RU2013123903A - Спектроскопический фингерпринтинг сырья - Google Patents
Спектроскопический фингерпринтинг сырья Download PDFInfo
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- 239000002994 raw material Substances 0.000 title 1
- 238000001228 spectrum Methods 0.000 claims abstract 14
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- 238000004611 spectroscopical analysis Methods 0.000 claims abstract 10
- 238000004458 analytical method Methods 0.000 claims abstract 7
- 102000004169 proteins and genes Human genes 0.000 claims abstract 5
- 108090000623 proteins and genes Proteins 0.000 claims abstract 5
- 239000006228 supernatant Substances 0.000 claims abstract 4
- 238000004497 NIR spectroscopy Methods 0.000 claims abstract 2
- 238000001506 fluorescence spectroscopy Methods 0.000 claims abstract 2
- 210000004962 mammalian cell Anatomy 0.000 claims abstract 2
- 102000008394 Immunoglobulin Fragments Human genes 0.000 claims 1
- 108010021625 Immunoglobulin Fragments Proteins 0.000 claims 1
- 229940127121 immunoconjugate Drugs 0.000 claims 1
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- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
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- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6486—Measuring fluorescence of biological material, e.g. DNA, RNA, cells
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- G01N24/00—Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects
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- G01N24/087—Structure determination of a chemical compound, e.g. of a biomolecule such as a protein
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- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
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Abstract
1. Способ отбора партий компонентов культивации, подлежащих применению при культивации клетки млекопитающего, экспрессирующей интересующий белок, когда при культивации используют по меньшей мере два разных компонента, включающий следующие стадии:а) берут спектры разных партий первого компонента, полученные первым спектроскопическим способом, выбранным из спектроскопии NIR (ближняя инфракрасная область) и спектроскопии MIR (средняя инфракрасная область), и спектры второго компонента, полученные 2D (двухмерной) флуоресцентной спектроскопией, и выход интересующего белка из культивационного супернатанта, полученный при культивировании с использованием комбинаций данных разных партий первого и второго компонента,б) идентифицируют связь слитых спектров этих двух различных спектроскопических методов после расчета счетов РСА спектров с выходом культивирования,в) берут спектр дополнительной партии первого компонента, полученный первым спектроскопическим способом, и спектр дополнительной партии второго компонента, полученный вторым спектроскопическим способом,г) выбирают комбинацию взятого первого компонента и взятого второго компонента, если предсказанный выход из культивационного супернатанта, основанный на связи слитых спектров после расчета счетов РСА спектров, идентифицированной в б), находится в пределах +/- 10% среднего выхода, приведенного в а).2. Способ по п.1, характеризующийся тем, что идентификация осуществляется анализом главных компонент.3. Способ по п.2, характеризующийся тем, что анализ главных компонент представляет собой развернутый анализ главных компонент.4. Способ по п.3, характеризующийся
Claims (6)
1. Способ отбора партий компонентов культивации, подлежащих применению при культивации клетки млекопитающего, экспрессирующей интересующий белок, когда при культивации используют по меньшей мере два разных компонента, включающий следующие стадии:
а) берут спектры разных партий первого компонента, полученные первым спектроскопическим способом, выбранным из спектроскопии NIR (ближняя инфракрасная область) и спектроскопии MIR (средняя инфракрасная область), и спектры второго компонента, полученные 2D (двухмерной) флуоресцентной спектроскопией, и выход интересующего белка из культивационного супернатанта, полученный при культивировании с использованием комбинаций данных разных партий первого и второго компонента,
б) идентифицируют связь слитых спектров этих двух различных спектроскопических методов после расчета счетов РСА спектров с выходом культивирования,
в) берут спектр дополнительной партии первого компонента, полученный первым спектроскопическим способом, и спектр дополнительной партии второго компонента, полученный вторым спектроскопическим способом,
г) выбирают комбинацию взятого первого компонента и взятого второго компонента, если предсказанный выход из культивационного супернатанта, основанный на связи слитых спектров после расчета счетов РСА спектров, идентифицированной в б), находится в пределах +/- 10% среднего выхода, приведенного в а).
2. Способ по п.1, характеризующийся тем, что идентификация осуществляется анализом главных компонент.
3. Способ по п.2, характеризующийся тем, что анализ главных компонент представляет собой развернутый анализ главных компонент.
4. Способ по п.3, характеризующийся тем, что разворачивание сохраняет информацию первого измерения (образец).
