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    • 3. 发明申请
    • METHOD AND SPECTROSCOPIC ANALYSIS APPLIANCE, ESPECIALLY FOR ANALYSING FOOD, WITH MULTI-CHANNEL TREATMENT OF SPECTRAL DATA
    • 方法和光谱分析仪器,特别用于分析食品,具有多通道处理光谱数据
    • WO2011080408A2
    • 2011-07-07
    • PCT/FR2010000826
    • 2010-12-08
    • SPECTRALYS INNOVATIONRIZKALLAH JADBIRLOUEZ-ARAGON INES
    • RIZKALLAH JADBIRLOUEZ-ARAGON INES
    • G01N21/64G01N33/02
    • G01N21/64G01N33/02G01N2021/6419G01N2201/129
    • 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 20 nm, preferably 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.
    • 本发明涉及一种使用基于多通道统计模型分析光谱数据的方法对至少一个样品进行光谱分析的方法,所述方法包括:通过多个 具有各种波长的发光激发光; 前额叶荧光光谱的获取和预处理,每个光谱对应于各自的发光激发光线; 对于每个样本,通过将所述多通道统计模型应用于预处理的光谱来计算得分矢量; 以及从所述得分向量确定从所述或每个样本的质量指标中选择的至少一个参数和表征已应用于所述样本或每个样本的方法的参数; 该方法的特征在于,在至少100nm的光谱范围内,发光激发光线之间的平均光谱距离为至少20nm,优选至少50nm。 本发明还涉及一种用于实现这种方法的设备。