosen based on the obtained correlations between the investigated parameters and in light of the simplicity of the analysis. This model successfully predicted the Power of Honey with a gained coefficient of determination of 0.856. Forest honey samples exhibited the highest Power of Honey. This novel approach should make it possible for honey producers to predict the honey health potential of a particular honey based on a quick and simple analysis.", publisher = "The Royal Society of Chemistry", journal = "RSC Advances", title = "A comprehensive study of parameters correlated with honey health benefits", pages = "12441-12434", number = "20", volume = "11", doi = "10.1039/d0ra10887a", url = "conv_919" }
Marić, A., Jovanov, P., Sakač, M., Novaković, A., Hadnadev, M., Pezo, L., Mandić, A., Milicević, N., Durović, A.,& Gadzurić, S.. (2021). A comprehensive study of parameters correlated with honey health benefits. in RSC Advances The Royal Society of Chemistry., 11(20), 12434-12441. https://doi.org/10.1039/d0ra10887a conv_919
Marić A, Jovanov P, Sakač M, Novaković A, Hadnadev M, Pezo L, Mandić A, Milicević N, Durović A, Gadzurić S. A comprehensive study of parameters correlated with honey health benefits. in RSC Advances. 2021;11(20):12434-12441. doi:10.1039/d0ra10887a conv_919 .
Marić, Aleksandar, Jovanov, Pavle, Sakač, Marijana, Novaković, Aleksandra, Hadnadev, Miroslav, Pezo, Lato, Mandić, Anamarija, Milicević, Nataša, Durović, Ana, Gadzurić, Slobodan, "A comprehensive study of parameters correlated with honey health benefits" in RSC Advances, 11, no. 20 (2021):12434-12441, https://doi.org/10.1039/d0ra10887a ., conv_919 .