scholarly journals Mass spectrometric imaging of elements in biological tissues by new BrainMet technique—laser microdissection inductively coupled plasma mass spectrometry (LMD-ICP-MS)

2011 ◽  
Vol 26 (8) ◽  
pp. 1653 ◽  
Author(s):  
Bei Wu ◽  
Stefan Niehren ◽  
J. Sabine Becker
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Laser Microdissection ◽  
Biological Tissues ◽  
Mass Spectrometric ◽  
Mass Spectrometric Imaging ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

Imaging of metals and metal-containing species in biological tissues and on gels by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS): A new analytical strategy for applications in life sciences

2008 ◽  
Vol 80 (12) ◽  
pp. 2643-2655 ◽  
Author(s):  
J. Sabine Becker ◽  
M. Zoriy ◽  
Valderi L. Dressler ◽  
Bei Wu ◽  
J. Susanne Becker
Keyword(s):  
Mass Spectrometry ◽  
Laser Ablation ◽  
Gel Electrophoresis ◽  
Inductively Coupled Plasma ◽  
Toxic Elements ◽  
Life Sciences ◽  
Biological Tissues ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has become established as a very efficient and sensitive trace, ultratrace, and surface analytical technique in the life sciences. We have developed a new analytical imaging technique using LA-ICP-MS to study element distribution in biological tissues. Nowadays, LA imaging ICP-MS using double-focusing sector field (LA-ICP-SFMS) or quadrupole-based mass spectrometers (LA-ICP-QMS) can be applied as an exciting tool providing new information on the pathophysiology, pharmacology, and toxicology of elements of interest in biological systems. The quantitative determination of elements (e.g., Cu, Fe, Zn, Se, and others) in biological tissues is of growing interest especially in brain research (e.g., for studying neurodegenerative diseases such as Alzheimer's or Parkinson's disease). LA-ICP-SFMS was employed to produce images of detailed regionally specific element distributions in thin tissue sections of different sizes (such as control human or rat brain tissues or tumor regions). In addition, imaging MS using LA-ICP-QMS was applied to study the uptake and transport of nutrient and toxic elements in plant tissues.Besides the quantitative imaging of essential and toxic elements in tissues, powerful analytical techniques are also required for the determination and characterization of phosphoproteins and metal-containing proteins within a large pool of proteins, after electrophoretic separation (e.g., blue native, BN and sodium dodecyl sulfate-polyacrylamide gel electrophoresis, SDS-PAGE) into 1D and 2D gels. LA-ICP-MS was used to detect metalloproteins in protein bands of 1D gels or protein spots separated after 2D gel electrophoresis (2D-GE). In addition to elemental determination by LA-ICP-MS, matrix-assisted laser desorption/ionization (MALDI)-MS was employed to identify metal-containing proteins. Recent progress will be discussed in applying LA-ICP-MS in the life sciences, including the imaging of thin slices of tissue and applications in proteome analysis in combination with MALDI-MS to investigate phosphoproteins and metal-containing proteins.

Reconstruction, analysis, and segmentation of LA-ICP-MS imaging data using Python for the identification of sub-organ regions in tissues

The Analyst ◽  
2020 ◽  
Vol 145 (10) ◽  
pp. 3705-3712
Author(s):  
Laura J. Castellanos-García ◽  
S. Gokhan Elci ◽  
Richard W. Vachet
Keyword(s):  
Mass Spectrometry ◽  
Laser Ablation ◽  
Inductively Coupled Plasma ◽  
Biological Tissues ◽  
Imaging Data ◽  
Inductively Coupled ◽  
Ms Imaging ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

Freely available software written in Python is described that can analyze and reconstruct laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) imaging data, and enable the segmentation of metal distributions in biological tissues.

Recent applications of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) for biological sample analysis: a follow-up review

2017 ◽  
Vol 32 (5) ◽  
pp. 890-919 ◽  
Author(s):  
D. Pozebon ◽  
G. L. Scheffler ◽  
V. L. Dressler
Keyword(s):  
Mass Spectrometry ◽  
Laser Ablation ◽  
Inductively Coupled Plasma ◽  
Biological Sample ◽  
Biological Tissues ◽  
Sample Analysis ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

Information provided by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) in the analysis of biological tissues is expanding.

Single Particle Inductively Coupled Plasma Mass Spectrometry: Investigating Nonlinear Response Observed in Pulse Counting Mode and Extending the Linear Dynamic Range by Compensating for Dead Time Related Count Losses on a Microsecond Timescale

2019 ◽  
Author(s):  
Ingo Strenge ◽  
Carsten Engelhard
Keyword(s):  
Mass Spectrometry ◽  
Inductively Coupled Plasma ◽  
Nonlinear Response ◽  
Dynamic Range ◽  
Dead Time ◽  
Inorganic Nanoparticles ◽  
Linear Dynamic Range ◽  
Inductively Coupled ◽  
Icp Ms ◽  
Plasma Mass Spectrometry

<p>The article demonstrates the importance of using a suitable approach to compensate for dead time relate count losses (a certain measurement artefact) whenever short, but potentially strong transient signals are to be analysed using inductively coupled plasma mass spectrometry (ICP-MS). Findings strongly support the theory that inadequate time resolution, and therefore insufficient compensation for these count losses, is one of the main reasons for size underestimation observed when analysing inorganic nanoparticles using ICP-MS, a topic still controversially discussed.</p>

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