4.8 Review

Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry Imaging in Biology

期刊

CHEMICAL REVIEWS
卷 121, 期 19, 页码 11769-11822

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.chemrev.0c01219

关键词

-

资金

  1. Australian Research Council [DP190102361]
  2. National Institute of Health R21 Exploratory/Development Grant [1R21AR072950]
  3. Australian Research Council Discovery Early Career Researcher Award [DE180100194]
  4. National Health and Medical Council Career Development Fellowship (Industry) [GNT112298]
  5. Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [417283954]
  6. Miklos Family
  7. Agilent Technologies

向作者/读者索取更多资源

Elemental imaging provides insights into the chemical composition of living organisms, with potential applications in understanding disease states. Laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) has emerged as a principal elemental imaging technique for biologists.
Elemental imaging gives insight into the fundamental chemical makeup of living organisms. Every cell on Earth is comprised of a complex and dynamic mixture of the chemical elements that define structure and function. Many disease states feature a disturbance in elemental homeostasis, and understanding how, and most importantly where, has driven the development of laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) as the principal elemental imaging technique for biologists. This review provides an outline of ICP-MS technology, laser ablation cell designs, imaging workflows, and methods of quantification. Detailed examples of imaging applications including analyses of cancers, elemental uptake and accumulation, plant bioimaging, nanomaterials in the environment, and exposure science and neuroscience are presented and discussed. Recent incorporation of immunohistochemical workflows for imaging biomolecules, complementary and multimodal imaging techniques, and image processing methods is also reviewed.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据