CA2228844C - Analyse de fluides biologiques par detection des valeurs aberrantes par distances generalisees - Google Patents

Analyse de fluides biologiques par detection des valeurs aberrantes par distances generalisees Download PDF

Info

Publication number
CA2228844C
CA2228844C CA002228844A CA2228844A CA2228844C CA 2228844 C CA2228844 C CA 2228844C CA 002228844 A CA002228844 A CA 002228844A CA 2228844 A CA2228844 A CA 2228844A CA 2228844 C CA2228844 C CA 2228844C
Authority
CA
Canada
Prior art keywords
calibration
data
samples
sample
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CA002228844A
Other languages
English (en)
Other versions
CA2228844A1 (fr
Inventor
John F. Price
James R. Long
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Roche Diagnostics Operations Inc
Original Assignee
Roche Diagnostics Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US08/587,017 external-priority patent/US5606164A/en
Application filed by Roche Diagnostics Corp filed Critical Roche Diagnostics Corp
Publication of CA2228844A1 publication Critical patent/CA2228844A1/fr
Application granted granted Critical
Publication of CA2228844C publication Critical patent/CA2228844C/fr
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Classifications

    • 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
    • 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
    • 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
    • G01J2003/2866—Markers; Calibrating of scan

Landscapes

  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Analytical Chemistry (AREA)
  • General Physics & Mathematics (AREA)
  • Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Theoretical Computer Science (AREA)
  • Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Analysing Materials By The Use Of Radiation (AREA)
  • Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)

Abstract

Un procédé et un appareil permettant de mesurer la concentration d'un produit d'analyse présent dans un fluide biologique. Le procédé consiste à envoyer un rayonnement dans le proche infrarouge sur des échantillons d'étalonnage pour obtenir des données d'étalonnage, à analyser ces données pour identifier et éliminer des valeurs aberrantes, à construire un modèle d'étalonnage, à collecter et analyser des échantillons inconnus pour en identifier et éliminer les valeurs aberrantes, et à prévoir la concentration de valeurs aberrantes dans le produit d'analyse à partir du modèle d'étalonnage. L'analyse des données d'étalonnage comprend le prétraitement des données, la décomposition des données pour éliminer celles qui sont redondantes, et l'identification et l'élimination des valeurs aberrantes à l'aide de distances généralisées. L'appareil (100) comprend une pompe (102) qui fait circuler un échantillon dans des conduites (104) pour remplir une cuve à circulation (106). La lumière provenant d'une source de proche infrarouge (114) est synchronisée avec un détecteur (110) ce qui facilite des mesures à la lumière et dans l'obscurité, puis elle traverse un monochromètre (120) et la cuve à circulation (106) et vient frapper le détecteur (110), ce qui permet de mesurer le rayonnement traversant l'échantillon.
CA002228844A 1995-08-07 1996-08-02 Analyse de fluides biologiques par detection des valeurs aberrantes par distances generalisees Expired - Fee Related CA2228844C (fr)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US195095P 1995-08-07 1995-08-07
US08/587,017 US5606164A (en) 1996-01-16 1996-01-16 Method and apparatus for biological fluid analyte concentration measurement using generalized distance outlier detection
US08/587,017 1996-01-16
US60/001,950 1996-01-16
PCT/US1996/012625 WO1997006418A1 (fr) 1995-08-07 1996-08-02 Analyse de fluides biologiques par detection des valeurs aberrantes par distances generalisees

Publications (2)

Publication Number Publication Date
CA2228844A1 CA2228844A1 (fr) 1997-02-20
CA2228844C true CA2228844C (fr) 2006-03-14

Family

ID=26669720

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002228844A Expired - Fee Related CA2228844C (fr) 1995-08-07 1996-08-02 Analyse de fluides biologiques par detection des valeurs aberrantes par distances generalisees

Country Status (5)

