Method for measuring cholesterol content of chicken egg by non-destructive means
    271.
    发明授权
    Method for measuring cholesterol content of chicken egg by non-destructive means 有权
    通过非破坏性手段测定鸡蛋胆固醇含量的方法

    公开(公告)号:US09372179B2

    公开(公告)日:2016-06-21

    申请号:US14427488

    申请日:2013-08-30

    Abstract: This invention provides a means for measuring a cholesterol content of a chicken egg by a non-destructive means. This invention relates to a method for measuring a cholesterol content of a chicken egg comprising: a step of light irradiation of irradiating the chicken egg with light in the visible to near-infrared wavelength range; a step of light detection of detecting light radiated from the chicken egg caused by that the light irradiated in the step of light irradiation is transmitted through the chicken egg or reflected inside the chicken egg; a step of spectrum acquisition of acquiring a near-infrared spectrum of the light detected in the step of light detection; and a step of cholesterol content determination of determining a cholesterol content of the chicken egg on the basis of the near-infrared spectrum acquired in the step of spectrum acquisition.

    Abstract translation: 本发明提供了一种以非破坏性方式测定鸡蛋胆固醇含量的方法。 本发明涉及一种测定鸡蛋胆固醇含量的方法,其特征在于,包括以下步骤:用可见光到近红外波长范围的光照射鸡蛋; 由光照射步骤中照射的光传播通过鸡蛋或鸡蛋内部反射而检测从鸡蛋发出的光的光检测步骤; 获取在光检测步骤中检测到的光的近红外光谱的光谱获取步骤; 以及基于在光谱获取步骤中获取的近红外光谱来确定鸡蛋的胆固醇含量的胆固醇含量测定步骤。

    Spectroscopic means and methods for identifying microorganisms in culture
    272.
    发明授权
    Spectroscopic means and methods for identifying microorganisms in culture 有权
    用于鉴定培养物中的微生物的光谱学方法和方法

    公开(公告)号:US09365883B2

    公开(公告)日:2016-06-14

    申请号:US14367060

    申请日:2012-12-19

    Abstract: A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.

    Abstract translation: 公开了用于光谱检测和鉴定培养细菌的光谱方法。 该方法包括来自怀疑含有所述细菌的培养样品的至少一个数据集的构建,其可以是光谱,干涉图案或散射图案。 对样品中水的存在进行数据集的校正,使用主成分分析提取光谱特征,并使用学习算法对特征进行分类。 在本发明的一些实施方案中,例如为了区分MRSA和MSSA,进行多模态分析,其中基于样品的光谱,用于确定细胞壁厚度的干涉图案和散射来确定细菌的鉴定 用于确定细胞壁粗糙度的图案。 还公开了一种用于执行该方法的装置,其一个实施例包括多个样本分析器。

    METHOD AND APPARATUS FOR MONITORING AND CONTROLLING A CLEANING PROCESS
    276.
    发明申请
    METHOD AND APPARATUS FOR MONITORING AND CONTROLLING A CLEANING PROCESS 审中-公开
    用于监测和控制清洁过程的方法和装置

    公开(公告)号:US20160047741A1

    公开(公告)日:2016-02-18

    申请号:US14501552

    申请日:2014-09-30

    Abstract: A method of accurately measuring the concentration of at least one of an aqueous cleaning agent and soil in an aqueous cleaning process which includes providing a source of near infrared light emitting useful amounts of light with wavelengths between approximately 0.8 μm and 2.5 μm, transmitting the near infrared light from the light source to a probe, contacting the probe with a cleaning bath sample such that one of the absorption and the reflection of the light at one or more wavelengths can be measured, transmitting the light that has interacted with the sample to a detector, measuring the change in light intensity at one or more wavelengths in the near infrared region using a near infrared detector, generating an electronic signal that is representative of the change in intensity, applying chemometric techniques to quantitatively determine the concentration of the cleaning agent and or soil, and outputting the measured cleaning agent or soil concentration. The light source is connected to the probe via a fiber-optic cable and the probe is connected to the detector via a fiber-optic cable.

