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    A METHOD OF PREDICTING A PERFORMANCE CHARACTERISTIC OF A PLANT OR YEAST HYDROLYSATE AND ITS USE
    12.
    发明申请
    A METHOD OF PREDICTING A PERFORMANCE CHARACTERISTIC OF A PLANT OR YEAST HYDROLYSATE AND ITS USE 审中-公开
    预测植物或YEAST水解产物的性能特征及其用途的方法

    公开(公告)号：US20160327484A1

    公开(公告)日：2016-11-10

    申请号：US15108592

    申请日：2014-12-18

    Applicant: BAXALTA INCORPORATED ,  BAXALTA GMBH

    Inventor： Leopold Grillberger ,  Renata Juric ,  Wolfgang Langer ,  Manfred Reiter

    IPC: G01N21/64 ,  C12N5/00 ,  C12N7/00

    CPC classification number: G01N21/6486 ,  C12N5/0018 ,  C12N7/00 ,  G01N2021/6419 ,  G01N2201/1293

    Abstract: The present invention relates to a method of predicting a performance characteristic of a plant or yeast hydrolysate, wherein a plant or yeast hydrolysate sample is measured with 2D fluorescence spectroscopy in powder form. Said method comprises the steps for providing a model based on a predetermined value of a manufacturing parameter of interest. For this purpose a training set consisting of predetermined manufacturing parameter of interest (e.g volumetric productivity parameter, virus titer or cell number) and fluorescence spectroscopic data is used. The fluorescence spectroscopic data is correlated to the values of the manufacturing parameter of interest to obtain a calibration model/model parameters by applying multivariate data analysis. This calibration model is being used to predict the manufacturing parameter of interest for new samples dedicated for the manufacturing process. This prediction is used for a decision to accept or reject the lot which corresponds to the respective sample for use in the manufacturing process or for further evaluation depending on the pre-defined range of the manufacturing parameter of interest. The invention further relates to a method for preparation of a cell culture medium, preferably an animal protein free cell culture medium, a method for cultivating cells, a method for producing a recombinant target protein, a method for producing an immunogenic composition, whereby the above method of predicting a performance characteristic has been used for selecting the plant or yeast hydrolysate to be used in the manufacturing process.

    Abstract translation: 本发明涉及一种预测植物或酵母水解产物的性能特征的方法，其中以粉末形式的2D荧光光谱测量植物或酵母水解产物样品。 所述方法包括基于感兴趣的制造参数的预定值提供模型的步骤。 为此，使用由预期的感兴趣制造参数（例如体积生产率参数，病毒滴度或细胞数）和荧光光谱数据组成的训练集。 荧光光谱数据与感兴趣的制造参数的值相关，以通过应用多变量数据分析来获得校准模型/模型参数。 该校准模型用于预测专用于制造过程的新样品的感兴趣的制造参数。 该预测用于接受或拒绝与制造过程中使用的相应样品相对应的批次或根据感兴趣的制造参数的预定义范围进行进一步评估的决定。 本发明还涉及细胞培养基，优选无动物蛋白质细胞培养基，培养细胞的方法，重组靶蛋白的制备方法，免疫原性组合物的制造方法，其中，上述 已经使用预测性能特征的方法来选择在制造过程中使用的植物或酵母水解产物。

    IDENTIFYING PRESENCE OF SUBSTANCES
    13.
    发明申请
    IDENTIFYING PRESENCE OF SUBSTANCES 审中-公开
    识别物质的存在

    公开(公告)号：US20160209324A1

    公开(公告)日：2016-07-21

    申请号：US14913782

    申请日：2014-07-25

    Applicant: PERKINELMER SINGAPORE PTE LIMITED

    Inventor： Robert Alan HOULT ,  Ben PERSTON

    IPC: G01N21/359 ,  G01N33/04

    CPC classification number: G01N21/359 ,  G01N21/35 ,  G01N33/04 ,  G01N2201/12 ,  G01N2201/1293

