Phytoremediation potential of potted plant species against vehicular emissions

Int J Phytoremediation. 2024 Nov 15:1-8. doi: 10.1080/15226514.2024.2427387. Online ahead of print.

Abstract

Urbanization and industrialization are exponentially deteriorating air quality, ecosystems, and human health. Phytoremediation is cost cost-effective, sustainable, and nature-based solution against air pollution. This study is designed to evaluate four species, Chlorophytum comosum, Rhapis excelsa, Spathiphyllum wallisii, and Ficus benjamina for their phytoremediation potential. The experimental setup consisted of a sealed chamber to place potted plants and equipment, it was also connected to the vehicular exhaust pipe. The Air Pollution Tolerance Index was highest for F. benjamina (12.19) and lowest for Rhapis excels (8.58). C. comosum has the highest VOC removal efficiency (90%, 0.172 ppm h-1). NOx remediation was highest by F. benjamina with 0.057 ppm h-1 (77%) removal efficiency. SOx and CO were remediated more efficiently by C. comosum, as 89%, (0.18 ppm h-1) and 80% (0.23 ppm h-1), respectively. R. excelsa reduced a higher concentration of NH3 (77%, 0.06 ppm h-1) compared to other species. R. excelsa and S. wallisii may serve as bio-indicator species. These findings provide a sustainable, natural, economical, and eco-friendly way to mitigate air pollution. F. benjamina and C. comosum are suitable species for urban landscapes, green spaces, urban plantations, and green walls to curb air pollutants due to traffic and industries.

Keywords: Air pollution; air pollution tolerance index; phytoremediation; resistant species; tolerant species.

Plain language summary

Based on the air pollution tolerance index, this study concludes that Rhapis excels (APTI = 8.58) can be used as a bio-indicator species for pollution monitoring and evaluation. Whereas, Ficus benjamina (APTI = 12.2) and Chlorophytum comosum (APTI = 10.3) are the best options for urban landscapes, green belts, or green walls for air pollution combat and mitigation.