Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics
The provenance study of archaeological materials is an important step in understanding the cultural and economic life of ancient human communities. One of the most popular approaches in provenance studies is to obtain the chemical composition of material and process it with chemometric methods. In t...
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2023-01-01
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author | Artem S. Maltsev Nailya N. Umarova Galina V. Pashkova Maria M. Mukhamedova Dmitriy L. Shergin Vitaly V. Panchuk Dmitry O. Kirsanov Elena I. Demonterova |
author_facet | Artem S. Maltsev Nailya N. Umarova Galina V. Pashkova Maria M. Mukhamedova Dmitriy L. Shergin Vitaly V. Panchuk Dmitry O. Kirsanov Elena I. Demonterova |
author_sort | Artem S. Maltsev |
collection | DOAJ |
description | The provenance study of archaeological materials is an important step in understanding the cultural and economic life of ancient human communities. One of the most popular approaches in provenance studies is to obtain the chemical composition of material and process it with chemometric methods. In this paper, we describe a combination of the total-reflection X-ray fluorescence (TXRF) method and chemometric techniques (PCA, k-means cluster analysis, and SVM) to study Neolithic ceramic samples from eastern Siberia (Baikal region). A database of ceramic samples was created and included 10 elements/indicators for classification by geographical origin and ornamentation type. This study shows that PCA cannot be used as the primary method for provenance purposes, but can show some patterns in the data. SVM and k-means cluster analysis classified most of the ceramic samples by archaeological site and type with high accuracy. The application of chemometric techniques also showed the similarity of some samples found at sites located close to each other. A database created and processed by SVM or k-means cluster analysis methods can be supplemented with new samples and automatically classified. |
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issn | 1420-3049 |
language | English |
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spelling | doaj.art-c1504fd24b0e43d190ac5edb23d2117a2023-11-16T17:27:37ZengMDPI AGMolecules1420-30492023-01-01283109910.3390/molecules28031099Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological CeramicsArtem S. Maltsev0Nailya N. Umarova1Galina V. Pashkova2Maria M. Mukhamedova3Dmitriy L. Shergin4Vitaly V. Panchuk5Dmitry O. Kirsanov6Elena I. Demonterova7Institute of the Earth’s Crust, Siberian Branch of the Russian Academy of Sciences, 128 Lermontov St., 664033 Irkutsk, RussiaInstitute of Petroleum, Chemistry and Nanotechnologies, Kazan National Research Technological University, 68 Karl Marx St., 420015 Kazan, RussiaInstitute of the Earth’s Crust, Siberian Branch of the Russian Academy of Sciences, 128 Lermontov St., 664033 Irkutsk, RussiaInstitute of the Earth’s Crust, Siberian Branch of the Russian Academy of Sciences, 128 Lermontov St., 664033 Irkutsk, RussiaPedagogical Institute, Irkutsk State University, 1 Karl Marx St., 664003 Irkutsk, RussiaInstitute of Chemistry, St. Petersburg University, 7-9 Universitetskaya Embankment, 199034 St. Petersburg, RussiaInstitute of Chemistry, St. Petersburg University, 7-9 Universitetskaya Embankment, 199034 St. Petersburg, RussiaInstitute of the Earth’s Crust, Siberian Branch of the Russian Academy of Sciences, 128 Lermontov St., 664033 Irkutsk, RussiaThe provenance study of archaeological materials is an important step in understanding the cultural and economic life of ancient human communities. One of the most popular approaches in provenance studies is to obtain the chemical composition of material and process it with chemometric methods. In this paper, we describe a combination of the total-reflection X-ray fluorescence (TXRF) method and chemometric techniques (PCA, k-means cluster analysis, and SVM) to study Neolithic ceramic samples from eastern Siberia (Baikal region). A database of ceramic samples was created and included 10 elements/indicators for classification by geographical origin and ornamentation type. This study shows that PCA cannot be used as the primary method for provenance purposes, but can show some patterns in the data. SVM and k-means cluster analysis classified most of the ceramic samples by archaeological site and type with high accuracy. The application of chemometric techniques also showed the similarity of some samples found at sites located close to each other. A database created and processed by SVM or k-means cluster analysis methods can be supplemented with new samples and automatically classified.https://www.mdpi.com/1420-3049/28/3/1099TXRFarchaeological ceramicsPCASVMk-means cluster analysisprovenance |
spellingShingle | Artem S. Maltsev Nailya N. Umarova Galina V. Pashkova Maria M. Mukhamedova Dmitriy L. Shergin Vitaly V. Panchuk Dmitry O. Kirsanov Elena I. Demonterova Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics Molecules TXRF archaeological ceramics PCA SVM k-means cluster analysis provenance |
title | Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics |
title_full | Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics |
title_fullStr | Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics |
title_full_unstemmed | Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics |
title_short | Combination of Total-Reflection X-Ray Fluorescence Method and Chemometric Techniques for Provenance Study of Archaeological Ceramics |
title_sort | combination of total reflection x ray fluorescence method and chemometric techniques for provenance study of archaeological ceramics |
topic | TXRF archaeological ceramics PCA SVM k-means cluster analysis provenance |
url | https://www.mdpi.com/1420-3049/28/3/1099 |
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