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揭示多色艺术作品中有机材料的组成:基于质谱技术的作用。

Revealing the composition of organic materials in polychrome works of art: the role of mass spectrometry-based techniques.

作者信息

Calvano Cosima Damiana, van der Werf Inez Dorothé, Palmisano Francesco, Sabbatini Luigia

机构信息

Dipartimento di Chimica, Università degli Studi di Bari Aldo Moro, Via Orabona 4, 70126, Bari, Italy.

Centro Interdipartimentale S.M.A.R.T., Università degli Studi di Bari Aldo Moro, Via Orabona 4, 70126, Bari, Italy.

出版信息

Anal Bioanal Chem. 2016 Oct;408(25):6957-81. doi: 10.1007/s00216-016-9862-8. Epub 2016 Aug 24.

Abstract

The most recent advances in the identification and determination of organic constituents in paintings and other polychrome objects using mass spectrometry (MS)-based techniques are reviewed. The latest achievements in gas chromatography (GC)-MS and pyrolysis (Py-) GC-MS are mainly related to sample pretreatment protocols and to the employment of double-shot or laser desorption pyrolysis, respectively. MS techniques based on soft ionization methods such as matrix assisted laser desorption ionization (MALDI) and electrospray ionization (ESI) are discussed. So far, MALDI and ESI MS have been mainly used in the characterization of proteinaceous materials, but further applications are definitely emerging, e.g., in the fields of lipids, resins, and organic colorants analysis. Chemical imaging by time-of-flight secondary ion mass spectrometry (TOF SIMS), formerly applied to the detection and localization of lipid binders and inorganic materials, has been recently extended to proteins. Finally, the potential of niche techniques such as direct temperature resolved mass spectrometry (DTMS) and direct analysis in real time (DART) MS are outlined.

摘要

本文综述了利用基于质谱(MS)的技术在绘画及其他多色物体中有机成分鉴定和测定方面的最新进展。气相色谱(GC)-MS和热解(Py-)GC-MS的最新成果主要分别与样品预处理方案以及双脉冲或激光解吸热解的应用有关。讨论了基于软电离方法的质谱技术,如基质辅助激光解吸电离(MALDI)和电喷雾电离(ESI)。到目前为止,MALDI和ESI MS主要用于蛋白质材料的表征,但肯定也有新的应用出现,例如在脂质、树脂和有机着色剂分析领域。飞行时间二次离子质谱(TOF SIMS)的化学成像,以前用于脂质粘合剂和无机材料的检测与定位,最近已扩展到蛋白质。最后,概述了直接温度分辨质谱(DTMS)和实时直接分析(DART)MS等特殊技术的潜力。

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