Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1
Microbial transformation is a biological process during which microorganisms transform organic molecules. Nitrofurazone is widely applied in poultry and aquaculture veterinary drugs. Without appropriate treatment, nitrofurazone residue from agriculture animal waste may have a negative impact on micr...
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University of Malaya
2022
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2-s2.0-85129302240 Zulkifle N.T.; Khalil K.A.; Safian M.F.; Saat M.N.; Ariffin Z.Z. Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 2022 Asia-Pacific Journal of Molecular Biology and Biotechnology 30 1 10.35118/apjmbb.2022.030.1.05 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129302240&doi=10.35118%2fapjmbb.2022.030.1.05&partnerID=40&md5=c2b16139a3fdfb91f218699e85ef7a59 Microbial transformation is a biological process during which microorganisms transform organic molecules. Nitrofurazone is widely applied in poultry and aquaculture veterinary drugs. Without appropriate treatment, nitrofurazone residue from agriculture animal waste may have a negative impact on microorganisms. Thus, a study to enhance nitrofurazone degradation using local Aspergillus tamarii KX610719.1 was explored by optimizing the selected parameters. The specific aims of the exploration were: 1) to optimize parameters (pH, temperature and agitation speed) for nitrofurazone degradation rate, 2) to determine the nitrofurazone residue using a High-Performance Liquid Chromatography-diode array detector (HPLC-DAD), 3) to verify the optimum parameters performance in degrading nitrofurazone. Response Surface Methodology (RSM) based on Central Composite Design (CCD) was employed to analyze and optimize the effect of parameters as independent parameters on the nitrofurazone degradation rate as the response function. The interaction effects and optimum parameters were obtained using Design Expert Version 13.0 software (Stat Ease, Inc., Minneapolis, USA). The adequacy of the model test was determined using statistical analysis of variance (ANOVA) with a 95% confidence level, which demonstrated satisfactory agreement between the experimental data and the predicted model. The results demonstrate that the optimum conditions for nitrofurazone degradation rate were at the pH value (4.80), temperature (35.84 ºC) and agitation speed (121.33 rpm) with a coefficient of determination, R2 of 0.9612. Based on the verification process, the actual and predicted results was did not significantly differ (P <0.01). A. tamarii KX610719.1 showed a great ability in degrading nitrofurazone under optimum parameters. © 2022, University of Malaya. All rights reserved. University of Malaya 1287451 English Article All Open Access; Gold Open Access |
author |
Zulkifle N.T.; Khalil K.A.; Safian M.F.; Saat M.N.; Ariffin Z.Z. |
spellingShingle |
Zulkifle N.T.; Khalil K.A.; Safian M.F.; Saat M.N.; Ariffin Z.Z. Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
author_facet |
Zulkifle N.T.; Khalil K.A.; Safian M.F.; Saat M.N.; Ariffin Z.Z. |
author_sort |
Zulkifle N.T.; Khalil K.A.; Safian M.F.; Saat M.N.; Ariffin Z.Z. |
title |
Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
title_short |
Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
title_full |
Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
title_fullStr |
Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
title_full_unstemmed |
Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
title_sort |
Optimization of nitrofurazone degradation by local Aspergillus tamarii KX610719.1 |
publishDate |
2022 |
container_title |
Asia-Pacific Journal of Molecular Biology and Biotechnology |
container_volume |
30 |
container_issue |
1 |
doi_str_mv |
10.35118/apjmbb.2022.030.1.05 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129302240&doi=10.35118%2fapjmbb.2022.030.1.05&partnerID=40&md5=c2b16139a3fdfb91f218699e85ef7a59 |
description |
Microbial transformation is a biological process during which microorganisms transform organic molecules. Nitrofurazone is widely applied in poultry and aquaculture veterinary drugs. Without appropriate treatment, nitrofurazone residue from agriculture animal waste may have a negative impact on microorganisms. Thus, a study to enhance nitrofurazone degradation using local Aspergillus tamarii KX610719.1 was explored by optimizing the selected parameters. The specific aims of the exploration were: 1) to optimize parameters (pH, temperature and agitation speed) for nitrofurazone degradation rate, 2) to determine the nitrofurazone residue using a High-Performance Liquid Chromatography-diode array detector (HPLC-DAD), 3) to verify the optimum parameters performance in degrading nitrofurazone. Response Surface Methodology (RSM) based on Central Composite Design (CCD) was employed to analyze and optimize the effect of parameters as independent parameters on the nitrofurazone degradation rate as the response function. The interaction effects and optimum parameters were obtained using Design Expert Version 13.0 software (Stat Ease, Inc., Minneapolis, USA). The adequacy of the model test was determined using statistical analysis of variance (ANOVA) with a 95% confidence level, which demonstrated satisfactory agreement between the experimental data and the predicted model. The results demonstrate that the optimum conditions for nitrofurazone degradation rate were at the pH value (4.80), temperature (35.84 ºC) and agitation speed (121.33 rpm) with a coefficient of determination, R2 of 0.9612. Based on the verification process, the actual and predicted results was did not significantly differ (P <0.01). A. tamarii KX610719.1 showed a great ability in degrading nitrofurazone under optimum parameters. © 2022, University of Malaya. All rights reserved. |
publisher |
University of Malaya |
issn |
1287451 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678480708730880 |