laser-induced-breakdown-spectroscopy-new-approach-for-nanoparticle-s

Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue

Emission spectroscopy of laser-induced plasma was applied to elemental analysis of biological samples. Laser-induced breakdown spectroscopy (LIBS) ...

CNRS - Université Lyon 1

Determining the number of fluorescent entities that are coupled to a given molecule (DNA, protein, etc.) is a key point of numerous biological studies, especially those based on a single molecule approach. Reliable methods are important, in this context, not only to characterize the labeling process but also to quantify interactions, for instance within molecular complexes. We combined fluorescence correlation spectroscopy (FCS) and photobleaching experiments to measure the effective number of molecules and the molecular brightness as a function of the total fluorescence count rate on solutions of cDNA (containing a few percent of C bases labeled with Alexa Fluor 647). Here, photobleaching is used as a control parameter to vary the experimental outputs (brightness and number of molecules). Assuming a Poissonian distribution of the number of fluorescent labels per cDNA, the FCS-photobleaching data could be easily fit to yield the mean number of fluorescent labels per cDNA strand (approximately = 2). This number could not be determined solely on the basis of the cDNA brightness, because of both the statistical distribution of the number of fluorescent labels and their unknown brightness when incorporated in cDNA. The statistical distribution of the number of fluorophores labeling cDNA was confirmed by analyzing the photon count distribution (with the cumulant method), which showed clearly that the brightness of cDNA strands varies from one molecule to the other. We also performed complementary continuous photobleaching experiments and found that the photobleaching decay rate of Alexa Fluor 647 in the excited state decreases by about 30% when incorporated into cDNA, while its nonradiative decay rate is increased such that the brightness of individual Alexa labels is decreased by 25% compared to free Alexa dyes.

Measuring, in solution, multiple-fluorophore labeling by combining fluorescence correlation spectroscopy and photobleaching.

&#x6FC0;&#x5149;&#x8BF1;&#x5BFC;&#x51FB;&#x7A7F;&#x5149;&#x8C31; &#xFF08;LIBS&#xFF09; &#x548C; &#xFF08;&#x4EBA;&#x5DE5;&#xFF09; &#x4EBA;&#x5DE5;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x7684;&#x7EC4;&#x5408;&#x5DF2;&#x88AB;&#x7528;&#x4E8E;&#x9AD8;&#x5206;&#x5B50;&#x6750;&#x6599;&#xFF0C;&#x5305;&#x62EC;&#x805A;&#x4E19;&#x70EF; (PP)&#x3001; &#x805A;&#x6C2F;&#x4E59;&#x70EF; (PVC)&#x3001; &#x805A;&#x56DB;&#x6C1F;&#x4E59;&#x70EF; (PTFE)&#x3001; &#x805A;&#x7532;&#x919B; (POM)&#x3001; &#x805A;&#x4E59;&#x70EF; (PE)&#x3001; &#x805A;&#x9170;&#x80FA;&#x6216;&#x5C3C;&#x9F99; (PA)&#x3001; &#x805A;&#x78B3;&#x9178;&#x916F; (PC) &#x548C; poly(methyl methacrylate) (&#x805A;&#x7532;&#x57FA;&#x4E19;&#x70EF;&#x9178;&#x7532;&#x916F;) &#x7684;&#x9274;&#x5B9A;&#x3002;&#x4F18;&#x5316;&#x5B9E;&#x9A8C;&#x8BBE;&#x7F6E;&#x548C;&#x9891;&#x8C31;&#x6536;&#x8D2D;&#x534F;&#x8BAE;&#xFF0C;&#x6210;&#x529F;&#x8BC6;&#x522B;&#x7387; 81 &#x548C; 100%&#x4E4B;&#x95F4;&#x53D6;&#x5F97;&#x4E86;&#x540E;&#x4F7F;&#x7528;&#x5149;&#x8C31;&#x7279;&#x5F81;&#x6536;&#x96C6;&#x4ECE;&#x5355;&#x4E2A;&#x8C31;&#x4E0D;&#x5E73;&#x5747; &#xFF08;1 &#x7B2C;&#x4E8C;&#x6B21;&#x91C7;&#x96C6;&#x65F6;&#x95F4;&#xFF09; &#xFF08;240-820 nm&#xFF09; &#x7684;&#x5BBD;&#x5149;&#x8C31;&#x8303;&#x56F4;&#x5185;&#x3002;&#x6B64;&#x5916;&#xFF0C;&#x4F7F;&#x7528;&#x9274;&#x5B9A;&#x8FC7;&#x7A0B;&#xFF0C;&#x8FDB;&#x884C;&#x4E86;&#x6D4B;&#x8BD5;&#x57FA;&#x4E8E; PVC &#x7684;&#x5341;&#x4E2A;&#x4E0D;&#x540C;&#x7684;&#x6750;&#x6599;&#x3002;&#x4EE5;&#x53CA;&#x83B7;&#x5F97;&#x4E86;&#x6B63;&#x786E;&#x7684;&#x6807;&#x8BC6;&#x3002;&#x6750;&#x6599;&#x7684;&#x5206;&#x7C7B;&#x5230;&#x5B50;&#x7C7B;&#x522B;&#x7684; PVC &#x6750;&#x6599;&#x6839;&#x636E;&#x5176;&#x6536;&#x8D39; &#xFF08;&#x6D53;&#x5EA6;&#x5728;&#x75D5;&#x91CF;&#x5143;&#x7D20;&#x5982; Ca&#xFF09; &#x6267;&#x884C;&#x3002;&#x9002;&#x5408;&#x8868;&#x73B0;&#x51FA;&#x7684;&#x80FD;&#x529B;&#xFF0C;&#x5728;&#x5B9E;&#x8DF5;&#x4E2D;&#xFF0C;&#x5851;&#x6599;&#x5E9F;&#x7269;&#x5206;&#x7C7B;&#x548C;&#x751F;&#x4EA7;&#x9AD8;&#x6863;&#x518D;&#x751F;&#x5851;&#x6599;&#x6750;&#x6599;&#x7684;&#x9700;&#x8981;&#x3002;

