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Direct Analysis in Real Time Mass Spectrometry for the Nondestructive Investigation of Conservation Treatments of Cultural Heritage

View Article: PubMed Central - PubMed

ABSTRACT

Today the long-term conservation of cultural heritage is a big challenge: often the artworks were subjected to unknown interventions, which eventually were found to be harmful. The noninvasive investigation of the conservation treatments to which they were subjected to is a crucial step in order to undertake the best conservation strategies. We describe here the preliminary results on a quick and direct method for the nondestructive identification of the various interventions of parchment by means of direct analysis in real time (DART) ionization and high-resolution time-of-flight mass spectrometry and chemometrics. The method has been developed for the noninvasive analysis of the Dead Sea Scrolls, one of the most important archaeological discoveries of the 20th century. In this study castor oil and glycerol parchment treatments, prepared on new parchment specimens, were investigated in order to evaluate two different types of operations. The method was able to identify both treatments. In order to investigate the effect of the ion source temperature on the mass spectra, the DART-MS analysis was also carried out at several temperatures. Due to the high sensitivity, simplicity, and no sample preparation requirement, the proposed analytical methodology could help conservators in the challenging analysis of unknown treatments in cultural heritage.

No MeSH data available.


Related in: MedlinePlus

Results for the 100 models calculated. x-axis: NER% calculated on the training set; y-axis: NER% calculated in cross-validation; z-axis: NER% calculated on the test set. The best theoretical model corresponding to a NER equal to 100% on the three axes is indicated in red.
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fig6: Results for the 100 models calculated. x-axis: NER% calculated on the training set; y-axis: NER% calculated in cross-validation; z-axis: NER% calculated on the test set. The best theoretical model corresponding to a NER equal to 100% on the three axes is indicated in red.

Mentions: Figure 6 represents the results obtained for the 100 models calculated representing on the x-axis the NER% on the training set, on the y-axis the NER% in cross-validation, and on the z-axis the NER% on the test set. The figure also reports the best theoretical model corresponding to a NER equal to 100% for all the three sets of samples (indicated in red in the figure); the overall best calculated model was selected as the closest to the best theoretical one. Figure 6 shows that the 100 models calculated show very good results, providing good performances not only on the training set but also in prediction, proving the robustness of the results obtained.


Direct Analysis in Real Time Mass Spectrometry for the Nondestructive Investigation of Conservation Treatments of Cultural Heritage
Results for the 100 models calculated. x-axis: NER% calculated on the training set; y-axis: NER% calculated in cross-validation; z-axis: NER% calculated on the test set. The best theoretical model corresponding to a NER equal to 100% on the three axes is indicated in red.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC5121580&req=5

fig6: Results for the 100 models calculated. x-axis: NER% calculated on the training set; y-axis: NER% calculated in cross-validation; z-axis: NER% calculated on the test set. The best theoretical model corresponding to a NER equal to 100% on the three axes is indicated in red.
Mentions: Figure 6 represents the results obtained for the 100 models calculated representing on the x-axis the NER% on the training set, on the y-axis the NER% in cross-validation, and on the z-axis the NER% on the test set. The figure also reports the best theoretical model corresponding to a NER equal to 100% for all the three sets of samples (indicated in red in the figure); the overall best calculated model was selected as the closest to the best theoretical one. Figure 6 shows that the 100 models calculated show very good results, providing good performances not only on the training set but also in prediction, proving the robustness of the results obtained.

View Article: PubMed Central - PubMed

ABSTRACT

Today the long-term conservation of cultural heritage is a big challenge: often the artworks were subjected to unknown interventions, which eventually were found to be harmful. The noninvasive investigation of the conservation treatments to which they were subjected to is a crucial step in order to undertake the best conservation strategies. We describe here the preliminary results on a quick and direct method for the nondestructive identification of the various interventions of parchment by means of direct analysis in real time (DART) ionization and high-resolution time-of-flight mass spectrometry and chemometrics. The method has been developed for the noninvasive analysis of the Dead Sea Scrolls, one of the most important archaeological discoveries of the 20th century. In this study castor oil and glycerol parchment treatments, prepared on new parchment specimens, were investigated in order to evaluate two different types of operations. The method was able to identify both treatments. In order to investigate the effect of the ion source temperature on the mass spectra, the DART-MS analysis was also carried out at several temperatures. Due to the high sensitivity, simplicity, and no sample preparation requirement, the proposed analytical methodology could help conservators in the challenging analysis of unknown treatments in cultural heritage.

No MeSH data available.


Related in: MedlinePlus