2 articles published in JoVE
Measurements of Long-range Electronic Correlations During Femtosecond Diffraction Experiments Performed on Nanocrystals of Buckminsterfullerene Rebecca A. Ryan1, Sophie Williams1, Andrew V. Martin1, Ruben A. Dilanian1, Connie Darmanin2, Corey T. Putkunz1, David Wood3, Victor A. Streltsov4, Michael W.M. Jones5, Naylyn Gaffney6, Felix Hofmann7, Garth J. Williams8, Sebastien Boutet9, Marc Messerschmidt10, M. Marvin Seibert11, Evan K. Curwood11, Eugeniu Balaur2, Andrew G. Peele5, Keith A. Nugent2, Harry M. Quiney1, Brian Abbey2 1ARC Centre of Excellence in Advanced Molecular Imaging, School of Physics, University of Melbourne, 2Australian Research Council (ARC) Centre of Excellence in Advanced Molecular Imaging, Department of Chemistry and Physics, La Trobe Institute for Molecular Sciences, La Trobe University, 3Department of Physics, Imperial College London, 4Florey Institute of Neuroscience and Mental Health, 5Science and Engineering Faculty, Queensland University of Technology, 6Swinburne University of Technology, 7Department of Engineering Science, University of Oxford, 8Brookhaven National Laboratory, 9Linac Coherent Light Source, SLAC National Accelerator Laboratory, 10BioXFEL Science and Technology Center, 11Laboratory of Molecular Biophysics, Department of Cell and Molecular Biology, Uppsala University, 12Australian Synchrotron We describe an experiment designed to probe the electronic damage induced in nanocrystals of Buckminsterfullerene (C60) by intense, femtosecond pulses of X-rays. The experiment found that, surprisingly, rather than being stochastic, the X-ray induced electron dynamics in C60 are highly correlated, extending over hundreds of unit cells within the crystals1.
Standards for Quantitative Metalloproteomic Analysis Using Size Exclusion ICP-MS Amber Lothian1, Blaine R. Roberts1 1Metalloproteomics Laboratory, Neuroproteomics Facility, The Florey Institute of Neuroscience and Mental Health Size exclusion chromatography hyphenated with inductively coupled plasma - mass spectrometry (ICP-MS) is a powerful tool to measure changes in the abundance of metalloproteins directly from biological samples. Here we describe a set of metalloprotein standards used to estimate molecular mass and the amount of metal associated with unknown proteins.