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Chemosphere· 2026Q1

Evaluation of passive NO2 removal by graphene oxide-polyacrylonitrile electrospun nanofiber membranes at indoor-relevant concentrations

Seyda Adiguzel Istil, Pawel Wargocki, Tamer Güzel

Short summary

Graphene oxide-doped polyacrylonitrile (GOPAN) nanofiber membranes removed up to 31% of indoor nitrogen dioxide (NO2) at concentrations relevant to urban traffic pollution, with 2 wt% GO showing optimal performance.

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Abstract

Traffic-related outdoor nitrogen dioxide (NO 2 ) emissions can infiltrate indoor environments, negatively affecting indoor air quality (IAQ), particularly in buildings near urban roads. In the present exploratory study, the passive performance of graphene oxide (GO)-doped polyacrylonitrile (PAN) electrospun nanofiber filters (GOPAN) for NO 2 removal was investigated under controlled conditions representative of indoor exposure to traffic-related pollution. GOPAN nanofibers were fabricated with varying GO concentrations (0.5-3 wt%) to evaluate the effect of the GO loading on passive indoor NO 2 removal performance. Chamber-scale experiments were conducted under controlled indoor environmental conditions using NO 2 concentrations representative of urban outdoor exposure levels. Among all tested GOPAN nanofiber filters, the 2 wt% GO-doped filter (2GOPAN) achieved the highest passive NO 2 removal efficiency of approximately 31%. The results demonstrate that the moderate incorporation of GO may improve the passive interaction of PAN-based electrospun membranes with NO 2 at concentrations representative of urban outdoor exposure levels. The chamber experiment is an initial screening of materials, not a direct simulation of airflow through an open window. However, the relatively low clean air delivery rates (CADR) indicate that substantial improvements in material performance are required for practical large-scale applications and highlight the strong limitation of passive air cleaning by diffusion-controlled mass transfer under indoor conditions.

The authors' abstract, as published at the source. Chemosphere, 2026 · DOI ↗

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