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Dive into the research topics where Emmanuel Scorsone is active.

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Featured researches published by Emmanuel Scorsone.


Journal of Micromechanics and Microengineering | 2009

Selective nucleation in silicon moulds for diamond MEMS fabrication

Alexandre Bongrain; Emmanuel Scorsone; Lionel Rousseau; G. Lissorgues; Céline Gesset; Samuel Saada; P. Bergonzo

We present a new and original approach for the fabrication of diamond MEMS using MPCVD. This process does not rely on diamond etching using conventional techniques such as e.g. RIE: here our MEMS structures are geometrically defined using silicon moulds in which diamond is grown selectively. The moulds can be prepared from silicon using DRIE and enabling a wide range of geometries. The critical point is the selectivity of diamond growth which dramatically depends on the nucleation process. Two nucleation methods for selective diamond growth inside silicon moulds were explored in parallel and compared, namely, the bias enhanced nucleation (BEN) and the nano-seeding technique. With both methods, MEMS structures were successfully fabricated and characterized, leading to values for the Young modulus above 830 GPa, thus comparing well with literature values. We believe our approach will ease the routine fabrication of large area diamond MEMS wafers for improved advanced device fabrication.


Sensors | 2012

Multichannel Boron Doped Nanocrystalline Diamond Ultramicroelectrode Arrays: Design, Fabrication and Characterization

Raphael Kiran; Lionel Rousseau; Gaë lle Lissorgues; Emmanuel Scorsone; Alexandre Bongrain; Blaise Yvert; Serge Picaud; Pascal Mailley; P. Bergonzo

We report on the fabrication and characterization of an 8 × 8 multichannel Boron Doped Diamond (BDD) ultramicro-electrode array (UMEA). The device combines both the assets of microelectrodes, resulting from conditions in mass transport from the bulk solution toward the electrode, and of BDDs remarkable intrinsic electrochemical properties. The UMEAs were fabricated using an original approach relying on the selective growth of diamond over pre-processed 4 inches silicon substrates. The prepared UMEAs were characterized by cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The results demonstrated that the electrodes have exhibited a very fast electrode transfer rate (k0) up to 0.05 cm·s−1 (in a fast redox couple) and on average, a steady state limiting current (in a 0.5 M potassium chloride aqueous solution containing 1 mM Fe(CN)64− ion at 100 mV·s−1) of 1.8 nA. The UMEAs are targeted for electrophysiological as well as analytical applications.


Analytical Chemistry | 2012

Quasi-Real Time Quantification of Uric Acid in Urine Using Boron Doped Diamond Microelectrode with in Situ Cleaning

Raphael Kiran; Emmanuel Scorsone; Pascal Mailley; P. Bergonzo

We report herein an innovative electrochemical (EC) technique based on boron doped diamond (BDD) microelectrodes which enable the fast determination of uric acid (UA) concentrations in urine. On the basis of fast cyclic voltammetry (CV), the technique was assessed in human urine samples and compared successfully using routine spectrophotometric diagnosis. The approach relies on the use of BDDs superior properties such as low background current, low adsorption of species, long-term stability, and antifouling capabilities using electrochemical reactivation. Moreover, the article also describes an in situ activation technique, where the electrodes were reactivated within human urine, thereby opening the way toward automatic quantification of UA with in situ cleaning. The time taken to quantify UA concentration and cleaning remains below 0.5 s. Two analytic models were derived, based on different concentrations of ascorbic acid (AA) and uric acid, consisting of 2 s order calibration curves. Solving the second order equation enables the direct estimation of UA concentration, and values demonstrated good accuracy when compared with spectrophotometric measurements.


