Preprints
https://doi.org/10.5194/egusphere-2026-1213
https://doi.org/10.5194/egusphere-2026-1213
29 Apr 2026
 | 29 Apr 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Reducing uncertainties in elemental carbon quantification using solvent-extraction–based mass balance and temperature adjustment in thermal–optical protocols

Sumin Ok, Ji Yi Lee, Naeun Kim, and Jinsang Jung

Abstract. This study constrains protocol-dependent uncertainty in elemental carbon (EC) quantification by thermal–optical analysis (TOA) using a novel solvent-extraction-based mass balance framework. To eliminate organic particulate matter interference, PM2.5 samples underwent sequential water and organic solvent extraction. A backup filter was strategically employed to account for EC redistribution during the extraction process, which was found to involve 37 ± 6 % of the total EC. The resulting solvent-extracted EC, corrected for redistribution, served as an operational reference largely independent of thermal charring artifacts. Comparative analysis revealed that EC determined by the IMPROVE protocol was consistently higher, whereas the default NIOSH protocol yielded systematically lower values than the reference. By reducing the maximum OC analysis temperature (OC4) in the NIOSH protocol to 650 °C, the EC values showed improved agreement with the reference (ratio = 1.08 ± 0.13). Furthermore, a logarithmic regression of the solvent-extracted EC to bulk EC ratio as a function of OC4 temperature identified a unity condition at 615 °C, defined here as the “KRISS temperature”. This framework provides a robust, reproducible basis for OC4 temperature selection and enhances inter-protocol comparability by explicitly constraining protocol-dependent uncertainties.

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Sumin Ok, Ji Yi Lee, Naeun Kim, and Jinsang Jung

Status: open (until 04 Jun 2026)

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Sumin Ok, Ji Yi Lee, Naeun Kim, and Jinsang Jung
Sumin Ok, Ji Yi Lee, Naeun Kim, and Jinsang Jung
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Short summary
Elemental carbon is a major factor in climate change, but its measurement remains uncertain due to varying laboratory protocols. We introduced a new framework using solvent extraction to provide an objective reference for these measurements. Our research reveals that the maximum analysis temperature significantly impacts final values. We propose an optimized temperature of 615 °C to reduce these biases. This framework improves comparability between different measurement techniques worldwide.
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