Qr code
DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
冯春雷

Senior Engineer


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:物理学院
Discipline:Plasma physics
E-Mail:Fengchunlei@dlut.edu.cn
Click: times

Open time:..

The Last Update Time:..

Current position: Home >> Scientific Research >> Paper Publications

High sensitive and high temporal and spatial resolved image of reactive species in atmospheric pressure surface discharge reactor by laser induced fluorescence

Hits : Praise

Indexed by:期刊论文

Date of Publication:2017-05-01

Journal:REVIEW OF SCIENTIFIC INSTRUMENTS

Included Journals:SCIE、EI、PubMed

Volume:88

Issue:5

Page Number:053107

ISSN No.:0034-6748

Abstract:The current paucity of spatial and temporal characterization of reactive oxygen and nitrogen species (RONS) concentration has been a major hurdle to the advancement and clinical translation of low temperature atmospheric plasmas. In this study, an advanced laser induced fluorescence (LIF) system has been developed to be an effective antibacterial surface discharge reactor for the diagnosis of RONS, where the highest spatial and temporal resolution of the LIF system has been achieved to similar to 100 mu m scale and similar to 20 ns scale, respectively. Measurements on an oxidative OH radical have been carried out as typical RONS for the benchmark of the whole LIF system, where absolute number density calibration has been performed on the basis of the laser Rayleigh scattering method. Requirements for pixel resolved spatial distribution and outer plasma region detection become challenging tasks due to the low RONS concentration (similar to ppb level) and strong interference, especially the discharge induced emission and pulsed laser induced stray light. In order to design the highly sensitive LIF system, a self-developed fluorescence telescope, the optimization of high precision synchronization among a tunable pulsed laser, a surface discharge generator, intensified Charge Coupled Device (iCCD) camera, and an oscilloscope have been performed. Moreover, an image BOXCAR approach has been developed to remarkably improve the sensitivity of the whole LIF system by optimizing spatial and temporal gating functions via both hardware and software, which has been integrated into our automatic control and data acquisition system on the LabVIEW platform. In addition, a reciprocation averaging measurement has been applied to verify the accuracy of the whole LIF detecting system, indicating the relative standard deviation of similar to 3%. Published by AIP Publishing.