Borzabadi Farahani Farzaneh, Rahimi Jamshid, Khoramipour Sanaz, Dehghanifard Emad, Alimohammadi Mahmood
Department of Environment, Wt.C., Islamic Azad University, Tehran, Iran.
Department of Occupational Health, School of Public Health, Alborz University of Medical Sciences, Karaj, Iran.
Sci Rep. 2025 Aug 27;15(1):31559. doi: 10.1038/s41598-025-15722-1.
Indoor air pollution remains a pressing public health challenge, with volatile organic compounds (VOCs) from household materials contributing to respiratory dysfunctions, neurological disorders, and increased carcinogenic risk. Among these, benzene poses a particular threat due to its established links to hematological malignancies. Addressing this issue requires scalable, low-energy purification strategies. Experiments were conducted in controlled environmental chambers using Aglaonema black and Dracaena deremensis to assess benzene removal under varying temperature and humidity conditions. This study introduces an experimental framework to assess how temperature and humidity modulate benzene phytoremediation by ornamental plants under controlled conditions. In sealed 1 m chambers, Aglaonema black reduced benzene levels by 92% (from 0.125 to 0.01 ppm) within 12 h., while Dracaena deremensis performed optimally at 50% humidity. These findings emphasize the importance of environmental calibration in maximizing VOC uptake and underscore the feasibility of plant-based air purification as an energy-efficient alternative to conventional technologies. This study offers a novel predictive framework that integrates environmental parameters into plant-based VOC removal modeling, enabling future application in smart building air quality systems. Further work is warranted to explore long-term performance, plant-microbe-environment interactions, and integration into architectural systems for real-world deployment. These findings support the integration of ornamental plants into smart buildings and urban air quality management strategies.
室内空气污染仍然是一个紧迫的公共卫生挑战,家用材料中的挥发性有机化合物(VOCs)会导致呼吸功能障碍、神经紊乱和致癌风险增加。其中,苯因其与血液系统恶性肿瘤的既定联系而构成特别威胁。解决这一问题需要可扩展的低能耗净化策略。在可控环境舱中使用黑叶观音莲和也门铁进行实验,以评估在不同温度和湿度条件下的苯去除情况。本研究引入了一个实验框架,以评估温度和湿度如何在可控条件下调节观赏植物对苯的植物修复作用。在密封的1立方米舱室中,黑叶观音莲在12小时内将苯含量降低了92%(从0.125 ppm降至0.01 ppm),而也门铁在50%湿度下表现最佳。这些发现强调了环境校准在最大化VOC吸收方面的重要性,并强调了基于植物的空气净化作为传统技术的节能替代方案的可行性。本研究提供了一个新颖的预测框架,将环境参数整合到基于植物的VOC去除模型中,以便未来应用于智能建筑空气质量系统。有必要进一步开展工作,以探索长期性能、植物-微生物-环境相互作用以及整合到建筑系统中以进行实际部署。这些发现支持将观赏植物整合到智能建筑和城市空气质量管理策略中。