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    • 1. 发明授权
    • Method for estimating molecule concentrations in a sampling and equipment therefor
    • 估计采样中的分子浓度的方法及其设备
    • US07949476B2
    • 2011-05-24
    • US12195848
    • 2008-08-21
    • Gregory StrubelJean-Francois GiovannelliPierre Grangeat
    • Gregory StrubelJean-Francois GiovannelliPierre Grangeat
    • G01N33/68
    • G01N30/8675G01N30/7233G01N30/8693H01J49/0036
    • A method for estimating molecule concentrations in a sample, the method including: obtaining a signal generated by a sample analyzing apparatus, the signal including at least one spectrum, the spectrum including peaks representative of the molecule concentrations in the sample and being expressed as a function of at least one variable; obtaining an analytical modeling of the signal with a modeling function, wherein the modeling function is based on the molecule concentrations and factors including gain factors of the equipment and description factors of the peaks; selecting uncertain factors in the factors; determining a priori probability distributions for the uncertain factors and the molecule concentrations; establishing, with the modeling function and the signal, posteriori probability distributions for the molecule concentrations and the uncertain factors; and estimating, with a processing module, the molecule concentrations and the uncertain factors from a parameter inferred from the posteriori probability distributions.
    • 一种用于估计样品中分子浓度的方法,所述方法包括:获得由样品分析装置产生的信号,所述信号包括至少一个光谱,所述光谱包括表示样品中分子浓度的峰,并表示为函数 的至少一个变量; 使用建模功能获得信号的分析建模,其中建模功能基于分子浓度和因素,包括设备的增益因子和峰的描述因子; 选择不确定因素的因素; 确定不确定因素和分子浓度的先验概率分布; 建立与建模函数和信号,分子浓度和不确定因素的后验概率分布; 并且利用处理模块从根据后验概率分布推断的参数估计分子浓度和不确定因子。