&#x4F7F;&#x7528;&#x6FC0;&#x5149;&#x8BF1;&#x5BFC;&#x51FB;&#x7A7F;&#x5149;&#x8C31;&#x6280;&#x672F;&#x7ED3;&#x5408;&#x4EBA;&#x5DE5;&#x795E;&#x7ECF;&#x7F51;&#x7EDC;&#x7684;&#x9AD8;&#x5206;&#x5B50;&#x6750;&#x6599;&#x7684;&#x6807;&#x8BC6;&#x3002;

A combination of laser-induced breakdown spectroscopy (LIBS) and artificial neural networks (ANNs) has been used for the identification of polymer materials, including polypropylene (PP), polyvinyl chloride (PVC), polytetrafluoroethylene (PTFE), polyoxymethylene (POM), polyethylene (PE), polyamide or nylon (PA), polycarbonate (PC) and poly(methyl methacrylate) (PMMA). After optimization of the experimental setup and the spectrum acquisition protocol, successful identification rates between 81 and 100% were achieved using spectral features gathered from single spectra without averaging (1 second acquisition time) over a wide spectral range (240-820 nm). Furthermore, ten different materials based on PVC were tested using the identification procedure. Correct identifications were obtained as well. Sorting of the materials into sub-categories of PVC materials according to their charges (concentration in trace elements such as Ca) was performed. The demonstrated capacities fit, in practice, the needs of plastic-waste sorting and of producing high-grade recycled plastic materials.

Identification of polymer materials using laser-induced breakdown spectroscopy combined with artificial neural networks.

