Evaluation of potsherds features using hyperspectral maps generated by μ-LIBS scanner

Main Article Content

Stefano Pagnotta
https://orcid.org/0000-0002-6645-4924
Marco Lezzerini
https://orcid.org/0000-0001-9204-4462
Asia Botto
Beatrice Campanella
https://orcid.org/0000-0002-6389-4035
Stefano Legnaioli
Giulia Lorenzetti
Vincenzo Palleschi
https://orcid.org/0000-0002-6377-7656
Poggialini Francesco
https://orcid.org/0000-0003-0620-842X

Abstract

The micro-laser induced breakdown spectroscopy (µ-LIBS) technique allows performing fast elemental analyses, without sample preparation and thus making it specifically useful in the analysis of the composition of ancient potsherd. The µ-LIBS instrument is equipped with a microscope and a scanning system allowing to realize small craters (about Ø = 25 µm) in order to obtain detailed hyperspectral surfaces maps (up to a maximum size of one square centimeter). The data are processed by Self-Organizing Maps (SOMs) method to visualize in 2D representations allowing significant information on the technological features of ceramic samples.

Keywords: Archaeometry, Micro-laser-induced breakdown spectroscopy, Self-organizing maps, Pottery analysis

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References

Bertolini, A., Carelli, G., Francesconi, F., Francesconi, M., Marchesini, L., Marsili, P., … Salvetti, A. (2006). Modì: A new mobile instrument for in situ double-pulse LIBS analysis. In Analytical and Bioanalytical Chemistry (Vol. 385, pp. 240–247). https://doi.org/10.1007/s00216-006-0413-6

Dale, L. M., Thewis, A., Boudry, C., Rotar, I., Dardenne, P., Baeten, V., & Pierna, J. A. F. (2013). Hyperspectral imaging applications in agriculture and agro-food product quality and safety control: a review. Applied Spectroscopy Reviews, 48(2), 142–159. https://doi.org/10.1080/05704928.2012.705800

El Masry, G., Kamruzzaman, M., Sun, D.-W., & Allen, P. (2012). Principles and applications of hyperspectral imaging in quality evaluation of agro-food products: a review. Critical Reviews in Food Science and Nutrition, 52(11), 999–1023. https://doi.org/10.1080/10408398.2010.543495

Grahn, H., & Geladi, P. (2007). Techniques and applications of hyperspectral image analysis. John Wiley & Sons.

Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE, 78(9), 1464–1480.

Kohonen, T. (1998). The self-organizing map. Neurocomputing, 21(1), 1–6.

Lorente, D., Aleixos, N., Gómez-Sanchis, J., Cubero, S., García-Navarrete, O. L., & Blasco, J. (2012). Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment. Food and Bioprocess Technology, 5(4), 1121–1142. https://doi.org/10.1007/s11947-011-0725-1

Manolakis, D., & Shaw, G. (2002). Detection algorithms for hyperspectral imaging applications. IEEE Signal Processing Magazine, 19(1), 29–43. https://doi.org/10.1109/79.974724

Moncayo, S., Duponchel, L., Panczer, G., Trichard, F., Bousquet, B., Pelascini, F., & Motto-Ros, V. (2018). Exploration of megapixel hyperspectral LIBS images using Principal Component Analysis. Journal of Analytical Atomic Spectrometry. https://doi.org/10.1039/c7ja00398f

Pagnotta, S., Legnaioli, S., Campanella, B., Grifoni, E., Lezzerini, M., Lorenzetti, G., … Raneri, S. (2018). Micro-chemical evaluation of ancient potsherds by μ-LIBS scanning on thin section negatives. Mediterranean Archaeology and Archaeometry, 18(5), 171–178. https://doi.org/10.5281/zenodo.1285906

Pagnotta, S., Lezzerini, M., Campanella, B., Gallello, G., Grifoni, E., Legnaioli, S., … Palleschi, V. (2018). Fast quantitative elemental mapping of highly inhomogeneous materials by micro-Laser-Induced Breakdown Spectroscopy. Spectrochimica Acta - Part B Atomic Spectroscopy, 146. https://doi.org/10.1016/j.sab.2018.04.018

Pagnotta, S., Lezzerini, M., Ripoll-Seguer, L., Hidalgo, M., Grifoni, E., Legnaioli, S., … Palleschi,V. (2017). Micro-Laser-Induced Breakdown Spectroscopy (Micro-LIBS) Study on Ancient Roman Mortars. Applied Spectroscopy, 71(4), 721–727. https://doi.org/10.1177/0003702817695289

Panasyuk, S. V, Freeman, J., & Panasyuk, A. (2018, May 3). Medical hyperspectral imaging for evaluation of tissue and tumor. Google Patents.

Schiavo, C., Menichetti, L., Grifoni, E., Legnaioli, S., Lorenzetti, G., Poggialini, F., … Palleschi, V. (2016). High-resolution three-dimensional compositional imaging by double-pulse laser-induced breakdown spectroscopy. Journal of Instrumentation, 11(08), C08002. https://doi.org/10.1088/1748-0221/11/08/c08002