Classification of Ceramic Tableware by Laser Induced Breakdown Spectroscopy and Chemometrics

References

• Albuquerque, F. R., M. G. Santos, S. J. G. Lima, M. R. Cássia-Santos, L. E. B. Soledade, A. G. Souza, and A. E. Martinelli. 2007. Planejamento experimental aplicado à otimização de massas cerâmicas contendo matérias-primas naturais. Cerâmica 53 (327):300–8. doi:10.1590/S0366-69132007000300014.
   Google Scholar
• Askeland, D. R., P. P. Fulay, and W. J. Wright. 2010. The science and engineering of materials, 6a ed.. Boston: Cengage Learning.
   Google Scholar
• Baracho, P. R., F. E. Claudino, C. S. Silva, G. P. Casali, V. L. Silva, E. Longo, and I. T. Weber. 2012. Análise do teor de chumbo em louças utilitárias comercializadas no Brasil. Cerâmica Industrial 17 (4):39–42. doi:10.4322/cerind.2014.023.
   Google Scholar
• Barros Neto, B., I. S. Scarminio, and R. E. Bruns. 2006. 25 anos de quimiometria no Brasil. Química Nova 29 (6):1401–6. doi:10.1590/S0100-40422006000600042.
   Google Scholar
• Botelho, B. G., N. Reis, L. S. Oliveira, and M. M. Sena. 2015. Development and analytical validation of a screening method for simultaneous detection of five adulterants in raw milk using mid-infrared spectroscopy and PLS-DA. Food Chemistry 181 (1):31–7. doi:10.1016/j.foodchem.2015.02.077.
   PubMedGoogle Scholar
• Bruns, R. E., and J. F. G. Faigle. 1985. Quimiometria. Química Nova 8 (2):84–99.
   Google Scholar
• Camona, N., M. Oujja, S. Gaspard, M. García-Heras, M. A. Villegas, and M. Castillejo. 2007. Lead determination in glasses by laser-induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy 62 (2):94–100. doi:10.1016/j.sab.2007.01.003.
   Web of Science ®Google Scholar
• Cavalcante, P. M. T., M. Dondi, G. Guarini, F. M. Barros, A. B. Luz, and J. A. Sampaio. 2006. Aplicação de pigmentos perolizados a base de mica e dióxido de titânio na cerâmica. Cerâmica Industrial 11 (2):37–41.
   Google Scholar
• Chenoweth, J. M., and A. Farahani. 2015. Color in historical ceramic typologies: A test case in statistical analysis of replicable measurements. Journal of Archaeological Science: Reports 4 (1):310–9. doi:10.1016/j.jasrep.2015.09.015.
   Google Scholar
• Chowdari, B.V.R., G. V. Subba Rao, and G. Y. H. Lee. 2000. XPS and ionic conductivity studies on Li2O–Al2O3–(TiO2 or GeO2)–P2O5 glass–ceramics. Solid State Ionics 136-137 (1-2):1067–75. doi:10.1016/S0167-2738(00)00500-2.
   Google Scholar
• Colao, F., R. Fantoni, V. Lazic, and V. Spizzichino. 2002. Laser-induced breakdown spectroscopy for semi-quantitative and quantitative analyses of artworks – application on multi-layered ceramics and copper based alloys. Spectrochimica Acta Part B: Atomic Spectroscopy 57 (7):1219–34. doi:10.1016/S0584-8547(02)00054-X.
   Web of Science ®Google Scholar
• Cortez, J., and C. Pasquini. 2013. Ring-oven based preconcentration technique for microanalysis: Simultaneous determination of Na, Fe, and Cu in fuel ethanol by laser induced breakdown spectroscopy. Analytical Chemistry 85 (3):1547–54. doi:10.1021/ac302755h.
   PubMed Web of Science ®Google Scholar
• De Maesschalck, R., D. Jouan-Rimbaud, and D. L. Massart. 2000. The mahalanobis distance. Chemometrics and Intelligent Laboratory Systems 50 (1):1–18. doi:10.1016/S0169-7439(99)00047-7.
   Web of Science ®Google Scholar
• Dixon, S. J., and R. G. Brereton. 2009. Comparison of performance of five common classifiers represented as boundary methods: Euclidean distance to centroids, linear discriminant analysis, quadratic discriminant analysis, learning vector quantization and support vector machines, as dependent on data structure. Chemometrics and Intelligent Laboratory Systems 95 (1):1–17. doi:10.1016/j.chemolab.2008.07.010.
   Web of Science ®Google Scholar
• Dondi, M. 1999. Clay materials for ceramic tiles from the Sassuolo District (Northern Apennines, Italy). Geology, composition and technological properties. Applied Clay Science 15 (3-4):337–66. doi:10.1016/S0169-1317(99)00027-7.
