Literature DB >> 22410913

Application of laser-induced breakdown spectroscopy for total carbon quantification in soil samples.

Krishna K Ayyalasomayajula1, Fang Yu-Yueh, Jagdish P Singh, Dustin L McIntyre, Jinesh Jain.   

Abstract

The increase of greenhouse gas (i.e., CO(2)) levels in the atmosphere has caused noticeable climate change. Many nations are currently looking into methods of permanent underground storage for CO(2) in an attempt to mitigate this problem. The goal of this work is to develop a process for studying the total carbon content in soils before, during, and after CO(2) injection to ensure that no leakage is occurring or to determine how much is leaking if it is occurring and what effect it will have on the ecosystem between the injection formation and the atmosphere. In this study, we quantitatively determine the total carbon concentration in soil using laser-induced breakdown spectroscopy (LIBS). A soil sample from Starkville, Mississippi, USA was mixed with different amounts of carbon powder, which was used as a calibration for additional carbon in soil. Test samples were prepared by adding different but known amounts of carbon powder to a soil sample and then mixing with polyvinyl alcohol binder before being pressed into pellets. LIBS spectra of the test samples were collected and analyzed to obtain optimized conditions for the measurement of total carbon in soil with LIBS. The total carbon content in the samples was also measured by a carbon analyzer, and the data (average of triplicates) were used as a reference in developing calibration curves for a modified version of the single linear regression model and the multiple linear regression model. The calibration data were then used to determine the total carbon concentration of an unknown sample. This work is intended to be used in the initial development of a miniaturized, field-portable LIBS analyzer for CO(2) leak detection.
© 2012 Optical Society of America

Entities:  

Year:  2012        PMID: 22410913     DOI: 10.1364/AO.51.00B149

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


  4 in total

1.  Improving the application of laser-induced breakdown spectroscopy for the determination of total carbon in soils.

Authors:  Hang Vo-Minh Nguyen; Seung-Jae Moon; Jung Hyun Choi
Journal:  Environ Monit Assess       Date:  2015-01-30       Impact factor: 2.513

Review 2.  Laser-induced breakdown spectroscopy application in environmental monitoring of water quality: a review.

Authors:  Xiaodong Yu; Yang Li; Xiaofeng Gu; Jiming Bao; Huizhong Yang; Li Sun
Journal:  Environ Monit Assess       Date:  2014-09-26       Impact factor: 2.513

3.  Quantitative Analysis of Gas Phase IR Spectra Based on Extreme Learning Machine Regression Model.

Authors:  Tinghui Ouyang; Chongwu Wang; Zhangjun Yu; Robert Stach; Boris Mizaikoff; Bo Liedberg; Guang-Bin Huang; Qi-Jie Wang
Journal:  Sensors (Basel)       Date:  2019-12-14       Impact factor: 3.576

4.  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

  4 in total

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