Reliable evaluation of air filtration materials remains challenging due to the lack of standardized, affordable, and versatile testing systems that can simulate real-world environmental conditions. To address this gap, the present study develops and validates a Filter Quality Testing System (FQTS) designed to provide reproducible, sensor-integrated assessment of particulate and gaseous pollutant removal. The system features a dual-chamber stainless-steel testing chamber equipped with sensors for PM 2 . 5 , PM 10 , VOCs, CO 2 , HCHO, temperature, and relative humidity, supported by a dedicated Measurement and Display Electronics (MDE) unit for synchronized data acquisition. Using this setup, the filtration efficiencies of three commonly used textile materials, 67GSM cotton fabric, 122GSM cotton fabric, and 70GSM polypropylene fabric, were evaluated under a controlled airflow of 70 CFM. Results indicated that the 122 GSM cotton fabric achieved the highest filtration efficiency, followed by polypropylene and 67 GSM cotton. The findings demonstrate FQTS’s capability to generate consistent, comparative, and real-time filtration performance data. The system’s modular architecture and multi-parameter sensing platform offer practical value for researchers, filter manufacturers, and quality-control laboratories seeking standardized testing tools, while also enabling future extensions such as multi-flow-rate and humidity-controlled evaluations. • Development of a novel Filter Quality Testing System (FQTS) integrating real-time monitoring of PM, gases, and environmental parameters. • Compact and cost-effective design suitable for laboratory and industrial quality assessment. • Comparative evaluation of cotton and polypropylene filter materials at a constant airflow rate of 70 CFM. • Highest filtration efficiency observed in 122 GSM cotton, followed by polypropylene and 67 GSM cotton. • Standardized and reproducible testing approach for research, product development, and quality assurance in air filtration technologies.
Jalgaonkar et al. (Fri,) studied this question.