Giant Magnetoresistance In Cluster-assembled Nanostructures: A Quantitative Approach

In a recent publication [1] we have discussed qualitatively the applicability of commonly used assumptions and models in the description of giant magnetoresistance in granular media by comparing to well-defined cluster-assembled nanostructures of cobalt clusters embedded in copper thin films. In this article we present a quantitative analysis and discuss the relevant parameters appearing in the model. © Published under licence by IOP Publishing Ltd.5211 Region Languedoc-Roussillon,Universite de Perpignan Via DomitiaOyarzún, S., Domingues Tavares De Sa, A., Tuaillon-Combes, J., Tamion, A., Hillion, A., Boisron, O., Mosset, A., Hillenkamp, M., (2013) J. Nanopart. Res., 15 (9), p. 1968. , 10.1007/s11051-013-1968-8 1388-0764Perez, A., Dupuis, V., Tuaillon-Combes, J., Bardotti, L., Prevel, B., Bernstein, E., Melinon, P., Jamet, M., Functionalized cluster-assembled magnetic nanostructures for applications to high integration-density devices (2005) Advanced Engineering Materials, 7 (6), pp. 475-485. , DOI 10.1002/adem.200400220Tamion, A., Hillenkamp, M., Tournus, F., Bonet, E., Dupuis, V., (2009) Appl Phys. Lett., 95 (6), p. 062503. , 10.1063/1.3200950 0003-6951Allia, P., Knobel, M., Tiberto, P., Vinai, F., (1995) Phys. Rev., 52 (21), pp. 15398-15411. , 10.1103/PhysRevB.52.15398 0163-1829 BBatlle, X., Labarta, A., (2002) J. Phys. D: Appl. Phys., 35 (6), pp. 15-R42. , 0022-3727 201Zhang, S., Levy, P.M., (1993) J. Appl. Phys., 73 (10), p. 5315. , 10.1063/1.353766 0021-8979Rubin, S., Holdenried, M., Micklitz, H., (1998) Eur. Phys. J., 5 (1), pp. 23-28. , 10.1007/s100510050414 1434-6028 BTamion, A., Hillenkamp, M., Tournus, F., Bonet, E., Dupuis, V., (2012) Appl. Phys. Lett., 100 (13), p. 136102. , 10.1063/1.3696891 0003-6951Henriquez, R., Cancino, S., Espinosa, A., Flores, M., Hoffmann, T., Kremer, G., Lisoni, J.G., Munoz, R.C., (2010) Phys. Rev., 82 (11), p. 113409. , 10.1103/PhysRevB.82.113409 1098-0121 BHenriquez, R., Moraga, L., Kremer, G., Flores, M., Espinosa, A., Munoz, R.C., (2013) Appl. Phys. Lett., 102 (5), p. 051608. , 10.1063/1.4791600 0003-695

Conductance Fluctuations of Generic Billiards: Fractal or Isolated?

We study the signatures of a classical mixed phase space for open quantum systems. We find the scaling of the break time up to which quantum mechanics mimics the classical staying probability and derive the distribution of resonance widths. Based on these results we explain why for mixed systems two types of conductance fluctuat ions were found: quantum mechanics divides the hierarchically structured chaotic component of phase space into two parts - one yields fractal conductance fluctuations while the other causes isolated resonances. In general, both types appear together, but on different energy scales.Comment: restructured and new figure

Spin-dependent transport in cluster-assemblednanostructures: influence of cluster size and matrix material

Abstract.: Spin-dependent transport in granular metallic nanostructures has been investigated by means of a thermoelectric measurement. Cobalt clusters of well-defined size (〈n〉 = 15-600) embedded in copper and silver matrices show magnetic field responses of up to several hundred percent at low temperature. The experimental observations are attributed to spin mixing. The influence of cluster size and matrix are discusse

Spin mixing processes in magnetic nanostructures detected by thermoelectric measurements

