公开(公告)号：US07807971B2

公开(公告)日：2010-10-05

申请号：US12274161

申请日：2008-11-19

Applicant: William B. Grace ,  Gregory J. Werner ,  Paul H. Shelley

Inventor： William B. Grace ,  Gregory J. Werner ,  Paul H. Shelley

IPC: G01J5/02

CPC classification number: G01N21/3554 ,  G01N21/359 ,  G01N2021/8472 ,  G01N2201/0221 ,  G01N2201/129

Abstract: A method of determining moisture content of a composite material includes providing composite material standards with moisture content, collecting infrared spectra on the composite material standards, calibrating the infrared spectra to the moisture content, providing a composite material and predicting moisture content of the composite material based on the infrared spectra and the composite material standards.

Abstract translation: 确定复合材料的含水量的方法包括提供复合材料标准物的含水量，收集复合材料标准上的红外光谱，校准红外光谱至水分含量，提供复合材料并预测复合材料的含水量 关于红外光谱和复合材料标准。

公开(公告)号：US07760353B2

公开(公告)日：2010-07-20

申请号：US12248344

申请日：2008-10-09

Applicant: John Maier ,  Jeffrey Cohen

Inventor： John Maier ,  Jeffrey Cohen

IPC: G01J3/44

CPC classification number: G01N21/65 ,  G01J3/02 ,  G01J3/0227 ,  G01J3/0291 ,  G01J3/44 ,  G01N21/658 ,  G01N2021/656 ,  G01N2201/129

Abstract: A spectroscopic method and system to identify a biofilm of a microorganism. A sample containing a sample microorganism is irradiated with substantially monochromatic radiation. A Raman data set is obtained based on radiation scattered from the irradiated sample. A database is searched in accordance with the Raman data set in order to identify a known Raman data set from the database. The database contains a plurality of known Raman data sets where each known Raman data set is associated with a known sessile form of a corresponding known microorganism. A sessile form of the sample microorganism is identified based on the known Raman data set identified by the searching.

Abstract translation: 鉴定微生物生物膜的光谱方法和系统。 用基本上单色的辐射照射含有样品微生物的样品。 基于从照射样品散射的辐射获得拉曼数据集。 根据拉曼数据集搜索数据库，以便从数据库中识别已知的拉曼数据集。 数据库包含多个已知的拉曼数据集，其中每个已知的拉曼数据集与相应的已知微生物的已知无形形式相关联。 基于通过搜索识别的已知拉曼数据集来鉴定样品微生物的固定形式。

公开(公告)号：US20100179934A1

公开(公告)日：2010-07-15

申请号：US12595023

申请日：2008-05-16

Applicant: Tom Howley ,  Alan George Ryder ,  Michael Gerard Madden ,  Kenneth Hennessy

Inventor： Tom Howley ,  Alan George Ryder ,  Michael Gerard Madden ,  Kenneth Hennessy

IPC: G01N21/25 ,  G06F19/00 ,  G06F15/18 ,  G06N5/02

CPC classification number: G01N21/65 ,  G01J3/28 ,  G01N21/3504 ,  G01N21/3563 ,  G01N21/3577 ,  G01N21/359 ,  G01N2201/129 ,  G06F19/703 ,  G06K9/00536 ,  G06K9/6269

Abstract: A kernel-based method determines the similarity of a first spectrum and a second spectrum. Each spectrum represents a result of spectral analysis of a material or chemical and comprises a set of spectral attributes distributed across a spectral range. The method calculates a kernel function which makes use of the shape of the spectral response surrounding a spectral point. This is achieved by comparing the value of an spectral attribute in a spectrum and each of a set of neighbouring spectral attributes within a window around the spectral attribute. Weighting values can be applied to calculations when deriving the kernel function. The weighting values can assign different degrees of importance to different regions of the spectrum. The method can be used to: classify unknown spectra; predict the concentration of an analyte within a mixture; database searching for the closest match using a kernel-derived distance metric; visualisation of high-dimensional spectral data in two or three dimensions.

