Cation Exchange Detection in the Process of Ionic Soil Stabilizer Reinforcing Soil by Laser-Induced Breakdown Spectroscopy &lt;sup&gt;&lt;/sup&gt;

Liu, Lu Wen; Zeng, Wei; Zhang, Jun Long; Liu, Lin Me; Lin, Zhe

doi:10.4028/www.scientific.net/amr.510.799

Cited by 2 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The experimental system used in this study for LIBS analysis has been previously described in our work. [41][42][43] It includes a neodymium-doped yttrium aluminum garnet (Nd:YAG) laser and a medium-order grating spectrometer with an intensified charge-coupled device (ICCD) camera. When the highenergy pulsed laser emitted from the Nd:YAG (Pro-290 from Spectra-Physics) was focused on the sample's surface, the LIBS was collected through a light-receiving system (ME-OPT-007 receiver from Andor), a spectrometer (ME 5000 from Andor), and an ICCD camera (DH734-18U-03 from iStar/Andor) in sequence, and transformed into spectral signals.…”

Section: Experimental Systemsmentioning

confidence: 99%

Quantitative Detection of the Raw Ore Turquoise Based on Laser-Induced Breakdown Spectroscopy Technology

Wu¹,

Wang²,

Xiong³

et al. 2023

Appl Spectrosc

View full text Add to dashboard Cite

Turquoise is one of the key ingredients in some magical Tibetan medicines, and its quality and content directly affect the medicine's effectiveness. In this paper, laser-induced breakdown spectroscopy (LIBS) technology was first applied to detect the raw materials of Tibetan medicine. The traditional data analysis methods could not meet the practical requirements of modern Tibetan medicine factories due to matrix effects. The concept of correlation coefficient (ρ) in pattern recognition technique was introduced as an evaluation index, and the model was established based on the intensities of the four characteristic Al and Cu spectral lines of the samples for different contents of turquoise, which was applied to estimate the contents of turquoise in the samples to be tested. We detected the LIBS on 126 samples of raw ore from 42 areas in China and evaluated the turquoise content using self-developed software with an error of <10%. This paper's technical testing process and methods can also be applied to test other mineral compositions and provide technical support for modernizing and standardizing Tibetan medicines.

show abstract

Section: Experimental Systemsmentioning

confidence: 99%

Quantitative Detection of the Raw Ore Turquoise Based on Laser-Induced Breakdown Spectroscopy Technology

Wu¹,

Wang²,

Xiong³

et al. 2023

Appl Spectrosc

View full text Add to dashboard Cite

show abstract

“…Furthermore, the simple structure of LIBS systems allows for design of portable devices for field use (Knadel et al, 2017;Yamamoto, Cremers, Ferris, & Foster, 1996). Previous studies have reported the application of LIBS for quantitative analysis of soil properties, including soil texture (Villas-Boas et al, 2016), pH (Ferreira, Neto, Milori, Ferreira, & Anzano, 2015), CEC (Liu, Zeng, Zhang, Liu, & Lin, 2012), C (Cremers et al, 2001;Martin et al, 2010;Nguyen, Moon, & Choi, 2015), and N, P, and K (Dong, Zhao, Zheng, Zhao, & Jiao, 2013;Lu et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Optimization of measuring procedure of farmland soils using laser‐induced breakdown spectroscopy

et al. 2020

Soil Science Soc of Amer J

View full text Add to dashboard Cite

Laser‐induced breakdown spectroscopy (LIBS) is an emerging multi‐elemental analytical technique offering fast and simultaneous quantification of soil properties with minimal sample preparation and effective cost. Due to soil heterogeneity, spectral variation however limits the quantitative robustness. In this study, 348 soil samples were collected and prepared for acquisition of LIBS spectra. Influences of shot layer and number on LIBS quality were evaluated by spectral intensity and relative standard deviation (RSD). Effects of shot layer and number and five normalization procedures on LIBS ability to measure soil organic matter (SOM), total nitrogen (TN), and total soluble salt content (TSC), were evaluated using partial least squares regression (PLSR). Increasing shot number reduced LIBS spectral variance, thereby improving the quantitative accuracy of selected soil properties. Deep shot layers (4th or 5th shot layers) reduced the intensities of soil spectra and thereby decreased the quantitative accuracy for TSC. However, deep shot layers improved the SOM and TN prediction performances. Among the normalization approaches, the method based on the correction of Si line (DS) showed superior performance for improving quantitation of SOM and TN. The arithmetic average method (AA) was best for TSC prediction. Optimization of shot layer, number and normalization procedures of LIBS spectra resulted in fair prediction of SOM (residual prediction deviation of validation set, RPDV = 1.608), good prediction of TN (RPDV = 1.836), and very good quantitative analysis of TSC (RPDV = 2.456). Therefore, our findings illustrate very good potential for improving the quantitative accuracy of the LIBS soil spectra.

show abstract

Cation Exchange Detection in the Process of Ionic Soil Stabilizer Reinforcing Soil by Laser-Induced Breakdown Spectroscopy <sup></sup>

Cited by 2 publications

References 5 publications

Quantitative Detection of the Raw Ore Turquoise Based on Laser-Induced Breakdown Spectroscopy Technology

Quantitative Detection of the Raw Ore Turquoise Based on Laser-Induced Breakdown Spectroscopy Technology

Optimization of measuring procedure of farmland soils using laser‐induced breakdown spectroscopy

Contact Info

Product

Resources

About