Online coupling of high-performance liquid chromatography with surface-enhanced Raman spectroscopy for the identification of historical dyes
| Autor: | Giulia Dulcedo Bedini, Chiara Zaffino, Silvia Bruni, Vittoria Guglielmi, Giorgio Mazzola |
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| Rok vydání: | 2016 |
| Předmět: |
Chromatography
Elution 010401 analytical chemistry Infrared spectroscopy 02 engineering and technology Surface-enhanced Raman spectroscopy 021001 nanoscience & nanotechnology Alizarin 01 natural sciences High-performance liquid chromatography 0104 chemical sciences symbols.namesake chemistry.chemical_compound Molecular recognition chemistry symbols General Materials Science Dyeing 0210 nano-technology Raman spectroscopy Spectroscopy |
| Zdroj: | Journal of Raman Spectroscopy. 47:607-615 |
| ISSN: | 0377-0486 |
| DOI: | 10.1002/jrs.4867 |
| Popis: | High-performance liquid chromatography (HPLC) is still, today, the technique of choice for the analysis of natural dyes in artistic objects and historical textiles, particularly in association with photodiode array (PDA) detection. In the last two decades, surface-enhanced Raman spectroscopy (SERS) gained also increasing importance for these investigations thanks to its sensitivity and limited requirements in terms of sample quantity. In favor of SERS, its high specificity in molecular recognition typical of vibrational spectroscopy should be mentioned, whereas this non-separative technique is obviously disadvantaged in the analyses of mixed chromophores, as is often the case of many natural dyes and also of tints obtained by the combined use of different colorants. An optimized experimental setup combining the two techniques, HPLC-PDA and SERS, is proposed in the present work, allowing online SERS detection of different dyeing compounds eluted from the HPLC column. Examples are presented concerning some of the colorants most widely used in history, such as morin and luteolin for yellow dyes, alizarin, purpurin, laccaic, kermesic, and carminic acids for red ones, and indigotin for blue tints. Copyright © 2016 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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