CN111989747A - 用于预测样品中的成分的定量的分光光度法和装置 - Google Patents
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- CN111989747A CN111989747A CN201880092068.3A CN201880092068A CN111989747A CN 111989747 A CN111989747 A CN 111989747A CN 201880092068 A CN201880092068 A CN 201880092068A CN 111989747 A CN111989747 A CN 111989747A
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- 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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/28—Investigating the spectrum
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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
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/483—Physical analysis of biological material
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/40—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for data related to laboratory analysis, e.g. patient specimen analysis
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/31—Indexing; Data structures therefor; Storage structures
- G06F16/316—Indexing structures
- G06F16/328—Management therefor
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
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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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- Bioinformatics & Cheminformatics (AREA)
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- Urology & Nephrology (AREA)
- Food Science & Technology (AREA)
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- Databases & Information Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Investigating Or Analysing Biological Materials (AREA)
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Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/PT2018/050012 WO2019194693A1 (en) | 2018-04-05 | 2018-04-05 | Spectrophotometry method and device for predicting a quantification of a constituent from a sample |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111989747A true CN111989747A (zh) | 2020-11-24 |
Family
ID=62152608
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201880092068.3A Pending CN111989747A (zh) | 2018-04-05 | 2018-04-05 | 用于预测样品中的成分的定量的分光光度法和装置 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20210020276A1 (https=) |
| EP (1) | EP3776561B1 (https=) |
| JP (1) | JP7273844B2 (https=) |
| CN (1) | CN111989747A (https=) |
| WO (1) | WO2019194693A1 (https=) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113020629A (zh) * | 2021-03-30 | 2021-06-25 | 东南大学 | 一种基于特征光谱的针对金属粉末氧含量检测的3d打印设备及其检测方法 |
| CN115015136A (zh) * | 2022-04-13 | 2022-09-06 | 中煤科工集团重庆研究院有限公司 | 一种基于主成分优化的气体浓度检测方法 |
| CN118464858A (zh) * | 2024-05-13 | 2024-08-09 | 大连海事大学 | 一种基于子空间分析的微塑料荧光光谱识别系统及方法 |
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| CN111539576B (zh) * | 2020-04-29 | 2022-04-22 | 支付宝(杭州)信息技术有限公司 | 一种风险识别模型的优化方法及装置 |
| US11353394B2 (en) * | 2020-09-30 | 2022-06-07 | X Development Llc | Deformulation techniques for deducing the composition of a material from a spectrogram |
| CN112329792B (zh) * | 2020-10-30 | 2022-12-09 | 中国电子科技集团公司第五十四研究所 | 一种基于光谱角度的高光谱图像目标特征提取方法 |
| CN113094892A (zh) * | 2021-04-02 | 2021-07-09 | 辽宁石油化工大学 | 一种基于数据剔除与局部偏最小二乘的石油浓度预测方法 |
| CN113269203B (zh) * | 2021-05-17 | 2022-03-25 | 电子科技大学 | 一种用于多旋翼无人机识别的子空间特征提取方法 |
| KR102572517B1 (ko) * | 2021-08-18 | 2023-08-31 | 주식회사 아폴론 | 인공지능 기반 호산구의 라만 데이터 처리 방법 및 장치 |
| JP7678428B2 (ja) * | 2021-09-16 | 2025-05-16 | 株式会社Ihi | 調味料の評価装置、評価方法、及び、評価プログラム |
| US20230267369A1 (en) * | 2022-01-31 | 2023-08-24 | Idaho State University | Generalized local adaptive fusion regression process based on physicochemical and physiochemical underlying hidden properties for quantitative analysis of molecular based spectroscopic data |