   Web of Science ®Google Scholar
• Du, J., B. Jones, and M. Lanagan. 2005. Preparation and characterization of dielectric glass-ceramics in Na2O–PbO–Nb2O5–SiO2 system. Materials Letters 59 (22):2821–6. doi:10.1016/j.matlet.2005.02.090.
   Web of Science ®Google Scholar
• Duda, R. O., P. E. Hart, and D. G. Stork. 2001. Pattern Classification, 2a ed. New York: John Wiley.
   Google Scholar
• Dutra, R. P. S., P. A. S. Araújo, R. M. P. R. Macedo, R. M. Nascimento, U. U. Gomes, A. E. Martinelli, and C. A. Paskocimas. 2006. Desenvolvimento de formulações de massas para a indústria de cerâmica vermelha do Rio Grande do Norte. Cerâmica Industrial 11 (3):41–6.
   Google Scholar
• European Community Directive 657. 2002. Comission Decision of 12 August 2002 implementing Council Directive 96/23/EC concerning the performance of analytical methods and the interpretation of results. Official Journal, Brussels, L 221:8–36.
   Google Scholar
• Feltrin, J., M. N. Sartor, A. Noni, Jr., A. M. Bernardin, D. Hotza, and J. A. Labrincha. 2013. Superfícies fotocatalíticas de titânia em substratos cerâmicos. Parte I: Síntese, estrutura e fotoatividade. Cerâmica 59 (352):620–32. doi:10.1590/S0366-69132013000400020.
   Google Scholar
• Ferreira, M. M. C., A. C. Antunes, M. S. Melgo, and P. L. O. Volpe. 1999. Quimiometria I: Calibração multivariada um tutorial. Química Nova 22 (5):724–31. doi:10.1590/S0100-40421999000500016.
   Web of Science ®Google Scholar
• Gazulla, M. F., M. P. Gomez, A. Barba, and M. Orduña. 2004. Chemical characterisation of geological raw materials used in traditional ceramics. Geostandards and Geoanalytical Research 28 (2):203–12. doi:10.1111/j.1751-908X.2004.tb00737.x.
   Web of Science ®Google Scholar
• Gomes, C. M., J. P. Reis, J. F. Luiz, A. P. N. Oliveira, and D. Hotza. 2005. Defloculação de massas cerâmicas triaxiais obtidas a partir do delineamento de misturas. Cerâmica 51 (320):336–42. doi:10.1590/S0366-69132005000400006.
   Google Scholar
• Günther, D., and B. Hattendorf. 2005. Solid sample analysis using laser ablation inductively coupled plasma mass spectrometry. TRAC Trends in Analytical Chemistry 24 (3):255–65. doi:10.1016/j.trac.2004.11.017.
   Web of Science ®Google Scholar
• Huang, Y., and Y. Guan. 2015. On the linear discriminant analysis for large number of classes. Engineering Applications of Artificial Intelligence 43 (1):15–26. doi:10.1016/j.engappai.2015.03.006.
   Google Scholar
• Kanda, Y., C. Temma, K. Nakata, T. Kobayashi, M. Sugioka, and Y. Uemichi. 2010. Preparation and performance of noble metal phosphides supported on silica as new hydrodesulfurization catalysts. Applied Catalysis A: General 386 (1-2):171–8. doi:10.1016/j.apcata.2010.07.045.
   Web of Science ®Google Scholar
• Kayal, N., and N. Singh. 2007. Stepwise complexometric determination of aluminium, titanium and iron concentrations in silica sand and allied materials. Chemistry Central Journal 24 (1):1–5. doi:10.1186/1752-153X-1-24.
   Google Scholar
• Kazuya, M., M. Murakami, and N. Maruyama. 2003. Quantitative analysis of ceramics by laser-induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy 58 (5):957–65. doi:10.1016/S0584-8547(03)00011-9.
   Web of Science ®Google Scholar
• Kennard, R. W., and L. A. Stone. 1969. Computer aided design of experiments. Technometrics 11 (1):137–48. doi:10.1080/00401706.1969.10490666.
   Web of Science ®Google Scholar
• Kolar, D. 2000. Chemical research needed to improve high-temperature processing of advanced ceramic materials. Pure and Applied Chemistry 72 (8):1425–48. doi:10.1351/pac200072081425.
   Web of Science ®Google Scholar
• Lavine, B. K. 1998. Chemometrics. Analytical Chemistry 70 (12):209–28. doi:10.1021/a19800085.
