4.8 Article

Singlet Oxygen Phosphorescence as a Probe for Triplet-State Dissolved Organic Matter Reactivity

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 52, 期 16, 页码 9170-9178

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.8b02379

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资金

  1. Swiss National Science Foundation [200021_156198]
  2. ETH Postdoctoral Research Fellowship
  3. U.S. National Science Foundation [CBET-1434148, CBET-1434313]
  4. Swiss National Science Foundation (SNF) [200021_156198] Funding Source: Swiss National Science Foundation (SNF)
  5. Div Of Chem, Bioeng, Env, & Transp Sys
  6. Directorate For Engineering [1434148] Funding Source: National Science Foundation

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Triplet-state chromophoric dissolved organic matter ((CDOM)-C-3*) plays an important role in aquatic photo-chemistry, yet much remains unknown about the reactivity of these intermediates. To better understand the kinetic behavior and reactivity of (CDOM)-C-3*, we have developed an indirect observation method based on monitoring time-resolved singlet oxygen (O-1(2)) phosphorescence kinetics. The underpinning principle of our approach relies on the fact that O-2 quenches almost all triplets with near diffusion limited rate constants, resulting in the formation of O-1(2), which is kinetically linked to the precursors. A kinetic model relating O-1(2) phosphorescence kinetics to triplet excited states produced from isolated humic substances and in whole natural-water samples (hereafter referred to as (CDOM)-C-3*) was developed and used to determine rate constants governing (CDOM)-C-3* natural lifetimes and quenching by oxygen and 2,4,6-trimethylphenol (TMP), a common triplet probe molecule. (CDOM)-C-3* was found to exhibit smaller O-2 and TMP quenching rate constants, similar to 9 x 10(8) and similar to 8 x 10(8) M-1 s(-1), respectively, compared with model sensitizers, such as aromatic ketones. Findings from this report shed light on the fundamental photochemical properties of CDOM in organic matter isolates and whole waters and will help refine photochemical models to more accurately predict pollutant fate in the environment.

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