Une combinaison de spectroscopie induite par laser (LIBS) et les r&eacute;seaux neuronaux artificiels (RNA) a &eacute;t&eacute; utilis&eacute;e pour l&#39;identification des mat&eacute;riaux polym&egrave;res, y compris le polypropyl&egrave;ne (PP), polychlorure de vinyle (PVC), le polyt&eacute;trafluoro&eacute;thyl&egrave;ne (PTFE), polyoxym&eacute;thyl&egrave;ne (POM), poly&eacute;thyl&egrave;ne (PE), polyamide ou nylon (PA), en polycarbonate (PC) et poly(methyl methacrylate) (PMMA). Apr&egrave;s optimisation d&#39;exp&eacute;rimental et du protocole d&#39;acquisition du spectre, le taux d&#39;identification r&eacute;ussie entre 81 et 100 % ont &eacute;t&eacute; obtenus en utilisant les caract&eacute;ristiques spectrales rassembl&eacute; de spectres unique sans en moyenne (temps d&#39;acquisition de 1 seconde) sur un large domaine spectral (240-820 nm). En outre, dix diff&eacute;rents mat&eacute;riaux issu de PVC ont &eacute;t&eacute; test&eacute;s &agrave; l&#39;aide de la proc&eacute;dure d&#39;identification. Identifications correctes ont &eacute;t&eacute; obtenues aussi bien. Tri des mat&eacute;riaux en sous-cat&eacute;gories des mat&eacute;riaux de PVC selon leurs charges (concentration en oligo-&eacute;l&eacute;ments comme Ca) a &eacute;t&eacute; r&eacute;alis&eacute;e. Les capacit&eacute;s d&eacute;montr&eacute;es en forme, dans la pratique, les besoins du tri des d&eacute;chets en plastique et de produire des mat&eacute;riaux en plastique recycl&eacute;s de grande qualit&eacute;.

Identification des mat&eacute;riaux polym&egrave;res &agrave; l&#39;aide de laser-induced breakdown spectroscopy, combin&eacute; avec des r&eacute;seaux de neurones artificiels.

Eine Kombination von Laser-induzierte Breakdown Spektroskopie (LIBS) und K&uuml;nstliche Neuronale Netze (ANNs) wurde f&uuml;r die Identifizierung von Polymerwerkstoffen, einschlie&szlig;lich Polypropylen (PP), Polyvinylchlorid (PVC), Polytetrafluorethylen (PTFE), Polyoxymethylen (POM), Polyethylen (PE), Polyamid oder Nylon (PA), Polycarbonat (PC) und Poly(methylmethacrylat) (PMMA) verwendet. Nach Optimierung der Versuchsaufbau und Spektrum-&Uuml;bernahme-Protokoll, erfolgreiche Identifikation Preise zwischen 81 und 100 % erreicht wurden gesammelt mit Spektralcharakteristiken von einzelnen Spektren ohne Mittelwertbildung (1 Sekunde Erfassungszeit) &uuml;ber einen breiten Spektralbereich (240-820 nm). Dar&uuml;ber hinaus wurden zehn verschiedene Materialien auf PVC-Basis mit den Identifizierungsverfahren getestet. Korrekte Identifizierungen wurden auch erzielt. Sortierung der Materialien in Untergruppen von PVC-Materialien nach ihre Geb&uuml;hren (Konzentration in Spurenelemente wie Ca) wurde durchgef&uuml;hrt. Die nachgewiesenen F&auml;higkeiten passen, in der Praxis die Bed&uuml;rfnisse der Kunststoff-M&uuml;ll sortieren und produzieren hochwertige Recycling-Kunststoff-Materialien.

Identifizierung von Polymerwerkstoffen mit Laser-induzierte Breakdown Spektroskopie in Kombination mit k&uuml;nstlichen neuronalen Netzen.

Una combinazione di spettroscopia di ripartizione indotta laser (LIBS) e reti neurali artificiali (Ann) &egrave; stata utilizzata per l&#39;identificazione dei materiali polimerici, tra cui il polipropilene (PP), cloruro di polivinile (PVC), il politetrafluoroetilene (PTFE), poliossimetilene (POM), polietilene (PE), poliammide o nylon (PA), policarbonato (PC) e poly(methyl methacrylate) (PMMA). Dopo ottimizzazione il setup sperimentale e il protocollo di acquisizione dello spettro, tassi di successo identificazione tra 81 e 100% sono stati raggiunti utilizzando caratteristiche spettrali raccolti da singoli spettri senza una media (tempo di acquisizione di 1 secondo) sopra un ampio spettro (240-820 nm). Inoltre, dieci diversi materiali basati su PVC sono stati testati utilizzando la procedura di identificazione. Identificazioni corrette sono state ottenute cos&igrave;. L&#39;ordinamento dei materiali in sotto-categorie di materiali in PVC secondo loro cariche (concentrazione di oligoelementi come Ca) &egrave; stata eseguita. La capacit&agrave; dimostrata in forma, in pratica, le esigenze di plastica-cernita di rifiuti e di produzione di alta qualit&agrave; materiali plastici riciclati.

