ANALYSIS OF ANCIENT METAL COIN USING DIFFERENT EXPERIMENTAL TECHNIQUES AND METHODS OF MULTIVARIATE ANALYSIS

被引:0
|
作者
Orlic, Mandi [1 ]
Kregar, Zlatko [2 ]
Biscan, Marijan [2 ]
Milosevic, Slobodan [2 ]
Dobrinic, Julijan [3 ]
机构
[1] Polytech Zagreb, Dept Civil Engn, Zagreb, Croatia
[2] Univ Zagreb, Inst Phys, Zagreb, Croatia
[3] Univ Rijeka, Fac Engn, Rijeka, Croatia
关键词
ancient; cultural heritage; spectroscopy; laser ablation; multivariate analysis;
D O I
暂无
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Different spectroscopic techniques, in combination with suitable statistical methods of multivariate analysis, can be applied in explorations investigation in various fields, including industry, environment, agriculture, medicine and cultural heritage, for example. For well-known reasons, in analyses of cultural heritage artifacts only full or nearly non-destructive experimental methods must be used. In this paper, we have chosen the ancient metal coin, found on the territory of the present Republic of Croatia and made during the reign of little known Illyrian king Ballaios. To evaluate its value and other characteristics we have used x-ray fluorescence and micro-Raman spectroscopy as two non-destructive experimental techniques, as well as micro destructive method of laser ablation, called laser induced breakdown spectroscopy. The spectroscopic data, obtained using these methods, consist of several thousand variables, mostly auto correlated. For the qualitative and quantitative interpretation of such data we have applied two methods of multivariate analysis. The principal component analysis is used for reducing the dimensionality and interpretation or classification of data set, while the partial least square analysis is used to create a calibration model to be used for analyzing unknown samples.
引用
收藏
页码:315 / 322
页数:8
相关论文
共 50 条
  • [1] Analysis of experimental design with multivariate response: A contribution using multiblock techniques
    Mazerolles, G.
    Boccard, J.
    Hanafi, M.
    Rudaz, S.
    CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2011, 106 (01) : 65 - 72
  • [2] HEAVY METAL DISTRIBUTION IN THE DIFFERENT PARTS OF MOLLUSKS BY USING MULTIVARIATE ANALYSIS
    Nikolov, Marian
    Simeonova, Pavlina
    Mitev, Vanio
    ECOLOGICAL CHEMISTRY AND ENGINEERING A-CHEMIA I INZYNIERIA EKOLOGICZNA A, 2009, 16 (03): : 223 - 229
  • [3] Ancient ceramic analysis by neutron activation in association with multivariate methods
    Vinagre, UM
    Latini, RM
    Bellido, AVB
    Buarque, A
    Borges, AM
    BRAZILIAN JOURNAL OF PHYSICS, 2005, 35 (3B) : 779 - 781
  • [4] Dynamic speckle analysis using multivariate techniques
    Lopez-Alonso, Jose M.
    Alda, Javier
    Rabal, Hector
    Grumel, Eduardo
    Trivi, Marcelo
    JOURNAL OF OPTICS, 2015, 17 (03)
  • [5] COSIMA data analysis using multivariate techniques
    Silen, J.
    Cottin, H.
    Hilchenbach, M.
    Kissel, J.
    Lehto, H.
    Siljestrom, S.
    Varmuza, K.
    GEOSCIENTIFIC INSTRUMENTATION METHODS AND DATA SYSTEMS, 2015, 4 (01) : 45 - 56
  • [6] QUANTITATIVE FTIR ANALYSIS USING MULTIVARIATE TECHNIQUES
    DURMAN, RP
    WOOD, DJ
    7TH INTERNATIONAL CONFERENCE ON FOURIER TRANSFORM SPECTROSCOPY, 1989, 1145 : 429 - 430
  • [7] Scientometric analysis of geostatistics using multivariate methods
    Feng Zhou
    Huai-Cheng Guo
    Yuh-Shan Ho
    Chao-Zhong Wu
    Scientometrics, 2007, 73 : 265 - 279
  • [8] Scientometric analysis of geostatistics using multivariate methods
    Zhou, Feng
    Guo, Huai-Cheng
    Ho, Yuh-Shan
    Wu, Chao-Zhong
    SCIENTOMETRICS, 2007, 73 (03) : 265 - 279
  • [9] USING THE MULTIVARIATE DATA ANALYSIS TECHNIQUES ON THE INSURANCE MARKET
    Dedu, Vasile
    Armeanu, Daniel
    Enciu, Adrian
    ROMANIAN JOURNAL OF ECONOMIC FORECASTING, 2009, 12 (04): : 170 - 179
  • [10] Acceleration of multivariate analysis techniques in TMVA using GPUs
    Hoecker, A.
    McKendrick, H.
    Therhaag, J.
    Washbrook, A.
    INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS 2012 (CHEP2012), PTS 1-6, 2012, 396