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A Stainless Steel Filter-Based Infrared Spectroscopy Method for Monitoring Hourly Evolution of Functional Groups in

Penghan Wang¹, Wei Ma^1,2, Wenxing Zhong¹

¹Aerosol and Haze Laboratory, Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

Analytical Chemistry

|March 4, 2026

Summary

This summary is machine-generated.

A new method using stainless-steel filters and DRIFTS allows hourly analysis of urban organic aerosol (OA) functional groups. This technique offers improved sensitivity and provides new insights into atmospheric OA dynamics.

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Area of Science:

Atmospheric Chemistry
Spectroscopy
Aerosol Science

Background:

Characterizing urban organic aerosol (OA) functional groups at high temporal resolution is crucial but challenging with traditional methods.
Fourier Transform Infrared Spectroscopy (FTIR) has limitations in speed and sensitivity for hourly OA analysis.

Purpose of the Study:

To develop and validate a novel method for hourly characterization of organic aerosol functional groups in PM2.5.
To improve the sensitivity and temporal resolution of OA analysis compared to existing techniques.

Main Methods:

Coupling a reusable stainless-steel filter (SSF) sampler with diffuse reflectance Fourier-transform infrared spectroscopy (DRIFTS) for PM2.5 analysis.
Utilizing fourth-order derivative spectra and Gaussian deconvolution for functional group identification.
Correlating results with a Monitoring AeRosol and Gases in ambient Air (MARGA) system for validation.

Main Results:

The SSF-DRIFTS method showed high linearity (R2 = 0.96-0.98) for key functional groups (alkane CH, carbonyl C═O, alcohol COH, carboxylic COOH).
Achieved 8-18 times higher absorptivities compared to traditional PTFE filters with transmission-mode FTIR.
Demonstrated good correlation (R2 = 0.86-0.91) for inorganic ions (NH4+, NO3-) with MARGA measurements.
2D-COS analysis revealed distinct temporal evolution patterns of OA functional groups during a pollution episode.

Conclusions:

The developed SSF-DRIFTS method enables reliable hourly monitoring of OA functional-group composition.
This approach offers significant advancements in sensitivity and temporal resolution for atmospheric aerosol research.
Provides valuable insights into the diurnal and pollution-episode-driven dynamics of organic aerosol functional groups.