    Abstract: A method for identifying the presence of at least one adulterant substance in a sample. The method comprises receiving sets of sample spectral data, reference spectral data, validation spectral data each set for a respective validation example, and adulterant substance spectral data for said at least one adulterant substance. From these residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data and the reference spectral data is determined and modified sample residue data which is representative of a residue which would remain after performing a least squares fitting process between the sample spectral data, the reference spectral data and the adulterant substance spectral data is determined. The corresponding two residue data sets are also determined for each validation example. The method then includes performing at least one comparison amongst the sample residue data, the modified sample residue data, the validation residue data, and the modified validation residue data; and determining a likelihood value for the presence of said at least one adulterant substance in said sample in dependence on said at least one comparison; and outputting said likelihood value.

    Abstract translation: 用于鉴定样品中至少一种掺杂物质的存在的方法。 该方法包括接收各组样本光谱数据，参考光谱数据，各组验证样本的验证光谱数据，以及用于所述至少一种掺杂物质的掺杂物质光谱数据。 确定代表在样品光谱数据和参考光谱数据之后进行最小二乘拟合处理之后残留的残基的这些残基数据，并且修改样品残基数据，其代表在执行最少 确定样品光谱数据，参考光谱数据和掺杂物质光谱数据之间的平方拟合过程。 还针对每个验证示例确定相应的两个残差数据集。 该方法然后包括在样本残差数据，修改的样本残差数据，验证残差数据和修改的确认残差数据之间执行至少一个比较; 以及根据所述至少一个比较确定所述样品中存在所述至少一种掺假物质的似然值; 并输出所述似然值。

    TARGET COMPONENT CALIBRATION DEVICE, ELECTRONIC DEVICE, AND TARGET COMPONENT CALIBRATION METHOD
    16.
    发明申请
    TARGET COMPONENT CALIBRATION DEVICE, ELECTRONIC DEVICE, AND TARGET COMPONENT CALIBRATION METHOD 审中-公开
    目标组件校准设备，电子设备和目标组件校准方法

    公开(公告)号：US20160097676A1

    公开(公告)日：2016-04-07

    申请号：US14858462

    申请日：2015-09-18

    Applicant: SEIKO EPSON CORPORATION

    Inventor： Hikaru KURASAWA ,  Yoshifumi ARAI

    IPC: G01J3/02 ,  G01J3/42

    CPC classification number: G01J3/0297 ,  A61B5/0075 ,  A61B5/01 ,  A61B5/14532 ,  A61B5/1455 ,  A61B5/1495 ,  A61B2560/0223 ,  A61B2560/0247 ,  A61B2560/0252 ,  G01J3/42 ,  G01K13/002 ,  G01N21/359 ,  G01N2201/1293 ,  G06F17/18 ,  G06K9/2018 ,  G06K9/624 ,  G06K9/6242

    Abstract: A target component calibration device includes a mixing coefficient calculating section that calculates mixing coefficients of target components regarding a test object based on observational data regarding the test object and calibration data, and a target component content calculating section that calculates the content of target components based on the mixing coefficients calculated by the mixing coefficient calculating section and a simple regression equation representing the relationship between the content and the mixing coefficients corresponding to the target components. The target component content calculating section adjusts at least one of two constants of the simple regression equation depending on a measurement condition when the observational data is obtained.

    Abstract translation: 目标部件校准装置包括：混合系数计算部，其基于与测试对象和校准数据有关的观测数据，计算关于测试对象的目标分量的混合系数;以及目标分量内容计算部，其基于 由混合系数计算部分计算的混合系数和表示内容与对应于目标分量的混合系数之间的关系的简单回归方程式。 目标分量内容计算部根据获得观测数据时的测量条件来调整简单回归方程的两个常数中的至少一个。

    Vibrational spectroscopy for quantitative measurement of analytes
    17.
    发明授权
    Vibrational spectroscopy for quantitative measurement of analytes 有权
    用于定量测量分析物的振动光谱

