WO2010146199A3 - Instantaneous identification and characterisation of samples using the dynamic combination of laser ablation and mathematical algorithms - Google Patents

Instantaneous identification and characterisation of samples using the dynamic combination of laser ablation and mathematical algorithms Download PDF

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Publication number
WO2010146199A3
WO2010146199A3 PCT/ES2010/000267 ES2010000267W WO2010146199A3 WO 2010146199 A3 WO2010146199 A3 WO 2010146199A3 ES 2010000267 W ES2010000267 W ES 2010000267W WO 2010146199 A3 WO2010146199 A3 WO 2010146199A3
Authority
WO
WIPO (PCT)
Prior art keywords
samples
characterisation
laser ablation
mathematical algorithms
identification
Prior art date
Application number
PCT/ES2010/000267
Other languages
Spanish (es)
French (fr)
Other versions
WO2010146199A2 (en
Inventor
Jorge Omar CÁCERES
Daniel MARCOS MARTÍNEZ
Francisco Jesús ORTEGA NOGALES
Marcos DEL VALLE ÁVILA
Original Assignee
Universidad Complutense De Madrid
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
Application filed by Universidad Complutense De Madrid filed Critical Universidad Complutense De Madrid
Publication of WO2010146199A2 publication Critical patent/WO2010146199A2/en
Publication of WO2010146199A3 publication Critical patent/WO2010146199A3/en

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Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/71Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
    • G01N21/718Laser microanalysis, i.e. with formation of sample plasma
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01JMEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
    • G01J3/00Spectrometry; Spectrophotometry; Monochromators; Measuring colours
    • G01J3/28Investigating the spectrum
    • G01J3/443Emission spectrometry
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only

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  • Physics & Mathematics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Pathology (AREA)
  • Optics & Photonics (AREA)
  • Plasma & Fusion (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Immunology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biochemistry (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Automation & Control Theory (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention relates to the instantaneous identification and characterisation of samples with no prior treatment, using the dynamic combination of laser ablation and mathematical algorithms. The method consists in analysing a single laser pulse in order to obtain a spectrum of the sample, which is compared with a dynamic spectral database using a neural network that allows a large amount of data to be handled in a very short space of time with 100% sensitivity and specificity. The identification and characterisation technique is quick and direct and allows the correlation of analytical data with organoleptic properties or quality properties, as well as the determination of contaminating, pathogenic or bioactive compounds and substances present in samples, in all states of the material and without any form of prior preparation.
PCT/ES2010/000267 2009-06-18 2010-06-18 Instantaneous identification and characterisation of samples using the dynamic combination of laser ablation and mathematical algorithms WO2010146199A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ESP200901443 2009-06-18
ES200901443A ES2356879B1 (en) 2009-06-18 2009-06-18 INSTANT IDENTIFICATION AND CHARACTERIZATION OF SAMPLES THROUGH LASER ABLATION DYNAMIC COMBINATION AND MATHEMATICAL ALGORITHMS.

Publications (2)

Publication Number Publication Date
WO2010146199A2 WO2010146199A2 (en) 2010-12-23
WO2010146199A3 true WO2010146199A3 (en) 2011-07-14

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/ES2010/000267 WO2010146199A2 (en) 2009-06-18 2010-06-18 Instantaneous identification and characterisation of samples using the dynamic combination of laser ablation and mathematical algorithms

Country Status (2)

Country Link
ES (1) ES2356879B1 (en)
WO (1) WO2010146199A2 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2401143R1 (en) * 2011-04-07 2013-04-19 Univ Madrid Complutense DISCRIMINATION OF INDIVIDUALS FROM OSEO FABRIC USING LASER ABLATION SPECTROSCOPY AND MATHEMATICAL PROCEDURES.
ES2577864B1 (en) * 2015-01-16 2017-04-28 Indra Sistemas, S.A. Equipment for the analysis of shot residue, methods for determining the presence of shot waste and method for determining the shooting distance
US11193884B2 (en) 2018-07-02 2021-12-07 The Research Foundation For The State University Of New York System and method for structural characterization of materials by supervised machine learning-based analysis of their spectra
ES2688968B2 (en) * 2018-08-03 2020-03-19 Univ Madrid Complutense Detection of adulteration and identification of the geographical origin of honeys
US11933727B2 (en) 2022-02-07 2024-03-19 Labby Inc. Computer-implemented apparatus and method for analyzing milk

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030132142A1 (en) * 1996-02-16 2003-07-17 Huron Valley Steel Corporation Metal scrap sorting system

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030132142A1 (en) * 1996-02-16 2003-07-17 Huron Valley Steel Corporation Metal scrap sorting system

Non-Patent Citations (8)

* Cited by examiner, † Cited by third party
Title
GORNUSHKIN, LB. ET AL.: "Identification of Solid Materials by Correlation Analysis Using a Microscopic Laser-Induced Plasma Spectrometer.", ANALYTICAL CHEMISTRY, vol. 71, no. 22, 14 November 1999 (1999-11-14), pages 5157 A 5164 *
MOLLER, M.F.: "A scaled conjugated gradient algorithm for fast supervised learning.", 18 February 2005 (2005-02-18), Retrieved from the Internet <URL:http://www.sciencedirect.com/science/article/B6T08-4HClK78-5/2/83389e738f7c78e981dladdae6bfa827> [retrieved on 20101104] *
MOTTO-ROS, V. ET AL.: "Quantitative multi- elemental laser-induced breakdown spectroscopy using artificial neural networks.", JOURNAL OF THE EUROPEAN OPTICAL SOCIETY - RAPID PUBLICATIONS., vol. 3, 2008, pages 08011-1 - 08011-5 *
RAMIL, A. ET AL.: "Application of artificial neural networks for the rapid classification of archaeological ceramics by means of laser induced breakdown spectroscopy (LIBS).", APPLIED PHYSICS A. MATERIALS SCIENCE & PROCESSING., vol. 92, no. 1, 2008, pages 197 - 202, XP019626691 *
SNYDER, E.G. ET AL.: "Laser-induced breakdown spectroscopy for the classification of unknown powders.", APPLIED OPTICS, vol. 47, no. 31, 1 November 2008 (2008-11-01), pages G80 - G87, XP001519340, doi:10.1364/AO.47.000G80 *
WIKIPEDIA ET AL.: "Laser-induced breakdown spectroscopy.", 2 June 2009 (2009-06-02), Retrieved from the Internet <URL:http://en.wikipedia.org/w/index.php?title=Laser-induced_breakdownspectroscopy&oldid=293940191> [retrieved on 20101104] *
WIKIPEDIA ET AL.: "Multilayer perceptron.", 14 June 2009 (2009-06-14), Retrieved from the Internet <URL:http://en.wikipedia.org/w/index.php?title=Multilayer_perceptron&oldid=296332932&printable=yes> [retrieved on 20101104] *
WIKIPEDIA ET AL.: "Nd: YAG laser.", 26 April 2009 (2009-04-26), Retrieved from the Internet <URL:http://en.wikipedia.org/w/index.php?title=Nd:YAGlaser&oldid=286140280> [retrieved on 20101104] *

Also Published As

Publication number Publication date
WO2010146199A2 (en) 2010-12-23
ES2356879A1 (en) 2011-04-14
ES2356879B1 (en) 2012-02-22

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