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https://doi.org/10.5194/egusphere-2026-5947
https://doi.org/10.5194/egusphere-2026-5947
15 Oct 2026
 | 15 Oct 2026
Status: this preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

A Br-MION2-Orbitrap and flow-reactor modelling framework for interpreting and quantifying organic photochemical oxidation

Jiali Shen, Yaowei Li, Jiangyi Zhang, Zhaojin An, Putian Zhou, Henning Finkenzeller, Paxton Juuti, Jyri Mikkila, Netta Vinkvist, Siddharth Iyer, Juha Kangasluoma, Tuukka Petäjä, Matti Rissanen, Aleksei Shcherbinin, Frank N. Keutsch, and Xu-Cheng He

Abstract. Isoprene-derived oxygenated organic molecules (IP-OOM) drive new particle formation in the upper troposphere (Shen et al., 2024; Curtius et al., 2024), but the mechanisms that produce them, and the role of photochemistry in shaping their distribution, remain poorly constrained. These products are both hard to quantify, owing to isobaric and isotopic interferences that conventional time-of-flight mass spectrometers cannot resolve, and hard to interpret, as their formation pathways cannot be established from the measured product distribution alone. We address both with a combined measurement and modelling framework, which we demonstrate through chamber and flow reactor experiments. On the measurement side, we optimise a high-resolution Q Exactive Plus Orbitrap mass spectrometer, coupled to a bromide multi-scheme chemical ionisation inlet (the Br–-MION2-Orbitrap), by tuning three operating parameters that change individual-species signals by 10–90 %. Benchmarked side by side against a Br–-MION2-APi-TOF in chamber experiments, it agrees to within a factor of two for the oxygenated oxidation products while resolving isobaric interferences the time-of-flight instrument cannot. This comparison also shows that the Orbitrap’s apparent non-linearity at low concentrations, sometimes regarded as an intrinsic limitation, is rather an artefact of post-acquisition data processing: averaging that assigns zero intensity to non-detections biases the signal low near the detection limit. Disregarding the non-detections gives a conservative upper-bound detection limit of ∼1.3×105 cm−3, comparable to that of the APi-TOF. On the modelling side, we extend MARFORCE from simple inorganic chemistry to comprehensive organic mechanisms of hundreds of species coupled to transport, and add a continuous, spatially distributed OH source; the same model can also run as a well-mixed box model for chamber experiments. Applying the framework to the OH oxidation of 1,2–ISOPOOH in the flow reactor, we detect several abundant products absent from the current isoprene mechanism, and find that photolysis of the hydroperoxide-bearing products, a previously underappreciated process, shapes the product distribution. These experiments show how pairing molecular-level measurement with a model that resolves chemistry and transport provides a quantitative and transferable basis for studying the photochemical oxidation of isoprene and other volatile organic compounds relevant to upper-tropospheric aerosol formation.

Competing interests: Aleksei Shcherbinin works for Ultrace Trace Systems Oy, Ltd., Finland. Paxton Juuti and Jyri Mikkilä worked for Karsa, Ltd., Finland, before.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Jiali Shen, Yaowei Li, Jiangyi Zhang, Zhaojin An, Putian Zhou, Henning Finkenzeller, Paxton Juuti, Jyri Mikkila, Netta Vinkvist, Siddharth Iyer, Juha Kangasluoma, Tuukka Petäjä, Matti Rissanen, Aleksei Shcherbinin, Frank N. Keutsch, and Xu-Cheng He

Status: open (until 20 Nov 2026)

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Jiali Shen, Yaowei Li, Jiangyi Zhang, Zhaojin An, Putian Zhou, Henning Finkenzeller, Paxton Juuti, Jyri Mikkila, Netta Vinkvist, Siddharth Iyer, Juha Kangasluoma, Tuukka Petäjä, Matti Rissanen, Aleksei Shcherbinin, Frank N. Keutsch, and Xu-Cheng He
Jiali Shen, Yaowei Li, Jiangyi Zhang, Zhaojin An, Putian Zhou, Henning Finkenzeller, Paxton Juuti, Jyri Mikkila, Netta Vinkvist, Siddharth Iyer, Juha Kangasluoma, Tuukka Petäjä, Matti Rissanen, Aleksei Shcherbinin, Frank N. Keutsch, and Xu-Cheng He
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Short summary
Gases emitted by trees, such as isoprene, form molecules high in the atmosphere that help create new particles, but this chemistry is hard to measure and interpret. We developed a framework that combines an optimised Orbitrap mass spectrometer, which identifies molecules from their precise mass, with a computer model that separates true chemistry from reactor effects. Tested on isoprene, it revealed missing products and the role of light, offering a transferable tool for studying other gases.
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