
Evolved gas analysis‐mass spectrometry (EGA‐MS) was used for the first time to study archaeological wood, in order to investigate its chemical degradation. The archaeological wood was from an oak pile from a stilt house found in the Neolithic ‘La Marmotta’ village (Lake Bracciano, Rome, Italy). The sampling was performed from the external to the internal part of the pile, following the annual growth rings in groups of five. In addition, sound oak wood and isolated wood components (holocellulose and cellulose) were also analyzed, and the results were used to highlight differences because of degradation.Our study demonstrated that EGA‐MS provides information on the thermo‐chemistry of archaeological wood along with in‐depth compositional data thanks to the use of MS. Our investigations not only highlighted wood degradation in terms of differences between carbohydrates and lignin content, but also showed that lignin oxidation and depolymerization took place in the archaeological wood. Mass spectral data revealed differences among the archaeological samples from the internal to the external part of the pile. An increase in the formation of wood pyrolysis products bearing a carbonyl group at the benzylic position and a decrease in the amount of lignin dimers were observed. These were related to oxidation and depolymerization reactions, respectively. Copyright © 2015 John Wiley & Sons, Ltd.
EGA-MS, oxidation, polysaccharides, lignin, depolymerization, archaeological wood; depolymerization; EGA-MS; lignin; oxidation; polysaccharides; Spectroscopy, archaeological wood
EGA-MS, oxidation, polysaccharides, lignin, depolymerization, archaeological wood; depolymerization; EGA-MS; lignin; oxidation; polysaccharides; Spectroscopy, archaeological wood
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
