Spatial quantitation of drugs in tissues using liquid extraction surface analysis mass spectrometry imaging

SWALES, John G., STRITTMATTER, Nicole, TUCKER, James W., CLENCH, Malcolm, WEBBORN, Peter J. H. and GOODWIN, Richard J. A. (2016). Spatial quantitation of drugs in tissues using liquid extraction surface analysis mass spectrometry imaging. Scientific Reports, 6, p. 37648.

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Official URL: http://www.nature.com/articles/srep37648
Link to published version:: https://doi.org/10.1038/srep37648

Abstract

Liquid extraction surface analysis mass spectrometry imaging (LESA-MSI) has been shown to be an effective tissue profiling and imaging technique, producing robust and reliable qualitative distribution images of an analyte or analytes in tissue sections. Here, we expand the use of LESA-MSI beyond qualitative analysis to a quantitative analytical technique by employing a mimetic tissue model previously shown to be applicable for MALDI-MSI quantitation. Liver homogenate was used to generate a viable and molecularly relevant control matrix for spiked drug standards which can be frozen, sectioned and subsequently analyzed for the generation of calibration curves to quantify unknown tissue section samples. The effects of extraction solvent composition, tissue thickness and solvent/tissue contact time were explored prior to any quantitative studies in order to optimize the LESA-MSI method across several different chemical entities. The use of a internal standard to normalize regional differences in ionization response across tissue sections was also investigated. Data are presented comparing quantitative results generated by LESA-MSI to LC-MS/MS. Subsequent analysis of adjacent tissue sections using DESI-MSI is also reported.

Item Type: Article
Research Institute, Centre or Group - Does NOT include content added after October 2018: Biomedical Research Centre
Identification Number: https://doi.org/10.1038/srep37648
Page Range: p. 37648
Depositing User: Margaret Boot
Date Deposited: 09 Dec 2016 17:05
Last Modified: 18 Mar 2021 04:16
URI: https://shura.shu.ac.uk/id/eprint/14240

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