Identificazione dei materiali polimerici mediante spettroscopia di ripartizione indotta laser combinata con reti neurali artificiali.

&#x30EC;&#x30FC;&#x30B6;&#x30FC;&#x8A98;&#x8D77;&#x30D6;&#x30EC;&#x30FC;&#x30AF; &#x30C0;&#x30A6;&#x30F3;&#x5206;&#x5149;&#x6CD5; (LIBS) &#x3068;&#x4EBA;&#x5DE5;&#x30CB;&#x30E5;&#x30FC;&#x30E9;&#x30EB; &#x30CD;&#x30C3;&#x30C8;&#x30EF;&#x30FC;&#x30AF; &#xFF08;Ann&#xFF09; &#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x306F;&#x3001;&#x30DD;&#x30EA;&#x30D7;&#x30ED;&#x30D4;&#x30EC;&#x30F3; &#xFF08;PP&#xFF09;&#x3001;&#x30DD;&#x30EA;&#x5869;&#x5316;&#x30D3;&#x30CB;&#x30EB; &#xFF08;PVC&#xFF09;&#x3001;&#x30DD;&#x30EA;&#x30C6;&#x30C8;&#x30E9;&#x30D5;&#x30EB;&#x30AA;&#x30ED; &#x30A8;&#x30C1;&#x30EC;&#x30F3; &#xFF08;PTFE&#xFF09;&#x3001;&#x30DD;&#x30EA;&#x30AA;&#x30AD;&#x30B7;&#x30E1;&#x30C1;&#x30EC;&#x30F3; (POM)&#x3001;&#x30DD;&#x30EA;&#x30A8;&#x30C1;&#x30EC;&#x30F3; &#xFF08;PE&#xFF09;&#x3001;&#x30DD;&#x30EA;&#x30A2;&#x30DF;&#x30C9;&#x307E;&#x305F;&#x306F;&#x30CA;&#x30A4;&#x30ED;&#x30F3; (PA)&#x3001;&#x30DD;&#x30EA;&#x30AB;&#x30FC;&#x30DC;&#x30CD;&#x30FC;&#x30C8; &#xFF08;PC&#xFF09; &#x3068; poly(methyl methacrylate) &#x3092;&#x542B;&#x3080;&#x9AD8;&#x5206;&#x5B50;&#x6750;&#x6599;&#x306E;&#x540C;&#x5B9A;&#x306E;&#x305F;&#x3081;&#x4F7F;&#x7528;&#x3055;&#x308C;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;&#x5B9F;&#x9A13;&#x306E;&#x30BB;&#x30C3;&#x30C8;&#x30A2;&#x30C3;&#x30D7;&#x3068;&#x30B9;&#x30DA;&#x30AF;&#x30C8;&#x30EB;&#x7372;&#x5F97;&#x30D7;&#x30ED;&#x30C8;&#x30B3;&#x30EB;&#x3001;&#x6210;&#x529F;&#x3057;&#x305F;&#x8B58;&#x5225;&#x7387; 81 &#x301C; 100 &#xFF05; &#x306E;&#x6700;&#x9069;&#x5316;&#x3092;&#x5B9F;&#x73FE;&#x3057;&#x305F;&#x5F8C;&#x30B9;&#x30DA;&#x30AF;&#x30C8;&#x30EB;&#x7279;&#x5FB4;&#x3092;&#x7528;&#x3044;&#x305F;&#x5358;&#x4E00;&#x30B9;&#x30DA;&#x30AF;&#x30C8;&#x30EB;&#x304B;&#x3089; &#xFF08;1 &#x79D2;&#x30A2;&#x30AF;&#x30A4;&#x30B8;&#x30B7;&#x30E7;&#x30F3;&#x6642;&#x9593;) &#x5E73;&#x5747;&#x5316;&#x305B;&#x305A;&#x3001;&#x5E83;&#x3044;&#x6CE2;&#x9577;&#x7BC4;&#x56F2;&#x3067; &#xFF08;240 820 nm&#xFF09; &#x96C6;&#x307E;&#x3063;&#x305F;&#x3002;&#x3055;&#x3089;&#x306B;&#x3001;PVC &#x4E0A;&#x306B;&#x57FA;&#x3065;&#x3044;&#x3066; 10 &#x306E;&#x7570;&#x306A;&#x308B;&#x6750;&#x6599;&#x8B58;&#x5225;&#x624B;&#x9806;&#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30C6;&#x30B9;&#x30C8;&#x3055;&#x308C;&#x307E;&#x3057;&#x305F;&#x3002;&#x6B63;&#x3057;&#x3044;&#x8B58;&#x5225;&#x3082;&#x5F97;&#x3089;&#x308C;&#x307E;&#x3057;&#x305F;&#x3002;&#x6750;&#x6599;&#x306E; PVC &#x6750;&#x6599;&#x306B;&#x5F93;&#x3063;&#x3066;&#x5F7C;&#x3089;&#x306E;&#x5145;&#x6E80; (Ca &#x7B49;&#x5FAE;&#x91CF;&#x5143;&#x7D20;&#x306E;&#x6FC3;&#x5EA6;) &#x306E;&#x30B5;&#x30D6;&#x30AB;&#x30C6;&#x30B4;&#x30EA;&#x306B;&#x4E26;&#x3079;&#x66FF;&#x3048;&#x304C;&#x5B9F;&#x884C;&#x3055;&#x308C;&#x307E;&#x3057;&#x305F;&#x3002;&#x5B9F;&#x8A3C;&#x5BB9;&#x91CF;&#x306F;&#x3001;&#x5B9F;&#x7FD2;&#x3067;&#x306F;&#x3001;&#x30D7;&#x30E9;&#x30B9;&#x30C1;&#x30C3;&#x30AF;&#x5EC3;&#x68C4;&#x7269;&#x306E;&#x5206;&#x5225;&#x3068;&#x9AD8;&#x54C1;&#x4F4D;&#x30EA;&#x30B5;&#x30A4;&#x30AF;&#x30EB; &#x30D7;&#x30E9;&#x30B9;&#x30C1;&#x30C3;&#x30AF;&#x6750;&#x6599;&#x306E;&#x751F;&#x7523;&#x306E;&#x30CB;&#x30FC;&#x30BA;&#x9069;&#x5408;&#x3057;&#x307E;&#x3059;&#x3002;

