Connecting Brown Carbon Composition and Physicochemical Properties of Aqueous Urban PM <sub>2.5</sub> to their Photosensitized Production of Singlet Oxygen and Organic Triplet Excited States

Oxidants, including singlet oxygen (<sup>1</sup>O<sub>2</sub>*) and organic triplet excited states (<sup>3</sup>C*) formed from the photoexcitation of brown carbon (BrC), drive many chemical processes in atmospheric waters. However, due to the chemical complexity of atmospheric BrC, many questions remain about the specific BrC chromophores and physicochemical properties that primarily control <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* production. In this study, we present a framework for apportioning photosensitizers and predicting the production of <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* based on measurable physicochemical properties of BrC. This is achieved by combining photochemical experiments with absorbance and fluorescence measurements and statistical modeling of a year-long data set of PM<sub>2.5</sub> extracts from Hong Kong SAR, China. Parallel Factor and Non-negative Matrix Factorization analyses of the fluorescence data revealed that highly oxygenated organic aerosols were the main contributors to <sup>1</sup>O<sub>2</sub>* production, whereas less oxygenated organic aerosols were the main contributors to <sup>3</sup>C* production. Next, we developed Orthogonal Partial Least Squares-Multiple Linear Regression models that successfully predicted <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* steady-state concentrations ([<sup>1</sup>O<sub>2</sub>*]<sub>ss</sub> and [<sup>3</sup>C*]<sub>ss</sub>) and quantum yields ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>Φ</mml:mi><mml:mmultiscripts><mml:mi>O</mml:mi><mml:mn>2</mml:mn><mml:mo>*</mml:mo><mml:mprescripts></mml:mprescripts><mml:none></mml:none><mml:mn>1</mml:mn></mml:mmultiscripts></mml:msub></mml:math> and Φ<sub><sup>3</sup>C*</sub>) from standard optical measurements. These models revealed that while [<sup>1</sup>O<sub>2</sub>*]<sub>ss</sub> and [<sup>3</sup>C*]<sub>ss</sub> depended on parameters that reflected the quantities of BrC chromophores, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>Φ</mml:mi><mml:mmultiscripts><mml:mi>O</mml:mi><mml:mn>2</mml:mn><mml:mo>*</mml:mo><mml:mprescripts></mml:mprescripts><mml:none></mml:none><mml:mn>1</mml:mn></mml:mmultiscripts></mml:msub></mml:math> and Φ<sub><sup>3</sup>C*</sub> were influenced by the specific types (i.e., quality) of BrC chromophores present. Overall, this combined approach provides a powerful tool for identifying key BrC chromophore components and specific physicochemical properties that drive <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* production.

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Journal
Environmental Science & Technology
Published
2026-02-14
DOI
https://doi.org/10.1021/acs.est.5c15686
Primary Topic
Atmospheric chemistry and aerosols
Type
article
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article

Connecting Brown Carbon Composition and Physicochemical Properties of Aqueous Urban PM 2.5 to their Photosensitized Production of Singlet Oxygen and Organic Triplet Excited States

Theodora Nah, Yuting Lyu, Tianye Zhou, Nadine Borduas‐Dedekind et al.
Environmental Science & Technology
Atmospheric chemistry and aerosols
article

Connecting Brown Carbon Composition and Physicochemical Properties of Aqueous Urban PM 2.5 to their Photosensitized Production of Singlet Oxygen and Organic Triplet Excited States

Theodora Nah, Yuting Lyu, Tianye Zhou, Nadine Borduas‐Dedekind, Yitao Li, Ruihan Ma
article en

Abstract

Oxidants, including singlet oxygen (<sup>1</sup>O<sub>2</sub>*) and organic triplet excited states (<sup>3</sup>C*) formed from the photoexcitation of brown carbon (BrC), drive many chemical processes in atmospheric waters. However, due to the chemical complexity of atmospheric BrC, many questions remain about the specific BrC chromophores and physicochemical properties that primarily control <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* production. In this study, we present a framework for apportioning photosensitizers and predicting the production of <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* based on measurable physicochemical properties of BrC. This is achieved by combining photochemical experiments with absorbance and fluorescence measurements and statistical modeling of a year-long data set of PM<sub>2.5</sub> extracts from Hong Kong SAR, China. Parallel Factor and Non-negative Matrix Factorization analyses of the fluorescence data revealed that highly oxygenated organic aerosols were the main contributors to <sup>1</sup>O<sub>2</sub>* production, whereas less oxygenated organic aerosols were the main contributors to <sup>3</sup>C* production. Next, we developed Orthogonal Partial Least Squares-Multiple Linear Regression models that successfully predicted <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* steady-state concentrations ([<sup>1</sup>O<sub>2</sub>*]<sub>ss</sub> and [<sup>3</sup>C*]<sub>ss</sub>) and quantum yields ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>Φ</mml:mi><mml:mmultiscripts><mml:mi>O</mml:mi><mml:mn>2</mml:mn><mml:mo>*</mml:mo><mml:mprescripts></mml:mprescripts><mml:none></mml:none><mml:mn>1</mml:mn></mml:mmultiscripts></mml:msub></mml:math> and Φ<sub><sup>3</sup>C*</sub>) from standard optical measurements. These models revealed that while [<sup>1</sup>O<sub>2</sub>*]<sub>ss</sub> and [<sup>3</sup>C*]<sub>ss</sub> depended on parameters that reflected the quantities of BrC chromophores, <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:msub><mml:mi>Φ</mml:mi><mml:mmultiscripts><mml:mi>O</mml:mi><mml:mn>2</mml:mn><mml:mo>*</mml:mo><mml:mprescripts></mml:mprescripts><mml:none></mml:none><mml:mn>1</mml:mn></mml:mmultiscripts></mml:msub></mml:math> and Φ<sub><sup>3</sup>C*</sub> were influenced by the specific types (i.e., quality) of BrC chromophores present. Overall, this combined approach provides a powerful tool for identifying key BrC chromophore components and specific physicochemical properties that drive <sup>1</sup>O<sub>2</sub>* and <sup>3</sup>C* production.

Environmental Science & TechnologyVol. 60(8)
University of British Columbia (CA), City University of Hong Kong (HK)
City University of Hong Kong
Sustainable cities and communities
Openalex Percentile: Top 67%
Atmospheric chemistry and aerosols
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