Literature DB >> 16503599

Identification of proteins in renaissance paintings by proteomics.

Caroline Tokarski1, Elisabeth Martin, Christian Rolando, Cécile Cren-Olivé.   

Abstract

The presented work proposes a new methodology based on proteomics techniques to identify proteins in old art paintings. The main challenging tasks of this work were (i) to find appropriate conditions for extracting proteins from the binding media without protein hydrolysis in amino acids and (ii) to develop analytical methods adapted to the small sample quantity available. Starting from microsamples of painting models (ovalbumin-based, which is the major egg white protein, and egg-based paintings), multiple extraction solutions (HCl, HCOOH, NH3, NaOH) and conditions (ultrasonic bath, mortar and pestle, grinding resin) were evaluated. The best results were obtained using a commercial kit including a synthetic resin, mortar and pestle to grind the sample in an aqueous solution acidified with trifluoroacetic acid at 1% with additional multiple steps of ultrasonic baths. The resulting supernatant was analyzed by MALDI-TOF in linear mode to verify the efficiency of the extraction solution. An enzymatic hydrolysis step was also performed for protein identification; the peptide mixture was analyzed by nanoLC/nanoESI/Q-q-TOF MS/MS with an adapted chromatographic run for the low sample quantity. Finally, the developed methodology was successfully applied to Renaissance art painting microsamples of approximately 10 microg from Benedetto Bonfigli's triptych, The Virgin and Child, St. John the Baptist, St. Sebastian (XVth century), and Niccolo di Pietro Gerini's painting, The Virgin and Child (XIVth century), identifying, for the first time and without ambiguity, the presence of whole egg proteins (egg yolk and egg white) in a painting binder.

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Year:  2006        PMID: 16503599     DOI: 10.1021/ac051181w

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 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

Review 2.  Paleoproteomics.

Authors:  Christina Warinner; Kristine Korzow Richter; Matthew J Collins
Journal:  Chem Rev       Date:  2022-07-15       Impact factor: 72.087

3.  Identification of milk component in ancient food residue by proteomics.

Authors:  Chuan Hong; Hongen Jiang; Enguo Lü; Yunfei Wu; Lihai Guo; Yongming Xie; Changsui Wang; Yimin Yang
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

4.  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

5.  Proteomic and metagenomic insights into prehistoric Spanish Levantine Rock Art.

Authors:  Clodoaldo Roldán; Sonia Murcia-Mascarós; Esther López-Montalvo; Cristina Vilanova; Manuel Porcar
Journal:  Sci Rep       Date:  2018-07-03       Impact factor: 4.379

6.  Palaeoproteomics guidelines to identify proteinaceous binders in artworks following the study of a 15th-century painting by Sandro Botticelli's workshop.

Authors:  F Di Gianvincenzo; D Peggie; M Mackie; C Granzotto; C Higgitt; E Cappellini
Journal:  Sci Rep       Date:  2022-06-23       Impact factor: 4.996

7.  Palaeoproteomic Profiling of Conservation Layers on a 14th Century Italian Wall Painting.

Authors:  Meaghan Mackie; Patrick Rüther; Diana Samodova; Fabiana Di Gianvincenzo; Clara Granzotto; David Lyon; David A Peggie; Helen Howard; Lynne Harrison; Lars Juhl Jensen; Jesper V Olsen; Enrico Cappellini
Journal:  Angew Chem Int Ed Engl       Date:  2018-04-26       Impact factor: 15.336

  7 in total

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