&#x30EC;&#x30FC;&#x30B6;&#x30FC;&#x8A98;&#x8D77;&#x30D6;&#x30EC;&#x30FC;&#x30AF; &#x30C0;&#x30A6;&#x30F3;&#x5206;&#x5149;&#x6CD5;&#x306B;&#x3088;&#x308B;&#x9AD8;&#x5206;&#x5B50;&#x6750;&#x6599;&#x306E;&#x540C;&#x5B9A;&#x3068;&#x30CB;&#x30E5;&#x30FC;&#x30E9;&#x30EB; &#x30CD;&#x30C3;&#x30C8;&#x30EF;&#x30FC;&#x30AF;&#x3092;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x305F;&#x3002;

&#xB808;&#xC774;&#xC800; &#xC720;&#xB3C4; &#xB0B4;&#xC5ED; &#xBD84;&#xAD11;&#xD559; (libs&#xC640;)&#xC640; &#xC778;&#xACF5; &#xC2E0;&#xACBD;&#xB9DD; (&#xC564;) &#xACE0;&#xBD84;&#xC790; &#xC18C;&#xC7AC;, &#xD3F4; &#xB9AC; &#xD504;&#xB85C;&#xD544; &#xB80C; (PP), &#xD3F4; &#xB9AC; &#xC5FC;&#xD654; &#xBE44;&#xB2D0; (PVC), &#xC18C;&#xACC4; (PTFE), polyoxymethylene (POM), &#xD3F4; &#xB9AC; &#xC5D0;&#xD2F8;&#xB80C; (PE), &#xD3F4; &#xB9AC;&#xC544; &#xBBF8;&#xB4DC; &#xB610;&#xB294; &#xB098;&#xC77C;&#xB860; (PA), &#xD3F4; &#xB9AC;&#xCE74; &#xBCF4; &#xB124;&#xC774;&#xD2B8; (PC) poly(methyl methacrylate) (PMMA) &#xB4F1;&#xC758; &#xC2DD;&#xBCC4;&#xC744; &#xC704;&#xD574; &#xC0AC;&#xC6A9; &#xB418;&#xC5C8;&#xC2B5;&#xB2C8;&#xB2E4;. &#xD6C4; &#xC2E4;&#xD5D8; &#xC124;&#xCE58; &#xBC0F; &#xC2A4;&#xD399;&#xD2B8;&#xB7FC; &#xC218;&#xC9D1; &#xD504;&#xB85C;&#xD1A0;&#xCF5C;, 81 ~ 100% &#xC0AC;&#xC774;&#xC758; &#xC131;&#xACF5;&#xC801;&#xC778; &#xC2DD;&#xBCC4; &#xB960;&#xC758; &#xCD5C;&#xC801;&#xD654; &#xB2EC;&#xC131; &#xD588;&#xB2E4; &#xC2A4;&#xD399;&#xD2B8;&#xB7FC; &#xAE30;&#xB2A5;&#xC744; &#xC0AC;&#xC6A9; &#xD558; &#xC5EC; &#xC218;&#xC9D1; &#xB2E8;&#xC77C; &#xC2A4;&#xD399;&#xD2B8;&#xB7FC;&#xC5D0;&#xC11C; &#xD3C9;&#xADE0; (1 &#xCD08; &#xC218;&#xC9D1; &#xC2DC;&#xAC04;) &#xC5C6;&#xC774; &#xB113;&#xC740; &#xC2A4;&#xD399;&#xD2B8;&#xB7FC; &#xBC94;&#xC704; (240-820 nm). &#xB610;&#xD55C;, 10 &#xAC00;&#xC9C0; &#xC7AC;&#xB8CC; PVC &#xAE30;&#xBC18; &#xC2DD;&#xBCC4; &#xC808;&#xCC28;&#xB97C; &#xC0AC;&#xC6A9; &#xD558; &#xC5EC; &#xD14C;&#xC2A4;&#xD2B8; &#xB418;&#xC5C8;&#xC2B5;&#xB2C8;&#xB2E4;. &#xC62C;&#xBC14;&#xB978; &#xC2DD;&#xBCC4;&#xB3C4; &#xD68D;&#xB4DD; &#xD588;&#xB2E4;. (Ca &#xB4F1; &#xCD94;&#xC801; &#xC694;&#xC18C;&#xC5D0; &#xC9D1;&#xC911;) &#xADF8;&#xB4E4;&#xC758; &#xCC45;&#xC784;&#xC5D0; &#xB530;&#xB77C; PVC &#xC7AC;&#xB8CC;&#xC758; &#xD558;&#xC704; &#xCE74;&#xD14C;&#xACE0;&#xB9AC;&#xC5D0; &#xC790;&#xB8CC;&#xC758; &#xC815;&#xB82C; &#xC218;&#xD589; &#xB418;&#xC5C8;&#xB2E4;. &#xC2DC;&#xC5F0;&#xB41C; &#xC6A9;&#xB7C9; &#xC5F0;&#xC2B5;, &#xACE0;&#xAE09; &#xC7AC;&#xD65C;&#xC6A9;&#xB41C; &#xD50C;&#xB77C;&#xC2A4;&#xD2F1; &#xC18C;&#xC7AC;&#xB97C; &#xC0DD;&#xC0B0; &#xD50C;&#xB77C;&#xC2A4;&#xD2F1; &#xD3D0;&#xAE30;&#xBB3C; &#xC815;&#xB82C;&#xC758; &#xC694;&#xAD6C;&#xC5D0;&#xC5D0;&#xC11C; &#xB9DE;&#xAC8C;.

