MX2016008303A - Metodos y sistemas para preparar muestras multicomponentes y sinteticas para procedimientos biotecnologicos y quimicos. - Google Patents
Metodos y sistemas para preparar muestras multicomponentes y sinteticas para procedimientos biotecnologicos y quimicos.Info
- Publication number
- MX2016008303A MX2016008303A MX2016008303A MX2016008303A MX2016008303A MX 2016008303 A MX2016008303 A MX 2016008303A MX 2016008303 A MX2016008303 A MX 2016008303A MX 2016008303 A MX2016008303 A MX 2016008303A MX 2016008303 A MX2016008303 A MX 2016008303A
- Authority
- MX
- Mexico
- Prior art keywords
- samples
- synthetic
- mimic
- multivariate
- dynamic
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 14
- 238000011138 biotechnological process Methods 0.000 title 1
- 238000001311 chemical methods and process Methods 0.000 title 1
- 230000003278 mimic effect Effects 0.000 abstract 3
- 239000000203 mixture Substances 0.000 abstract 2
- 238000012544 monitoring process Methods 0.000 abstract 2
- 238000011217 control strategy Methods 0.000 abstract 1
- 238000013400 design of experiment Methods 0.000 abstract 1
- 238000011161 development Methods 0.000 abstract 1
- 230000018109 developmental process Effects 0.000 abstract 1
- 239000011159 matrix material Substances 0.000 abstract 1
- 238000005457 optimization Methods 0.000 abstract 1
- 238000011165 process development Methods 0.000 abstract 1
- 238000004540 process dynamic Methods 0.000 abstract 1
- 238000003908 quality control method Methods 0.000 abstract 1
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
- G01N21/274—Calibration, base line adjustment, drift correction
- G01N21/278—Constitution of standards
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- 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
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/00584—Control arrangements for automatic analysers
- G01N35/00594—Quality control, including calibration or testing of components of the analyser
- G01N35/00693—Calibration
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/20—Identification of molecular entities, parts thereof or of chemical compositions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N35/00—Automatic analysis not limited to methods or materials provided for in any single one of groups G01N1/00 - G01N33/00; Handling materials therefor
- G01N35/00584—Control arrangements for automatic analysers
- G01N2035/0097—Control arrangements for automatic analysers monitoring reactions as a function of time
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/129—Using chemometrical methods
Landscapes
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Pathology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Theoretical Computer Science (AREA)
- Crystallography & Structural Chemistry (AREA)
- Computing Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Mathematical Physics (AREA)
- Quality & Reliability (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Artificial Intelligence (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Other Investigation Or Analysis Of Materials By Electrical Means (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
Abstract
En la presente invención describe un método que comprende la creación de un conjunto de muestras sintéticas que imitan procedimientos dinámicos o una etapa de procedimiento específica o una variación de la misma, para ser utilizada para desarrollar calibraciones de monitoreo multivariadas y sistemas de control de supervisión de procedimientos. Con el fin de mejorar la precisión y robustez de los modelos de calibración también se describe la introducción de muestras diseñadas adicionadas aleatoriamente, adicionadas de modo programado, de mezclado aleatorio y experimentales ortogonales. El método nuevo funciona mediante la utilización por el uso del conocimiento previo de procedimientos dinámicos expresados por sus datos disponibles y datos de control de calidad y utilizando estos datos para construir perfiles de mezclas que se pueden utilizar para construir muestras sintéticas que imiten la dinámica de procedimiento. Se puede proporcionar una metodología novedosa que supere los inconvenientes de los desarrollos de calibración de la técnica anterior que comprende muestras multicomponentes sintéticas diseñadas que imitan los procedimientos dinámicos y que utilizan diseño ortogonal de experimentos de adicionales conocidas aleatorias o adiciones conocidas programadas o mezclado aleatorio para mejorar el desempeño de modelos de calibración. Con estas muestras sintéticas de multicomponentes las cuales se aproximan con precisión a la composición de componentes principales de matriz de muestras reales hemos demostrado un uso novedoso de herramientas de monitoreo PAT para calcular la velocidad de procedimiento dinámica (supervisión de procedimiento). La capacidad de derivar trayectorias de procedimiento multivariadas con análisis multiparamétrico de muestras sintéticas preparadas para abarcar el especio de diseño multivariado de un procedimiento permite que se establezcan estrategias de control de supervisión de procedimiento durante el desarrollo y optimización de procedimientos.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP13199699 | 2013-12-27 | ||
