Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design
Sequential optimization strategy based on statistical experimental design and one-factor-at-a-time (OFAT) method were employed to optimize the process parameters for the enhancement of silver nanoparticles (AgNPs) production through biological synthesis using Pycnoporus sanguineus. Based on the OFAT...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
2013
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| Online Access: | http://hdl.handle.net/20.500.11937/20597 |
| _version_ | 1848750350932115456 |
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| author | Chan, Stephanie Don, M. |
| author_facet | Chan, Stephanie Don, M. |
| author_sort | Chan, Stephanie |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Sequential optimization strategy based on statistical experimental design and one-factor-at-a-time (OFAT) method were employed to optimize the process parameters for the enhancement of silver nanoparticles (AgNPs) production through biological synthesis using Pycnoporus sanguineus. Based on the OFAT method, three significant components influencing the size of AgNPs produced were identified as AgNO3 concentration, incubation temperature, and agitation speed. The optimum values of these process parameter for the synthesis of AgNPs were determined using response surface methodology (RSM) based on Box-Behnken design. The validity of the model developed was verified, and the statistical analysis showed that the optimum operating conditions were 0.001 M of AgNO3, 38°C, and 200 rpm with the smallest AgNPs produced at 14.86 nm. The disc diffusion method also suggested that AgNPs produced using optimum conditions have higher antimicrobial activity compared to the unoptimized AgNPs. The present study developed a robust operating condition for the production of AgNPs by P. sanguineus, which was 8.6-fold smaller than that obtained from un-optimized conditions. |
| first_indexed | 2025-11-14T07:35:27Z |
| format | Journal Article |
| id | curtin-20.500.11937-20597 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:35:27Z |
| publishDate | 2013 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-205972017-09-13T13:48:57Z Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design Chan, Stephanie Don, M. Sequential optimization strategy based on statistical experimental design and one-factor-at-a-time (OFAT) method were employed to optimize the process parameters for the enhancement of silver nanoparticles (AgNPs) production through biological synthesis using Pycnoporus sanguineus. Based on the OFAT method, three significant components influencing the size of AgNPs produced were identified as AgNO3 concentration, incubation temperature, and agitation speed. The optimum values of these process parameter for the synthesis of AgNPs were determined using response surface methodology (RSM) based on Box-Behnken design. The validity of the model developed was verified, and the statistical analysis showed that the optimum operating conditions were 0.001 M of AgNO3, 38°C, and 200 rpm with the smallest AgNPs produced at 14.86 nm. The disc diffusion method also suggested that AgNPs produced using optimum conditions have higher antimicrobial activity compared to the unoptimized AgNPs. The present study developed a robust operating condition for the production of AgNPs by P. sanguineus, which was 8.6-fold smaller than that obtained from un-optimized conditions. 2013 Journal Article http://hdl.handle.net/20.500.11937/20597 10.1007/s13765-012-2177-3 restricted |
| spellingShingle | Chan, Stephanie Don, M. Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design |
| title | Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design |
| title_full | Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design |
| title_fullStr | Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design |
| title_full_unstemmed | Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design |
| title_short | Optimization of process variables for the synthesis of silver nanoparticles by Pycnoporus sanguineus using statistical experimental design |
| title_sort | optimization of process variables for the synthesis of silver nanoparticles by pycnoporus sanguineus using statistical experimental design |
| url | http://hdl.handle.net/20.500.11937/20597 |