5. Способ по любому из пп.1-4, характеризующийся тем, что идентифицируется связь между спектрами, слитыми и сжатыми посредством счетов РСА, с выходом культивации в момент сбора посредством анализа частных наименьших квадратов.
6. Способ по любому из пп.1-4, характеризующийся тем, что интересующийся белок представляет собой антитело или фрагмент антитела, или конъюгат антитела.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
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EP10190193 | 2010-11-05 | ||
EP10190193.2 | 2010-11-05 | ||
PCT/EP2011/069267 WO2012059520A1 (en) | 2010-11-05 | 2011-11-03 | Spectroscopic finger-printing of raw materials |
Publications (2)
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RU2013123903A true RU2013123903A (ru) | 2014-12-10 |
RU2593005C2 RU2593005C2 (ru) | 2016-07-27 |
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RU2013123903/15A RU2593005C2 (ru) | 2010-11-05 | 2011-11-03 | Спектроскопический фингерпринтинг сырья |
Country Status (12)
Country | Link |
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US (2) | US20140032127A1 (ru) |
EP (1) | EP2635892B1 (ru) |
JP (1) | JP5683713B2 (ru) |
KR (1) | KR101507252B1 (ru) |
CN (1) | CN103201616B (ru) |
BR (1) | BR112013010993B1 (ru) |
CA (1) | CA2815612C (ru) |
ES (1) | ES2506390T3 (ru) |
HK (1) | HK1187110A1 (ru) |
MX (1) | MX341795B (ru) |
RU (1) | RU2593005C2 (ru) |
WO (1) | WO2012059520A1 (ru) |
Families Citing this family (20)
Publication number | Priority date | Publication date | Assignee | Title |
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CN102998294B (zh) * | 2012-12-20 | 2014-10-22 | 中国环境科学研究院 | 一种三维光谱数据校正方法 |
CN103499552A (zh) * | 2013-10-23 | 2014-01-08 | 天津工业大学 | 一种快速、智能的废旧塑料分类方法 |
KR20160103075A (ko) * | 2013-12-27 | 2016-08-31 | 에프. 호프만-라 로슈 아게 | 합성 멀티컴포넌트 생명공학적 및 화학적 프로세스 샘플들을 준비하기 위한 방법 및 시스템 |
SG11201605146VA (en) * | 2013-12-30 | 2016-07-28 | Baxalta GmbH | A method of predicting a performance characteristic of a plant or yeast hydrolysate and its use |
CN105917722B (zh) * | 2014-01-22 | 2019-12-13 | 瑞典爱立信有限公司 | 无线通信网络中扩展信令的方法和装置 |
CN105424634A (zh) * | 2015-10-29 | 2016-03-23 | 中国计量学院 | 一种基于光纤耦合紫外光源的水质cod检测器及其预测模型优化系统 |
US10854313B2 (en) * | 2016-01-21 | 2020-12-01 | Protein Dynamic Solutions, Inc. | Method and system for spectral data analysis |
CN107941745A (zh) * | 2017-11-16 | 2018-04-20 | 赣州市检验检疫科学技术研究院 | 基于近红外光谱鉴别染色橙的方法 |
CN108120696A (zh) * | 2017-12-18 | 2018-06-05 | 福建中医药大学 | 一种不同栽培方式的大圆叶金线莲的鉴别方法 |
CN108169167A (zh) * | 2017-12-18 | 2018-06-15 | 福建中医药大学 | 一种不同栽培方式的台湾金线莲的鉴别方法 |
CN108132224A (zh) * | 2017-12-18 | 2018-06-08 | 福建中医药大学 | 一种不同栽培方式的金线莲的鉴别方法 |
CN108169166A (zh) * | 2017-12-18 | 2018-06-15 | 福建中医药大学 | 一种不同栽培方式的尖叶金线莲的鉴别方法 |
CN108152245A (zh) * | 2017-12-18 | 2018-06-12 | 福建中医药大学 | 一种金线莲及其混伪品的鉴别方法 |
CN108132223A (zh) * | 2017-12-18 | 2018-06-08 | 福建中医药大学 | 一种不同栽培方式的红霞金线莲的鉴别方法 |
GB201806752D0 (en) * | 2018-04-25 | 2018-06-06 | Ge Healthcare Bioprocess R&D Ab | Method in bioprocess system |
JP7190103B2 (ja) * | 2018-09-03 | 2022-12-15 | 株式会社サタケ | 米の産地判別方法 |
KR20210022319A (ko) | 2019-08-20 | 2021-03-03 | 삼성전자주식회사 | 생체정보 추정 장치 및 방법 |
WO2021049044A1 (ja) * | 2019-09-13 | 2021-03-18 | エピストラ株式会社 | 培地製造方法、培地製造パラメータ決定方法、培地、およびプログラム |
