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Quantitative x-ray microanalysis of model biological samples in the SEM using remote standards and the XPP analytical model
- Source :
- Journal of Microscopy. 266:231-238
- Publication Year :
- 2017
- Publisher :
- Wiley, 2017.
-
Abstract
- It is shown that accurate x-ray microanalysis of frozen-hydrated and dry organic compounds, such as model biological samples, is possible with a silicon drift detector in combination with XPP (exponential model of Pouchou and Pichoir matrix correction) software using 'remote standards'. This type of analysis is also referred to as 'standardless analysis'. Analyses from selected areas or elemental images (maps) were identical. Improvements in x-ray microanalytical hardware and software, together with developments in cryotechniques, have made the quantitative analysis of cryoplaned frozen-hydrated biological samples in the scanning electron microscope a much simpler procedure. The increased effectiveness of pulse pile-up rejection renders the analysis of Na, with ultrathin window detectors, in the presence of very high concentrations of O, from ice, more accurate. The accurate analysis of Ca (2 mmol kg-1 ) in the presence of high concentrations of K is possible. Careful sublimation of surface frost from frozen-hydrated samples resulted in a small increase in analysed elemental concentrations. A more prolonged sublimation from the same resurfaced sample and other similar samples resulted in higher element concentrations.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Histology
Materials science
Silicon drift detector
Scanning electron microscope
Detector
Analytical chemistry
01 natural sciences
Microanalysis
Pathology and Forensic Medicine
X ray microanalysis
Frozen hydrated
03 medical and health sciences
030104 developmental biology
Sublimation (phase transition)
010606 plant biology & botany
Subjects
Details
- ISSN :
- 00222720
- Volume :
- 266
- Database :
- OpenAIRE
- Journal :
- Journal of Microscopy
- Accession number :
- edsair.doi...........5f003ee413fca9617c89688f742406a7
- Full Text :
- https://doi.org/10.1111/jmi.12531