Premium
Laser secondary neutral mass spectrometry for copper detection in micro‐scale biopsies
Author(s) -
Kriegeskotte C.,
Cantz T.,
Haberland J.,
Zibert A.,
Haier J.,
Köhler G.,
Schöler H. R.,
Schmidt H. H.J.,
Arlinghaus H. F.
Publication year - 2009
Publication title -
journal of mass spectrometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.475
H-Index - 121
eISSN - 1096-9888
pISSN - 1076-5174
DOI - 10.1002/jms.1634
Subject(s) - chemistry , mass spectrometry , laser , mass spectrometry imaging , resolution (logic) , analytical chemistry (journal) , trace element , high resolution , ionization , biomedical engineering , nanotechnology , biophysics , chromatography , ion , optics , materials science , medicine , biology , geology , physics , remote sensing , organic chemistry , artificial intelligence , computer science
Disease progression and clinical diagnostics of a number of hereditable metabolic diseases are determined by organ involvement in disturbed deposition of certain molecules. Current clinical imaging is unable to visualize this maldistribution with sufficient specificity and sensitivity, such as in Wilson's disease. The quest for understanding cellular Cu distribution in these patients requires element‐ and molecule‐specific images with nanometer‐scale spatial resolution. We have used a new cryo‐mass spectrometric instrument with an integrated cryosectioning chamber for preparation and analysis of frozen hydrated samples of Wilson's disease tissue. With laser post‐ionization secondary neutral mass spectrometry (laser‐SNMS), we were able to image Cu and other intrinsic elements and molecules in less than 1 mg of frozen hydrated liver tissue from a murine model of Wilson's disease. A 40–50 times higher Cu concentration was measured in the disease tissue as compared to the control mouse. Furthermore, major histomorphological changes were observed using this advanced nano‐science tool. The results showed that the combination of in‐vacuum cryosectioning and cryo‐laser‐SNMS technologies is particularly well suited for identifying specific cell structures and imaging trace element concentrations with subcellular resolution and upper‐parts‐per‐billion sensitivity in biological samples. This technology can provide a novel diagnostic tool for clinical applications in various diseases involving trace elements. Copyright © 2009 John Wiley & Sons, Ltd.