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Journal of the Mass Spectrometry Society of Japan
Article . 2006 . Peer-reviewed
Data sources: Crossref
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Thin Sectioning Improves the Peak Intensity and Signal-to-Noise Ratio in Direct Tissue Mass Spectrometry

Authors: Yuki SUGIURA; Shuichi SHIMMA; Mitsutoshi SETOU;

Thin Sectioning Improves the Peak Intensity and Signal-to-Noise Ratio in Direct Tissue Mass Spectrometry

Abstract

Direct tissue analysis and imaging using mass spectrometry can extract a mass of information directly from complex biological samples. To carry out successful profiling and mapping of biomolecules, though, techniques for correct sample preparation are required. This article focuses on the influences of tissue thickness on mass spectra. We obtained the mass spectra and imaging results as a function of thickness from 2 to 40 μm, then evaluated the spectrum quality. The peak intensity and number of observed peaks drastically increased as the sections became thinner (<10 μm). Significant images of high molecular weight proteins were acquired only from the thinner slices. We thus concluded that the thickness of biological tissue slices was an important factor in obtaining high quality mass spectra. There could be two reasons for inefficient analyte ionization of thicker slices: electrical nonconductive properties and impurities in thick tissue sections. In conclusion, this investigation extends the capability of imaging mass spectrometry, especially for high molecular weight protein imaging, by optimizing the thickness of the tissue samples.

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    74
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
74
Top 10%
Top 10%
Top 10%
gold