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Mechanistic Modeling of Photocatalytic Water Disinfection

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Advances in Photocatalytic Disinfection

Part of the book series: Green Chemistry and Sustainable Technology ((GCST))

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Abstract

In this chapter, conceptual and mechanistic models for water disinfection are discussed. The goal is to describe fundamental interactions between microbial cells and TiO2 catalyst suspensions, and the light-induced chemical species that ultimately lead to cell inactivation. A number of disinfection models have been developed to address the kinetics of these interactions and they are examined here. In general, photocatalytic disinfection data has been fitted to many empirical models. However, frequent deviations from such models have been widely reported. Although empirical models can be very useful, they do not allow designers to explicitly determine the overall influence of important parameters such as catalyst concentration, light intensity, ionic strength, and pH on the disinfection process. It is difficult to account for many of the complex interactions that occur during photocatalytic inactivation without over-fitting data with numerous parameters. A major benefit of a mechanistic model is the significant cost reduction associated with performing fewer preliminary experiments to determine the effectiveness of various factors. These may include, for example, catalyst concentration and light intensity for a given organism.

In our own work, we have proposed a model that is consistent with processes involving the attachment of titanium dioxide (TiO2) nanoparticles to the bacterial cell surface, the adsorption of inorganic salts to the TiO2 surface (inhibition phenomena), light propagation through the suspension, the quantum yield of hydroxyl radical generation, and cell surface oxidation. Unknown inactivation kinetic parameters were derived from the fits of experimental data. The good fit of the model to the experimental results indicates that high levels of inactivation can be achieved by maintaining a relatively low catalyst-to-microbe ratio while maximizing the light intensity at low to moderate ionic strength. These results and others from literature suggest that mechanistic modeling of photocatalytic disinfection should allow for predictive capability of this important process.

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Authors and Affiliations

  1. Algenol Biotech, Fort Myers, FL, USA

    O. Kofi Dalrymple

  2. Clean Energy Research Center, University of South Florida, Tampa, FL, USA

    D. Yogi Goswami

Authors
  1. O. Kofi Dalrymple
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  2. D. Yogi Goswami
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Correspondence to D. Yogi Goswami .

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Editors and Affiliations

  1. Institute of Environmental Health and Pollution Control, School of Environmental Science and Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China

    Taicheng An

  2. Centre for Clean Environment and Energy, Griffith University, Gold Coast, Queensland, Australia

    Huijun Zhao

  3. School of Life Science, The Chinese University of Hong Kong, Hong Kong SAR, China

    Po Keung Wong

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Dalrymple, O.K., Goswami, D.Y. (2017). Mechanistic Modeling of Photocatalytic Water Disinfection. In: An, T., Zhao, H., Wong, P. (eds) Advances in Photocatalytic Disinfection. Green Chemistry and Sustainable Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53496-0_13

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