Literature DB >> 19586633

The development of a gas chromatographic-mass spectrometric analytical procedure for the determination of lipids, proteins and resins in the same paint micro-sample avoiding interferences from inorganic media.

Ilaria Bonaduce1, Marcello Cito, Maria Perla Colombini.   

Abstract

This paper presents a GC-MS analytical procedure for determining proteinaceous materials, glycerolipids, natural waxes and terpenoid resins in the same paint micro-sample. The procedure is also reliable when high amounts of interfering inorganic pigments, dryers and charges are present. The characterisation of proteinaceous binders in a paint sample can be subject to analytical interferences by inorganic materials. Such materials may form complexes with functional groups of proteins, thus preventing their efficient derivatisation, which is necessary prior to GC analysis. For this reason an analytical procedure has been developed based on two extractions and a clean-up step, in order to obtain two fractions: a lipid-resinous fraction and a proteinaceous fraction. The lipid-resinous fraction is subjected to salification/saponification assisted by microwaves, followed by acidification, extraction, derivatisation and GC-MS analysis. The proteinaceous fraction is analysed by GC-MS after hydrolysis and derivatisation of the freed amino acids. The desalting step is applied before the hydrolysis, and is based on the use of the monolithic sorbent tip technology with a C4 stationary phase. Reference paint replicas of egg, casein and animal glue were prepared with and without several metals containing pigments, and used to develop and validate the analytical procedure. The procedure proved to be efficient in desalting the proteinaceous materials both from cations and anions. Although non quantitative, it is reliable in the analysis of samples whose content of extractable proteins is <1 microg, thus showing it to be suitable for the characterisation of paint samples. An example of how the analytical procedure was used to characterise a sample from a 15th century panel painting is also discussed.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19586633     DOI: 10.1016/j.chroma.2009.06.033

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  3 in total

1.  A simple and reliable methodology to detect egg white in art samples.

Authors:  Michela Gambino; Francesca Cappitelli; Cristina Cattò; Aristodemo Carpen; Pamela Principi; Lisa Ghezzi; Ilaria Bonaduce; Eugenio Galano; Pietro Pucci; Leila Birolo; Federica Villa; Fabio Forlani
Journal:  J Biosci       Date:  2013-06       Impact factor: 1.826

2.  GC/MS and proteomics to unravel the painting history of the lost Giant Buddhas of Bāmiyān (Afghanistan).

Authors:  Anna Lluveras-Tenorio; Roberto Vinciguerra; Eugenio Galano; Catharina Blaensdorf; Erwin Emmerling; Maria Perla Colombini; Leila Birolo; Ilaria Bonaduce
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

3.  Proteomic Characterization of Collagen-Based Animal Glues for Restoration.

Authors:  Georgia Ntasi; Sara Sbriglia; Rossana Pitocchi; Roberto Vinciguerra; Chiara Melchiorre; Laura Dello Ioio; Giancarlo Fatigati; Emanuele Crisci; Ilaria Bonaduce; Andrea Carpentieri; Gennaro Marino; Leila Birolo
Journal:  J Proteome Res       Date:  2022-08-15       Impact factor: 5.370

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.