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    SAMPLE ANALYSIS METHODS
    71.
    发明申请
    SAMPLE ANALYSIS METHODS 审中-公开
    样本分析方法

    公开(公告)号：US20170045441A1

    公开(公告)日：2017-02-16

    申请号：US15340615

    申请日：2016-11-01

    Applicant: ARCHIMEJ TECHNOLOGY

    Inventor： Mejdi Nciri

    IPC: G01N21/31

    CPC classification number: G01N21/31 ,  G01J3/0208 ,  G01J3/10 ,  G01J3/14 ,  G01J3/42 ,  G01J3/4406 ,  G01J2003/1282 ,  G01N21/6458 ,  G01N21/83 ,  G01N33/49 ,  G01N2021/3129 ,  G01N2021/3196 ,  G01N2021/6417 ,  G02B27/1006

    Abstract: The invention generally relates to methods for determining a concentration of at least one target analyte in a heterogeneous sample and methods for detecting a condition. In certain aspects, the inventions provides methods that involve illuminating a heterogeneous sample, such as a biological sample, including at least one target analyte with polychromatic light, receiving luminous data of the heterogeneous sample and the at least one target analyte with a detector without splitting the polychromatic light into individual wavelengths and generating spectral data therefrom. The spectral data is then converted into a concentration of the at least one target analyte in the biological sample by comparing the spectral data to a database comprising known spectra already associated with concentration levels.

    Abstract translation: 本发明一般涉及用于确定异质样品中至少一种目标分析物的浓度的方法和用于检测病症的方法。 在某些方面，本发明提供了涉及照射诸如生物样品的异质样品（包括至少一种具有多色光的目标分析物）的方法，使用检测器接收异质样品和至少一种目标分析物的发光数据而不分裂 将多色光转换为单个波长并从其产生光谱数据。 然后通过将光谱数据与包括已经与浓度水平相关联的已知光谱的数据库进行比较，将光谱数据转换成生物样品中至少一种目标分析物的浓度。

    MULTI-WAVELENGTH LIGHT SOURCE
    72.
    发明申请
    MULTI-WAVELENGTH LIGHT SOURCE 审中-公开
    多波长光源

    公开(公告)号：US20160363568A1

    公开(公告)日：2016-12-15

    申请号：US15241786

    申请日：2016-08-19

    Applicant: Agilent Technologies, Inc.

    Inventor： Kevin P. Killeen ,  Hubert Kuderer ,  Karsten Kraiczek

    IPC: G01N30/74 ,  G01N21/05 ,  G01N21/31

    CPC classification number: G01N30/74 ,  G01J2003/102 ,  G01N21/05 ,  G01N21/31 ,  G01N2021/0346 ,  G01N2021/3129 ,  G01N2021/3133 ,  G01N2021/3148 ,  G01N2021/317 ,  G01N2030/027 ,  G01N2201/06153 ,  G01N2201/0627 ,  G01N2201/0638

    Abstract: A fluid separation system for separating compounds of a sample fluid in a mobile phase comprises a detector adapted to detect separated compounds by providing an optical stimulus signal to the sample fluid and receiving a response signal on the optical stimulus signal. The detector comprises a light source adapted to provide an output light beam as the optical stimulus signal. The light source comprises a plurality of light emitting elements each adapted to emit a light beam having a respective wavelength, and a diffracting element. The plurality of light emitting elements are arranged that emitted light beams impinging on the diffracting element in a respective angle dependent on the respective wavelength are diffracted by the diffracting element into the output light beam.

