Issue 10, 2021

Characterization of surface materials on African sculptures: new insights from a multi-analytical study including proteomics

Abstract

Multiple analytical techniques were used to characterize materials from the surfaces of two African sculptures in the collection of the Art Institute of Chicago: a Bamana power object (boli), and a Yoruba wooden sculpture of a female figure. Surface accretions on objects such as these have received relatively little scientific attention to elucidate their composition and function, in part because they are made with complex mixtures of natural materials, which are often unfamiliar and poorly represented in the scientific literature on artists’ materials. For this reason, a complement of techniques including Fourier transform infrared spectroscopy and pyrolysis gas chromatography mass spectrometry were applied, along with shotgun proteomics to better understand the nature and biological origin, down to the species level, of the proteinaceous materials. The results highlighted the presence of diverse materials including plant resins, oils, polysaccharides, and inorganic (clay or earth) compounds. In particular, mass spectrometry-based proteomics provided new insights on proteinaceous components, allowing us to identify the presence of sacrificial blood, and more specifically, blood from chicken, goat, sheep and dog. This new scientific evidence supports and supplements knowledge derived from curatorial and field work studies, and opens new doors to understanding the objects’ significance and history of use.

Graphical abstract: Characterization of surface materials on African sculptures: new insights from a multi-analytical study including proteomics

Supplementary files

Article information

Article type
Paper
Submitted
04 Feb 2021
Accepted
31 Mar 2021
First published
04 Apr 2021

Analyst, 2021,146, 3305-3316

Characterization of surface materials on African sculptures: new insights from a multi-analytical study including proteomics

C. Granzotto, K. Sutherland, Y. A. Goo and A. Aksamija, Analyst, 2021, 146, 3305 DOI: 10.1039/D1AN00228G

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