Determination of soil source using laser induced breakdown spectroscopy combined with feature selection

文献信息

发布日期 2023-10-03

DOI 10.1039/D3JA00133D

影响因子 4.023

作者

摘要

Determining the soil source is crucial for agricultural planning, forensic case analysis, and archaeological site research. This study used laser induced breakdown spectroscopy (LIBS) technology combined with convolutional neural network (CNN) algorithm to determine the soil source. The experiment collected ten soil samples from different regions and extracted soil spectrum data using LIBS technology. In this study, CNN and random forest (RF) algorithms are used to analyze the data. To improve the accuracy of the model, the mean decrease accuracy (MDA) and mean decrease impurity (MDI) feature selection methods of RF are used to filter the data. Four models were constructed using CNN and RF: MDA-CNN, MDA-RF, MDI-CNN, and MDI-RF, and applied to predict soil sources. The experimental results revealed that the MDA-CNN model performs the best with the accuracy of 94.61%, precision rate of 0.9512, recall rate of 0.9461, and F1 score of 0.9487. The experimental results indicate that this analysis method can effectively determine the soil source, which holds significant implications for the development of soil source determination technology.

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来源期刊

Journal of Analytical Atomic Spectrometry

CiteScore: 6.2

自引率: 25.8%

年发文量: 254

The Journal of Analytical Atomic Spectrometry (JAAS) is the central journal for publishing innovative research on fundamentals, instrumentation, and methods in the determination, speciation and isotopic analysis of (trace) elements within all fields of application. This includes, but is not restricted to, the most recent progress, developments and achievements in all forms of atomic and elemental detection, isotope ratio determination, molecular analysis, plasma-based analysis and X-ray techniques. The journal welcomes full papers, communications, technical notes, critical and tutorial review articles, editorials, and comments, in addition to the Atomic Spectrometry Updates (ASU) literature reviews that are prepared by an expert panel. Submissions are welcome in the following areas, but note this list reflects the current scope and authors are strongly encouraged to contact the Editorial team if they believe that their work offers potentially new and emerging research relevant to the journal remit: Fundamental studies in the following. New and existing sources for atomic emission, absorption, fluorescence and mass spectrometry and those that provide both atomic and molecular information Sample introduction techniques for solids, liquids, gases Improvements in sensitivity, selectivity, precision, accuracy and/or robustness Isotope ratio measurements, including techniques for improving precision and mass bias correction Single channel and multichannel simultaneous detection systems Chemometrics, statistics, calibration techniques and internal standardisation Theoretical and numerical modelling of fundamental processes related to all of the above methodologies Novel or improved methodologies in areas of application including, but not limited to the following. Biosciences, including elemental, speciation and isotopic analysis in biological systems, immunoassays based on metal-labeled antibodies, bio-imaging, and nanoparticle toxicology Geochemistry Environmental science Materials science, including engineered nanoparticles and quantum dots Metrology, including reference materials Forensic analysis Food and agricultural sciences Energy Archaeometry Molecular analysis. Molecular sources for elemental and isotopic analysis Atomic sources for molecular analysis Atomic and molecular techniques simultaneously used for complementary chemical information All contributions are judged on originality and quality of scientific content, and appropriateness of length to content of new science.