Sample introduction of single selenized yeast cells (Saccharomyces cerevisiae) by micro droplet generation into an ICP-sector field mass spectrometer for label-free detection of trace elements

Kaori Shigeta(Tokyo Institute of Technology), Gunda Koellensperger(BOKU University), Evelyn Rampler(BOKU University), Heike Traub(Federal Institute For Materials Research and Testing), Lothar Rottmann(Thermo Fisher Scientific (Germany)), Ulrich Panne(Federal Institute For Materials Research and Testing), Akitoshi Okino(Tokyo Institute of Technology), Norbert Jakubowski(Federal Institute For Materials Research and Testing)
Journal of Analytical Atomic Spectrometry
January 1, 2013
Cited by 87

Abstract

We have applied a micro droplet generator (μDG) for sample introduction of single selenized yeast cells into a sector field ICP-MS, which was operated in a fast scanning mode with sampling rates of up to 10 kHz, to measure single cells time resolved with 100 μs integration time. Selenized yeast cells have been used as a model system for preliminary investigation. The single cells to be measured have been embedded into droplets and it will be shown that the time duration of a single cell event always is about 400 to 500 μs, and thus comparable to the time duration of a droplet without a cell. A fixed droplet generation rate of 50 Hz produced equidistant signals in time of each droplet event and was advantageous to separate contribution from background and blank from the analytical signal. Open vessel digestion and a multielement analysis were performed with washed yeast cells and absolute amounts per single cell were determined for Na (0.91 fg), Mg (9.4 fg), Fe (5.9 fg), Cu (0.54 fg), Zn (1.2 fg) and Se (72 fg). Signal intensities from single cells have been measured for the elements Cu, Zn and Se, and histograms were calculated for about 1000 cell events. The mean elemental sensitivities measured here range from 0.7 counts per ag (Se) to 10 counts per ag (Zn) with RSD's from 49% (Zn) to 69% (Se) for about 1000 cell events.


Related Papers

No related papers found

Powered by citation graph analysis