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Ferreira VHC, Gardette V, Busser B, Sancey L, Ronsmans S, Bonneterre V, Motto-Ros V, Duponchel L. Enhancing Diagnostic Capabilities for Occupational Lung Diseases Using LIBS Imaging on Biopsy Tissue. Anal Chem 2024; 96:7038-7046. [PMID: 38575850 DOI: 10.1021/acs.analchem.4c00237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/06/2024]
Abstract
Laser-induced breakdown spectroscopy (LIBS) imaging continues to gain strength as an influential bioanalytical technique, showing intriguing potential in the field of clinical analysis. This is because hyperspectral LIBS imaging allows for rapid, comprehensive elemental analysis, covering elements from major to trace levels consistently year after year. In this study, we estimated the potential of a multivariate spectral data treatment approach based on a so-called convex envelope method to detect exotic elements (whether they are minor or in trace amounts) in biopsy tissues of patients with occupational exposure-related diseases. More precisely, we have developed an approach called Interesting Features Finder (IFF), which initially allowed us to identify unexpected elements without any preconceptions, considering only the set of spectra contained in a LIBS hyperspectral data cube. This task is, in fact, almost impossible with conventional chemometric tools, as it entails identifying a few exotic spectra among several hundred thousand others. Once this detection was performed, a second approach based on correlation was used to locate their distribution in the biopsies. Through this unique data analysis pipeline to processing massive LIBS spectroscopic data, it was possible to detect and locate exotic elements such as tin and rhodium in a patient's tissue section, ultimately leading to a possible reclassification of their lung condition as an occupational disease. This review will thus demonstrate the potential of this new diagnostic tool based on LIBS imaging in addressing the shortcomings of approaches developed thus far. The proposed data processing approach naturally transcends this specific framework and can be leveraged across various domains of analytical chemistry, where the detection of rare events is concealed within extensive data sets.
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Affiliation(s)
- Victor H C Ferreira
- CNRS, UMR 8516 - LASIRE - Laboratoire de Spectroscopie pour Les Interactions, La Réactivité et L'Environnement, Univ. Lille, 59000 Lille ,France
| | - Vincent Gardette
- Institut Lumière Matière, UMR 5306, CNRS, Université Claude Bernard Lyon 1, 69622 Villeurbanne ,France
| | - Benoit Busser
- INSERM U1209 CNRS UMR 5309, Institute for Advanced Biosciences, Univ. Grenoble Alpes, 38000 Grenoble, France
- Department of Laboratory Medicine, Grenoble Alpes University Hospital, 38000 Grenoble, France
| | - Lucie Sancey
- INSERM U1209 CNRS UMR 5309, Institute for Advanced Biosciences, Univ. Grenoble Alpes, 38000 Grenoble, France
- Department of Laboratory Medicine, Grenoble Alpes University Hospital, 38000 Grenoble, France
| | - Steven Ronsmans
- Centre for Environment and Health, KU Leuven, and Department of Respiratory Diseases, University Hospitals Leuven, 3000Leuven, Belgium
| | | | - Vincent Motto-Ros
- Institut Lumière Matière, UMR 5306, CNRS, Université Claude Bernard Lyon 1, 69622 Villeurbanne ,France
| | - Ludovic Duponchel
- CNRS, UMR 8516 - LASIRE - Laboratoire de Spectroscopie pour Les Interactions, La Réactivité et L'Environnement, Univ. Lille, 59000 Lille ,France
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Duponchel L, Guerrini R, Ferreira VHC, Llamas CA, Dujardin C, Motto-Ros V. When Social Media Empowers Analytical Chemists to Explore Millions of Spectra Derived from a Complex Sample. Anal Chem 2024; 96:3994-3998. [PMID: 38349767 DOI: 10.1021/acs.analchem.3c05724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2024]
Abstract
Analytical chemistry has never yielded such a wealth of experimental data as it does today, and this exponential trend shows no sign of abating. We continually advance the capabilities of our instruments and conceive innovative concepts, all in a concerted effort to naturally push the boundaries of our understanding regarding intricate sample matrices. Spectroscopic imaging, in the broadest sense, is certainly the field where we observe this acceleration even more pronouncedly. Analytical chemistry swiftly grasped the significance of processing acquired data for comprehensive exploration through utilization of chemometrics or machine learning tools. One can assert today that chemometrics undeniably constitutes an integral facet in the advancement of an analytical approach. However, we are now faced with a new challenge, as the experimental data accumulated for certain analytical techniques are so vast and massive that exploring them with such tools has become unfeasible, and this is by no means a computational capacity issue. Analytical chemistry is far from being the sole field affected by this issue, and one could argue that others have grappled with it long before us, such as, for instance, social media, to name just one. The purpose of this paper is to demonstrate that such a domain, which may initially seem distant from our concerns, can offer novel tools capable of overcoming these barriers, even though we are not necessarily dealing with the same objects. More specifically, we delve into the clustering of over 10 million LIBS spectra acquired as part of an imaging experiment aimed at exploring a singular rock sample. This will serve to demonstrate that an open-source library developed by Meta (formerly known as Facebook) can enable us to conduct a comprehensive exploration of this sample, a feat deemed impossible with conventional data analysis approaches.
