Method for evaluating the heat treatment to which a proteinic nutrient such as milk is subjected
    1.
    发明授权
    Method for evaluating the heat treatment to which a proteinic nutrient such as milk is subjected 有权
    用于评估蛋白质营养物如牛奶所经受的热处理的方法

    公开(公告)号:US06413779B1

    公开(公告)日:2002-07-02

    申请号:US09147739

    申请日:1999-02-26

    CPC classification number: G01N33/6842 G01N33/04 G01N33/68

    Abstract: The invention concerns a method for evaluating the hot treatment to which a proteinic nutrient such as milk is subjected. It consists in the following steps: a) taking a sample of said nutrient and adding thereto an ionic strength pad and appropriate pH for obtaining a precipitate of proteins denatured by the hot treatment and a transparent supenatant containing proteins which are still soluble; b) analysing the tryptophan present in the supernatant; and c) analysing the fluorescent by-products derived from the advanced Maillard reaction present in the supernatant. The invention is useful in methods for hot treatment of proteinic nutrients.

    Abstract translation: 本发明涉及一种用于评估蛋白质营养物如牛奶所经受的热处理的方法。 它包括以下步骤:a)取所述营养物的样品并加入离子强度垫和适当的pH以获得通过热处理变性的蛋白质的沉淀物和含有仍然可溶的蛋白质的透明延胡索; b)分析上清液中存在的色氨酸; 和c)分析源自上清液中存在的高级美拉德反应的荧光副产物。 本发明可用于热处理蛋白质营养物质的方法。

    METHOD AND SPECTROSCOPIC ANALYSIS APPLIANCE, ESPECIALLY FOR ANALYSING FOOD, WITH MULTI-CHANNEL TREATMENT OF SPECTRAL DATA
    2.
    发明申请
    METHOD AND SPECTROSCOPIC ANALYSIS APPLIANCE, ESPECIALLY FOR ANALYSING FOOD, WITH MULTI-CHANNEL TREATMENT OF SPECTRAL DATA 有权
    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

    公开(公告)号:US20120280146A1

    公开(公告)日:2012-11-08

    申请号:US13516358

    申请日:2010-12-08

    CPC classification number: G01N21/64 G01N33/02 G01N2021/6419 G01N2201/129

    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. The invention also relates to an appliance for implementing such a method.

    Abstract translation: 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,每个光谱对应于相应的发光激发光线; 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示符中选择的至少一个参数和表征已经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50nm。 本发明还涉及一种用于实现这种方法的设备。

    Method and spectroscopic analysis appliance, especially for analysing food, with multi-channel treatment of spectral data
    3.
    发明授权
    Method and spectroscopic analysis appliance, especially for analysing food, with multi-channel treatment of spectral data 有权
    方法和光谱分析仪器,特别是用于分析食物,多通道处理光谱数据

    公开(公告)号:US08987686B2

    公开(公告)日:2015-03-24

    申请号:US13516358

    申请日:2010-12-08

    CPC classification number: G01N21/64 G01N33/02 G01N2021/6419 G01N2201/129

    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 translation: 提供了一种用于样品的光谱分析的方法。 该方法包括通过具有各种波长的多个发光激发光照射要分析的样品; 前额叶荧光光谱的获取和预处理,每个光谱对应于相应的发光激发光线; 对于每个样本,通过将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样本的质量指标中选择的至少一个参数和表征已经应用于样本的方法的参数。 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至少为50nm。 本发明还涉及一种用于实现这种方法的设备。

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