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<p>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.</p>

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Optimizing museum construction material selection through mass spectrometry analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年5月6日

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  • Alba Alvarez-Martin,
  • Iván Diaz,
  • Rose King,
  • Julia Bakker-Arkema,
  • G. Asher Newsome,
  • Emilio Cano,
  • Sara Creange,
  • Eric Breitung,
  • Katrien Keune

摘要

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.