Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | Artículo científico |
| Lenguaje: | en |
| Publicado: |
Extremophiles : life under extreme conditions
2026
|
| Materias: | |
| Acceso en línea: | https://pubmed.ncbi.nlm.nih.gov/41995895/ |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1868266059510841345 |
|---|---|
| author | Khan, Sikandar Akhoundian, Maryam Fu, Pengcheng |
| author_facet | Khan, Sikandar Akhoundian, Maryam Fu, Pengcheng Khan, Sikandar Akhoundian, Maryam Fu, Pengcheng |
| collection | PubMed - marine biology |
| contents | Fe-driven ROS mitigation in Leptolyngbya JSC-1: optimizing growth using response surface method. Khan, Sikandar Akhoundian, Maryam Fu, Pengcheng Iron Cyanobacteria Reactive Oxygen Species Models, Biological Leptolyngbya JSC-1 is a thermophilic and siderophilic cyanobacterium inhabiting iron-rich hot springs. Response surface method (RSM) is being reported for the first time for optimizing growth conditions of this thermophilic and siderophilic cyanobacterium. Using response surface quadratic model of Box-Behnken design, optimal culture conditions (A: temperature, 45 °C; B: Fe concentration, 42 µM; and C: light intensity, 2000 lx which is equivalent to 27 µmol photons m⁻² s⁻¹ intensity of cool white fluorescent lamp) were determined. The significant model terms were found to be B, AB, A, B, and C. The model R value (coefficient of determination) was 0.939, suggesting that the fitted model could explain 93.9% of the total variation. Both the predicted response (OD = 2.133) and experimental response (OD = 2.1) were in proximity, suggested the appropriateness of the model and RSM. Moreover, an unusual inverse proportion was observed between the Fe concentration and ROS generation with the least ROS generation in JSC-1 grown with 42 µM Fe concentration. Hence, RSM allows evaluating the effects of multiple factors and their interactions on one or more response variables and is recommended to be used for multifactorial optimization studies. |
| format | Artículo científico |
| id | pubmed_41995895 |
| institution | PubMed |
| language | en |
| publishDate | 2026 |
| publisher | Extremophiles : life under extreme conditions |
| record_format | pubmed |
| spellingShingle | Fe-driven ROS mitigation in Leptolyngbya JSC-1: optimizing growth using response surface method. Khan, Sikandar Akhoundian, Maryam Fu, Pengcheng Iron Cyanobacteria Reactive Oxygen Species Models, Biological Fe-driven ROS mitigation in Leptolyngbya JSC-1: optimizing growth using response surface method. Khan, Sikandar Akhoundian, Maryam Fu, Pengcheng Iron Cyanobacteria Reactive Oxygen Species Models, Biological Leptolyngbya JSC-1 is a thermophilic and siderophilic cyanobacterium inhabiting iron-rich hot springs. Response surface method (RSM) is being reported for the first time for optimizing growth conditions of this thermophilic and siderophilic cyanobacterium. Using response surface quadratic model of Box-Behnken design, optimal culture conditions (A: temperature, 45 °C; B: Fe concentration, 42 µM; and C: light intensity, 2000 lx which is equivalent to 27 µmol photons m⁻² s⁻¹ intensity of cool white fluorescent lamp) were determined. The significant model terms were found to be B, AB, A, B, and C. The model R value (coefficient of determination) was 0.939, suggesting that the fitted model could explain 93.9% of the total variation. Both the predicted response (OD = 2.133) and experimental response (OD = 2.1) were in proximity, suggested the appropriateness of the model and RSM. Moreover, an unusual inverse proportion was observed between the Fe concentration and ROS generation with the least ROS generation in JSC-1 grown with 42 µM Fe concentration. Hence, RSM allows evaluating the effects of multiple factors and their interactions on one or more response variables and is recommended to be used for multifactorial optimization studies. |
| title | Fe-driven ROS mitigation in Leptolyngbya JSC-1: optimizing growth using response surface method. |
| topic | Iron Cyanobacteria Reactive Oxygen Species Models, Biological |
| url | https://pubmed.ncbi.nlm.nih.gov/41995895/ |