Langmuir | 2011

High Sensitivity of Diamond Resonant Microcantilevers for Direct Detection in Liquids As Probed by Molecular Electrostatic Surface Interactions

Alexandre Bongrain; Charles Agnès; Lionel Rousseau; Emmanuel Scorsone; Jean-Charles Arnault; Sébastien Ruffinatto; Franck Omnès; Pascal Mailley; Gaeelle Lissorgues; P. Bergonzo

Resonant microcantilevers have demonstrated that they can play an important role in the detection of chemical and biological agents. Molecular interactions with target species on the mechanical microtransducers surface generally induce a change of the beams bending stiffness, resulting in a shift of the resonance frequency. In most biochemical sensor applications, cantilevers must operate in liquid, even though damping deteriorates the vibrational performances of the transducers. Here we focus on diamond-based microcantilevers since their transducing properties surpass those of other materials. In fact, among a wide range of remarkable features, diamond possesses exceptional mechanical properties enabling the fabrication of cantilever beams with higher resonant frequencies and Q-factors than when made from other conventional materials. Therefore, they appear as one of the top-ranked materials for designing cantilevers operating in liquid media. In this study, we evaluate the resonator sensitivity performances of our diamond microcantilevers using grafted carboxylated alkyl chains as a tool to investigate the subtle changes of surface stiffness as induced by electrostatic interactions. Here, caproic acid was immobilized on the hydrogen-terminated surface of resonant polycrystalline diamond cantilevers using a novel one-step grafting technique that could be also adapted to several other functionalizations. By varying the pH of the solution one could tune the -COO(-)/-COOH ratio of carboxylic acid moieties immobilized on the surface, thus enabling fine variations of the surface stress. We were able to probe the cantilevers resonance frequency evolution and correlate it with the ratio of -COO(-)/-COOH terminations on the functionalized diamond surface and consequently the evolution of the electrostatic potential over the cantilever surface. The approach successfully enabled one to probe variations in cantilevers bending stiffness from several tens to hundreds of millinewtons/meter, thus opening the way for diamond microcantilevers to direct sensing applications in liquids. The evolution of the diamond surface chemistry was also investigated using X-ray photoelectron spectroscopy.


IEEE Transactions on Nuclear Science | 2014

Optimization of Actinides Trace Precipitation on Diamond/Si PIN Sensor for Alpha-Spectrometry in Aqueous Solution

Q.T. Tran; Michal Pomorski; J. de Sanoit; Christine Mer-Calfati; Emmanuel Scorsone; P. Bergonzo

We report here on a new approach for the detection and identification of actinides (239Pu, 241Am, 244Cm, etc). This approach is based on the use of a novel device consisting of a boron doped nanocrystalline diamond film deposited onto a silicon PIN diode alpha particle sensor. The actinides concentration is probed in situ in the measuring solution using a method based on electro-precipitation that can be carried out via the use of a doped diamond electrode. The device allows probing directly both alpha-particles activity and energy in liquid solutions. In this work, we address the optimization of the actinides electro-precipitation step onto the sensor. The approach is based on fine tuning the pH of the electrolyte, the nature of the supporting electrolytes (Na2SO4 or NaNO3), the electrochemical cell geometry, the current density value, the precipitation duration as well as the sensor surface area. The deposition efficiency was significantly improved with values reaching for instance up to 81.5% in the case of electro-precipitation of 5.96 Bq241 Am on the sensor. The diamond/silicon sensor can be reused after measurement by performing a fast decontamination step at high yields ≥99%, where the 241Am electro-precipitated layer is quickly removed by applying an anodic current (+2 mA · cm-2 for 10 minutes) to the boron doped nanocrystalline diamond electrode in aqueous solution. This study demonstrated that alpha-particle spectroscopic measurements could be made feasible for the first time in aqueous solutions after an electrochemical deposition process, with theoretical detections thresholds as low as 0.24 Bq · L-1. We believe that this approach can be of very high interest for alpha-particle spectroscopy in liquids for actinides trace detection.


