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Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts.

ABSTRACT: Authentic historic manuscripts fetch high sums, but establishing their authenticity is challenging, relies on a host of stylistic clues and requires expert knowledge. High resolution mass spectrometry has not, until now, been applied to guide the authentication of historic manuscripts. Robert Burns is a well-known Scottish poet, whose fame, and the eponymous 'Burns Night' are celebrated world-wide. Authenticity of his works is complicated by the 'industrial' production of fakes by Alexander Smith in the 1890s, many of which were of good quality and capable of fooling experts. This study represents the first analysis of the inks and paper used in Burns poetry, in a minimally destructive manner that could find application in many areas. Applying direct infusion mass spectrometry to a panel of selected authenticated Burns and Smith manuscripts, we have produced a Support Vector Machine classifier that distinguishes Burns from Smith with a 0.77 AUC. Using contemporary recipes for inks, we were also able to match features of each to the inks used to produce some of Burns' original manuscripts. We anticipate the method and classifier having broad application in authentication of manuscripts, and our analysis of contemporary inks to provide insights into the production of written works of art.

SUBMITTER: Newton J

PROVIDER: S-EPMC6062563 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature

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Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts.

Newton James J Ramage Gordon G Gadegaard Nikolaj N Zachs William W Rogers Simon S Barrett Michael P MP Carruthers Gerard G Burgess Karl K

Scientific reports 20180726 1

Authentic historic manuscripts fetch high sums, but establishing their authenticity is challenging, relies on a host of stylistic clues and requires expert knowledge. High resolution mass spectrometry has not, until now, been applied to guide the authentication of historic manuscripts. Robert Burns is a well-known Scottish poet, whose fame, and the eponymous 'Burns Night' are celebrated world-wide. Authenticity of his works is complicated by the 'industrial' production of fakes by Alexander Smit ...[more]

PMID: 30050048

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Project description:BackgroundNon-target screening consists in searching a sample for all present substances, suspected or unknown, with very little prior knowledge about the sample. This approach has been introduced more than a decade ago in the field of water analysis, together with dedicated compound identification tools, but is still very scarce for indoor and atmospheric trace gas measurements, despite the clear need for a better understanding of the atmospheric trace gas composition. For a systematic detection of emerging trace gases in the atmosphere, a new and powerful analytical method is gas chromatography (GC) of preconcentrated samples, followed by electron ionisation, high resolution mass spectrometry (EI-HRMS). In this work, we present data analysis tools to enable automated fragment formula annotation for unknown compounds measured by GC-EI-HRMS.ResultsBased on co-eluting mass/charge fragments, we developed an innovative data analysis method to reliably reconstruct the chemical formulae of the fragments, using efficient combinatorics and graph theory. The method does not require the presence of the molecular ion, which is absent in [Formula: see text]40% of EI spectra. Our method has been trained and validated on >50 halocarbons and hydrocarbons, with 3-20 atoms and molar masses of 30-330 g mol[Formula: see text], measured with a mass resolution of approx. 3500. For >90% of the compounds, more than 90% of the annotated fragment formulae are correct. Cases of wrong identification can be attributed to the scarcity of detected fragments per compound or the lack of isotopic constraint (no minor isotopocule detected).ConclusionsOur method enables to reconstruct most probable chemical formulae independently from spectral databases. Therefore, it demonstrates the suitability of EI-HRMS data for non-target analysis and paves the way for the identification of substances for which no EI mass spectrum is registered in databases. We illustrate the performances of our method for atmospheric trace gases and suggest that it may be well suited for many other types of samples. The L-GPL licenced Python code is released under the name ALPINAC for ALgorithmic Process for Identification of Non-targeted Atmospheric Compounds.

Dataset Information

Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts.

Publications

Minimally-destructive atmospheric ionisation mass spectrometry authenticates authorship of historical manuscripts.

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