Inhibitory effect of thyme and cinnamon essential oils on Aspergillus flavus: Optimization and activity prediction model development
Samo za registrovane korisnike
2015
Autori
Rajković, KatarinaPekmezović, Marina
Barac, Aleksandra
Nikodinović-Runić, Jasmina
Arsić-Arsenijević, Valentina
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
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.
Ključne reči:
Thymus vulgaris / Response surface methodology (RSM) / Cinnamomum cassia / Aspergillus jiavus / Artificial neural network (ANN)Izvor:
Industrial Crops and Products, 2015, 65, 7-13Izdavač:
- Elsevier Science Bv, Amsterdam
Finansiranje / projekti:
- Značaj dokazivanja ranih laboratorijskih biomarkera za ishod invazivnih gljivičnih infekcija kod nas (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
Institucija/grupa
Institut za molekularnu genetiku i genetičko inženjerstvoTY - JOUR AU - Rajković, Katarina AU - Pekmezović, Marina AU - Barac, Aleksandra AU - Nikodinović-Runić, Jasmina AU - Arsić-Arsenijević, Valentina PY - 2015 UR - https://imagine.imgge.bg.ac.rs/handle/123456789/859 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 EP - 13 SP - 7 VL - 65 DO - 10.1016/j.indcrop.2014.11.039 ER -
@article{ author = "Rajković, Katarina and Pekmezović, Marina and Barac, Aleksandra and Nikodinović-Runić, Jasmina and Arsić-Arsenijević, Valentina", 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", pages = "13-7", volume = "65", doi = "10.1016/j.indcrop.2014.11.039" }
Rajković, K., Pekmezović, M., Barac, A., Nikodinović-Runić, J.,& Arsić-Arsenijević, V.. (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 K, Pekmezović M, Barac A, Nikodinović-Runić J, Arsić-Arsenijević V. 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, Pekmezović, Marina, Barac, Aleksandra, Nikodinović-Runić, Jasmina, Arsić-Arsenijević, Valentina, "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 . .