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    • 9. 发明申请
    • VISIBLE/NEAR-INFRARED SPECTRUM ANALYZING METHOD AND GRAPE FERMENTING METHOD
    • 可见/近红外光谱分析方法和光栅发光方法
    • US20100297291A1
    • 2010-11-25
    • US12679126
    • 2008-09-22
    • Kentaro ShinodaEiiti OkawaTakahiro Imai
    • Kentaro ShinodaEiiti OkawaTakahiro Imai
    • C12G1/00G01N33/48G01N21/35C12G1/02
    • G01N21/359G01N21/3563G01N2021/8592G01N2201/1293
    • A visible/near-infrared spectrum analyzing method for identifying components of a sample and determining characteristics of the components using visible light and/or near-infrared light having a wavelength of 400 to 2500 nm. The quantitative determination of the components, which have been conventionally hard to identify, of a grape of a small fruit cultivar for wine making can be made in a nondestructive way. A grape of a small fruit cultivar for wine making (a sample under examination) is irradiated with visible light and/or near-infrared light having a wavelength of 600 to 1100 nm and is subjected to spectrum determination of the sample and an absorption spectrum is determined from the obtained spectrum. By employing a multivariate statistical analysis (hereinafter referred to multivariate analysis) by the PLS or MLR method, a model enabling quantitative determination of the components of the sample under examination is created.
    • 一种可见/近红外光谱分析方法,用于识别样品的组分,并使用波长为400至2500nm的可见光和/或近红外光确定组分的特性。 通常难以鉴定的用于酿造的小型水果品种的葡萄的成分的定量测定可以非破坏性地进行。 将用于制酒的小水果品种(待检样品)的葡萄用可见光和/或具有600至1100nm波长的近红外光照射并进行样品的光谱测定,吸收光谱为 由所得光谱确定。 通过采用PLS或MLR方法进行多变量统计分析(以下称为多变量分析),可以建立能够定量确定被检样品成分的模型。