RSC Advances | 2017

Interfacing neurons on carbon nanotubes covered with diamond

Silke Seyock; Vanessa Maybeck; Emmanuel Scorsone; Lionel Rousseau; Clément Hébert; Gaelle Lissorgues; P. Bergonzo; Andreas Offenhäusser

A recently discovered material, carbon nanotubes covered with diamond (DCNTs) was tested for its suitability in bioelectronics applications. Diamond shows advantages for bioelectronics applications (wide electro chemical window and bioinertness). This study investigates the effect of electrode surface shape (flat or three dimensional) on cell growth and behavior. For comparison, flat nanocrystalline diamond substrates were used. Primary embryonic neurons were grown on top of the structures and neither incorporated the structures nor did they grow in between the single structures. The interface was closely examined using focused ion beam (FIB) and scanning electron microscopy. Of special interest was the interface between cell and substrate. 5% to 25% of the cell membrane adhered to the substrate, which fits the theoretical estimated value. While investigating the conformity of the neurons, it could be observed that the cell membrane attaches to different heights of the tips of the 3D structure. However, the aspect ratio of the structures had no effect on the cell viability. These results let us assume that not more than 25% of cell attachment is needed for the survival of a functional neuronal cell.


IEEE Sensors Journal | 2016

Major Urinary Proteins on Nanodiamond-Based Resonators Toward Artificial Olfaction

Emmanuel Scorsone; Raafa Manai; Maria Jimena Ricatti; Marco Redaelli; P. Bergonzo; Krishna C. Persaud; Carla Mucignat

A new bio-sensing platform based on major urinary proteins (MUPs) from the mouse as chemical recognition elements has been developed. The transducers were surface acoustic devices coated with diamond nanoparticles as an intermediate layer enabling covalent attachment of the proteins. The resulting sensors detected 2,4-Dinitrotoluene, 4-Nitrotoluene, and 2-Isobutyl-3-methoxypyrazine at ppb levels. The best sensor showed a sensitivity of 24000 Hz · ppm-1 to 2, 4-DNT when grafted with the protein MUP20. Trends in the sensitivity of the various VOC sensors were compared with the association constant values Ka of the proteins to target ligands measured by competitive assay in liquid phase. The system is able to detect analytes both in liquid as well as vapor phase and indicate that MUPs are robust bio-recognition elements that can be utilized in artificial olfaction applications.


IEEE Sensors Journal | 2017

SAW Sensor’s Frequency Shift Characterization for Odor Recognition and Concentration Estimation

Olivier Hotel; Jean-Philippe Poli; Christine Mer-Calfati; Emmanuel Scorsone; Samuel Saada

In this paper, we propose an approach to determine the time constants and the amplitudes of the mass loading effect and of the viscoelastic contribution of SAW sensor’s frequency shift. This approach consists in optimizing a function of these parameters, which is independent of the concentration profile. We experimentally establish in laboratory conditions (


Materials Science and Engineering: C | 2016

Monitoring the evolution of boron doped porous diamond electrode on flexible retinal implant by OCT and in vivo impedance spectroscopy.

Clément Hébert; Myline Cottance; Julie Degardin; Emmanuel Scorsone; Lionel Rousseau; Gaelle Lissorgues; P. Bergonzo; Serge Picaud

T


Journal of Vacuum Science & Technology. B. Nanotechnology and Microelectronics: Materials, Processing, Measurement, and Phenomena | 2015

Photoemission properties of nanocrystalline diamond thin films on silicon

Jean-Paul Mazellier; Cyril Di Giola; Pierre Legagneux; Clément Hébert; Emmanuel Scorsone; P. Bergonzo; Samuel Saada

= 22 °C), on a data set composed of seven different gases, that these features are suitable for chemical compounds identification. In particular, we obtain a higher classification rate than the traditional amplitudes of the signals during the steady state, and we show that the classification success rate can be increased by using both of them in conjunction with a feature subset selection heuristic. We also propose a method based on deconvolution and kernel regression to estimate the temporal concentration profile.

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P. Bergonzo

University College London

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Pascal Mailley

Centre national de la recherche scientifique

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