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Methods to Visualize Elements in Plants(1)([OPEN])

期刊

PLANT PHYSIOLOGY
卷 182, 期 4, 页码 1869-1882

出版社

OXFORD UNIV PRESS INC
DOI: 10.1104/pp.19.01306

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资金

  1. Department of Industry, Innovation, Science, Research, and Tertiary Education, Australian Government j Australian Research Council [LP130100741]
  2. Sonic Essentials through the Linkage Projects funding scheme [LP130100741]
  3. Research Training Program, the Natural Science Foundation of Jiangxi Province (Jiangsu Province Natural Science Fund) [BK20180025]
  4. Fundamental Research Funds for the Central Universities [KJJQ201902]
  5. University of Queensland Major Equipment and Infrastructure Advanced Micro-X-Ray Fluorescence Facility for Biological, Medical, Materials Science, and Geochemistry [UQMEI1835893]
  6. National Bank (Denmark)
  7. EPSRC [EP/P025021/1, EP/S019367/1] Funding Source: UKRI

向作者/读者索取更多资源

A comparison of techniques for visualizing element distribution in plants assists researchers in selecting the method most useful for their particular research program or application. Understanding the distribution of elements in plants is important for researchers across a broad range of fields, including plant molecular biology, agronomy, plant physiology, plant nutrition, and ionomics. However, it is often challenging to evaluate the applicability of the wide range of techniques available, with each having its own strengths and limitations. Here, we compare scanning/transmission electron microscopy-based energy-dispersive x-ray spectroscopy, x-ray fluorescence microscopy, particle-induced x-ray emission, laser ablation inductively coupled plasma-mass spectrometry, nanoscale secondary ion mass spectroscopy, autoradiography, and confocal microscopy with fluorophores. For these various techniques, we compare their accessibility, their ability to analyze hydrated tissues (without sample preparation) and suitability for in vivo analyses, as well as examining their most important analytical merits, such as resolution, sensitivity, depth of analysis, and the range of elements that can be analyzed. We hope that this information will assist other researchers to select, access, and evaluate the approach that is most useful in their particular research program or application.

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