Spin-dependent transport properties of magnetic nanostructures have been investigated by means of magneto-thermogalvanic voltage measurements: the ac voltage response to an ac temperature oscillation is measured for various magnetic nanostructures under dc current. The samples studied include Co/Cu multilayered nanowires, homogeneous Ni nanowires and cobalt clusters embedded in copper films. The magnetic field dependence of this signal is always larger than the magneto-resistance (MR) and may be anisotropic even when the MR is not. A thermodynamic argument introduces spin mixing as the main process measured by this novel thermoelectric measurement technique. This effect is not observed in magnetite as can be justified by the absence of an accessible second spin channel

The Buffer Gas Beam: An Intense, Cold, and Slow Source for Atoms and Molecules

Beams of atoms and molecules are stalwart tools for spectroscopy and studies of collisional processes. The supersonic expansion technique can create cold beams of many species of atoms and molecules. However, the resulting beam is typically moving at a speed of 300-600 m/s in the lab frame, and for a large class of species has insufficient flux (i.e. brightness) for important applications. In contrast, buffer gas beams can be a superior method in many cases, producing cold and relatively slow molecules in the lab frame with high brightness and great versatility. There are basic differences between supersonic and buffer gas cooled beams regarding particular technological advantages and constraints. At present, it is clear that not all of the possible variations on the buffer gas method have been studied. In this review, we will present a survey of the current state of the art in buffer gas beams, and explore some of the possible future directions that these new methods might take

Classification of cancer cell lines using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and statistical analysis

Over the past decade, matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry (MALDI‑TOF MS) has been established as a valuable platform for microbial identification, and it is also frequently applied in biology and clinical studies to identify new markers expressed in pathological conditions. The aim of the present study was to assess the potential of using this approach for the classification of cancer cell lines as a quantifiable method for the proteomic profiling of cellular organelles. Intact protein extracts isolated from different tumor cell lines (human and murine) were analyzed using MALDI‑TOF MS and the obtained mass lists were processed using principle component analysis (PCA) within Bruker Biotyper® software. Furthermore, reference spectra were created for each cell line and were used for classification. Based on the intact protein profiles, we were able to differentiate and classify six cancer cell lines: two murine melanoma (B16‑F0 and B164A5), one human melanoma (A375), two human breast carcinoma (MCF7 and MDA‑MB‑231) and one human liver carcinoma (HepG2). The cell lines were classified according to cancer type and the species they originated from, as well as by their metastatic potential, offering the possibility to differentiate non‑invasive from invasive cells. The obtained results pave the way for developing a broad‑based strategy for the identification and classification of cancer cell

Classification of cancer cell lines using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and statistical analysis

Over the past decade, matrix-assisted laser desorption/ionization time‑of‑flight mass spectrometry (MALDI‑TOF MS) has been established as a valuable platform for microbial identification, and it is also frequently applied in biology and clinical studies to identify new markers expressed in pathological conditions. The aim of the present study was to assess the potential of using this approach for the classification of cancer cell lines as a quantifiable method for the proteomic profiling of cellular organelles. Intact protein extracts isolated from different tumor cell lines (human and murine) were analyzed using MALDI‑TOF MS and the obtained mass lists were processed using principle component analysis (PCA) within Bruker Biotyper® software. Furthermore, reference spectra were created for each cell line and were used for classification. Based on the intact protein profiles, we were able to differentiate and classify six cancer cell lines: two murine melanoma (B16‑F0 and B164A5), one human melanoma (A375), two human breast carcinoma (MCF7 and MDA‑MB‑231) and one human liver carcinoma (HepG2). The cell lines were classified according to cancer type and the species they originated from, as well as by their metastatic potential, offering the possibility to differentiate non‑invasive from invasive cells. The obtained results pave the way for developing a broad‑based strategy for the identification and classification of cancer cell

Prediction of Extracellular Proteases of the Human Pathogen Helicobacter pylori Reveals Proteolytic Activity of the Hp1018/19 Protein HtrA

