Evidence map›Paper›PMID 22482364›Full record

ArticleAnalytical chemistry2012

Feasibility of depth profiling of animal tissue by ultrashort pulse laser ablation.

Slobodan Milasinovic, Yaoming Liu, Chhavi Bhardwaj, Melvin Blaze M T, Robert J Gordon, Luke Hanley

Abstract read
In one paragraph

Article in Analytical chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Slobodan MilasinovicDepartment of Chemistry, m/c 111, University of Illinois at Chicago, Chicago, Illinois 60607-7061, USA.
Yaoming Liu
Chhavi Bhardwaj
Melvin Blaze M T
Robert J Gordon
Luke Hanley

Funding

Novel Chemical Analyses of the Biofilm-Biomaterial InterfaceR01EB006532 · NIBIB · UNIVERSITY OF ILLINOIS AT CHICAGO · PI HANLEY, LUKE · 2007 to 2010
$1.5M
NIBIB NIH HHS EB006532NIBIB NIH HHS R01 EB006532
6 · The paper itself

Abstract

Experiments were performed to examine the feasibility of mass spectrometry (MS) depth profiling of animal tissue by ~75 fs, 800 nm laser pulses to expose underlying layers of tissue for subsequent MS analysis. Matrix assisted laser desorption ionization mass spectrometry (MALDI-MS) was used to analyze phospholipids and proteins from both intact bovine eye lens tissue and tissue ablated by ultrashort laser pulses. Laser desorption postionization mass spectrometry (LDPI-MS) with 10.5 eV single photon ionization was also used to analyze cholesterol and other small molecules in the tissue before and after laser ablation. Scanning electron microscopy was applied to examine the ablation patterns in the tissue and estimate the depth of the ablation craters. Ultrashort pulse laser ablation was found to be able to remove a layer of several tens of micrometers from the surface of eye lens tissue while leaving the underlying tissue relatively undamaged for subsequent MS analysis. MS analysis of cholesterol, phospholipids, peptides, and various unidentified species did not reveal any chemical damage caused by ultrashort pulse laser ablation for analytes smaller than ~6 kDa. However, a drop in intensity of larger protein ions was detected by MALDI-MS following laser ablation. An additional advantage was that ablated tissue displayed up to an order of magnitude higher signal intensities than intact tissue when subsequently analyzed by MS. These results support the use of ultrashort pulse laser ablation in combination with MS analysis to permit depth profiling of animal tissue.

Indexed as

Laser TherapyAnimalsCattleEye ProteinsLasersLens, CrystallineMass SpectrometryPhospholipidsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationEye ProteinsPhospholipids

Identifiers

PMID22482364
PMCPMC3371643

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.