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Sample treatment and preparation for laser-induced breakdown spectroscopy

One of the most widely cited advantages of laser-induced breakdown spectroscopy (LIBS) is that it does not require sample preparation, but this may also be the biggest factor holding it back from becoming a mature analytical technique like LA-ICP-MS, ICP-OES, or XRF. While there are certain specimen...

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Bibliographic Details
Published in:Spectrochimica acta. Part B: Atomic spectroscopy 2016-01, Vol.115, p.52-63
Main Authors: Jantzi, Sarah C., Motto-Ros, Vincent, Trichard, Florian, Markushin, Yuri, Melikechi, Noureddine, De Giacomo, Alessandro
Format: Article
Language:English
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Summary:One of the most widely cited advantages of laser-induced breakdown spectroscopy (LIBS) is that it does not require sample preparation, but this may also be the biggest factor holding it back from becoming a mature analytical technique like LA-ICP-MS, ICP-OES, or XRF. While there are certain specimen types that have enjoyed excellent LIBS results without any sample treatment (mostly homogeneous solids such as metals, glass, and polymers), the possible applications of LIBS have been greatly expanded through the use of sample preparation techniques that have resulted in analytical performance (i.e., limits of detection, accuracy, and repeatability) on par with XRF, ICP-OES, and often ICP-MS. This review highlights the work of many LIBS researchers who have developed, adapted, and improved upon sample preparation techniques for various specimen types in order to improve the quality of the analytical data that LIBS can produce in a large number of research domains. Strategies, not only for solids, but also liquids, gases, and aerosols are discussed, including newly developed nanoparticle enhancement and biological imaging and tagging techniques. •Sample preparation techniques for LIBS on solids, liquids and gases•Sample preparation for LIBS in biological applications•Sample preparation for enhancing LIBS performances
ISSN:0584-8547
1873-3565
DOI:10.1016/j.sab.2015.11.002