Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology
This study is aimed at enhancing the biomass yield of Lactobacillus acidophilus CM1 by identifying and optimizing critical growth parameters. Using the Plackett–Burman design (PBD), 11 physical and chemical variables were screened, of which pH, temperature, NaCl concentration, and inoculum size were...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-01-01
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| Series: | International Journal of Food Science |
| Online Access: | http://dx.doi.org/10.1155/ijfo/5576637 |
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| author | Khushboo Rajput Amar Yasser Jassim Ameer Abbas Mohammed Abdel Rahman Mohammad Said Al-Tawaha Arun Karnwal Tabarak Malik |
| author_facet | Khushboo Rajput Amar Yasser Jassim Ameer Abbas Mohammed Abdel Rahman Mohammad Said Al-Tawaha Arun Karnwal Tabarak Malik |
| author_sort | Khushboo Rajput |
| collection | DOAJ |
| description | This study is aimed at enhancing the biomass yield of Lactobacillus acidophilus CM1 by identifying and optimizing critical growth parameters. Using the Plackett–Burman design (PBD), 11 physical and chemical variables were screened, of which pH, temperature, NaCl concentration, and inoculum size were found to significantly influence cell growth (p<0.05). These statistically significant factors were subsequently optimized using response surface methodology (RSM) with a central composite design (CCD). Optimization led to a 1.45-fold increase in biomass yield, achieving a maximum of 1.948 g/100 mL. ANOVA confirmed model validity with an R2 of 0.9689 and adequate precision of 52.77, indicating a strong predictive capability. The integration of PBD and RSM-CCD proved efficient for minimizing experimental runs while maximizing output, supporting the development of cost-effective cultivation strategies for probiotic production. This approach offers a scalable model for bioprocess optimization in industrial fermentation. |
| format | Article |
| id | doaj-art-58c9481a7dff4db6b6c46ddd46ec642c |
| institution | Kabale University |
| issn | 2314-5765 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Food Science |
| spelling | doaj-art-58c9481a7dff4db6b6c46ddd46ec642c2025-08-20T03:27:15ZengWileyInternational Journal of Food Science2314-57652025-01-01202510.1155/ijfo/5576637Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface MethodologyKhushboo Rajput0Amar Yasser Jassim1Ameer Abbas Mohammed2Abdel Rahman Mohammad Said Al-Tawaha3Arun Karnwal4Tabarak Malik5Department of MicrobiologyDepartment of Marine VertebrateDepartment of Marine VertebrateDepartment of Biological SciencesDepartment of MicrobiologyDepartment of Biomedical SciencesThis study is aimed at enhancing the biomass yield of Lactobacillus acidophilus CM1 by identifying and optimizing critical growth parameters. Using the Plackett–Burman design (PBD), 11 physical and chemical variables were screened, of which pH, temperature, NaCl concentration, and inoculum size were found to significantly influence cell growth (p<0.05). These statistically significant factors were subsequently optimized using response surface methodology (RSM) with a central composite design (CCD). Optimization led to a 1.45-fold increase in biomass yield, achieving a maximum of 1.948 g/100 mL. ANOVA confirmed model validity with an R2 of 0.9689 and adequate precision of 52.77, indicating a strong predictive capability. The integration of PBD and RSM-CCD proved efficient for minimizing experimental runs while maximizing output, supporting the development of cost-effective cultivation strategies for probiotic production. This approach offers a scalable model for bioprocess optimization in industrial fermentation.http://dx.doi.org/10.1155/ijfo/5576637 |
| spellingShingle | Khushboo Rajput Amar Yasser Jassim Ameer Abbas Mohammed Abdel Rahman Mohammad Said Al-Tawaha Arun Karnwal Tabarak Malik Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology International Journal of Food Science |
| title | Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology |
| title_full | Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology |
| title_fullStr | Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology |
| title_full_unstemmed | Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology |
| title_short | Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology |
| title_sort | statistical optimization of culture conditions for enhanced biomass yield of lactobacillus acidophilus cm1 using plackett burman and response surface methodology |
| url | http://dx.doi.org/10.1155/ijfo/5576637 |
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