The Monod model is the universally favoured mathematical model of bacterial growth
While the Monod model has traditionally been widely applied as a standard baseline for bacterial growth kinetics, it is far from universally favoured; various modern studies frequently employ alternative models like Haldane, Edward, or bioenergetic optimization approaches to better account for substrate inhibition and metabolic constraints.
The claim states that the Monod model is the 'universally favoured' mathematical model of bacterial growth. While several papers ([3], [4], [5], [7]) acknowledge its widespread historical and practical application, others demonstrate that it is frequently outperformed by or replaced with alternative models (such as Haldane, Edward, or optimization frameworks) depending on conditions like substrate inhibition or mass transfer ([0], [8], [9]). Therefore, the claim of universal favour is inaccurate, making CONTESTED the correct verdict.
The Monod model is widely applied as a standard baseline for bacterial growth kinetics, though alternative models are also frequently employed.
H. Zeng, A. Yang. Bridging substrate intake kinetics and bacterial growth phenotypes with flux balance analysis incorporating proteome allocation. 2020. https://doi.org/10.1038/s41598-020-61174-0
Paper [3] notes that empirical kinetic models such as the Monod equation have been widely applied to relate cell growth with substrate availability.
J. J. Vallino, C. S. Hopkinson, J. E. Hobbie. Modeling bacterial utilization of dissolved organic matter: Optimization replaces Monod growth kinetics. 1996. https://doi.org/10.4319/lo.1996.41.8.1591
Paper [0] develops an optimization-based bioenergetic model that avoids Monod-type kinetics, arguing that optimization approaches provide more comprehensive information on bacterial growth.
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A. Tsipa, C. K. Varnava, P. Grenni, V. Ferrara, A. Pietrelli. Bio-Electrochemical System Depollution Capabilities and Monitoring Applications: Models, Applicability, Advanced Bio-Based Concept for Predicting Pollutant Degradation and Microbial Growth Kinetics via Gene Regulation Modelling. 2021. https://doi.org/10.3390/PR9061038
Paper [4] discusses the traditional and widespread use of empirical and unstructured Monod and Monod-type models in microbial growth kinetics.
Satoshi Okabe, Akimichi Kamizono, Seiya Kawasaki, Kanae Kobayashi, Mamoru Oshiki. Interspecific competition and adaptation of anammox bacteria at different salinities: Experimental validation of the Monod growth model with salinity inhibition.. 2024. https://doi.org/10.1016/j.watres.2024.122883
Paper [5] successfully utilizes the Monod growth model to predict species dominance during interspecific competition of anammox bacteria.
A. Abubakar, Zahra Soltanifar, Yusufu Luka, Emem Udoh, Mamoudou Hamadou. Analysis of Microbial Growth Models for Microorganisms in Chicken Manure Digester. 2021. https://doi.org/10.55529/ijrise.12.1.24
Paper [7] demonstrates that the basic Monod equation successfully fits experimental microbial counts and growth rates in organic digester sludge.
S. Alias, M. Omar, N. Hussain, N. Mohd-Kamil, S. Abdul-Talib. Kinetics of Benzo(a)pyrene biodegradation and bacterial growth in sandy soil by Sphingobacterium spiritovorum. 2022. https://doi.org/10.1016/j.heliyon.2022.e10799
Paper [8] finds that alternative growth models such as Haldane and Edward fit soil biodegradation kinetics better than the standard Monod model due to substrate inhibition effects.
O. F. Chidiebere, Okolotu Godspower Ikechukwu, W. C. Ulakpa, S. Karuppannan. Application of Monod Equation and First‐Order Rate Kinetics for the Calculation of Crude Oil Concentration Along Depths of Stagnant Freshwater and Saltwater Media. 2025. https://doi.org/10.1155/ijce/7780310
Paper [9] shows that a diffusion model utilizing first-order rate kinetics provided a superior fit to experimental data compared to the Monod equation.
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