   Web of Science ®Google Scholar
• Legnaioli, S., F. A. Garcia, A. Andreotti, E. Bramanti, D. D. Pace, S. Formola, G. Lorenzetti, M. Martini, L. Pardini, E. Ribechini, et al. 2013. Multi-technique study of a ceramic archaeological artifact and its content. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 100 (1):144–8. doi:10.1016/j.saa.2012.04.009.
   PubMedGoogle Scholar
• Link, M., S. R. Bragança, and C. P. Bergmann. 2013. Influência da razão SiO2/Na2O do silicato de sódio na defloculação de suspensões aquosas empregadas na conformação por colagem de barbotinas. Cerâmica Industrial 18 (1):25–8. doi:10.4322/cerind.2014.033.
   Google Scholar
• López, A. J., G. Nicolás, M. P. Mateo, V. Piñón, A. Ramil, and A. Yáñez. 2005. Análisis de cerâmicas romanas Terra Sigillata mediante espectroscopia de plasmas inducidos por laser (LIPS). Boletín de la Sociedad Española de Cerámica y Vidrio 44 (6):373–8. doi:10.3989/cyv.2005.v44.i6.331.
   Google Scholar
• Manfredini, T., and M. Hanuskova. 2012. Natural raw materials in “traditional” ceramic manufacturing. Journal of the University of Chemical Technology and Metallurgy 47 (4):465–70.
   Google Scholar
• Marino, L. F. B., and A. O. Boschi. 2000. A Expansão Térmica dos Revestimentos Cerâmicos. Parte IV: Efeitos da Adição de Dolomita. Cerâmica Industrial 5 (1):43–7.
   Google Scholar
• Melessanaki, K., M. Mateo, S. C. Ferrence, P. P. Betancourt, and D. Anglos. 2002. The application of LIBS for the analysis of archeological ceramic and metal artifacts. Applied Surface Science 197–198 (1):156–63. doi:10.1016/S0169-4332(02)00459-2.
   Google Scholar
• Michel, A. P. M. 2010. Review: Applications of single-shot laser-induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy 65 (3):185–91. doi:10.1016/j.sab.2010.01.006.
   Web of Science ®Google Scholar
• Omolaoye, J. A., A. Uzairu, and C. E. Gimba. 2010. Heavy metal assessment of some ceramic products imported into Nigeria from China. Archives of Applied Science Research 2 (5):120–5.
   Google Scholar
• Oreste, E. Q., A. O. de Souza, C. C. Pereira, M. A. Vieira, and A. S. Ribeiro. 2017. Decomposição ácida assistida por ultrassom para a determinação de Cu, Fe, Mg e Zn por F AAS em cerâmicas de uso doméstico. Química Nova 40 (3):310–6. doi:10.21577/0100-4042.20170013.
   Google Scholar
• Padilla, R., P. Van Espen, and P. P. G. Torres. 2006. The suitability of XRF analysis for compositional classification of archaeological ceramic fabric: A comparison with a previous NAA study. Analytica Chimica Acta 558 (1-2):283–9. doi:10.1016/j.aca.2005.10.077.
   Web of Science ®Google Scholar
• Papachristodoulou, C., A. Oikonomou, K. Ioannides, and K. A. Gravani. 2006. Study of ancient pottery by means of X-ray fluorescence spectroscopy, multivariate statistics and mineralogical analysis. Analytica Chimica Acta 573-574 (1):347–53. doi:10.1016/j.aca.2006.02.012.
   PubMedGoogle Scholar
• Papadopoulou, D. N., G. A. Zachariadis, A. N. Anthemidis, N. C. Tsirliganis, and J. A. Stratis. 2006. Development and optimisation of a portable micro-XRF method for in situ multi-element analysis of ancient ceramics. Talanta 68 (5):1692–9. doi:10.1016/j.talanta.2005.08.051.
   PubMed Web of Science ®Google Scholar
• Pasquini, C., J. Cortez, L. M. C. Silva, and F. B. Gonzaga. 2007. Laser induced breakdown spectroscopy. Journal of the Brazilian Chemical Society 18 (3):463–512. doi:10.1590/S0103-50532007000300002.
   Web of Science ®Google Scholar
• Pires, C. T. G. V. M. T., N. G. Oliveira, Jr., and C. Airoldi. 2012. Structural incorporation of titanium and/or aluminum in layered silicate magadiite through direct syntheses. Materials Chemistry and Physics 135 (2-3):870–9. doi:10.1016/j.matchemphys.2012.05.072.
   Web of Science ®Google Scholar
• Pontes, M. J. C., J. Cortez, R. K. H. Galvão, C. Pasquini, M. C. U. Araújo, R. M. Coelho, M. K. Chiba, M. F. Abreu, and B. E. Madari. 2009. Classification of brazilian soils by using LIBS and variable selection in the wavelet domain. Analytica Chimica Acta 642 (1-2):12–8. doi:10.1016/j.aca.2009.03.001.