    Abstract translation: 一种在水性清洗过程中精确测量水性清洁剂和污垢中的至少一种的浓度的方法,该方法包括提供近红外光源,其发射波长在约0.8μm和2.5μm之间的有用量的光,透射近 从光源到探头的红外光,使探针与清洗浴样品接触,使得能够测量在一个或多个波长处的光的吸收和反射之一,将与样品相互作用的光透射到 检测器,使用近红外检测器测量近红外区域中的一个或多个波长处的光强度的变化,产生代表强度变化的电子信号,应用化学计量技术定量测定清洁剂的浓度,以及 或土壤,并输出测量的清洁剂或土壤浓度。 光源通过光纤电缆连接到探头,探头通过光纤电缆连接到检测器。

    SYSTEM AND METHOD FOR DETERMINING VAPOR PRESSURE OF PRODUCED HYDROCARBON STREAMS VIA SPECTROSCOPY
    278.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING VAPOR PRESSURE OF PRODUCED HYDROCARBON STREAMS VIA SPECTROSCOPY 审中-公开
    通过光谱法测定生产的碳氢化合物的蒸气压的系统和方法

    公开(公告)号:US20150211971A1

    公开(公告)日:2015-07-30

    申请号:US14609191

    申请日:2015-01-29

    Abstract: An NIR analyzer with the optical probes across a pipe, or in a bypass configuration, after a stabilizer in an oil or condensate production plant. Prior to use, liquid samples from the plant are analyzed in a chemical lab to obtain reference vapor pressure or compositional values. A chemometric model using known techniques is then built with the captured absorption spectra and the reference lab results. Preprocessing methodologies can be used to help mitigate interferences of the fluid, instrument drift, and contaminate build up on the lenses in contact with the fluid. The chemometric model is implemented through the NIR analyzer as the calibration curve to predict the vapor pressure or other values of the flowing fluid in real time.

    Abstract translation: 一个NIR分析仪,在油或冷凝水生产车间的稳定器之后,将光学探针穿过管道或旁路配置。 在使用前,在化学实验室中分析来自植物的液体样品以获得参考蒸气压或组成值。 然后使用已知技术的化学计量模型利用捕获的吸收光谱和参考实验室结果构建。 可以使用预处理方法来减轻流体的干扰,仪器漂移和污染物积聚在与流体接触的透镜上。 化学计量模型通过NIR分析仪实现,作为校准曲线,实时预测流动液体的蒸气压或其他值。

    SELECTION OF SPECTRAL BANDS OR FILTERS FOR MATERIAL CLASSIFICATION UNDER MULTIPLEXED ILLUMINATION
    280.
    发明申请
    SELECTION OF SPECTRAL BANDS OR FILTERS FOR MATERIAL CLASSIFICATION UNDER MULTIPLEXED ILLUMINATION 有权
    在多光照射下选择材料分类的光谱带或滤光片

    公开(公告)号:US20150160128A1

    公开(公告)日:2015-06-11

    申请号:US14309771

    申请日:2014-06-19

    Abstract: Material classification using multiplexed illumination by broadband spectral light from multiple different incident angles, coupled with multi-spectral narrow band spectral measurement of light reflected from the illuminated object of unknown material, wherein selection of spectral bands for illumination or for narrow-band capture may comprise analysis of a database of labeled training material samples within a multi-class classification framework, captured using a relatively large number of spectral bands (such as 32 spectral bands), so as to select a subset of a relatively fewer number of spectral bands (such as 5 spectral bands), wherein the selected spectral bands in the subset retain a significant aptitude for distinguishing between different classifications of materials.

    Abstract translation: 通过来自多个不同入射角的宽带光谱光进行多重照明的材料分类,以及从未知材料的被照射物体反射的光的多光谱窄带光谱测量,其中用于照明或用于窄带捕获的光谱带的选择可以包括 使用相对大量的频谱带(例如32个频谱带)捕获的多类分类框架内的标记训练材料样本的数据库的分析,以便选择相对较少数量的光谱带的子集(例如 作为5个光谱带),其中子集中所选择的光谱带保留用于区分不同材料分类的显着性质。

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