    Abstract translation: 用于分离流动相中样品流体的化合物的流体分离系统包括适于通过向样品流体提供光刺激信号并且在光刺激信号上接收响应信号来检测分离的化合物的检测器。 检测器包括适于提供输出光束作为光刺激信号的光源。 光源包括多个适于发射具有各自波长的光束的发光元件和衍射元件。 多个发光元件被布置成使得衍射元件以相应的角度照射在衍射元件上的发射光束被衍射元件衍射成输出光束。

    CONCENTRATION MEASUREMENT METHOD AND CONCENTRATION MEASUREMENT APPARATUS
    76.
    发明申请
    CONCENTRATION MEASUREMENT METHOD AND CONCENTRATION MEASUREMENT APPARATUS 审中-公开
    浓度测量方法和浓度测量装置

    公开(公告)号：US20130073220A1

    公开(公告)日：2013-03-21

    申请号：US13614566

    申请日：2012-09-13

    Applicant: Kazuhiro NISHIDA ,  Kazuhiko AMANO ,  Koichi SHIMIZU

    Inventor： Kazuhiro NISHIDA ,  Kazuhiko AMANO ,  Koichi SHIMIZU

    IPC: G06F19/00 ,  G01N21/25

    CPC classification number: G01N21/274 ,  G01N21/25 ,  G01N21/255 ,  G01N21/256 ,  G01N21/314 ,  G01N2021/3129 ,  G01N2021/3133

    Abstract: A concentration measurement method of measuring at least including processes of: causing a set of lights having first and second different wavelengths in which change amounts of absorption coefficients of the water due to a change in water temperature are substantially the same to be incident on the solution, and measuring an absorption coefficient in the first wavelength and a absorption coefficient in the second wavelength in the solution; referencing an absorption coefficient of the water in the first wavelength and an absorption coefficient of the water in the second wavelength; referencing an absorption coefficient of the solute in the first wavelength and an absorption coefficient of the solute in the second wavelength; and applying a simultaneous equation to obtain a volume fraction of an unknown solute and a volume fraction of the water based on the above absorption coefficients.

    Abstract translation: 一种测量至少包括以下过程的浓度测量方法：使得具有第一和第二不同波长的一组光，其中由于水温变化引起的水的吸收系数的变化量基本上相同以入射到溶液 测定溶液中第一波长的吸收系数和第二波长的吸收系数; 参考第一波长的水的吸收系数和第二波长的水的吸收系数; 参考第一波长中的溶质的吸收系数和第二波长中的溶质的吸收系数; 并且基于上述吸收系数应用联立方程来获得未知溶质的体积分数和水的体积分数。

    PORTAL
    78.
    发明申请
    PORTAL 有权
    门户网站

    公开(公告)号：US20100067014A1

    公开(公告)日：2010-03-18

    申请号：US12516947

    申请日：2007-11-12

    Applicant: Iain Howieson

    Inventor： Iain Howieson

    IPC: G01N21/00

    CPC classification number: G01N21/3504 ,  G01N21/031 ,  G01N2021/3129 ,  G01N2021/399 ,  G01N2201/0697

    Abstract: A portal or gateway that includes a detector comprising a chirped laser; an open optical sample cell and a detector for detecting light from the chirped laser that has passed through the cell. The chirped laser may be a quantum cascade laser.

    Abstract translation: 一种包括检测器的门户或网关，包括啁啾激光器; 开放的光学样品池和用于检测已经通过电池的啁啾激光器的光的检测器。 啁啾激光器可以是量子级联激光器。

    Gas detection and photonic crystal devices design using predicted spectral responses
    79.
    发明授权
    Gas detection and photonic crystal devices design using predicted spectral responses 失效
    气体检测和光子晶体器件使用预测的光谱响应进行设计

    公开(公告)号：US07352466B2

    公开(公告)日：2008-04-01

    申请号：US11157042

    申请日：2005-06-17

    Applicant: Jiang-Rong Cao ,  Mamoru Miyawaki

    Inventor： Jiang-Rong Cao ,  Mamoru Miyawaki

    IPC: G01N21/00

    CPC classification number: G01N21/3504 ,  B82Y20/00 ,  G01N21/359 ,  G01N2021/3129 ,  G02B6/1225