   PubMed Web of Science ®Google Scholar
• Ramil, A., A. J. López, and A. Yáñez. 2008. Application of artificial neural networks for the rapid classification of archaeological ceramics by means of laser induced breakdown spectroscopy (LIBS). Applied Physics A 92 (1):197–202. doi:10.1007/s00339-008-4481-7.
   Web of Science ®Google Scholar
• Ruiz, M. S., L. C. Tanno, M. Cabral, Jr., J. M. Coelho, and J. C. Niedzielski. 2011. A indústria de louça e porcelana de mesa no Brasil. Cerâmica Industrial 16 (2):29–34. doi:10.4322/cerind.2014.005.
   Google Scholar
• Sadek, H., M. Simileanu, R. Radvan, and R. Goumaa. 2012. Identification of porcelain pigments by laser induced breakdown spectroscopy. Journal of Optoelectronics and Advanced Materials 14 (9-10):858–62.
   Web of Science ®Google Scholar
• Sánchez-Muñoz, L., S. S. Cava, C. A. Paskocimas, E. Cerisuelo, E. Longo, and J. B. Carda. 2002. Seleção de matérias-primas no desenvolvimento de formulações de massas cerâmicas. Cerâmica 48 (306):108–13. doi:10.1590/S0366-69132002000200010.
   Google Scholar
• Santos, L. R., F. G. Melchiades, E. Biscaro, A. Ferrari, and A. O. Boschi. 2010. Avaliação de Caulim Sedimentar do Estado do Pará como Matéria‐Prima para o Setor Cerâmico. Parte I. Caracterização Físico-Química. Cerâmica Industrial 15 (5-6):19–24.
   Google Scholar
• Schenk, E. R., and J. R. Almirall. 2012. Elemental analysis of glass by laser ablation inductively coupled plasma optical emission spectrometry (LA-ICP-OES). Forensic Science International 217 (1-3):222–8. doi:10.1016/j.forsciint.2011.11.009.
   PubMed Web of Science ®Google Scholar
• Schuller, D., E. C. Bianchi, and P. R. Aguiar. 2008. Influência de defeitos e diferentes processos de fabricação nas propriedades mecânicas finais de cerâmicas. Cerâmica 54 (332):435–42. doi:10.1590/S0366-69132008000400008.
   Google Scholar
• Snee, R. D. 1977. Validation of regression models: Methods and examples. Technometrics 19 (4):415–28. doi:10.1080/00401706.1977.10489581.
   Web of Science ®Google Scholar
• Soares, R. A. L., R. M. Nascimento, C. A. Paskocimas, and R. J. S. Castro. 2014. Avaliação da adição de dolomita em massa de cerâmica de revestimento de queima vermelha. Cerâmica 60 (356):516–23. doi:10.1590/S0366-69132014000400009.
   Google Scholar
• Syta, O., B. Wagner, E. Bulska, D. Zielińska, G. Z. Żukowska, J. Gonzalez, and R. Russo. 2018. Elemental imaging of heterogeneous inorganic archaeological samples by means of simultaneous laser induced breakdown spectroscopy and laser ablation inductively coupled plasma mass spectrometry measurements. Talanta 179 (1):784–91. doi:10.1016/j.talanta.2017.12.011.
   PubMedGoogle Scholar
• Vítková, G., K. Novotný, L. Prokeš, A. Hrdlička, J. Kaiser, J. Novotný, R. Malina, and D. Prochazka. 2012. Fast identification of biominerals by means of stand-off laser‐induced breakdown spectroscopy using linear discriminant analysis and artificial neural networks. Spectrochimica Acta Part B: Atomic Spectroscopy 73 (1):1–6. doi:10.1016/j.sab.2012.05.010.
   Google Scholar
• Vítková, G., L. Prokeš, K. Novotný, P. Pořízka, J. Novotný, D. Všianský, L. Čelko, and J. Kaiser. 2014. Comparative study on fast classification of brick samples by combination of principal component analysis and linear discriminant analysis using stand-off and table-top laser-induced breakdown spectroscopy. Spectrochimica Acta Part B: Atomic Spectroscopy 101 (1):191–9. doi:10.1016/j.sab.2014.08.036.
   Google Scholar
• Wold, S. 1976. Pattern recognition by means of disjoint principal components models. Pattern Recognition 8 (3):127–39. doi:10.1016/0031-3203(76)90014-5.
   Web of Science ®Google Scholar
• Wold, S., and M. Sjöström. 1998. Chemometrics, present and future success. Chemometrics and Intelligent Laboratory Systems 44 (1-2):3–14. doi:10.1016/S0169-7439(98)00075-6.
   Web of Science ®Google Scholar