Literature DB >> 22410917

Spark-induced breakdown spectroscopy and multivariate analysis applied to the measurement of total carbon in soil.

Morgan S Schmidt1, Kellen J Sorauf, Keith E Miller, David Sonnenfroh, Richard Wainner, Amy J R Bauer.   

Abstract

Identifying and implementing techniques for carbon management has become an important endeavor in the mitigation of global climate change. Two important techniques being pursued are geologic and terrestrial carbon sequestration. With regard to terrestrial sequestration, in order to accurately monitor changes in soil carbon potentially induced by sequestration practices, rapid, cost-effective, and accurate measurements must be developed. Spark-induced breakdown spectroscopy (SIBS) has the potential to be used as a field-deployable method to monitor changes in the concentration of carbon in soil. SIBS spectra in the 248 nm region of eight soils were collected, and the neutral carbon line at 247.85 nm was compared to total carbon concentration determined by standard dry combustion techniques. Additionally, Fe and Si emission lines were evaluated in a multivariate statistical model to evaluate their impacts on the model's predictive power for total carbon concentrations. The preliminary results indicate that SIBS is a viable method to quantify total carbon levels in soils, obtaining a correlation of (R(2)=0.972) between measured and predicated carbon in soils. These results show that multivariate analysis can be used to construct a calibration model for SIBS soil spectra.
© 2012 Optical Society of America

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Year:  2012        PMID: 22410917     DOI: 10.1364/AO.51.00B176

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  2 in total

1.  Optimizing critical parameters for the directly measurement of particle flow with PF-SIBS.

Authors:  Shunchun Yao; Jialong Xu; Lifeng Zhang; Jingbo Zhao; Zhimin Lu
Journal:  Sci Rep       Date:  2018-01-30       Impact factor: 4.379

2.  Machine Learning Allows Calibration Models to Predict Trace Element Concentration in Soils with Generalized LIBS Spectra.

Authors:  Chen Sun; Ye Tian; Liang Gao; Yishuai Niu; Tianlong Zhang; Hua Li; Yuqing Zhang; Zengqi Yue; Nicole Delepine-Gilon; Jin Yu
Journal:  Sci Rep       Date:  2019-08-06       Impact factor: 4.379

  2 in total

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