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<p>Air pollution is a growing concern for the environment and public health, with particulate matter (PM) being a major contributor to adverse impacts. Filtration is a commonly used and efficient method for removing PM. However, creating a filter with good filtration efficiency using natural fibers is challenging. This research focuses on developing a porous filter based on cellulose fibers, enhanced with cationic starch (CST) and polyvinyl alcohol (PVA), and utilizing freeze drying. The findings reveal that the filter containing combination of CST and PVA significantly enhances the tensile index to 0.65. Notably, the optimized filters exhibit a high porosity of 96%. BET (Brunauer–Emmett–Teller) surface area and pore size of cellulose filters with CST and PVA were analyzed using the BET equation and Barrett–Joyner–Halenda (BJH) method, it shows BET surface area of 23.12&#xa0;m²/g and nano-sized pores, which indicate their potential for effective PM capture while maintaining adequate airflow. The SEM images further illustrate the uniform pore structure, which contributes to the filter’s overall performance. The filter demonstrated PM filtration the highest removal rates of 90.27% for PM<sub>2.5</sub> and 99.58% for PM<sub>10</sub>. The findings suggest that modifying air filters with CST and PVA additives can significantly enhance their effectiveness in capturing particulate matter while maintaining optimal airflow.</p>

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Production of cellulose-based porous air filters for efficient particulate matter capture

  • 期刊论文

  • 发表日期：

    2025年2月8日

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  • Zahra Kazemi Karchangi,
  • Noureddin Nazarnezhad,
  • Jalel Labidi

摘要

Air pollution is a growing concern for the environment and public health, with particulate matter (PM) being a major contributor to adverse impacts. Filtration is a commonly used and efficient method for removing PM. However, creating a filter with good filtration efficiency using natural fibers is challenging. This research focuses on developing a porous filter based on cellulose fibers, enhanced with cationic starch (CST) and polyvinyl alcohol (PVA), and utilizing freeze drying. The findings reveal that the filter containing combination of CST and PVA significantly enhances the tensile index to 0.65. Notably, the optimized filters exhibit a high porosity of 96%. BET (Brunauer–Emmett–Teller) surface area and pore size of cellulose filters with CST and PVA were analyzed using the BET equation and Barrett–Joyner–Halenda (BJH) method, it shows BET surface area of 23.12 m²/g and nano-sized pores, which indicate their potential for effective PM capture while maintaining adequate airflow. The SEM images further illustrate the uniform pore structure, which contributes to the filter’s overall performance. The filter demonstrated PM filtration the highest removal rates of 90.27% for PM2.5 and 99.58% for PM10. The findings suggest that modifying air filters with CST and PVA additives can significantly enhance their effectiveness in capturing particulate matter while maintaining optimal airflow.