Abstract translation: 基于内核的方法确定第一个频谱和第二个频谱的相似度。 每个光谱表示材料或化学品的光谱分析的结果，并且包括分布在光谱范围内的一组光谱属性。 该方法计算利用围绕光谱点的光谱响应的形状的核函数。 这是通过比较频谱属性在光谱属性附近的窗口内的一组相邻光谱属性中的每一个的频谱属性的值来实现的。 导出内核函数时，加权值可以应用于计算。 权重值可以为不同的频谱区域赋予不同程度的重要性。 该方法可用于：对未知光谱进行分类; 预测混合物内分析物的浓度; 数据库使用内核派生的距离度量搜索最接近的匹配; 可视化二维或三维高维谱数据。

公开(公告)号：US20100108890A1

公开(公告)日：2010-05-06

申请号：US12582981

申请日：2009-10-21

Applicant: Natarajan Gunasekaran ,  Vitor Marino Schneider ,  Charlene Marie Smith ,  Carlo Anthony Kosik Williams

Inventor： Natarajan Gunasekaran ,  Vitor Marino Schneider ,  Charlene Marie Smith ,  Carlo Anthony Kosik Williams

IPC: G01J5/02

CPC classification number: G01N21/94 ,  G01N21/3504 ,  G01N21/3577 ,  G01N21/3581 ,  G01N2201/129

Abstract: Methods of characterizing and measuring particulate accumulation in a family of particulate filters (10) are disclosed. The disclosure can be applied to diesel, gasoline and natural gas fueled engines, fluid streams bearing dust, and chemical and biological substances such as may be found in laboratory fluids, for example, air. In one embodiment, the disclosure is directed to measuring diesel particulate accumulation in a family of diesel particulate filters. The methods include measuring calibration complex terahertz transmission spectra (PC(f)) of at least a portion (17) of at least one particulate or diesel particulate filter in the family for different known particulate or diesel particulate amounts (ADP). The method also involves performing a partial least squares (PLS) analysis on the calibration complex terahertz transmission spectra to establish a calibration relationship between the complex terahertz transmission spectra and the particulate or diesel particulate amounts. The complex transmission spectrum of a subject particulate filter or diesel particulate filter having an unknown amount of particulate or diesel particulate accumulation is then determined and compared to the linear calibration relationship to establish a measured amount of particulates or diesel particulates. The methods include using a terahertz (THz) system (100) to obtain the complex terahertz transmission spectra for the calibration and subject particulate or diesel particulate filters.

Abstract translation: 公开了在微粒过滤器（10）系列中表征和测量颗粒积聚的方法。 本公开可以应用于柴油，汽油和天然气燃料发动机，带有灰尘的流体流，以及诸如可以在实验室流体例如空气中发现的化学和生物物质。 在一个实施方案中，本公开涉及测量柴油颗粒过滤器系列中的柴油颗粒物积聚。 所述方法包括测量家族中至少一种颗粒或柴油颗粒​​过滤器的至少一部分（17）的校准复数太赫兹透射光谱（PC（f）），用于不同的已知颗粒或柴油颗粒​​量（ADP）。 该方法还涉及对校准复数太赫兹透射光谱进行偏最小二乘法（PLS）分析，以建立复数太赫兹透射光谱与颗粒或柴油颗粒​​量之间的校准关系。 然后确定具有未知量的颗粒或柴油颗粒​​物积聚的目标颗粒过滤器或柴油颗粒​​过滤器的复杂透射光谱，并将其与线性校准关系进行比较，以建立测量量的颗粒物或柴油颗粒​​物。 这些方法包括使用太赫兹（THz）系统（100）来获得用于校准和主体颗粒或柴油颗粒​​过滤器的复数太赫兹透射光谱。

公开(公告)号：US20100055259A1

公开(公告)日：2010-03-04

申请号：US12545574

申请日：2009-08-21

Applicant: Wilfred Marcellien Bourg, JR.

Inventor： Wilfred Marcellien Bourg, JR.

