Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism

The present study aimed to assess the efficiency of silver bio-nanoparticles (Ag-NPs) in inactivating of the Aspergillus fumigatus, A. parasiticus and A. flavus var. columnaris and A. aculeatus spores. The AgNPs were syn�thesized in secondary metabolic products of Penicillium pedernalens 604 EAN....

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Main Authors: Nomand, Efaq, Al-Gheethi, Adel, Radin Mohamed, Radin Maya Saphira, Talip, Balkis, Othman, Norzila, Hossain, Sohrab, N. Vo, Dai-Viet, Alduais, Nayef
Format: Article
Language:English
Published: Elsevier 2022
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Online Access:http://eprints.uthm.edu.my/6883/1/J13392_33f2f46a617a3d0d9ad5ed7358186f0a.pdf
http://eprints.uthm.edu.my/6883/
https://doi.org/10.1016/j.envres.2021.111926
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spelling my.uthm.eprints.68832022-04-07T02:24:41Z http://eprints.uthm.edu.my/6883/ Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism Nomand, Efaq Al-Gheethi, Adel Radin Mohamed, Radin Maya Saphira Talip, Balkis Othman, Norzila Hossain, Sohrab N. Vo, Dai-Viet Alduais, Nayef TP Chemical technology The present study aimed to assess the efficiency of silver bio-nanoparticles (Ag-NPs) in inactivating of the Aspergillus fumigatus, A. parasiticus and A. flavus var. columnaris and A. aculeatus spores. The AgNPs were syn�thesized in secondary metabolic products of Penicillium pedernalens 604 EAN. The inactivation process was optimized by response surface methodology (RSM) as a function of Ag NPs volume (1–10 μL/mL); time (10–120 min); pH (5–8); initial fungal concentrations (log10) (3–6). The artificial neural network (ANN) model was used to understand the behavior of spores for the factors affecting inactivation process. The best conditions to ach�ieved SAL 10− 6 of the fungal spores were recorded with 3.46 μl/mL of AgNPs, after 120 min at pH 5 and with 6 log of initial fungal spore concentrations, at which 5.99 vs. 6.09 (SAL 10− 6 ) log reduction was recorded in actual and predicted results respectively with coefficient of 87.00%. The ANN revealed that the timehas major contribution in the inactivation process compare to Ag NPs volume. The fungal spores were totally inactivated (SAL 10− 6 , 6 log reduction with 99.9999%) after 110 min of the inactivation process, 10 min more was required to insure the irreversible inactivation of the fungal spores. The absence of protease and cellulase enzymes pro�duction confirm the total inactivation of the fungal spores. FESEM analysis revealed that the AgNPs which penetrated the fungal spores leading to damage and deform the fungal spore morphology. The AFM analysis confirmed the total spore surface damage. The bands in the range of the Raman spectroscopy from 1300 to 1600 cm− 1 in the inactivated spores indicate the presence of CH3, CH2 and the deformation of lipids released outside the spore cytoplasm. These finding indicate that the AgNPs has high potential as a green alternative inactivation process for the airborne fungal spores. Elsevier 2022 Article PeerReviewed text en http://eprints.uthm.edu.my/6883/1/J13392_33f2f46a617a3d0d9ad5ed7358186f0a.pdf Nomand, Efaq and Al-Gheethi, Adel and Radin Mohamed, Radin Maya Saphira and Talip, Balkis and Othman, Norzila and Hossain, Sohrab and N. Vo, Dai-Viet and Alduais, Nayef (2022) Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism. Environmental Research, 204. pp. 1-15. https://doi.org/10.1016/j.envres.2021.111926
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic TP Chemical technology
spellingShingle TP Chemical technology
Nomand, Efaq
Al-Gheethi, Adel
Radin Mohamed, Radin Maya Saphira
Talip, Balkis
Othman, Norzila
Hossain, Sohrab
N. Vo, Dai-Viet
Alduais, Nayef
Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
description The present study aimed to assess the efficiency of silver bio-nanoparticles (Ag-NPs) in inactivating of the Aspergillus fumigatus, A. parasiticus and A. flavus var. columnaris and A. aculeatus spores. The AgNPs were syn�thesized in secondary metabolic products of Penicillium pedernalens 604 EAN. The inactivation process was optimized by response surface methodology (RSM) as a function of Ag NPs volume (1–10 μL/mL); time (10–120 min); pH (5–8); initial fungal concentrations (log10) (3–6). The artificial neural network (ANN) model was used to understand the behavior of spores for the factors affecting inactivation process. The best conditions to ach�ieved SAL 10− 6 of the fungal spores were recorded with 3.46 μl/mL of AgNPs, after 120 min at pH 5 and with 6 log of initial fungal spore concentrations, at which 5.99 vs. 6.09 (SAL 10− 6 ) log reduction was recorded in actual and predicted results respectively with coefficient of 87.00%. The ANN revealed that the timehas major contribution in the inactivation process compare to Ag NPs volume. The fungal spores were totally inactivated (SAL 10− 6 , 6 log reduction with 99.9999%) after 110 min of the inactivation process, 10 min more was required to insure the irreversible inactivation of the fungal spores. The absence of protease and cellulase enzymes pro�duction confirm the total inactivation of the fungal spores. FESEM analysis revealed that the AgNPs which penetrated the fungal spores leading to damage and deform the fungal spore morphology. The AFM analysis confirmed the total spore surface damage. The bands in the range of the Raman spectroscopy from 1300 to 1600 cm− 1 in the inactivated spores indicate the presence of CH3, CH2 and the deformation of lipids released outside the spore cytoplasm. These finding indicate that the AgNPs has high potential as a green alternative inactivation process for the airborne fungal spores.
format Article
author Nomand, Efaq
Al-Gheethi, Adel
Radin Mohamed, Radin Maya Saphira
Talip, Balkis
Othman, Norzila
Hossain, Sohrab
N. Vo, Dai-Viet
Alduais, Nayef
author_facet Nomand, Efaq
Al-Gheethi, Adel
Radin Mohamed, Radin Maya Saphira
Talip, Balkis
Othman, Norzila
Hossain, Sohrab
N. Vo, Dai-Viet
Alduais, Nayef
author_sort Nomand, Efaq
title Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
title_short Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
title_full Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
title_fullStr Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
title_full_unstemmed Inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
title_sort inactivation of fungal spores from clinical environment by silver bio-nanoparticles; optimization, artificial neural network model and mechanism
publisher Elsevier
publishDate 2022
url http://eprints.uthm.edu.my/6883/1/J13392_33f2f46a617a3d0d9ad5ed7358186f0a.pdf
http://eprints.uthm.edu.my/6883/
https://doi.org/10.1016/j.envres.2021.111926
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