4.7 Article

Quantitative imaging of trace elements in brain sections of Alzheimer's disease mice with laser ablation inductively coupled plasma-mass spectrometry

Journal

MICROCHEMICAL JOURNAL
Volume 172, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.microc.2021.106912

Keywords

LA-ICP-MS; Trace elements; Alzheimer's disease; Quantitative imaging

Ask authors/readers for more resources

By creating homemade matrix-matched standards, quantitative imaging of iron, copper, and zinc in mouse brains was successfully achieved using laser ablation inductively coupled plasma mass spectrometry. This technique is expected to provide a new insight into the biological effects of metals and the etiology of metal-related diseases.
Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) has become a powerful technique for imaging of trace elements in biological samples. However, accurately quantitative imaging is still a complicated task due to lack of matrix-matched standard materials. On the other hand, traditional LA-ICP-MS analysis usually suffers from slow analytical speed and low imaging resolution mainly due to a long washout time of an ablation cell and a low repetition rate of a laser. In this work, a series of homemade matrix-matched standards were produced by homogeneous spiking of gelatin with a known amount of trace elements (Fe, Cu, and Zn). Using these standards, quantitative imaging of Fe, Cu, and Zn in the brains of Alzheimer's disease (AD) and control mice were achieved using a laser ablation system with a low-dispersion cell and a high repetition rate laser coupled to a triple quadrupole ICP-MS. The limits of detection of Fe, Cu, and Zn are 5.4 mu g g(-1), 0.081 mu g g(-1), and 0.54 mu g g(-1), respectively. The concentrations of Fe, Cu, and Zn in mouse brains are 10 similar to 70 mu g g(-1), 5 -30 mu g g(-1) these metals between AD and control mouse brains. The developed LA-ICP-MS approach is expected to provide a new insight into biological effects of metals and aetiology of metal-related diseases. , and 25 similar to 150 mu g g(-1), respectively. The quantitative imaging shows different distribution and contents of

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available