IPC: G01N33/02 ,  G06F19/00

CPC classification number: G01N33/02 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/78 ,  G01N21/94 ,  G01N33/10 ,  G01N33/14 ,  G01N2021/3595 ,  G01N2201/129

Abstract: Disclosed is a method for the real time measurement of acrylamide in a food product. Wavelength emission data is collected from a food product. The same food product is tested off-line in an analytical laboratory for levels of acrylamide pre-cursors or acrylamide. The wavelength emission data is then correlated with the off-line laboratory data.

Abstract translation: 公开了一种用于实时测量食品中丙烯酰胺的方法。 从食品中收集波长发射数据。 相同的食品在分析实验室中离线测试丙烯酰胺前体或丙烯酰胺的水平。 然后将波长发射数据与离线实验室数据相关联。

公开(公告)号：US20100032573A1

公开(公告)日：2010-02-11

申请号：US12189113

申请日：2008-08-08

Applicant: Paul H. Shelley ,  Gregory J. Werner

Inventor： Paul H. Shelley ,  Gregory J. Werner

IPC: G01J5/02

CPC classification number: G01B11/0625 ,  G01N21/3563 ,  G01N21/359 ,  G01N21/474 ,  G01N21/8422 ,  G01N2021/8427 ,  G01N2201/0221 ,  G01N2201/129

Abstract: A method of determining a coating weight and/or amount of a conversion coating on a metallic substrate including making near-IR spectra of a series of coating weight standards on an appropriate substrate material to match sample material in question, pre-processing the data to prepare it for multivariate calibration methods, performing the multivariate calibration, saving the calibration model in the hand-held near-IR device in an appropriate format, and using the calibration model to predict sample material in question from their near IR spectra.

Abstract translation: 一种确定金属基底上的转化涂层的涂层重量和/或量的方法，包括在适当的基底材料上制备一系列涂层重量标准物的近红外光谱以匹配所讨论的样品材料，将数据预处理 准备多变量校准方法，执行多变量校准，以适当的格式将手持近红外设备中的校准模型保存在校准模型中，并使用校准模型从其近红外光谱中预测所讨论的样品材料。

公开(公告)号：US20090321646A1

公开(公告)日：2009-12-31

申请号：US11988587

申请日：2006-07-12

Applicant: Daniel Cozzolino

Inventor： Daniel Cozzolino

IPC: G01N21/35 ,  G01J3/28

CPC classification number: G01N21/31 ,  G01N21/359 ,  G01N2021/3155 ,  G01N2201/129

Abstract: A method is described for assessing at least one characteristic of a fluid held in a container that utilizes visible—near infrared (VIS-NIR) spectroscopy in combination with chemometrics. A method is also provided for calibrating VIS-NIR analyser(s) operating in transflectance mode for one or more characteristics of a fluid.

Abstract translation: 描述了一种用于评估使用可见近红外（VIS-NIR）光谱与化学计量学相结合的容器中保持的流体的至少一种特征的方法。 还提供了一种用于校准在透射模式下工作的VIS-NIR分析器用于流体的一个或多个特性的方法。

公开(公告)号：US07570357B2

公开(公告)日：2009-08-04

申请号：US10578272

申请日：2004-11-10

Applicant: Roumiana Tsenkova

Inventor： Roumiana Tsenkova

IPC: G01J3/28 ,  G01J3/40

CPC classification number: G01N21/359 ,  G01N21/3577 ,  G01N2201/129

Abstract: A visible/near-infrared spectrometry and its device for determining the components of a sample and the characteristics of the components of the sample by using visible light and/or near-infrared light in the wavelength range from 400 nm to 2500 nm. This spectrometry and device enable measurement that has been conventionally difficult, including high-accuracy determination of many components, detection of components present in ultra-low concentrations, and real-time determination of component characteristics, including determination of the structure or function of bio-macromolecules and their variations. The spectrum of a sample is measured while exposing the sample to water-activating perturbations (WAP), thereby causing the response spectrum to change, and by detecting transitions of the response spectrum. With this, by conducting spectrum analysis and/or multivariate analysis, the components of the sample and/or the characteristics of the components can be determined.

