Mass spectrometry imaging of thin-layer chromatography plates using laser desorption/low-temperature plasma ionisation
| Autor: | Abigail Moreno-Pedraza, Robert Winkler, Ignacio Rosas-Román, Enrique Ramírez-Chávez, Jorge Molina-Torres, Nancy Shyrley Garcia-Rojas |
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| Rok vydání: | 2020 |
| Předmět: |
Materials science
010402 general chemistry Mass spectrometry Coffee 01 natural sciences Biochemistry Mass spectrometry imaging Analytical Chemistry Ion Limit of Detection Desorption Electrochemistry Environmental Chemistry Spectroscopy Cacao Chromatography Tea 010401 analytical chemistry Thin-layer chromatography Ion source 0104 chemical sciences Cold Temperature Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Xanthines Mass spectrum Chromatography Thin Layer |
| Zdroj: | The Analyst. 145:3885-3891 |
| ISSN: | 1364-5528 0003-2654 |
| Popis: | Thin-layer chromatography (TLC) is a classic method for the separation and analysis of complex mixtures. Biological assays, chemical derivatisation and spectroscopy techniques are compatible with TLC and provide extra information about isolated compounds. However, coupling TLC to mass spectrometry is hampered by the difficulty to desorb the analytes from the silica surfaces. In this study, we used a multimodal ion source for laser desorption (LD) and low-temperature plasma (LTP) post-ionisation. Efficient desorption was reached by covering the TLC plates with activated carbon. Regions of interest can be analysed by spots, by lines or by area. We show the separation of methylxanthines from coffee, tea and cocoa preparations by TLC, with subsequent mass spectrometry imaging (MSI). Using a lateral resolution of 400 μm × 400 μm, allowed the acquisition of 21 895 spectra in 2.4 h (2.5 pixels per s). Further, we demonstrate the possibility of direct mass fragmentation studies and quantification. We mounted the system on an Open LabBot with a theoretical lateral resolution of 12.5 μm and performed the visualisation of ions of interest and the pixel-wise review of mass spectra with our free software RmsiGUI (https://bitbucket.org/lababi/rmsigui). This non-proprietary and modular platform enables the cost-efficient adaption of the system and further development by the community. |
| Databáze: | OpenAIRE |
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