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    • 5. 发明授权
    • Method of using data binning in the analysis of chromatography/spectrometry data
    • 在色谱/光谱数据分析中使用数据合并的方法
    • US07418352B2
    • 2008-08-26
    • US11480254
    • 2006-06-30
    • Robert Stephen PlumbChris Lee StumpfMarc V. Gorenstein
    • Robert Stephen PlumbChris Lee StumpfMarc V. Gorenstein
    • G06F19/00G06F11/30H01J49/00
    • H01J49/0036G01N30/8675G06F19/24
    • Disclosed herein is a method of analyzing three-dimensional data obtained from a chromatography/spectrometry process, in particular an LC/MS process using a two-dimensional multi-variant statistical analysis. The LC portion permits separation of analytes within a sample. The information obtained from such a procedure typically depends on retention time (Rt). As the analytes progress through the system, they enter the MS region of the LC/MS system. There they are ionized and a mass detector then detects these ionized species. The information procured from this procedure is generally reported as intensity for a corresponding m/z value. Therefore, an LC/MS system provides at least three pieces of information. Principle component analysis (PCA) is a robust method of multi-variant analysis of this type of data between different samples. However, typically, PCA analysis is performed using only two-dimensional data. Therefore, it is expected that at least one parameter of data obtained from a LC/MS operation is lost, however, the methods disclosed herein preserves all three mathematical dimensions.
    • 本文公开了一种分析从色谱/光谱测定方法获得的三维数据的方法,特别是使用二维多变量统计分析的LC / MS方法。 LC部分允许分离样品内的分析物。 从这种方法获得的信息通常取决于保留时间(R t t T t)。 当分析物通过系统进入时,它们进入LC / MS系统的MS区域。 在那里它们被离子化,质量检测器然后检测这些电离物质。 从该程序获得的信息通常被报告为对应的m / z值的强度。 因此,LC / MS系统提供至少三条信息。 原理分量分析(PCA)是对不同样本之间的这种类型的数据进行多变量分析的有力方法。 然而,通常,仅使用二维数据来执行PCA分析。 因此,期望从LC / MS操作获得的数据的至少一个参数丢失,然而,本文公开的方法保留所有三个数学维度。
    • 6. 发明授权
    • Method and devices for chromatographic pattern analysis employing
chromatographic variability characterization
    • 使用色谱变异性表征的色谱图案分析的方法和装置
    • US5969228A
    • 1999-10-19
    • US936168
    • 1997-09-23
    • Marc V. Gorenstein
    • Marc V. Gorenstein
    • G01N30/86G01N30/88B01D15/08
    • G01N30/8665G01N30/8624G01N30/88G01N2030/8804G01N2030/8809G01N30/8641
    • Method and devices for performing chromatographic pattern analysis determine chromatographic variability due to a plurality of sources without requiring identification or characterization of peaks or other chromatographic features, receives data indicative of a standard chromatogram and a first sample chromatogram generated from a first mixture by a High Pressure Liquid Chromatography (HPLC) device and data indicative of a plurality of additional sample chromatograms generated by the HPLC device from a plurality of different mixtures. The method and devices generate from the standard chromatogram, a plurality of sets of chromatographic variability data, each set being indicative of a different effect of the chromatographic variability of the HPLC. The standard chromatogram is modified as a function of the variability data, and a residual value, indicative of a difference between the modified standard chromatograms and the first sample chromatogram is generated. Residual values are generated for the additional sample chromatograms and are used to determine differences between the corresponding mixtures and the first mixture.
    • 用于进行色谱图分析的方法和装置由于多个来源而确定色谱变异性,而不需要鉴定或表征峰或其他色谱特征,接收指示标准色谱图的数据和通过高压产生的第一混合物的第一样品色谱图 液相色谱(HPLC)装置和指示由HPLC装置从多种不同混合物产生的多个附加样品色谱图的数据。 该方法和装置从标准色谱图产生多组色谱变异性数据,每组都表示HPLC的色谱变异性的不同影响。 标准色谱被修改为变异性数据的函数,并且生成表示修改的标准色谱图与第一样品色谱图之间的差异的残留值。 为附加样品色谱图生成残留值,并用于确定相应混合物和第一混合物之间的差异。