Patents Assigned to SPECTRALYS INNOVATION
  • Patent number: 11965829
    Abstract: A device for spectroscopically analysing a grain sample may include a first infrared analysis module, a second fluorescence analysis module, a third specific weight analysis module and a processing module. Each of the first and second modules may include a measurement chamber, an excitation submodule to emit at least one electromagnetic radiation towards at least a portion of the sample, a measurement submodule, and a draining system. The third analysis module may include a container, and a measurement submodule to measure a specific weight of the sample. A processing module may be connected to each of the modules and may include a memory to receive data transmitted by a communication network, the data including electromagnetic spectra acquired and specific weights measured, and a processor to couple the data received in the memory and to determine an indicator of quality of the sample from the coupled data.
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: April 23, 2024
    Assignee: Spectralys Innovation
    Inventors: Clément Voisin, Olivier Charles-Francois, Papus Boutaouakou, Monji Messaoudi, Stéphane Oddos
  • Publication number: 20240027339
    Abstract: A device is for analyzing a heterogeneous sample (S). The device includes a measurement module having a reservoir configured to accommodate the sample (S), a first infrared spectroscopy subassembly and a second fluorescence spectroscopy subassembly. The first subassembly includes a diffusing optical element which is positioned so as to allow the implementation of reliable infrared spectroscopy measurements with a high precision without degrading the fluorescence spectroscopy measurements which take place on the same sample. The device includes a processing module connected to the measurement module by a communication network and a processor configured to analyze the data obtained by infrared spectroscopy and fluorescence spectroscopy.
    Type: Application
    Filed: August 20, 2021
    Publication date: January 25, 2024
    Applicant: Spectralys Innovation
    Inventors: Abdelhaq Acharid, Ines Birlouez, Papus Boutaouakou, Olivier Charles-Francois, Elliot Legrand, Monji Messaoudi, Stephane Oddos, Clement Voisin
  • Publication number: 20190369013
    Abstract: Method for analysing at least one sample, implementing a method for analysing spectroscopic data based on a multiway statistical model, characterised in that it comprises: a) the illumination of said or of each sample to be analysed by a first light source and by a second light source, said at least one second light source being separate from said first light source; b) the acquisition of fluorescence spectrums from said or from each sample, said fluorescence spectrums resulting from the illumination of said or of each sample by one or more light beams emitted by said first light source; c) the acquisition of transmittance and/or reflectance spectrums from said or from each sample, said transmittance and/or reflectance spectrums resulting from the illumination of said or of each sample by one or more light beams emitted by said second light source; d) the organisation of said fluorescence spectrums acquired into a first acquisition data cube; e) the organisation of said transmittance and/or reflectance spectr
    Type: Application
    Filed: January 31, 2017
    Publication date: December 5, 2019
    Applicant: SPECTRALYS INNOVATION
    Inventors: Inès Birlouez-Aragon, Pierre Lacotte, Abdelhaq Acharid, Fatma Allouche, Jad Rizkallah
  • Patent number: 9933361
    Abstract: The invention relates to a method for estimating denatured serum proteins in milk that has undergone a heat treatment. The method has the following successive steps: (a) rendering a sample of the milk transparent, (b) measuring diffusion in the transparent sample in order to deduce a first denatured serum protein (DSP) index representative of the concentration of denatured serum proteins.
    Type: Grant
    Filed: March 25, 2015
    Date of Patent: April 3, 2018
    Assignee: SPECTRALYS INNOVATION
    Inventors: Inès Birlouez, Pierre Lacotte, Abdelhaq Acharid
  • Publication number: 20170138848
    Abstract: The invention relates to a method for estimating denatured serum proteins in milk that has undergone a heat treatment, said method comprising the successive steps consisting in: (a) rendering a sample of the milk transparent, (b) measuring diffusion in the transparent sample in order to deduce a first denatured serum protein (DSP) index representative of the concentration of denatured serum proteins.
    Type: Application
    Filed: March 25, 2015
    Publication date: May 18, 2017
    Applicant: SPECTRALYS INNOVATION
    Inventors: Inès Birlouez, Pierre Lacotte, Abdelhaq Acharid
  • Patent number: 8987686
    Abstract: A method for the spectroscopic analysis of a sample is provided. The method including the illumination of the sample to be analyzed by a plurality of luminous excitation rays with respective wavelengths; the acquisition and the pre-treatment of frontal fluorescence spectra, each spectrum corresponding to a respective luminous excitation ray; for each sample, the calculation of a score vector by applying a multi-channel statistical model to the pre-treated spectra; and the determination of at least one parameter selected from a quality indicator of the sample and a parameter characterizing a method that has been applied to the sample, from said score vector. The average spectral distance between the luminous excitation rays is at least 50 nm, over a spectral range of at least 100 nm. The invention also relates to an appliance for implementing such a method.
    Type: Grant
    Filed: December 8, 2010
    Date of Patent: March 24, 2015
    Assignee: Spectralys Innovation
    Inventors: Jad Rizkallah, Inès Birlouez-Aragon
  • Publication number: 20130112895
    Abstract: The invention relates to a method for characterising one or more samples of an agri-food product, in particular intended for determining the naturality, freshness and authenticity of such a product and/or the conformity of same with a target product. The method of the invention is characterised in that it comprises: acquiring a plurality of natural fluorescence spectra of the sample; applying a multivariate or multi-path analysis method to said spectra, wherein said method provides a limited number F of variables representing said or each sample, in order to enable the representation thereof by a point (PE) in a space having F dimensions; calculating a distance (D) between said point representing said or each sample and a target (C1) representing one or more reference samples; and determining a characteristic of said or each sample according to said distance (D).
    Type: Application
    Filed: June 15, 2011
    Publication date: May 9, 2013
    Applicant: SPECTRALYS INNOVATION
    Inventors: Inés Birlouez-Aragon, Jad Rizkallah
  • Publication number: 20120280146
    Abstract: The invention relates to a method for the spectroscopic analysis of at least one sample, using a method for analysing spectroscopic data based on a multi-channel statistical model, said method comprising: the illumination of said or each sample to be analysed by a plurality of luminous excitation rays with respective wavelengths; the acquisition and the pre-treatment of frontal fluorescence spectra, each spectrum corresponding to a respective luminous excitation ray; for each sample, the calculation of a score vector by applying said multi-channel statistical model to the pre-treated spectra; and the determination of at least one parameter selected from a quality indicator of said or each sample and a parameter characterising a method that has been applied to said or each sample, from said score vector; the method being characterised in that the average spectral distance between the luminous excitation rays is at least 50 nm, over a spectral range of at least 100 nm.
    Type: Application
    Filed: December 8, 2010
    Publication date: November 8, 2012
    Applicant: SPECTRALYS INNOVATION
    Inventors: Jad Rizkallah, Inès Birlouez-Aragon