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Response surface methodology (RSM) for optimizing ozone-assisted process parameters for formaldehyde removal

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Abstract

Formaldehyde, a volatile organic compound (VOC), is one of the main gaseous pollutants from commercial cooking. The present study evaluated the effectiveness of a laboratory-scale ozone-assisted indirect plasma method for formaldehyde removal using response surface methodology (RSM). A dielectric barrier discharge (DBD) reactor was used for ozone generation. Inlet HCHO concentration, ozone concentration, and residence time were considered the design parameters, and formaldehyde removal efficiency (response 1) and energy yield (response 2) were considered response parameters. The optimized models showed a positive correlation between the predicted and experimental outcomes. Inlet ozone concentration, the most significant parameter in the removal efficiency model, represented a positive correlation with this response in most parts of the operating region. The optimal point with the highest desirability (i.e., D1 point) was obtained at the inlet HCHO concentration of 120 ppm, inlet ozone concentration of 40 ppm, and reaction time of 11.35 s within the parameter ranges studied, resulting in 64% removal efficiency and 2.64 g/kWh energy yield. At the point with the second highest desirability (D2), 100% removal efficiency along with 0.7 g/kWh energy yield was achieved indicating the very good performance of the process. The indirect plasma approach used in this study presented a successful performance in terms of removal efficiency along with acceptable energy yield compared to other plasma-assisted processes reported in the literature. The results suggested that ozone-assisted indirect plasma treatment can be utilized as an efficient alternative method for formaldehyde removal in commercial kitchens, while efficiency or energy yield should be prioritized for optimizing operating conditions.

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Authors and Affiliations

  1. Chemical and Petroleum Engineering Department, Sharif University of Technology, Tehran, 145888-9694, Iran

    Amin Nemati Tamar & Tayebeh Hamzehlouyan

  2. Department of Phytochemistry, Medicinal Plants and Drugs Research Institute, Shahid Beheshti University, G. C., Evin, Tehran, 1983963113, Iran

    Mohadeseh Karbasi

  3. Laser and Plasma Research Institute, Shahid Beheshti University, G. C., Evin, Tehran, 1983963113, Iran

    Mohammad Reza Khani & Babak Shokri

  4. Department of Physics, Shahid Beheshti University, G. C., Evin, Tehran, 1983963113, Iran

    Babak Shokri

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  1. Amin Nemati Tamar
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Correspondence to Mohammad Reza Khani or Tayebeh Hamzehlouyan.

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Tamar, A.N., Karbasi, M., Khani, M.R. et al. Response surface methodology (RSM) for optimizing ozone-assisted process parameters for formaldehyde removal. J Environ Health Sci Engineer 21, 475–484 (2023). https://doi.org/10.1007/s40201-023-00873-y

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