    公开(公告)号：US09222881B2

    公开(公告)日：2015-12-29

    申请号：US13404868

    申请日：2012-02-24

    Applicant: Carlos R. Baiz ,  Kevin C. Jones ,  Andrei Tokmakoff

    Inventor： Carlos R. Baiz ,  Kevin C. Jones ,  Andrei Tokmakoff

    IPC: G06F19/10 ,  G01N21/35 ,  G01N21/63 ,  G01N21/3577

    CPC classification number: G01N21/35 ,  G01N21/3577 ,  G01N21/636 ,  G01N2201/1293 ,  G06F19/10

    Abstract: The present invention relates to systems and methods for the determination of the secondary structure composition of proteins using coherent two-dimensional infrared (2DIR) spectroscopy of backbone amide I vibrations (1580-1720 cm−1). Fractions of α-helix, β-sheet, and unassigned regions in globular proteins were determined by singular value decomposition using basis spectra from sixteen commercially-available proteins with known crystal structures. Preferred methods included removing each protein from the set and comparing the predicted composition against the crystal structure. The root-mean-squared (RMS) errors of the predicted secondary structure compositions were found to be 7.9% for α-helix, 5.5% for β-sheet, and 7.6% for unassigned regions. The structure analysis can also be performed using one-dimensional absorption spectra and the RMS errors are compared with those obtained from 2DIR.

    Abstract translation: 本发明涉及使用主链酰胺I振动（1580-1720cm-1）的相干二维红外（2DIR）光谱测定蛋白质的二级结构组成的系统和方法。 通过使用具有已知晶体结构的十六种市售蛋白质的基础光谱，通过奇异值分解来确定球形蛋白质中的α-螺旋，β-骨架和未分配区域的部分。 优选的方法包括从组中除去每种蛋白质并将预测的组合物与晶体结构进行比较。 发现预测的二级结构组成的均方根误差（RMS）误差为α-螺旋7.9％，未分配区域分别为5.5％和7.6％。 也可以使用一维吸收光谱进行结构分析，并将RMS误差与从2DIR获得的RMS误差进行比较。

    DEVICES, SYSTEMS AND METHODS FOR DETERMINING DRUG COMPOSITION AND VOLUME
    19.
    发明申请
    DEVICES, SYSTEMS AND METHODS FOR DETERMINING DRUG COMPOSITION AND VOLUME 审中-公开
    用于确定药物组合物和体积的装置，系统和方法

    公开(公告)号：US20140111801A1

    公开(公告)日：2014-04-24

    申请号：US14054744

    申请日：2013-10-15

    Applicant: Gal A. COHEN

    Inventor： Gal A. COHEN

    IPC: G01N21/65

    CPC classification number: G01N21/65 ,  G01N21/3577 ,  G01N2201/1293

    Abstract: Apparatuses and methods for determining the composition of liquid, including a liquid drug (e.g., IV drug) and a liquid drug waste. The apparatuses described herein may determine the identity of one or more drugs in the liquid, the concentration of the drug, and the type of diluent using spectroscopy (such as optical and/or complex immittance spectrographic information). These apparatuses (e.g., devices, systems) and methods are particularly useful for describing the identity and, in some variations, concentration of one or more components of a medical liquid such as intravenous fluid. Also described are methods of recognizing spectroscopic information, e.g., profiles of optical and/or complex immittance spectrograph patterns to determine the composition of a liquid by pattern recognition.

    Abstract translation: 用于测定液体组成的装置和方法，包括液体药物（例如IV药物）和液体药物废物。 本文描述的装置可以使用光谱学（例如光学和/或复合光谱图信息）来确定液体中一种或多种药物的特性，药物的浓度和稀释剂的类型。 这些装置（例如，装置，系统）和方法对于描述身份以及在一些变型中特别有用于浓缩医疗液体如静脉内流体的一种或多种组分。 还描述了识别光谱信息的方法，例如光学和/或复合导纳光谱仪图案的轮廓，以通过图案识别来确定液体的组成。

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