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Published on: November 8, 2019
Integrated Absorption Spectroscopic Measurement of 2-Nitrophenol and Naphthalene
Zhongmei Yang1, Meng Wang1,2, Dean S Venables2
1China Machinery Industry Federation Key Laboratory of Multiphase Flow Measurement, School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
This study introduces a new system for measuring gas absorption cross sections of organic compounds at high temperatures. The Integrated Absorption Spectroscopy method provides accurate data crucial for atmospheric modeling.
Area of Science:
- Atmospheric Chemistry
- Spectroscopy
- Chemical Physics
Background:
- Accurate gas-phase absorption cross sections are vital for atmospheric and high-temperature process modeling.
- Existing data for low-volatility organic compounds (LVOCs) often show discrepancies, especially at elevated temperatures.
Purpose of the Study:
- To develop and validate a high-precision measurement system for gas-phase absorption cross sections of LVOCs, particularly semi-volatile organic compounds (SVOCs).
- To determine the temperature dependence of these cross sections under atmospherically relevant conditions.
Main Methods:
- Utilized Integrated Absorption Spectroscopy (IAS) coupled with a temperature-controlled inlet and cell (473 K) and nitrogen carrier gas.
- Measured absorption cross sections for 2-nitrophenol (2-NP) and naphthalene in the UV-Vis range (250-400 nm).
Main Results:
- Determined peak cross sections for 2-NP at 473 K: 2.31 × 10⁻¹⁷ cm²/molecule (260 nm) and 1.16 × 10⁻¹⁷ cm²/molecule (335 nm).
- Measured naphthalene cross sections decreasing from 1.62 × 10⁻¹⁷ to 1.28 × 10⁻¹⁷ cm²/molecule (258-280 nm) at 473 K.
- Observed spectral broadening and reduced peak cross sections at high temperatures, consistent with thermodynamic theory and resolving low-temperature data discrepancies.
Conclusions:
- The developed IAS system provides a robust method for quantifying absorption cross sections of SVOCs at high temperatures.
- High-temperature data generated by this system enhance the reliability of atmospheric models by resolving existing data conflicts.
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