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Affiliation(s)
- Ludovic Duponchel
- Université de Lille, CNRS, UMR 8516 - LASIRE - Laboratoire de Spectroscopie pour les Interactions, la Réactivité et l'Environnement, Lille F-59000, France
| | - Ruggero Guerrini
- Université de Lille, CNRS, UMR 8516 - LASIRE - Laboratoire de Spectroscopie pour les Interactions, la Réactivité et l'Environnement, Lille F-59000, France
| | - Victor H C Ferreira
- Université de Lille, CNRS, UMR 8516 - LASIRE - Laboratoire de Spectroscopie pour les Interactions, la Réactivité et l'Environnement, Lille F-59000, France
| | - César Alvarez Llamas
- Université Claude Bernard Lyon 1, Institut Lumière Matière, UMR 5306, CNRS, Villeurbanne 69622, France
| | - Christophe Dujardin
- Université Claude Bernard Lyon 1, Institut Lumière Matière, UMR 5306, CNRS, Villeurbanne 69622, France
- Institut Universitaire de France (IUF), 1 rue Descartes, 75231, Paris Cedex 05, France
| | - Vincent Motto-Ros
- Université Claude Bernard Lyon 1, Institut Lumière Matière, UMR 5306, CNRS, Villeurbanne 69622, France
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Ferreira VHC, Hantao LW, Poppi RJ. Use of color based chromatographic images obtained from comprehensive two-dimensional gas chromatography in authentication analyses. Talanta 2021; 234:122616. [PMID: 34364425 DOI: 10.1016/j.talanta.2021.122616] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 06/10/2021] [Accepted: 06/12/2021] [Indexed: 10/21/2022]
Abstract
Comprehensive two-dimensional gas chromatography (GC×GC) has been an important technique used to acquire as much information as possible from a wide variety of samples. Qualitative contour plots analysis provides useful information and in daily use it ends up being handled as images of the volatile organic compounds by analysts. Cachaça samples are used in this paper to showcase the use of two-dimensional chromatographic images as the main source for authentication purposes through one-class classifiers, such as data-driven soft independent modeling of class analogy (DD-SIMCA). The proposed workflow summarizes this fast and easy process, which can be used to certify a specific brand in comparison to other brands, as well as to authenticate if samples have been adulterated. Lower quality cachaças, non-aged cachaças and cachaças aged in different wooden barrels were tested as adulterants. Chromatographic images allowed for the distinction of all brands and nearly every adulteration tested. Sensitivity was estimated at 100% for all models and specificity ranged from 96% to 100%. Different approaches were used, alternating from working with whole-sized images to working with smaller resized versions of those images. Resized chromatographic images could be potentially useful to easily compensate for slight chromatographic misalignments, allowing for faster calculations and the use of simpler software. Reductions to 50% and 25% of the original size were tested and the results did not greatly differ from whole images model. As such, 2D chromatographic images have been found to be an interesting form of evaluating a product's authenticity.
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Affiliation(s)
- Victor H C Ferreira
- Institute of Chemistry, State University of Campinas, POB 6154, 13084-971, Campinas, SP, Brazil
| | - Leandro W Hantao
- Institute of Chemistry, State University of Campinas, POB 6154, 13084-971, Campinas, SP, Brazil.
| | - Ronei J Poppi
- Institute of Chemistry, State University of Campinas, POB 6154, 13084-971, Campinas, SP, Brazil.
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Paredes-Gamero EJ, Casaes-Rodrigues RL, Moura GEDD, Domingues TM, Buri MV, Ferreira VHC, Trindade ES, Moreno-Ortega AJ, Cano-Abad MF, Nader HB, Ferreira AT, Miranda A, Justo GZ, Tersariol ILS. Cell-Permeable Gomesin Peptide Promotes Cell Death by Intracellular Ca2+ Overload. Mol Pharm 2012; 9:2686-97. [DOI: 10.1021/mp300251j] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
| | | | | | | | | | - Victor H. C. Ferreira
- Departamento de Biologia Celular,
Universidade Federal do Paraná, PO Box 19031, 81531-990, Curitiba,
Brazil
| | - Edvaldo S. Trindade
- Departamento de Biologia Celular,
Universidade Federal do Paraná, PO Box 19031, 81531-990, Curitiba,
Brazil
| | - Ana J. Moreno-Ortega
- Instituto Teófilo
Hernando, Servicio de Farmacología Clínica, Instituto
de Investigación Sanitaria, Hospital Universitario de la Princesa,
Universidad Autónoma de Madrid, Madrid, Spain
| | - María F. Cano-Abad
- Instituto Teófilo
Hernando, Servicio de Farmacología Clínica, Instituto
de Investigación Sanitaria, Hospital Universitario de la Princesa,
Universidad Autónoma de Madrid, Madrid, Spain
| | | | | | | | - Giselle Z. Justo
- Departamento de Ciências Biológicas,
Universidade Federal de São Paulo, Diadema, SP, Brazil
| | - Ivarne L. S. Tersariol
- Centro Interdisciplinar de Investigação
Bioquímica, Universidade de Mogi das Cruzes, Mogi das Cruzes,
SP, Brazil
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