2017
DOI: 10.1002/jssc.201700937
|View full text |Cite
|
Sign up to set email alerts
|

Identification of proteins, drying oils, waxes and resins in the works of art micro‐samples by chromatographic and mass spectrometric techniques

Abstract: Simplified method for simultaneous identification of proteins, drying oils, waxes, and resins in the works-of-art samples was developed. Liquid chromatography with mass spectrometry and gas chromatography with mass spectrometry were used to identify natural materials most frequently encountered in historical paintings. Protein binders were extracted with ammonia and purified using miniaturized solid-phase microextraction (Omix tips) to efficiently suppress matrix interferences. Zwitterionic stationary phase wa… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 37 publications
(106 reference statements)
0
1
0
Order By: Relevance
“…In the near future, further improvements in the extraction procedures for the analysis of acylglycerols will be exploited to characterize lipids together with proteins (Witkowski et al, 2010) and other organic materials commonly encountered in Heritage Science. Analyzing lipids and proteins in the same sample has proven useful in many fields of archaeometry (Andreotti et al, 2006; van der Werf et al, 2012; Calvano et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…In the near future, further improvements in the extraction procedures for the analysis of acylglycerols will be exploited to characterize lipids together with proteins (Witkowski et al, 2010) and other organic materials commonly encountered in Heritage Science. Analyzing lipids and proteins in the same sample has proven useful in many fields of archaeometry (Andreotti et al, 2006; van der Werf et al, 2012; Calvano et al, 2016).…”
Section: Discussionmentioning
confidence: 99%