Country Link
EP (1) EP0846253A4 (fr)
JP (1) JP3323512B2 (fr)
AU (1) AU711324B2 (fr)
CA (1) CA2228844C (fr)
WO (1) WO1997006418A1 (fr)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5822219A (en) * 1996-05-13 1998-10-13 Foss Nirsystems, Inc. System for identifying materials by NIR spectrometry
US7383069B2 (en) 1997-08-14 2008-06-03 Sensys Medical, Inc. Method of sample control and calibration adjustment for use with a noninvasive analyzer
US6115673A (en) * 1997-08-14 2000-09-05 Instrumentation Metrics, Inc. Method and apparatus for generating basis sets for use in spectroscopic analysis
DE19810917A1 (de) * 1998-03-13 1999-09-16 Buehler Ag Automatisches Kalibrationsverfahren
SE512540C2 (sv) * 1998-06-22 2000-04-03 Umetri Ab Metod och anordning för kalibrering av indata
CA2382113A1 (fr) * 1999-08-31 2001-03-08 Cme Telemetrix Inc. Procede d'etalonnage d'un dispositif spectroscopique
JP4054853B2 (ja) * 2000-10-17 2008-03-05 独立行政法人農業・食品産業技術総合研究機構 近赤外分光法を用いた血液分析法
WO2003081245A1 (fr) 2002-03-27 2003-10-02 Biacore Ab Procede, systeme et programme de detection des interactions de liaison moleculaire impliquant le controle de qualite exprime par des courbes de reponse
EP1500023A2 (fr) * 2002-03-28 2005-01-26 Epigenomics AG Procedes et produits logiciels assurant le controle de qualite des dosages d'acides nucleiques
JP2007506967A (ja) * 2003-09-24 2007-03-22 ビアコーレ・アー・ベー 分子相互作用分析の方法及びシステム
US8260556B2 (en) * 2008-08-21 2012-09-04 Bio-Rad Laboratories, Inc. Calibration surface method for determination on of analyte ratios
JP5206251B2 (ja) * 2008-09-05 2013-06-12 株式会社ニコン 利用対象推薦装置、利用対象推薦方法およびプログラム
CN102353643A (zh) * 2011-06-22 2012-02-15 中国林业科学研究院林产化学工业研究所 一种近红外漫反射光谱(nirs)快速测定油茶籽含油率的方法
US9606055B2 (en) * 2013-01-09 2017-03-28 Ppg Industries Ohio, Inc. Systems and methods for statistical measurement control of spectrophotometric data
WO2018060967A1 (fr) * 2016-09-29 2018-04-05 Inesc Tec - Instituto De Engenharia De Sistemas E Computadores, Tecnologia E Ciência Méthodologie d'auto-apprentissage de mégadonnées pour la quantification et la classification précises d'informations spectrales sous une varlabilité complexe et une interférence multi-échelle
CN106596465A (zh) * 2017-03-03 2017-04-26 东北农业大学 一种近红外光谱分析中的异常样本识别方法
EP3620983B1 (fr) * 2018-09-05 2023-10-25 Sartorius Stedim Data Analytics AB Procédé mis en uvre par ordinateur, produit de programme informatique et système d'analyse de données
US12001949B2 (en) 2018-09-05 2024-06-04 Sartorius Stedim Data Analytics Ab Computer-implemented method, computer program product and system for data analysis
DE102019135877B4 (de) * 2019-12-30 2021-09-30 TRUMPF Venture GmbH System zur Messung des Vorhandenseins und/oder der Konzentration einer in Körperflüssigkeit gelösten Analysesubstanz
CN111967742B (zh) * 2020-08-05 2024-01-23 中国矿业大学(北京) 一种矿井突水水源级次快速判别技术方法
CN112229863A (zh) * 2020-09-30 2021-01-15 上海海关工业品与原材料检测技术中心 一种铁矿石的原产国或品牌的鉴别方法
CN113702317B (zh) * 2021-08-30 2023-10-27 中国农业科学院农业信息研究所 一种流域面源污染组分传感器、监测系统及方法
JP2025533369A (ja) * 2022-09-29 2025-10-07 イルミナ インコーポレイテッド 動的光学システム較正

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5121338A (en) * 1988-03-10 1992-06-09 Indiana University Foundation Method for detecting subpopulations in spectral analysis
US4975581A (en) * 1989-06-21 1990-12-04 University Of New Mexico Method of and apparatus for determining the similarity of a biological analyte from a model constructed from known biological fluids
EP0535700B1 (fr) * 1991-10-04 1997-03-26 The Perkin-Elmer Corporation Méthode appareil pour comparer des spectres

Also Published As

Publication number Publication date
AU6644896A (en) 1997-03-05
MX9801056A (es) 1998-05-31
JPH11510604A (ja) 1999-09-14
EP0846253A4 (fr) 2009-11-11
AU711324B2 (en) 1999-10-14
EP0846253A1 (fr) 1998-06-10
WO1997006418A1 (fr) 1997-02-20
CA2228844A1 (fr) 1997-02-20
JP3323512B2 (ja) 2002-09-09

Similar Documents

Publication Publication Date Title
US5606164A (en) Method and apparatus for biological fluid analyte concentration measurement using generalized distance outlier detection
AU711324B2 (en) Biological fluid analysis using distance outlier detection
JP3130931B2 (ja) 試験サンプルの特性または組成あるいはその両方を推定する方法
Pizarro et al. Determination of the peroxide value in extra virgin olive oils through the application of the stepwise orthogonalisation of predictors to mid-infrared spectra
AU754677B2 (en) System and method for noninvasive blood analyte measurements
Ye et al. Non-destructive prediction of protein content in wheat using NIRS
EP0552300B1 (fr) Mesure et correction de donnees spectrales
Chen et al. The Las Campanas Infrared Survey. IV. The Photometric Redshift Survey and the Rest-frame R-band Galaxy Luminosity Function at 0.5≤ z≤ 1.5
US20030109998A1 (en) Automatic process for sample selection during multivariate calibration
EP1214579B1 (fr) Procede d'etalonnage d'un dispositif spectroscopique
JP2004502934A (ja) 選択された多成分サンプルの分析方法
Sun Statistical analysis of NIR data: Data pretreatment
EP4306919B1 (fr) Système d'analyse spectroscopique et procédé d'analyse spectroscopique
González et al. Fingermark analysis by fourier transform infrared microscopy using chemometric tools
US6629041B1 (en) Methods to significantly reduce the calibration cost of multichannel measurement instruments
Palumbo et al. Optimization of machine learning techniques for the determination of clinical parameters in dried human serum samples from FTIR spectroscopic data
Zhou et al. Non‐Destructive Measurement of Sugar Content in Litchis Using Visible and Near‐Infrared Spectroscopy and Fuzzy Stochastic Configuration Network
Sales et al. Standardization of a multivariate calibration model applied to the determination of chromium in tanning sewage
Thomas Incorporating auxiliary predictor variation in principal component regression models
Pedro et al. The use of near-infrared spectroscopy and chemometrics for determining the shelf-life of products
Idrus et al. Artificial neural network and savitzky golay derivative in predicting blood hemoglobin using near-infrared spectrum
Liu et al. Use of artificial neural networks in near-infrared spectroscopy calibrations for predicting glucose concentration in urine
MXPA98001056A (en) Analysis of a biological fluid using the detection of results in aisla intervals
EP0762108A2 (fr) Méthode et dispositif de mesure de la concentration du cétone dans un organisme
EP4083820A1 (fr) Système et procédé pour identifier et quantifier des composants individuels dans un échantillon en cours d'analyse

Legal Events

Date Code Title Description
EEER Examination request
MKLA Lapsed