Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development
Само за регистроване кориснике
2015
Аутори
Rajković, Katarina M.Pekmezović, Marina
Barac, Aleksandra
Nikodinović-Runić, Jasmina
Arsenijević, Valentina Arsic
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Antifungal effect of individual thyme (Thymus vulgaris L) and cinnamon (Cinnamomum cassia L.) essential oils (EOs) and mixture of thereof on Aspergillus flavus spores was investigated. In order to optimize the process variables (time of action, concentration of individual or mixture EOs and their mass ratio) for the antifungal effect of EO mixture, two models were developed: the response surface methodology (RSM) and artificial neural network (ANN) combined with genetic algorithm (GA). In RSM model, three factors were involved in Box-Behnken design that was applied for the experiment. Based on the mean relative percent deviation (MRPD), both models provided a good quality prediction for the antifungal effect in terms of all three process variables. RSM and ANN-GA techniques predicted the 0.5% as an optimum percentage concentration of EO mixture in EOs mass ratio T. vulgaris:C. cassia 1:1, ensuring the highest antifungal effect of 95.8% and 96.4% after 65 min. Both models were found use...ful for the optimization of the antifungal effect in vitro. ANN-GA was found more accurate in comparison to RSM due to its lower value of MRPD. Therefore, ANN-GA can be generally used for optimization and prediction of antimicrobial effects of 605 and their mixtures.
Кључне речи:
Artificial neural network (ANN) / Aspergillus jiavus / Cinnamomum cassia / Response surface methodology (RSM) / Thymus vulgarisИзвор:
Industrial Crops and Products, 2015, 65, 7-13Издавач:
- Elsevier Science Bv, Amsterdam
Финансирање / пројекти:
- Значај доказивања раних лабораторијских биомаркера за исход инвазивних гљивичних инфекција код нас (RS-MESTD-Basic Research (BR or ON)-175034)
DOI: 10.1016/j.indcrop.2014.11.039
ISSN: 0926-6690
WoS: 000349430000002
Scopus: 2-s2.0-84949119164
Колекције
Институција/група
Inovacioni centar / Innovation CentreTY - JOUR AU - Rajković, Katarina M. AU - Pekmezović, Marina AU - Barac, Aleksandra AU - Nikodinović-Runić, Jasmina AU - Arsenijević, Valentina Arsic PY - 2015 UR - https://cherry.chem.bg.ac.rs/handle/123456789/1656 AB - Antifungal effect of individual thyme (Thymus vulgaris L) and cinnamon (Cinnamomum cassia L.) essential oils (EOs) and mixture of thereof on Aspergillus flavus spores was investigated. In order to optimize the process variables (time of action, concentration of individual or mixture EOs and their mass ratio) for the antifungal effect of EO mixture, two models were developed: the response surface methodology (RSM) and artificial neural network (ANN) combined with genetic algorithm (GA). In RSM model, three factors were involved in Box-Behnken design that was applied for the experiment. Based on the mean relative percent deviation (MRPD), both models provided a good quality prediction for the antifungal effect in terms of all three process variables. RSM and ANN-GA techniques predicted the 0.5% as an optimum percentage concentration of EO mixture in EOs mass ratio T. vulgaris:C. cassia 1:1, ensuring the highest antifungal effect of 95.8% and 96.4% after 65 min. Both models were found useful for the optimization of the antifungal effect in vitro. ANN-GA was found more accurate in comparison to RSM due to its lower value of MRPD. Therefore, ANN-GA can be generally used for optimization and prediction of antimicrobial effects of 605 and their mixtures. PB - Elsevier Science Bv, Amsterdam T2 - Industrial Crops and Products T1 - Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development VL - 65 SP - 7 EP - 13 DO - 10.1016/j.indcrop.2014.11.039 ER -
@article{ author = "Rajković, Katarina M. and Pekmezović, Marina and Barac, Aleksandra and Nikodinović-Runić, Jasmina and Arsenijević, Valentina Arsic", year = "2015", abstract = "Antifungal effect of individual thyme (Thymus vulgaris L) and cinnamon (Cinnamomum cassia L.) essential oils (EOs) and mixture of thereof on Aspergillus flavus spores was investigated. In order to optimize the process variables (time of action, concentration of individual or mixture EOs and their mass ratio) for the antifungal effect of EO mixture, two models were developed: the response surface methodology (RSM) and artificial neural network (ANN) combined with genetic algorithm (GA). In RSM model, three factors were involved in Box-Behnken design that was applied for the experiment. Based on the mean relative percent deviation (MRPD), both models provided a good quality prediction for the antifungal effect in terms of all three process variables. RSM and ANN-GA techniques predicted the 0.5% as an optimum percentage concentration of EO mixture in EOs mass ratio T. vulgaris:C. cassia 1:1, ensuring the highest antifungal effect of 95.8% and 96.4% after 65 min. Both models were found useful for the optimization of the antifungal effect in vitro. ANN-GA was found more accurate in comparison to RSM due to its lower value of MRPD. Therefore, ANN-GA can be generally used for optimization and prediction of antimicrobial effects of 605 and their mixtures.", publisher = "Elsevier Science Bv, Amsterdam", journal = "Industrial Crops and Products", title = "Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development", volume = "65", pages = "7-13", doi = "10.1016/j.indcrop.2014.11.039" }
Rajković, K. M., Pekmezović, M., Barac, A., Nikodinović-Runić, J.,& Arsenijević, V. A.. (2015). Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development. in Industrial Crops and Products Elsevier Science Bv, Amsterdam., 65, 7-13. https://doi.org/10.1016/j.indcrop.2014.11.039
Rajković KM, Pekmezović M, Barac A, Nikodinović-Runić J, Arsenijević VA. Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development. in Industrial Crops and Products. 2015;65:7-13. doi:10.1016/j.indcrop.2014.11.039 .
Rajković, Katarina M., Pekmezović, Marina, Barac, Aleksandra, Nikodinović-Runić, Jasmina, Arsenijević, Valentina Arsic, "Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development" in Industrial Crops and Products, 65 (2015):7-13, https://doi.org/10.1016/j.indcrop.2014.11.039 . .