FR3103900B1 (fr) * | 2019-11-29 | 2024-07-19 | Univ Du Mans | Méthode d'identification rapide de microorganismes par analyse de matrices excitation-émission |
JP6977977B1 (ja) * | 2020-06-24 | 2021-12-08 | エピストラ株式会社 | 培地の異常検知装置及び異常検知方法 |
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US7715002B2 (en) | 2007-01-23 | 2010-05-11 | Bionorica Ag | Method for classifying scientific materials such as silicate materials, polymer materials and/or nanomaterials |
WO2008146056A1 (en) | 2007-05-30 | 2008-12-04 | Ruder Boskovic Institute | A method for determining importance of fractions of biological mixtures separated by a chromatographic method for discrimination of cell or tissue physiological conditions |
WO2009061326A1 (en) | 2007-11-09 | 2009-05-14 | Wyeth | Evaluation of chromatographic materials |
JP2011508320A (ja) | 2007-12-21 | 2011-03-10 | エム ケー エス インストルメンツ インコーポレーテッド | 部分的最小二乗分析(pls−ツリー)を用いたデータの階層編成 |
EP2128599A1 (en) | 2008-05-28 | 2009-12-02 | Université de Liège | Analysing spectral data for the selection of a calibration model |
US7983874B2 (en) * | 2008-06-10 | 2011-07-19 | National University Of Ireland, Galway | Similarity index: a rapid classification method for multivariate data arrays |
MX2011004106A (es) * | 2008-10-31 | 2011-08-15 | Bio Merieux Inc | Métodos para la separación, caracterización, y/o identificación de microorganismos usando espectroscopia raman. |
EP2364447B1 (en) * | 2008-10-31 | 2019-06-12 | Biomerieux, Inc | Method for the identification of microorganisms |
CN101846617A (zh) * | 2009-12-29 | 2010-09-29 | 中国科学院地球化学研究所 | 一种基于光谱分析的培养基中蔗糖含量的无菌检测方法 |
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- 2011-11-03 RU RU2013123903/15A patent/RU2593005C2/ru active
- 2011-11-03 EP EP11778872.9A patent/EP2635892B1/en active Active
- 2011-11-03 CA CA2815612A patent/CA2815612C/en not_active Expired - Fee Related
- 2011-11-03 KR KR1020137011378A patent/KR101507252B1/ko active IP Right Grant
- 2011-11-03 MX MX2013004882A patent/MX341795B/es active IP Right Grant
- 2011-11-03 CN CN201180053140.XA patent/CN103201616B/zh active Active
- 2011-11-03 BR BR112013010993-9A patent/BR112013010993B1/pt not_active IP Right Cessation
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- 2011-11-03 ES ES11778872.9T patent/ES2506390T3/es active Active
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- 2013-05-03 US US13/886,869 patent/US20140032127A1/en not_active Abandoned
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Publication number | Publication date |
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CN103201616B (zh) | 2015-11-25 |
MX2013004882A (es) | 2013-07-02 |
JP5683713B2 (ja) | 2015-03-11 |
CA2815612A1 (en) | 2012-05-10 |
EP2635892A1 (en) | 2013-09-11 |
US20140032127A1 (en) | 2014-01-30 |
MX341795B (es) | 2016-09-02 |
US10816477B2 (en) | 2020-10-27 |
ES2506390T3 (es) | 2014-10-13 |
KR101507252B1 (ko) | 2015-03-30 |
US20180202938A1 (en) | 2018-07-19 |
RU2593005C2 (ru) | 2016-07-27 |
BR112013010993A2 (pt) | 2016-08-23 |
JP2013544353A (ja) | 2013-12-12 |
WO2012059520A1 (en) | 2012-05-10 |
CA2815612C (en) | 2019-01-08 |
BR112013010993B1 (pt) | 2020-02-18 |
HK1187110A1 (zh) | 2014-03-28 |
CN103201616A (zh) | 2013-07-10 |
KR20130079571A (ko) | 2013-07-10 |
EP2635892B1 (en) | 2014-08-27 |
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