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 PDFInfo
- 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
Links
- 238000012512 characterization method Methods 0.000 title abstract 3
- 238000000608 laser ablation Methods 0.000 title abstract 2
- 238000000034 method Methods 0.000 abstract 2
- 238000013528 artificial neural network Methods 0.000 abstract 1
- 230000000975 bioactive effect Effects 0.000 abstract 1
- 150000001875 compounds Chemical class 0.000 abstract 1
- 230000001717 pathogenic effect Effects 0.000 abstract 1
- 238000002360 preparation method Methods 0.000 abstract 1
- 230000035945 sensitivity Effects 0.000 abstract 1
- 230000003595 spectral effect Effects 0.000 abstract 1
- 238000001228 spectrum Methods 0.000 abstract 1
- 239000000126 substance Substances 0.000 abstract 1
Classifications
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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
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/71—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light thermally excited
- G01N21/718—Laser microanalysis, i.e. with formation of sample plasma
-
- 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
-
- 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
- G01J3/443—Emission spectrometry
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive 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
- G05B13/027—Adaptive 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
Landscapes
- 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.
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
ID=43356814
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)
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)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030132142A1 (en) * | 1996-02-16 | 2003-07-17 | Huron Valley Steel Corporation | Metal scrap sorting system |
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2009
- 2009-06-18 ES ES200901443A patent/ES2356879B1/en active Active
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2010
- 2010-06-18 WO PCT/ES2010/000267 patent/WO2010146199A2/en active Application Filing
Patent Citations (1)
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)
Title |
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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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