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Quantifying hydroxyl radicals generated by a low-temperature plasma using coumarin: methodology and precautions.
Florent Ducrozet1, Amal Sebastian1,2, Cecilia Julieta Garcia Villavicencio1,2
1Radiation Laboratory, University of Notre Dame, Notre Dame, IN 46556, USA. florent.ducrozet@sorbonne-universite.fr.
Physical Chemistry Chemical Physics : PCCP
|March 4, 2024
Summary
This study presents a new method to detect hydroxyl radicals (HO˙) from low-temperature plasmas (LTPs) using coumarin. The findings improve understanding of plasma chemistry for biological applications.
Area of Science:
- Plasma Science
- Chemical Kinetics
- Analytical Chemistry
Background:
- Hydroxyl radicals (HO˙) are key reactive species in low-temperature plasma (LTP) applications.
- Accurate detection and quantification of HO˙ are essential for understanding LTP mechanisms.
- Existing methods for HO˙ detection in aqueous phases have limitations.
Purpose of the Study:
- To develop and validate a novel quantification methodology for hydroxyl radicals (HO˙) generated by LTPs in aqueous solutions.
- To investigate the formation of HO˙ under various LTP parameters.
- To assess the influence of pH on the quantification process.
Main Methods:
- Indirect probing of HO˙ using the coumarin molecule.
- Spectrophotometry to monitor the reaction between coumarin and HO˙.
- Fluorimetry to quantify the formation of 7-hydroxycoumarin, a product of the reaction.
- Systematic variation of plasma parameters and pH levels.
Main Results:
- A robust quantification methodology for HO˙ in aqueous phase LTPs was established.
- The coumarin probe effectively detected HO˙ formation.
- The study elucidated the impact of pH on HO˙ quantification accuracy.
- Insights into HO˙ generation mechanisms under different plasma conditions were gained.
Conclusions:
- The proposed method provides a reliable way to quantify hydroxyl radicals (HO˙) from low-temperature plasmas (LTPs).
- This technique enhances the understanding of plasma-water interactions.
- The findings contribute to optimizing LTP applications, particularly in biological and chemical fields.

