| Literature DB >> 25926868 |
Mauro Tomassetti1, Federico Marini1, Luigi Campanella1, Matteo Positano1, Francesco Marinucci1.
Abstract
BACKGROUND: Literature on mortars has mainly focused on the identification and characterization of their components in order to assign them to a specific historical period, after accurate classification. For this purpose, different analytical techniques have been proposed. Aim of the present study was to verify whether the combination of thermal analysis and chemometric methods could be used to obtain a fast but correct classification of ancient mortar samples of different ages (Roman era and Renaissance).Entities:
Keywords: Ancient Roman frescoes; Mortars; Principal component analysis (PCA); Renaissance frescoes; Thermal analysis
Year: 2015 PMID: 25926868 PMCID: PMC4414380 DOI: 10.1186/s13065-015-0098-z
Source DB: PubMed Journal: Chem Cent J ISSN: 1752-153X Impact factor: 4.215
Figure 1Details of two of the studied Ancient “Termini Station” Roman frescoes from Museo Nazionale Romano, Rome, Italy.
Figure 2Details of frescoes from the Sistine Chapel or ancient Vatican Rooms (Vatican City). (a) C. Rosselli, “Il Passaggio del Mar Rosso”; (b) Raffaello, “Il Parnaso”; (c) fragment from the “Room of Heliodorus” glued on pottery support.
Figure 3Typical TG and DTG curves of the “Termini Station” samples (Ta-Tc) and of samples from the Vatican Rooms (p, pmr1, and hra); heating rate 10°C min−1 under an air stream of 100 cm3 min−1.
Main thermogravimetric data
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|---|---|---|---|---|---|---|
| pmr1 | 2.31 | 4.37 | 325 | 13.71 | 780 | 79.34 |
| pmr2 | 1.98 | 5.62 | 320 | 13.25 | 775 | 79.73 |
| hra | 1.16 | 3.48 | 335 | 14.31 | 775 | 80.97 |
| hrb | 1.07 | 5.39 | 345 | 14.19 | 770 | 79.14 |
| p | 1.10 | 3.27 | 300 | 19.3 | 760 | 75.5 |
| Ta | 1.00 | 2.90 | 318 | 40.1 | 766 | 55.9 |
| Tb | 1.50 | 4.80 | 320 | 39.5 | 760 | 54.6 |
| Tc | 0.60 | 2.30 | 324 | 41.2 | 767 | 55.2 |
| Td | 1.50 | 3.80 | 330 | 37.9 | 759 | 56.4 |
| Te | 0.90 | 2.90 | 325 | 39.1 | 754 | 56.7 |
RSD% ≤ 1.2 for all T values.
RSD% ≤ 1.5 for all mass loss values and residue at 1000°C.
Figure 4Typical DTA curves measured on the “Termini” samples (Ta-Tc) and on samples from the Vatican Rooms (p, pmr, and hra); heating rate 10°C min−1 under an air stream of 100 cm3 min−1.
Figure 5PCA on all the data reported in Table 1 after autoscaling. Scores plot.
Figure 6PCA on all the data reported in Table 1 after autoscaling. Loadings plot.