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

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.

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).

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.