&#xB808;&#xC774;&#xC800; &#xC720;&#xB3C4; &#xB0B4;&#xC5ED; &#xBD84;&#xAD11;&#xD559; &#xC778;&#xACF5; &#xC2E0;&#xACBD; &#xB124;&#xD2B8;&#xC6CC;&#xD06C;&#xC640; &#xD568;&#xAED8; &#xC0AC;&#xC6A9; &#xD558; &#xC5EC; &#xACE0;&#xBD84;&#xC790; &#xC7AC;&#xB8CC;&#xC758; &#xC2DD;&#xBCC4;.

Una combinaci&oacute;n de espectroscopia de ruptura inducida por l&aacute;ser (LIBS) y redes neuronales artificiales (ANNs) se ha utilizado para la identificaci&oacute;n de los materiales de pol&iacute;mero, incluyendo el polipropileno (PP), cloruro de polivinilo (PVC), politetrafluoretileno (PTFE), polioximetileno (POM), polietileno (PE), poliamida o nylon (PA), policarbonato (PC) y poly(methyl methacrylate) (PMMA). Despu&eacute;s de optimizaci&oacute;n de la instalaci&oacute;n experimental y el protocolo de adquisici&oacute;n de espectro, las tasas de &eacute;xito de identificaci&oacute;n entre 81 y 100% fueron alcanzados usando caracter&iacute;sticas espectrales reuni&oacute; de espectros solos sin promedio (tiempo de la adquisici&oacute;n de 1 segundo) sobre un amplio espectro (240-820 nm). Adem&aacute;s, diez diferentes materiales basados en PVC fueron analizados usando el procedimiento de identificaci&oacute;n. As&iacute; se obtuvieron identificaciones correctas. Clasificaci&oacute;n de los materiales en subcategor&iacute;as de materiales de PVC seg&uacute;n sus cargos (concentraci&oacute;n en oligoelementos tales como Ca) fue realizada. Ajuste de la capacidad demostrada, en la pr&aacute;ctica, las necesidades de clasificaci&oacute;n de residuos de pl&aacute;stico y de producir materiales de pl&aacute;sticos reciclados de alta calidad.

Identificaci&oacute;n de los materiales de pol&iacute;mero mediante espectroscopia de ruptura inducida por l&aacute;ser combinada con redes neuronales artificiales.

Pulsed laser ablation has proved its reliability for the synthesis of nano-particles and nano-structured materials, including metastable phases and complex stoichiometries. The possible nucleation of the nanoparticles in the gas phase and their growth has been little investigated, due to the difficulty of following the gas composition as well as the thermodynamic parameters. We show that such information can be obtained from the optically active plasma during its short lifetime, only a few microseconds for each laser pulse, as a result of a quick quenching due to the liquid environment. For this purpose, we follow the laser ablation of an α-Al2O3 target (corindon) in water, which leads to the synthesis of nanoparticles of γ-Al2O3. The AlO blue-green emission and the Al(I) (2)P(0)-(2)S doublet emission provide the electron density, the density ratio between the Al atoms and AlO molecules, and the rotational and vibrational temperatures of the AlO molecules. These diagnostic considerations are discussed in the framework of theoretical studies from the literature (density functional theory). We have found that starting from a hot atomized gas, the nucleation cannot occur in the first microseconds. We also raise the question of the influence of water on the control of the stoichiometry.

Vincent Motto-Ros

ILM-PUBLI UMR 5306

CNRS - Université Lyon 1

Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue

Vincent Motto-Ros

.css-o250i3{font-size:18px;font-family:Open Sans,sans-serif;line-height:21.6px;}ILM-PUBLI UMR 5306

CNRS - Université Lyon 1

Laser-induced Breakdown Spectroscopy: A New Approach for Nanoparticle's Mapping and Quantification in Organ Tissue

ILM-PUBLI UMR 5306