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08:53
Dependence of Laser-induced Breakdown Spectroscopy Results on Pulse Energies and Timing Parameters Using Soil Simulants
Published on: September 23, 2013
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Combining Laser-Induced Breakdown Spectroscopy (LIBS) and Visible Near-Infrared Spectroscopy (Vis-NIRS) for Soil
Sara Sánchez-Esteva1, Maria Knadel1, Sergey Kucheryavskiy2
1Department of Agroecology, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark.
Sensors (Basel, Switzerland)
|September 24, 2020
Summary
Combining laser-induced breakdown spectroscopy (LIBS) and visible near-infrared spectroscopy (vis-NIRS) offers a promising, efficient alternative for determining soil phosphorus (P) pools, improving upon traditional methods.
Area of Science:
- Soil Science
- Analytical Chemistry
- Spectroscopy
Background:
- Conventional wet chemical methods for soil phosphorus (P) determination are time-consuming and labor-intensive.
- Accurate soil P analysis is crucial for environmental management and agricultural productivity.
- Spectroscopic techniques offer potential for faster, more efficient soil P assessment.
Purpose of the Study:
- To evaluate laser-induced breakdown spectroscopy (LIBS) and visible near-infrared spectroscopy (vis-NIRS) for estimating soil P pools.
- To investigate the combined potential of LIBS and vis-NIRS for soil P determination.
- To compare the performance of variable selection methods (iPLS, CARS) in optimizing spectroscopic models.
Main Methods:
- Analysis of 147 Danish agricultural soils using LIBS and vis-NIRS.
- Reference measurements of water-extractable P (Pwater), Olsen P (Polsen), oxalate-extractable P (Pox), and total P (TP) via wet chemistry.
- Development of Partial Least Squares Regression (PLSR) models, incorporating Interval Partial Least Squares (iPLS) and Competitive Adaptive Reweighted Sampling (CARS) for variable selection.
Main Results:
- LIBS generally outperformed vis-NIRS for most P pools, with comparable results for Pwater.
- Variable selection significantly improved model performance for both LIBS and vis-NIRS, with CARS showing superior results over iPLS.
- Combined LIBS-vis-NIRS models, especially with CARS variable selection, achieved the best overall performance for Pwater, Polsen, and TP estimation.
Conclusions:
- The combination of LIBS and vis-NIRS, coupled with advanced variable selection techniques like CARS, shows significant potential for improving the efficiency and accuracy of soil P determination.
- These spectroscopic approaches offer a viable alternative to conventional wet chemical methods for routine soil P analysis in environmental and agronomic contexts.
- Further validation with larger, independent datasets is recommended to confirm the robustness of the developed models.
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