    Abstract: In detecting presence of a gas, light passes through a photonic crystal cavity configured to sample a gas and receive light. The light has a wavelength that at least partially falls within a specific absorption wavelength of the gas. At least one parameter of a band gap spectrum is generated from at least a portion of the light passing through the photonic crystal cavity. In generating the at least one parameter, a numerical simulation is performed within a frequency range of the photonic crystal cavity to generate a set of spectral response data points, rational function interpolation is performed on the set of spectral response data points to generate a spectral response, and at least one parameter is determined from the spectral response. The at least one parameter is compared with stored parameters of band gap spectrums, wherein a match indicates a presence and/or concentration of the gas.

    Abstract translation: 在检测到气体的存在时，光通过配置成采样气体并接收光的光子晶体腔。 光具有至少部分落在气体的特定吸收波长内的波长。 从通过光子晶体腔的光的至少一部分产生带隙光谱的至少一个参数。 在产生至少一个参数时，在光子晶体腔的频率范围内进行数值模拟以产生一组光谱响应数据点，对该组光谱响应数据点执行有理函数插值以产生光谱响应 ，并且从光谱响应确定至少一个参数。 将至少一个参数与存储的带隙谱的参数进行比较，其中匹配指示气体的存在和/或浓度。

    Method for identifying components of a mixture via spectral analysis
    80.
    发明申请
    Method for identifying components of a mixture via spectral analysis 有权
    通过光谱分析识别混合物的组分的方法

    公开(公告)号：US20070061091A1

    公开(公告)日：2007-03-15

    申请号：US11407392

    申请日：2006-04-18

    Applicant: Robert Schweitzer ,  Willem Windig ,  Patrick Treado

    Inventor： Robert Schweitzer ,  Willem Windig ,  Patrick Treado

    IPC: G01R23/16

    CPC classification number: G01J3/28 ,  G01N21/3577 ,  G01N21/359 ,  G01N33/02 ,  G01N2021/3129 ,  G01N2201/1293 ,  G06F19/703

    Abstract: A set of spectral data is collected from a mixture and corrected to remove instrumental artifacts. The collected mixture spectra define an n-dimensional data space, where n is the number of data points in the spectra. Principal component analysis (PCA) techniques are applied to the n-dimensional data space to generate and select a subset of m eigenvectors that effectively describe all variance in the original data space. The members of a spectral library of known, pure components are examined based on this reduced dimensionality data space using target factor testing techniques. Each library spectrum is represented as a vector in the m-dimensional reduced data space, and target factor testing results in an angle between the library vector and the data space for each spectral library member. Those spectral library members that have the smallest angles with the data space are considered to be potential members, or candidates, of the mixture and are submitted for further testing. The spectral library members are ranked and every combination of the top y members is considered as a potential solution to the composition of the mixture. A multivariate least-squares solution is then calculated using the mixture spectra for each of the candidate combinations. Finally, a ranking algorithm is applied to each combination and is used to select the combination that is most likely the set of pure components in the mixture.

    Abstract translation: 从混合物中收集一组光谱数据，并进行校正以去除仪器伪像。 收集的混合谱定义了n维数据空间，其中n是光谱中数据点的数量。 主成分分析（PCA）技术应用于n维数据空间，以生成和选择有效描述原始数据空间中所有方差的m个特征向量的子集。 基于使用目标因子测试技术的这种减小的维度数据空间来检查已知的纯组件的光谱库的成员。 每个库谱表示为m维缩减数据空间中的向量，目标因子测试导致库向量与每个谱库成员的数据空间之间的角度。 与数据空间具有最小角度的那些光谱库成员被认为是混合物的潜在成员或候选者，并被提交进一步测试。 光谱库成员被排名，并且顶部成员的每个组合被认为是混合物组成的潜在解决方案。 然后使用每个候选组合的混合谱计算多变量最小二乘解。 最后，将排序算法应用于每个组合，并用于选择混合中最可能的纯组分集合的组合。

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