This work demonstrates the capabilities of nanoscale secondary-ion mass spectrometry, using the Cameca NanoSIMS50 ion microprobe, to detect and image the copper-ion distribution in microalgal cells exposed to nanomolar and micromolar copper concentrations. In parallel to (63)Cu(-) secondary-ion maps, images of (12)C(-), (12)C(14)N(-), and (31)P(-) secondary ions were collected and analysed. A correlation of (63)Cu(-) secondary-ion maps with those found for (12)C(14)N(-) and (31)P(-) demonstrated the possible association of Cu with cell components rich in proteins and phosphorus. The results highlighted the potential of NanoSIMS for intracellular tracking of essential trace elements such as Cu in single cells of the microalga Chlorella kesslerii.
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http://dx.doi.org/10.1007/s00216-008-2486-x | DOI Listing |
J Hazard Mater
November 2011
Department of Plant Biology and Soil Science, Faculty of Biology, University of Vigo, Lagoas, Marcosende, 36310 Vigo, Pontevedra, Spain.
Relatively new techniques can help in determining the occurrence of mineral species and the distribution of contaminants on soil surfaces such as natural minerals and organic matter. The Bt horizon from an Endoleptic Luvisol was chosen because of its well-known sorption capability. The samples were contaminated with Cu(2+) and/or Pb(2+) and both sorption and desorption experiments were performed.
View Article and Find Full Text PDFAnal Bioanal Chem
January 2009
Environmental Biophysical Chemistry, Environmental Science and Technology Institute, School of Architecture, Civil and Environmental Engineering, Ecole Polytechnique Fédérale de Lausanne, Station 2, 1015, Lausanne, Switzerland.
This work demonstrates the capabilities of nanoscale secondary-ion mass spectrometry, using the Cameca NanoSIMS50 ion microprobe, to detect and image the copper-ion distribution in microalgal cells exposed to nanomolar and micromolar copper concentrations. In parallel to (63)Cu(-) secondary-ion maps, images of (12)C(-), (12)C(14)N(-), and (31)P(-) secondary ions were collected and analysed. A correlation of (63)Cu(-) secondary-ion maps with those found for (12)C(14)N(-) and (31)P(-) demonstrated the possible association of Cu with cell components rich in proteins and phosphorus.
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