Exported proteases of Helicobacter pylori (H. pylori) are potentially involved in pathogen-associated disorders leading to gastric inflammation and neoplasia. By comprehensive sequence screening of the H. pylori proteome for predicted secreted proteases, we retrieved several candidate genes. We detected caseinolytic activities of several such proteases, which are released independently from the H. pylori type IV secretion system encoded by the cag pathogenicity island (cagPAI). Among these, we found the predicted serine protease HtrA (Hp1019), which was previously identified in the bacterial secretome of H. pylori. Importantly, we further found that the H. pylori genes hp1018 and hp1019 represent a single gene likely coding for an exported protein. Here, we directly verified proteolytic activity of HtrA in vitro and identified the HtrA protease in zymograms by mass spectrometry. Overexpressed and purified HtrA exhibited pronounced proteolytic activity, which is inactivated after mutation of Ser205 to alanine in the predicted active center of HtrA. These data demonstrate that H. pylori secretes HtrA as an active protease, which might represent a novel candidate target for therapeutic intervention strategies

High-Affinity Capture of Proteins by Diamond Nanoparticles for Mass Spectrometric Analysis

Carboxylated/oxidized diamond nanoparticles (nominal size 100 nm) exhibit exceptionally high affinity for proteins through both hydrophilic and hydrophobic forces. The affinity is so high that proteins in dilute solution can be easily captured by diamonds, simply separated by centrifugation, and directly analyzed by matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS). No preseparation of the adsorbed molecules from diamonds is required for the mass spectrometric analysis. Compared to conventional MALDI-TOF-MS, an enhancement in detection sensitivity by more than 2 orders of magnitude is achieved for dilute solution containing cytochrome c, myoglobin, and albumin because of preconcentration of the probed molecules. The lowest concentration detectable is 100 pM for a 1-mL solution. Aside from the enhanced sensitivity, the overall performance of this technique does not show any sign of deterioration for highly contaminated protein solutions, and furthermore, no significant peak broadening and band shift were observed in the mass spectra. The promise of this new method for clinical proteomics research is demonstrated with an application to human blood serum. Matrix-assisted laser desorption/ionization (MALDI) 1 time-offlight (TOF) mass spectrometry (MS) is a mainstream tool in current high-throughput mass analysis of biopolymers. 2 The MALDI technique, however, suffers from the shortcoming that it lacks sample specificity and its performance deteriorates markedly for samples containing multiple components and excessive amounts of salts or surfactants. 3 Surface-enhanced laser desorption/ ionization (SELDI) is one of the techniques 4-10 developed to circumvent these problems. In this method, 4 micrometer-sized (typically 80-300 µm in diameter) agarose beads made for affinity chromatography columns were used to capture proteins of interest in crude sample solutions. The microbeads were then recovered, washed, placed on the LDI probe tip, and analyzed with regular MALDI-TOF-MS. Unfortunately, direct analysis of the surfacebound proteins is often accompanied with undesired decrease in mass resolution as well as mass accuracy ascribed to the interference from the beads in ion formation and extraction. One solution to this problem is to directly immobilize proteins onto the surface of the LDI probe without use of the microbeads. 7 The approach again suffers from the shortcoming that the number of binding sites is quite limited, ∼1 × 10 13 molecules/cm 2 or ∼160 fmol/mm 2 for a single layer of proteins on the probe surface. The obstacle was later removed by immobilization of the proteins to high molecular weight dextrans precoated covalently on the LDI probe. 8 An approximate 500 times more sample could be loaded, although the dextran immobilization process is rather timeconsuming. We have previously shown 11 that diamond is an exceptional platform for protein adsorption and immobilization. The optical transparency, chemical inertness, and biological compatibility of the material endow diamond nanoparticles with novel and promising biotechnological applications. Preliminary tests with cytochrome c physisorbed to carboxylated/oxidized diamond particles of 5 and 100 nm in size indicate that the specially prepared diamond surfaces exhibit remarkably high affinity for proteins containing amino acid residues with basic side chains. This unique feature along with the fact that diamond is optically transparent up to the UV region motivated us to explore the possibility of using diamond nanoparticles for SELDI-TOF-MS. The advantage of using nanoparticles over microbeads is manyfold. First, nanoparticles have a much larger surface area-to-mass ratio, nearly 3 orders of magnitude higher than that of microbeads; second, the extent to which nanoparticles interfere with the laser desorption/ ionization process is diminished because of the smallness of the particles; third, nanoparticles can be embedded more firmly in the LDI matrix crystals than microbeads, thereby reducing material loss during sample preparation and analysis. There have been several applications of metallic, semiconducting as well as polymeric nanoparticles for mass spectrometric analysis of biopoly