Imperial College London
Alternate

ProfessorZoltanTakats

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Professor of Analytical Chemistry
 
 
 
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Contact

 

+44 (0)20 7594 2760z.takats

 
 
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Location

 

Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{St:2016:10.1016/j.trac.2016.05.003,
author = {St, John ER and Rossi, M and Pruski, P and Darzi, A and Takats, Z},
doi = {10.1016/j.trac.2016.05.003},
journal = {TrAC Trends in Analytical Chemistry},
pages = {2--9},
title = {Intraoperative tissue identification by mass spectrometric technologies},
url = {http://dx.doi.org/10.1016/j.trac.2016.05.003},
volume = {85},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Mass spectrometric (MS) approaches developed for tissue identification in surgical environments are reviewed. MS Imaging (MSI) techniques enable the direct analysis of human tissue and can be used as an alternative means for margin assessment. While MSI-based approaches were demonstrated to improve the examiner-related variance of the data, the time demand and the cost of these analyses remained high. Furthermore, the necessity of MS expertise for the clinical deployment of these techniques has hindered large-scale clinical testing. The advent of ‘ambient’ MS methods contributed to the application of MSI techniques in this field, however alternative methods have been developed for the direct analysis of tissue samples without sample preparation. One group of methods employs surgical tissue manipulation for ionization while the other one uses minimally invasive probes for sampling prior to ionization. The methods are summarised and compared with regard to the information delivered, turnaround time and tissue identification performance.
AU  - St,John ER
AU  - Rossi,M
AU  - Pruski,P
AU  - Darzi,A
AU  - Takats,Z
DO  - 10.1016/j.trac.2016.05.003
EP  - 9
PY  - 2016///
SN  - 0165-9936
SP  - 2
TI  - Intraoperative tissue identification by mass spectrometric technologies
T2  - TrAC Trends in Analytical Chemistry
UR  - http://dx.doi.org/10.1016/j.trac.2016.05.003
UR  - http://hdl.handle.net/10044/1/37389
VL  - 85
ER  -
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