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Issues and advances of calibration transfer in LIBS

Abstract : As a fast, direct and remote technique, laser-induced breakdown spectroscopy is particularly relevant for online or in situ analysis, or to measure samples with limited access, like in the nuclear sector or in planetary exploration. In these cases, quantitative analysis can be difficult for different reasons. First, environmental conditions are not completely controlled and instrumental drifts may occur. Secondly, matrix-matched calibration samples are not always available. Thirdly, the samples matrix is known to a certain extent, with a possible high variability that can induce unexpected spectral interferences. In addition, due to practical or cost constraints, feasibility studies are frequently performed on matrices and/or analytes and/or experimental conditions other than that of interest, and the question of analytical performances that would be obtained in the real situation is raised.Calibration transfer could be helpful to cope with those issues. In the field of NIR spectroscopy, where it is widely studied, this concept generally relates to the use of a multivariate calibration model obtained with an instrument to predict samples measured with another instrument. In LIBS, this definition is somewhat restrictive and can be broadened in different ways. Thus, we could consider transferring a calibration from one matrix to another, which is equivalent to compensating for matrix effects. But it can also be related to the calibration transfer for a given matrix from one element to another, or for a given element, from one line to another. Furthermore, a change in experimental conditions can also be dealt with by calibration transfer approaches.In this talk we will review the interest of calibration transfer in LIBS as well as the existing works on the subject. Recent results obtained in our laboratory will be presented to illustrate the different definitions of calibration transfer given above. Issues and perspectives of such approaches will be discussed.
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J.-B. Sirven, J. Picard, C. Maury, M. El Rakwe. Issues and advances of calibration transfer in LIBS. SciX 2015, Sep 2015, Providence, United States. ⟨cea-02491618⟩

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