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Physical and Chemical Matrix Effects in Soil Carbon Quantification Using Laser-Induced Breakdown Spectroscopy

American Journal of Analytical Chemistry 2014年第11期5卷 722-729页

作者： Aline Segnini Alfredo Augusto Pereira Xavier Pedro Luís Otaviani-Junior Edilene Cristina Ferreira Alex Marcel Watanabe marco aurélio speranca Gustavo Nicolodelli Paulino Ribeiro Villas-Boas Patrícia Perondi Anchao Oliveira Débora marcondes Bastos Pereira Milori Brazilian Agricultural Research Corporation(Embrapa)Instrumentation Sao CarlosBrazil Institute of Chemistry of Sao Carlos University of Sao Paulo(IQSC-USP)Sao CarlosBrazil Analytical Chemistry Department Sao Paulo State University(UNESP)AraraquaraBrazil Southeast Cattle Center EmbrapaSao CarlosBrazil

Advanced field methods of carbon (C) analysis should now be capable of providing repetitive, sequential measurements for the evaluation of spatial and temporal variation at a scale that was previously unfeasible. Some spectroscopy techniques, such as laser-induced breakdown spectroscopy (LIBS), have portable features that may potentially lead to clean and rapid alternative approaches for this purpose. The goal of this study was to quantify the C content of soils with different textures and with high iron and aluminum concentrations using LIBS. LIBS emission spectra from soil pellets were captured, and the C content was estimated (emission line of C (I) at 193.03 nm) after spectral offset and aluminum spectral interference correction. This technique is highly portable and could be ideal for providing the soil C content in a heterogeneous experiment. Dry combustion was used as a reference method, and for calibration a conventional linear model was evaluated based on soil textural classes. The correlation between reference and LIBS values showed r = 0.86 for medium-textured soils and r = 0.93 for fine-textured soils. The data showed that better correlation and lower error (14%) values were found for the fine-textured LIBS model. The limit of detection (LOD) was found to be 0.32% for medium-textured soils and 0.13% for fine-textured soils. The results indicated that LIBS quantification can be affected by the texture and chemical composition of soil. Signal treatment was shown to be very important for mitigation of these interferences and to improve quantification.

关键词： Soil C Content Spectral Correction Soil Textural Classes Field-Based Method Atomic Emission

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