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Poster Presentations
Day 3, June 24（Tue.）
Room P (Maesato East, Foyer, Ocean Wing)
- 3P-PM-22
Developing a Feedback System based on Image Processing for stability control of a high-pressure electrospray Ionization
(1Univ. Yamanashi, 2Hangzhou Dianzi Univ.)
oXiangting Chen1,2, Qiangqiang Xie2, Satoshi Ninomiya1, Lee Chuin Chen1
Electrospray Ionization is a standard ionization technique for mass spectrometry used in a wide area of analytical applications. The stability of the electrospray affects the ionization efficiency and the quality of mass spectrometric data. The optimal applied voltage to the ESI emitter to achieve stable operation depends on the electrostatic and fluidic parameters such as surface tension, flow rate, and liquid conductivity. However, in applications such as gradient liquid chromatography, those fluidic variables can vary during the measurement. Previously, we demonstrated a feedback system for an atmospheric pressure ESI to modulate the emitter voltage based on the spray current and the Taylor cone apex angle.
In this study, we propose a purely image-based feedback system to regulate electrospray emitter voltage to maintain the spray stability. The images captured by a CCD camera are subjected to processing algorithm to determine the formation of spray, the spraying mode and the jet stability based on the meniscus morphology in real-time. The use of high-pressure ESI that can prevent the occurrence of electric discharge also enable a stable cone-jet mode operation even under the condition in which the composition of the spraying solution is changed from organic-rich to 100 % aqueous or vice versa during the ESI measurement.