1. Contrast-Enhanced Differential Mobility-Desorption Electrospray Ionization-Mass Spectrometry Imaging of Biological Tissues
- Author
-
Facundo M. Fernández, Asiri S. Galhena, Chaminda M. Gamage, and Rachel V. Bennett
- Subjects
Spectrometry, Mass, Electrospray Ionization ,Analytical chemistry ,Signal-To-Noise Ratio ,010402 general chemistry ,Mass spectrometry ,01 natural sciences ,Mass spectrometry imaging ,Analytical Chemistry ,law.invention ,Ion ,Mice ,Electromagnetic Fields ,Chlorophyta ,law ,Image Processing, Computer-Assisted ,Animals ,Sample preparation ,Image resolution ,Brain Chemistry ,Desorption electrospray ionization ,Chemistry ,010401 analytical chemistry ,Signal Processing, Computer-Assisted ,Plants ,Laser ,Rats ,0104 chemical sciences ,Chemical species - Abstract
Mass spectrometry imaging (MSI) performed under ambient conditions is a convenient and information-rich method that allows for the comprehensive mapping of chemical species throughout biological tissues with typical spatial resolution in the 40-200 μm range. Ambient MSI methods such as desorption electrospray ionization (DESI) eliminate necessary sample preparation but suffer from lower spatial resolution than laser-based and vacuum techniques. In order to take advantage of the benefits of ambient imaging and to compensate for the somewhat limited spatial resolution, a secondary orthogonal separation nested in the imaging scheme was implemented for more selective discernment of tissue features in the spectral domain. Differential mobility spectrometry (DMS), an ion mobility-based separation that selectively transmits ions based on their high-to-low electric field mobility differences, can significantly reduce background chemical interferences, allowing for increased peak capacity. In this work, DESI DM-MSI experiments on biological tissue samples such as sea algae and mouse brain tissue sections were conducted using fixed DMS compensation voltages that selectively transferred one or a class of targeted compounds. By reducing chemical noise, the signal-to-noise ratio was improved 10-fold and the image contrast was doubled, effectively increasing image quality.
- Published
- 2014
- Full Text
- View/download PDF