Abstract

In this paper, a comparative study was conducted on the extraction effects of six agents for collagen-based mural painting binders. These agents were used to extract the residual proteins in the non-aged and thermal aged samples. The protein extraction efficiencies of different extracting agents were quantitatively determined by bicinchoninic acid (BCA) method, and then processed by multivariate analysis of variance (MANOVA). The impact of the extraction process on the protein structure was characterized by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), ultraviolet absorption spectrum (UV) and circular dichroism (CD). The results showed that, for both non-aged and aged samples, the extraction efficiency of 2 M guanidine hydrochloride (GuHCl) was significantly higher than the other five agents, with less damage to the protein structure during the extraction process.

Highlights

  • Protecting cultural heritage is an important calling to ensure that future generations have the opportunity to appreciate them [1]

  • Though, a single standard curve was constructed for bicinchoninic acid (BCA) testing on different protein solutions [61,62,63]

  • Proteins react with BCA working solution via reducing amino acids such as tryptophan and tyrosine

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Summary

Introduction

Protecting cultural heritage is an important calling to ensure that future generations have the opportunity to appreciate them [1]. As an essential part of cultural heritage and a treasure of human civilization, mural paintings can reflect the characteristics of religion, society, clothing, architecture and other aspects of the corresponding historical period [2]. Paint is formed by dispersing pigments in binders, so that binding media can hold individual powder particles together and attach them to the. It should be emphasized that extracting target proteins from paint matrix is a prerequisite for all these identification. As binding media in ancient paintings are prone to degradation and contamination, they are difficult to be extracted, which poses a great challenge to identification. It is expected that optimizing the extraction methodology for mural painting binders could effectively improve the success rate and accuracy of identification, and minimize sampling area of ancient mural paintings

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