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Shireen Akhter Jahan Q, Sultana Z, Ud-Daula MA, Md. Ashikuzzaman, Md. Shamim Reja, Rahman MM, Khaton A, Tang MAK, Rahman MS, Hossain Md. Faruquee, Lee SJ, Rahman AM. Optimization of green silver nanoparticles as nanofungicides for management of rice bakanae disease. Heliyon 2024; 10:e27579. [PMID: 38533066 PMCID: PMC10963222 DOI: 10.1016/j.heliyon.2024.e27579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 02/29/2024] [Accepted: 03/01/2024] [Indexed: 03/28/2024] Open
Abstract
Rice bakanae, a devastating seed-borne disease caused by Fusarium species requires a more attractive and eco-friendly management strategy. The optimization of plant-mediated silver nanoparticles (AgNPs) as nanofungicides by targeting Fusarium species may be a rational approach. In this study, Azadirachta indica leaf aqueous extract-based AgNPs (AiLAE-AgNPs) were synthesized through the optimization of three reaction parameters: A. indica leaf amount, plant extract-to-AgNO3 ratio (reactant ratio), and incubation time. The optimized green AgNPs were characterized using ultraviolet-visible light (UV-Vis) spectroscopy, field emission scanning electron microscopy (FESEM) with energy dispersive X-ray (EDX) spectroscopy, transmission electron microscopy (TEM), dynamic light scattering (DLS), and powder X-ray diffraction (XRD) techniques. The optimal conditions for producing spherical, unique, and diminutive-sized AgNPs ranging from 4 to 27 nm, with an average size of 15 nm, were 2 g AiLAE at a 1:19 ratio (extract-to-AgNO3) and incubated for 4 h. Fusarium isolates collected from infected soils and identified as F. fujikuroi (40) and F. proliferatum (58 and 65) by PCR were used for seed infestation. The AgNPs exhibited concentration-dependent mycelial growth inhibition with EC50 values ranging from 2.95 to 5.50 μg/mL. The AgNPs displayed exposure time-dependent seed disinfectant potential (complete CFU reduction in F. fujikuroi (40) and F. proliferatum (58) was observed at a concentration of 17.24 μg/mL). The optimized green AgNPs were non-toxic to germinating seeds, and completely cured bakanae under net-house conditions, suggesting their great nano-fungicidal potency for food security and sustainable agriculture.
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Affiliation(s)
| | - Ziniya Sultana
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
| | - Md. Asad Ud-Daula
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
| | - Md. Ashikuzzaman
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
| | - Md. Shamim Reja
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
| | - Md. Mahfuzur Rahman
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
| | - Amina Khaton
- Plant Pathology Division, Bangladesh Rice Research Institute, Gazipur, 1701, Bangladesh
| | - Md. Abul Kashem Tang
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
| | - M. Safiur Rahman
- Chemistry Division, Atomic Energy Centre (AECD), Bangladesh Atomic Energy Commission, Bangladesh
| | - Hossain Md. Faruquee
- Department of Biotechnology and Genetical Engineering, Islamic University, Kushtia, 7003, Bangladesh
| | - Seung Ju Lee
- Department of Food Science and Biotechnology, Dongguk University, Seoul, South Korea
| | - A.T.M. Mijanur Rahman
- Department of Applied Nutrition and Food Technology, Islamic University, Kushtia, 7003, Bangladesh
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Rahman MA, Rahman MS, Shakur SM, Howlader MH, Ashikuzzaman M, Husna AU, Khan B. Risk factors of chronic childhood malnutrition: an analysis of the Bangladesh demographic and health survey 2014 data. J Public Health (Oxf) 2022. [DOI: 10.1007/s10389-020-01281-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Islam R, Imran S, Ashikuzzaman M, Khan MMA. Detection and Classification of Brain Tumor Based on Multilevel Segmentation with Convolutional Neural Network. ACTA ACUST UNITED AC 2020. [DOI: 10.4236/jbise.2020.134004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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