Research Appraisalother

Electrospun nanofibrous membranes for self-powered wearable air filtration systems

Advances in colloid and interface scienceZhu, Miaomiao, Hu, Xiaoxue, Chen, Siqi et al.1 May 2026DOI

Clinical Snapshot

20CEBM
Evidence: Insufficientother

PICO Framework

P — PopulationNot applicable - this is a narrative review of materials science technology
I — InterventionNot applicable - review of electrospun nanofibrous membranes and self-powered filtration systems
C — ComparatorNot applicable - narrative review without systematic comparison
O — OutcomesNot applicable - review of filtration efficiency, air resistance, and energy harvesting performance

Bottom Line

This paper is a narrative review of materials science technology focusing on electrospun nanofibrous membranes for air filtration systems, not a clinical study. While air pollution is a legitimate public health concern, this review examines engineering solutions rather than health interventions. The work lacks the methodological rigor expected of systematic reviews and provides no clinical evidence for health outcomes. The technology described is in early development stages without regulatory approval or clinical validation. Healthcare professionals should note this represents materials science research rather than evidence-based medical literature. For clinical guidance on air pollution and respiratory health, practitioners should consult established clinical guidelines and peer-reviewed medical literature rather than engineering reviews.

Evidence: Insufficient

Key Findings

  • Effect Size: Not reported

  • Primary Outcome: Not applicable - narrative review of filtration technology

  • Nnt Or Sensitivity: Filtration efficiency and air resistance parameters mentioned but not quantified

Clinical Application

Early-stage technology development without clinical validation No relevance to Australian clinical practice, PBS, TGA approval, or RACGP guidelines Not applicable - this is materials science research

Abstract

With the growth of society and industrialization, air pollution has intensified, disturbing the ecological balance and presenting considerable risks to human health. The development of intelligent wearable protective systems is a major breakthrough in real-time health monitoring and prevention, greatly improving personal health management outcomes. An optimal smart air filtration system must demonstrate reliable filtration efficiency, minimal air resistance, and incorporate features for health monitoring and interaction with users. As a result, it is essential to create innovative materials for air filtration that can effectively trap particulate matter (PM). The adaptability, high surface area, interconnected porosity, and configurable morphology of electrospun nanofibers make them a highly promising platform for developing high-performance air filtration media. The conversion of ambient mechanical vibrations into electrical power by piezoelectric and triboelectric nanogenerators (PENGs and TENGs) has emerged as a practical strategy for effective energy harvesting. Integrating self-powered technologies with fibrous air filtration materials to efficiently eliminate fine particulate matter provides a new and sustainable approach to air purification. This review systematically summarizes recent advances in electrospun nanofibrous membranes for self-powered, intelligent, wearable air filtration systems. It begins with an analysis of the fundamental mechanisms of air filtration, the criteria for performance evaluation, and the principles of electrospinning technology. Subsequently, the practical application performance of these filtration systems is critically examined. Finally, the review outlines prospective research directions and discusses the remaining challenges confronting self-powered air filtration systems.

References

  1. 1.Zhu, M., Hu, X., Chen, S., Xu, W., Wang, Z., Hu, C., Zhang, J., Xiong, R., & Huang, C. (2026). Electrospun nanofibrous membranes for self-powered wearable air filtration systems. Advances in Colloid and Interface Science, 103786. https://doi.org/10.1016/j.cis.2026.103786
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