PCT/EP2014/079152 WO2015097217A1 (en) | 2013-12-27 | 2014-12-23 | Method and system for preparing synthetic multicomponent biotechnological and chemical process samples |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2016008303A true MX2016008303A (es) | 2016-09-08 |
Family
ID=49949451
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2016008303A MX2016008303A (es) | 2013-12-27 | 2014-12-23 | Metodos y sistemas para preparar muestras multicomponentes y sinteticas para procedimientos biotecnologicos y quimicos. |
Country Status (10)
Country | Link |
---|---|
US (1) | US20170177835A1 (es) |
EP (1) | EP3087516B1 (es) |
JP (1) | JP6620100B2 (es) |
KR (1) | KR20160103075A (es) |
CN (1) | CN106462656B (es) |
BR (1) | BR112016014941A2 (es) |
CA (1) | CA2934161A1 (es) |
MX (1) | MX2016008303A (es) |
RU (1) | RU2016130663A (es) |
WO (1) | WO2015097217A1 (es) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2018229802A1 (en) * | 2017-06-16 | 2018-12-20 | Ge Healthcare Bio-Sciences Ab | Method for predicting outcome of and modelling of a process in a bioreactor |
KR20210060467A (ko) * | 2018-09-18 | 2021-05-26 | 바이엘 악티엔게젤샤프트 | 생산 공정의 생성물로서의 화합물 및/또는 그 제형의 품질을 예측하기 위한 시스템 및 방법 |
EP3702439B1 (en) * | 2019-02-26 | 2024-01-17 | Sartorius Stedim Data Analytics AB | Multivariate process chart to control a process to produce a chemical, pharmaceutical, biopharmaceutical and/or biological product |
EP3702849B1 (en) * | 2019-02-26 | 2023-07-26 | Sartorius Stedim Data Analytics AB | Optimized process control |
DE102019110094A1 (de) * | 2019-04-17 | 2020-10-22 | Analytik Jena Ag | Verfahren zur Bestimmung des Verbrauchs zumindest einer Substanz |
KR20200133525A (ko) | 2019-05-20 | 2020-11-30 | 삼성전자주식회사 | 생체 정보 추정 모델의 유효성 판단 장치 및 방법 |
US11231324B2 (en) * | 2020-02-13 | 2022-01-25 | Kaiser Optical Systems Inc. | Real-time monitoring of wine fermentation properties using Raman spectroscopy |
DK3901710T3 (da) * | 2020-04-24 | 2023-06-06 | The Automation Partnership Cambridge Ltd | Optimering af fremgangsmåder til fremstilling af kemiske, farmaceutiske og/eller bioteknologiske produkter |
CN111842922A (zh) * | 2020-06-04 | 2020-10-30 | 深圳市人工智能与机器人研究院 | 材料合成参数调整方法、装置、计算机设备和存储介质 |
JP7320894B1 (ja) * | 2023-02-09 | 2023-08-04 | 日本分光株式会社 | スペクトル解析方法、解析装置および解析プログラム |
CN116825217B (zh) * | 2023-03-15 | 2024-05-14 | 福建省德旭新材料有限公司 | 制备高纯五氟化磷的方法 |
Family Cites Families (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SE9900030D0 (sv) * | 1999-01-05 | 1999-01-05 | Astra Ab | Reaction monitoring |
CN100458411C (zh) * | 2006-07-24 | 2009-02-04 | 中国林业科学研究院木材工业研究所 | 植物纤维材料中化学成分含量模型的建立和含量测定方法 |
US20090287320A1 (en) * | 2008-05-13 | 2009-11-19 | Macgregor John | System and Method for the Model Predictive Control of Batch Processes using Latent Variable Dynamic Models |
US8629399B2 (en) * | 2009-09-22 | 2014-01-14 | Bp Corporation North America Inc. | Methods and apparatuses for measuring biological processes using mid-infrared spectroscopy |
RU2593005C2 (ru) * | 2010-11-05 | 2016-07-27 | Ф. Хоффманн-Ля Рош Аг | Спектроскопический фингерпринтинг сырья |
-
2014
- 2014-12-23 MX MX2016008303A patent/MX2016008303A/es unknown
- 2014-12-23 CN CN201480070982.XA patent/CN106462656B/zh active Active
- 2014-12-23 BR BR112016014941A patent/BR112016014941A2/pt not_active IP Right Cessation
- 2014-12-23 KR KR1020167020292A patent/KR20160103075A/ko not_active Application Discontinuation
- 2014-12-23 JP JP2016542997A patent/JP6620100B2/ja active Active
- 2014-12-23 CA CA2934161A patent/CA2934161A1/en not_active Abandoned
- 2014-12-23 RU RU2016130663A patent/RU2016130663A/ru not_active Application Discontinuation
- 2014-12-23 EP EP14830387.8A patent/EP3087516B1/en active Active
- 2014-12-23 WO PCT/EP2014/079152 patent/WO2015097217A1/en active Application Filing
-
2016
- 2016-06-24 US US15/192,708 patent/US20170177835A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
BR112016014941A2 (pt) | 2017-08-08 |
US20170177835A1 (en) | 2017-06-22 |
RU2016130663A3 (es) | 2018-09-19 |
RU2016130663A (ru) | 2018-01-31 |
JP2017504115A (ja) | 2017-02-02 |
CN106462656B (zh) | 2020-05-29 |
EP3087516B1 (en) | 2018-11-07 |
CN106462656A (zh) | 2017-02-22 |
KR20160103075A (ko) | 2016-08-31 |
JP6620100B2 (ja) | 2019-12-11 |
WO2015097217A1 (en) | 2015-07-02 |
CA2934161A1 (en) | 2015-07-02 |
EP3087516A1 (en) | 2016-11-02 |
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