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npj Heritage Science
Article . 2025 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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DIGITAL.CSIC
Article . 2025 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Optimizing museum construction material selection through mass spectrometry analysis

Authors: Alvarez-Martin, Alba; Díaz, Iván; King, R.; Bakker-Arkema, J.; Newsome, G.A.; Cano Díaz, Emilio; Creange, S.; +2 Authors

Optimizing museum construction material selection through mass spectrometry analysis

Abstract

Assessing the suitability of display case construction materials is crucial to prevent museum object damage. This study evaluates three mass spectrometry (MS) approaches, HS-SPME-trap-enrichment-GC-MS, DTD-GC-MS, and DART-HRMS, for analysing volatile organic compound (VOC) emissions from exhibition and storage materials. Results were compared with the Oddy test, which assesses material corrosivity. HS-SPME-trap-enrichment improved sensitivity for detecting low-abundance corrosive volatiles, such as acetic acid, while DTD offered broader chemical profiling. Correlations between acetic acid emissions and lead corrosion in Oddy tests suggest GC-MS-based methods can predict material corrosivity. DART-HRMS effectively confirms specific additives, while GC-MS shows potential to serve as a screening tool for material classification. Though MS techniques provide faster analysis and detailed chemical insights than the Oddy test, they require a higher level of knowledge for data interpretation. With further refinement, MS approaches could complement to traditional corrosion testing, offering an efficient screening tool for evaluating materials used in conservation.

This research was conducted within IPERION HS Task 5.1 funded by the European Union, H2020-INFRAIA-2019-1, under GA 871034. E.B., J.B.A ., and RK’s research is supported by an IMLS National Leadership Grant (MG-249353-OMS-21).

Peer reviewed

Country
Spain
Keywords

Corrosion, Museum, Construction material, Mass spectrometry analysis

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    influence
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
gold
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