Spectral and Time-Resolved Near Infrared (1-2 µm) Laser Induced Breakdown Spectroscopy for Chemical Sensing

2012 ◽  
Author(s):  
E. Kumi Barimah ◽  
U. Hömmerich ◽  
E. Brown ◽  
C. S.-C. Yang ◽  
S. B. Trivedi ◽  
...  
Keyword(s):  
Chemical Sensing ◽  
Near Infrared ◽  
Laser Induced Breakdown Spectroscopy ◽  
Time Resolved ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Determination of Carbon Content in Steel Using Laser-Induced Breakdown Spectroscopy

1992 ◽  
Vol 46 (9) ◽  
pp. 1382-1387 ◽  
Author(s):  
J. A. Aguilera ◽  
C. Aragón ◽  
J. Campos
Keyword(s):  
Carbon Content ◽  
Matrix Effects ◽  
Sample Surface ◽  
Nitrogen Atmosphere ◽  
Laser Induced Breakdown Spectroscopy ◽  
Time Resolved ◽  
Breakdown Spectroscopy ◽  
Use Of Time ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy has been used to determine carbon content in steel. The plasma was formed by focusing a Nd:YAG laser on the sample surface. With the use of time-resolved spectroscopy and generation of the plasma in nitrogen atmosphere, a precision of 1.6% and a detection limit of 65 ppm have been obtained. These values are similar to those of other accurate conventional techniques. Matrix effects for the studied steels are reduced to a small slope difference between the calibration curves for stainless and nonstainless steels.

Time-resolved ultraviolet laser-induced breakdown spectroscopy for organic material analysis

2007 ◽  
Vol 62 (12) ◽  
pp. 1329-1334 ◽  
Author(s):  
Matthieu Baudelet ◽  
Myriam Boueri ◽  
Jin Yu ◽  
Samuel S. Mao ◽  
Vincent Piscitelli ◽  
...  
Keyword(s):  
Organic Material ◽  
Laser Induced Breakdown Spectroscopy ◽  
Time Resolved ◽  
Ultraviolet Laser ◽  
Breakdown Spectroscopy ◽  
Material Analysis ◽  
Laser Induced Breakdown

scholarly journals Effect of sample temperature on time-resolved laser-induced breakdown spectroscopy

AIP Advances ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 065214 ◽  
Author(s):  
Kaimin Guo ◽  
Anmin Chen ◽  
Wanpeng Xu ◽  
Dan Zhang ◽  
Mingxing Jin
Keyword(s):  
Sample Temperature ◽  
Laser Induced Breakdown Spectroscopy ◽  
Time Resolved ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Combining Laser-Induced Breakdown Spectroscopy (LIBS) and Visible Near-Infrared Spectroscopy (Vis-NIRS) for Soil Phosphorus Determination

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5419 ◽  
Author(s):  
Sara Sánchez-Esteva ◽  
Maria Knadel ◽  
Sergey Kucheryavskiy ◽  
Lis W. de Jonge ◽  
Gitte H. Rubæk ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Variable Selection ◽  
Near Infrared ◽  
Soil Phosphorus ◽  
Laser Induced Breakdown Spectroscopy ◽  
Soil P ◽  
Breakdown Spectroscopy ◽  
Extractable P ◽  
Laser Induced Breakdown ◽  
Wet Chemical

Conventional wet chemical methods for the determination of soil phosphorus (P) pools, relevant for environmental and agronomic purposes, are labor-intensive. Therefore, alternative techniques are needed, and a combination of the spectroscopic techniques—in this case, laser-induced breakdown spectroscopy (LIBS)—and visible near-infrared spectroscopy (vis-NIRS) could be relevant. We aimed at exploring LIBS, vis-NIRS and their combination for soil P estimation. We analyzed 147 Danish agricultural soils with LIBS and vis-NIRS. As reference measurements, we analyzed water-extractable P (Pwater), Olsen P (Polsen), oxalate-extractable P (Pox) and total P (TP) by conventional wet chemical protocols, as proxies for respectively leachable, plant-available, adsorbed inorganic P, and TP in soil. Partial least squares regression (PLSR) models combined with interval partial least squares (iPLS) and competitive adaptive reweighted sampling (CARS) variable selection methods were tested, and the relevant wavelengths for soil P determination were identified. LIBS exhibited better results compared to vis-NIRS for all P models, except for Pwater, for which results were comparable. Model performance for both the LIBS and vis-NIRS techniques as well as the combined LIBS-vis-NIR approach was significantly improved when variable selection was applied. CARS performed better than iPLS in almost all cases. Combined LIBS and vis-NIRS models with variable selection showed the best results for all four P pools, except for Pox where the results were comparable to using the LIBS model with CARS. Merging LIBS and vis-NIRS with variable selection showed potential for improving soil P determinations, but larger and independent validation datasets should be tested in future studies.

Evaluation of Femtosecond Laser-Induced Breakdown Spectroscopy for Analysis of Animal Tissues

2008 ◽  
Vol 62 (10) ◽  
pp. 1137-1143 ◽  
Author(s):  
Dário Santos ◽  
Ricardo Elgul Samad ◽  
Lílian Cristina Trevizan ◽  
Anderson Zanardi de Freitas ◽  
Nilson Dias Vieira ◽  
...  
Keyword(s):  
Femtosecond Laser ◽  
Certified Reference Materials ◽  
Laser System ◽  
Laser Induced Breakdown Spectroscopy ◽  
Animal Tissues ◽  
Time Resolved ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Intensified Charge Coupled Device

The aim of this work was to evaluate the performance of femtosecond laser-induced breakdown spectroscopy (fs-LIBS) for the determination of elements in animal tissues. Sample pellets were prepared from certified reference materials, such as liver, kidney, muscle, hepatopancreas, and oyster, after cryogenic grinding assisted homogenization. Individual samples were placed in a two-axis computer-controlled translation stage that moved in the plane orthogonal to a beam originating from a Ti:Sapphire chirped-pulse amplification (CPA) laser system operating at 800 nm and producing a train of 840 μJ and 40 fs pulses at 90 Hz. The plasma emission was coupled into the optical fiber of a high-resolution intensified charge-coupled device (ICCD)–echelle spectrometer. Time-resolved characteristics of the laser-produced plasmas showed that the best results were obtained with delay times between 80 and 120 ns. Data obtained indicate both that it is a matrix-independent sampling process and that fs-LIBS can be used for the determination of Ca, Cu, Fe, K, Mg, Na, and P, but efforts must be made to obtain more appropriate detection limits for Al, Sr, and Zn.

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