scholarly journals Comprehensive study of solid pharmaceutical tablets in visible, near infrared (NIR), and longwave infrared (LWIR) spectral regions using a rapid simultaneous ultraviolet/visible/NIR (UVN) + LWIR laser-induced breakdown spectroscopy linear arrays detection system and a fast acousto-optic tunable filter NIR spectrometer

2017 ◽  
Vol 25 (22) ◽  
pp. 26885 ◽  
Author(s):  
Clayton S.C Yang ◽  
Feng Jin ◽  
Siva R. Swaminathan ◽  
Sita Patel ◽  
Evan D. Ramer ◽  
...  
Keyword(s):  
Near Infrared ◽  
Detection System ◽  
Tunable Filter ◽  
Laser Induced Breakdown Spectroscopy ◽  
Linear Arrays ◽  
Pharmaceutical Tablets ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Comprehensive Study

Absolute Calibration of Laser-induced Breakdown Spectroscopy Detection System by Using a Tungsten Halogen Lamp

2018 ◽  
Vol 47 (8) ◽  
pp. 847003
Author(s):  
费腾 FEI Teng ◽  
潘从元 PAN Cong-yuan ◽  
曾强 ZENG Qiang ◽  
杜学维 DU Xue-wei ◽  
王秋平 WANG Qiu-ping
Keyword(s):  
Detection System ◽  
Laser Induced Breakdown Spectroscopy ◽  
Absolute Calibration ◽  
Halogen Lamp ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Tungsten Halogen Lamp

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.

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