Abstract translation: 可见/近红外光谱法及其用于通过使用在400nm至2500nm波长范围内的可见光和/或近红外光来测定样品组分和样品组分特征的装置。 传统上难以进行的这种光谱测定和装置使能测量，包括许多组分的高精度测定，以超低浓度存在的组分的检测，以及实时测定组分特征，包括确定生物相容性的结构或功能， 大分子及其变体。 在将样品暴露于水激活扰动（WAP）的同时测量样品的光谱，从而使响应谱变化，并通过检测响应谱的转变。 因此，通过进行频谱分析和/或多变量分析，可以确定样品的组分和/或组分的特征。

公开(公告)号：US07567871B2

公开(公告)日：2009-07-28

申请号：US11829518

申请日：2007-07-27

Applicant: David B. Rohde ,  Patrick P. Camus

Inventor： David B. Rohde ,  Patrick P. Camus

IPC: G01N31/00 ,  G01R13/00

CPC classification number: H01J49/0036 ,  G01J3/28 ,  G01N21/31 ,  G01N23/225 ,  G01N2201/129

Abstract: A system for performing spectral microanalysis delivers analysis results during the course of data collection. As spectra are collected from pixels on a specimen, the system periodically analyzes the spectra to statistically derive underlying spectra representing proposed specimen components, wherein the derived spectra combine in varying proportions to result (at least approximately) in the measured spectra at each pixel. Those pixels having the same dominant proposed component, and/or which contain at least approximately the same proportions of the proposed components, may then have their measured spectra combined (i.e., added or averaged). These spectra may then be cross-referenced via reference libraries to identify the components actually present. During the foregoing analysis, the measured spectra are preferably condensed, as by reducing the number of energy channels/intervals making up the measured spectra and/or by combining the measured spectra of adjacent pixels, to reduce the size of the data cube and expedite analysis results.

Abstract translation: 执行光谱微量分析的系统在数据采集过程中提供分析结果。 当从样本上的像素收集光谱时，系统周期性地分析光谱以统计学地导出代表所提出的样本分量的基础光谱，其中衍生的光谱以不同的比例组合在每个像素的测量光谱中的结果（至少近似）。 那些具有相同显性提议分量的像素和/或包含至少大致相同比例的所提出的分量，然后可以将它们的测量光谱组合（即，添加或平均）。 然后可以通过参考文库交叉参考这些光谱，以确定实际存在的组分。 在上述分析中，测量的光谱优选地通过减少构成测量光谱的能量通道/间隔的数量和/或通过组合相邻像素的测量光谱来缩小，以减小数据立方体的大小并加快分析 结果。

公开(公告)号：US20090121138A1

公开(公告)日：2009-05-14

申请号：US11885739

申请日：2006-03-09

Applicant: Alasdair Iain Thomson

Inventor： Alasdair Iain Thomson

IPC: G01N21/35

CPC classification number: G01N33/28 ,  G01N21/0303 ,  G01N21/3577 ,  G01N21/359 ,  G01N2021/115 ,  G01N2201/129 ,  G01N2201/1293

Abstract: A process for measuring the NIR spectrum of a sample using a demountable NIR transmission cell of pathlength 2.5 mm or less, said process comprising: (a) measuring the etalon fringes that arise when NIR light passes through the NIR cell in the absence of a liquid sample, (b) using this to calculate the pathlength of the NIR cell (c) introducing the sample to be analyzed in to the NIR cell, and (d) measuring the NIR spectrum of the sample.

Abstract translation: 一种使用路径长度为2.5mm或更小的可拆卸NIR传输单元测量样品的近红外光谱的方法，所述方法包括：（a）测量当不存在液体时NIR光通过NIR细胞时产生的标准具条纹 样品，（b）使用它来计算NIR细胞的路径长度（c）将要分析的样品引入NIR细胞，和（d）测量样品的NIR光谱。