Alpha M.o.s.

Centre National De La Recherche Scientifique

Alpha Mos S.a.

François Loubet

Jean-Christophe Mifsud

Alain Gaudon

Saïd Labreche

Sandrine Isz

Errol Mark Rodda

Hicham Amine

Chang Hyun Shim

Chang-Hyun Shim

Sébastien Pelletier

Philippe Menini

Eric Chanie

Olivier Cabrol

Hervé Lechat

A modular fluid characterisation system is provided. The modular fluid characterisation system includes a sampling unit containing optional pre-processing units to condition samples, and a valve network to distribute samples to one or more characterisation modules. Each characterisation module includes one or more instruments for characterising samples, and optional additional pre-processing units. Characterising modules can be added or removed depending on operational requirements. Sample flows are controlled in accordance with an automated characterisation program, and resulting characterisation may be obtained on the basis of a combination of results from different characterisation modules with regard to the characterisation program.

Method and device for characterising a fluid sample

The invention relates to a method for the identification of an analyte in a sample fluid. The method comprises the performance of a set of measurements on at least two sensors of different types. Sensors of different types may comprise Gas Chromatography sensors, CMOS gas sensors, a combination thereof, or more generally sensors in which it is possible to control a first physical parameter and measure, for different values of the first parameter, a second physical parameter representative of at least a concentration of the analyte. The method comprises the detection of maxima of the second parameter, the access to databases in order to find reference values of the first parameters in which maxima are found, and the comparison of values at which maxima are found and reference values, on the two sensors.

Method for identifying an analyte in a fluid

An olfactometer or 'electronic nose' is able to vary a plurality of operating parameters during a test cycle in parallel, in accordance with a measurement protocol. This measurement protocol, and correspondingly the operating parameters to be varied, the values to be set for those parameters, and the timing of the variation in these values is tailored to most effectively distinguish between likely candidates in a particular testing scenario. A characterisation library is then used to match the results of the measurement protocol to the best target in the characterisation library. Test protocols and/or characterisation libraries may be downloaded from a remote server on demand, and certain activities may be carried out either locally or remotely.

Gas sensor controller

A hybrid device comprising Metal Oxide Sensors in a Gas Chromatography column is described, whereby the readings from the MOS devices will vary along the column in reaction to the sample reflecting the differential delays imposed on the components of the sample depending on the elutive effect of the adsorbent lining the column for the respective component. By this means, a family of readings is obtained, any one of which may be easier to interpret for a particular sample, and which may be compared amongst themselves providing an additional measurement dimension. The behavior of later sections of column or sensors may be modified dynamically during a measurement cycle depending on the readings obtained at the earlier stages.

Gas chromatograph

The comparative analysis of a sample, derived from a product, with respect to a database comprises the step of determining the class membership of the different characteristics (variables) describing the samples: whether they are characteristics common to the sample under test and the database, they are characteristics particular to the sample under test, or they are characteristics particular to the database. The assignment of the variables to these classes enables parameters to be defined for global comparison of the sample under test and the database, based on: ratios summarizing the values taken by the variables of the different classes, or the distribution of the variables of the different classes. A machine implementation of the analysis is described.

Comparative analysis of a sample relative to a database

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Avignonet-Lauragais, France

François Loubet