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| Title |
Κατηγοριοποίηση φασμάτων φθορισμού από βιολογικές επικαθήσεις σε αντικείμενα αρχαιολογικού ενδιαφέροντος με τη μέθοδο της ανάλυσης κύριων συνιστωσών |
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Author
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Σκαρλατίδου, Άννα
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Thesis advisor
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Ρακιτζής, Πέτρος
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Reviewer
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Άγγλος, Δημήτριος
Σαμαρτζής, Πέτρος
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| Abstract |
Archaeological and historical monuments are integral and valuable parts of our cultural
heritage and their preservation is of major importance for the maintenance of the historical
memory. The exposure of such monuments to environmental and climatic conditions often results
in growth of substances of biological nature, among others, on their surfaces, which have a
detrimental effect on the integrity of the monument and in some cases, cause irreversible damage
to it. Due to the monuments’ unique nature, the valid and timely identification of such deteriogens
is necessary. In that way, restorers and other scientists will be able to take the correct steps towards
their treatment. The development and application of diagnostic techniques that are characterized
by non-destructiveness, the ability of in situ analysis and the lack of sampling is essential. Such
technique that meets these requirements is fluorescence spectroscopy, which can identify different
types of biodeteriogens.
In the present work, Principal Component Analysis (PCA) was applied on fluorescence
spectra, which were recorded with a portable spectrofluorimeter using a LED as excitation source
(LED-IF), with the intention of distinguishing among biodeteriogens that are present on fragments
of building materials (stones, ceramics, mortars) of ancient and historical monuments in Greece.
PCA constructed a new coordinate system called the Principal Components, and projected the
original multivariate spectra onto only two or three dimensions while preserving the maximum
possible amount of information. Consequently, we were able to observe groupings among our
samples based on the presence of chlorophyll (which is present in algae, moss or cyanobacteria)
and allophycocyanin (present only in cyanobacteria) in two out of four models, while the other
two didn’t show satisfactory classification.
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| Language |
Greek |
| Issue date |
2022-07-22 |
| Collection
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School/Department--School of Sciences and Engineering--Department of Physics--Graduate theses
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Type of Work--Graduate theses
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| Permanent Link |
https://elocus.lib.uoc.gr//dlib/b/5/c/metadata-dlib-1654498417-42350-947.tkl
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| Views |
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