| KR102767158B1 (ko) * | 2022-02-08 | 2025-02-13 | 재단법인 아산사회복지재단 | 머신 러닝 기반 라만 분광 분석을 이용한 염증 질환 분류 방법 및 장치 |
| KR102439163B1 (ko) * | 2022-06-24 | 2022-09-01 | 주식회사 아이브 | 인공지능 기반의 비지도 학습 모델을 이용한 불량 제품 검출 장치 및 그 제어방법 |
| WO2024123681A2 (en) * | 2022-12-05 | 2024-06-13 | Washington University | Improved method for scalable untargeted metabolomic workflow |
| CN116307079A (zh) * | 2023-02-03 | 2023-06-23 | 华东理工大学 | 一种污水处理过程的关键指标预测方法及装置 |
| CN116543848B (zh) * | 2023-07-05 | 2023-09-29 | 潍坊学院 | 基于平行因子和粒子群优化算法的混合物组分定量方法 |
| US12437842B2 (en) * | 2023-09-28 | 2025-10-07 | Vionix Biosciences Inc. | System and method for analyzing spectral data using artificial intelligence |
| US20250321973A1 (en) * | 2024-04-12 | 2025-10-16 | Thermo Scientific Portable Analytical Instruments Inc. | Time series matching of raw spectral vector data |
| CN119007874B (zh) * | 2024-10-22 | 2025-02-25 | 宜兴市星光宝亿化工有限公司 | 无磷灰水分散剂制备用参数分析方法 |
| CN119337160B (zh) * | 2024-12-19 | 2025-04-01 | 浙江万胜智能科技股份有限公司 | 一种基于智能电表通信模块的用电负荷预测方法 |
| CN119959163B (zh) * | 2025-04-09 | 2025-07-08 | 深圳微子医疗有限公司 | 一种离子浓度分析方法及系统 |
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| GB0322456D0 (en) * | 2003-09-25 | 2003-10-29 | Qinetiq Ltd | Laser spectroscopic identification of asbestos |
| CN101561325A (zh) * | 2009-04-23 | 2009-10-21 | 浙江大学 | 聚合物本体温度的检测方法 |
| US20130054603A1 (en) * | 2010-06-25 | 2013-02-28 | U.S. Govt. As Repr. By The Secretary Of The Army | Method and apparatus for classifying known specimens and media using spectral properties and identifying unknown specimens and media |
| US20140360259A1 (en) * | 2013-06-07 | 2014-12-11 | Schlumberger Technology Corporation | System And Method For Quantifying Uncertainty Of Predicted Petroleum Fluid Properties |
| CN104949936A (zh) * | 2015-07-13 | 2015-09-30 | 东北大学 | 基于优化偏最小二乘回归模型的样品成份测定方法 |
| CN105787518A (zh) * | 2016-03-17 | 2016-07-20 | 浙江中烟工业有限责任公司 | 一种基于零空间投影的近红外光谱预处理方法 |
| CN105928901A (zh) * | 2016-07-11 | 2016-09-07 | 上海创和亿电子科技发展有限公司 | 一种定性定量相结合的近红外定量模型构建方法 |
| US20170108454A1 (en) * | 2015-10-19 | 2017-04-20 | Bruker Biospin Gmbh | Method and device for the automatable determination of the limit of quantification and the relative error when quantifying the concentration of a substance to be investigated in a test sample |
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| EP1992939A1 (en) * | 2007-05-16 | 2008-11-19 | National University of Ireland, Galway | A kernel-based method and apparatus for classifying materials or chemicals and for quantifying the properties of materials or chemicals in mixtures using spectroscopic data. |
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2018
- 2018-04-05 CN CN201880092068.3A patent/CN111989747A/zh active Pending
- 2018-04-05 US US17/043,481 patent/US20210020276A1/en not_active Abandoned
- 2018-04-05 JP JP2020554164A patent/JP7273844B2/ja active Active
- 2018-04-05 EP EP18724345.6A patent/EP3776561B1/en active Active
- 2018-04-05 WO PCT/PT2018/050012 patent/WO2019194693A1/en not_active Ceased
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| CN101561325A (zh) * | 2009-04-23 | 2009-10-21 | 浙江大学 | 聚合物本体温度的检测方法 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113020629A (zh) * | 2021-03-30 | 2021-06-25 | 东南大学 | 一种基于特征光谱的针对金属粉末氧含量检测的3d打印设备及其检测方法 |
| CN115015136A (zh) * | 2022-04-13 | 2022-09-06 | 中煤科工集团重庆研究院有限公司 | 一种基于主成分优化的气体浓度检测方法 |
| CN118464858A (zh) * | 2024-05-13 | 2024-08-09 | 大连海事大学 | 一种基于子空间分析的微塑料荧光光谱识别系统及方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7273844B2 (ja) | 2023-05-15 |
| WO2019194693A1 (en) | 2019-10-10 |
| EP3776561C0 (en) | 2025-11-19 |
| EP3776561B1 (en) | 2025-11-19 |
| EP3776561A1 (en) | 2021-02-17 |
| JP2021526628A (ja) | 2021-10-07 |
| US20210020276A1 (en) | 2021-01-21 |
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