Optimization of Biofilm Formation: Influence of Temperature, pH, and Incubation Time in a Factorial Experimental Framework

Biofilms play a crucial role in microbial ecology, healthcare, and industrial applications, necessitating precise control over their formation. This study investigates biofilm development under varying environmental conditions, specifically temperature (25°C–45°C), pH (5.0–9.0), and incubation time (12–48 hours), using a factorial experimental design. Statistical analyses reveal that all three factors significantly influence biofilm growth (p < 0.0001), with maximum biofilm density observed at 37°C, pH 7.0, and 36 hours of incubation. Deviation from optimal conditions leads to substantial inhibition, with biofilm density decreasing by 30% at 25°C and over 50% at 45°C. Acidic (pH 5.0) and alkaline (pH 9.0) environments reduce biofilm formation to 40% and 35% of its peak density, respectively. The growth rate stabilizes beyond 36 hours, showing only a 5% increase thereafter. The predictive model demonstrates high accuracy (R² = 98.3%), highlighting its robustness for optimizing biofilm conditions. These findings have significant implications for biofilm regulation in industries such as wastewater treatment, bioreactor optimization, and medical device sterilization. Future research should explore additional environmental parameters, such as nutrient concentration and microbial diversity, to further refine biofilm management strategies. Keywords: Biofilm formation; Environmental optimization; Factorial experimental design; Microbial growth dynamics; Temperature and pH effects; Industrial biofilm regulation.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-15
DOI
https://doi.org/10.55041/ijsrem44402
Primary Topic
Odor and Emission Control Technologies
Type
article
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article

Optimization of Biofilm Formation: Influence of Temperature, pH, and Incubation Time in a Factorial Experimental Framework

R. Roy, Dhruvesh Patel
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Odor and Emission Control Technologies
article

Optimization of Biofilm Formation: Influence of Temperature, pH, and Incubation Time in a Factorial Experimental Framework

R. Roy, Dhruvesh Patel
article en

Abstract

Biofilms play a crucial role in microbial ecology, healthcare, and industrial applications, necessitating precise control over their formation. This study investigates biofilm development under varying environmental conditions, specifically temperature (25°C–45°C), pH (5.0–9.0), and incubation time (12–48 hours), using a factorial experimental design. Statistical analyses reveal that all three factors significantly influence biofilm growth (p < 0.0001), with maximum biofilm density observed at 37°C, pH 7.0, and 36 hours of incubation. Deviation from optimal conditions leads to substantial inhibition, with biofilm density decreasing by 30% at 25°C and over 50% at 45°C. Acidic (pH 5.0) and alkaline (pH 9.0) environments reduce biofilm formation to 40% and 35% of its peak density, respectively. The growth rate stabilizes beyond 36 hours, showing only a 5% increase thereafter. The predictive model demonstrates high accuracy (R² = 98.3%), highlighting its robustness for optimizing biofilm conditions. These findings have significant implications for biofilm regulation in industries such as wastewater treatment, bioreactor optimization, and medical device sterilization. Future research should explore additional environmental parameters, such as nutrient concentration and microbial diversity, to further refine biofilm management strategies. Keywords: Biofilm formation; Environmental optimization; Factorial experimental design; Microbial growth dynamics; Temperature and pH effects; Industrial biofilm regulation.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
Openalex Percentile: Top 94%
Odor and Emission Control Technologies
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Optimization of Biofilm Formation: Influence of Temperature, pH, and Incubation Time in a Factorial Experimental Framework — R. Roy, Dhruvesh Patel · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2025) | TGRS Research Map | TGRS