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Millbern Z, Trettin A, Wu R, Demmler M, Vinueza NR. Synthetic dyes: A mass spectrometry approach and applications. MASS SPECTROMETRY REVIEWS 2024; 43:327-344. [PMID: 36353972 DOI: 10.1002/mas.21818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 10/03/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Synthetic dyes are found in a wide variety of applications today, including but not limited to textiles, foods, and medicine. The analysis of these molecules is pertinent to several fields such as forensics, environmental monitoring, and quality control, all of which require the sensitivity and selectivity of analysis provided by mass spectrometry (MS). Recently, there has been an increase in the implementation of MS evaluation of synthetic dyes by various methods, with the majority of research thus far falling under electrospray ionization and moving toward direct ionization methods. This review covers an overview of the chemistry of synthetic dyes needed for the understanding of MS sample preparation and spectral results, current fields of application, ionization methods, and fragmentation trends and works that have been reported in recent years.
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Affiliation(s)
- Zoe Millbern
- Department of Textile Engineering, Chemistry, and Science, North Carolina State University, Raleigh, North Carolina, USA
| | - Alison Trettin
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA
| | - Rachel Wu
- Department of Textile Engineering, Chemistry, and Science, North Carolina State University, Raleigh, North Carolina, USA
| | - Morgan Demmler
- Department of Textile Engineering, Chemistry, and Science, North Carolina State University, Raleigh, North Carolina, USA
| | - Nelson R Vinueza
- Department of Textile Engineering, Chemistry, and Science, North Carolina State University, Raleigh, North Carolina, USA
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina, USA
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Śliwka-Kaszyńska M, Cybulska M, Drążkowska A, Kuberski S, Karczewski J, Marzec A, Rybiński P. Multi-Analytical Techniques for the Study of Burial Clothes of Polish King Sigismund III Vasa (1566-1633) and His Wife Constance Habsburg (1588-1631). Molecules 2023; 29:192. [PMID: 38202776 PMCID: PMC10780732 DOI: 10.3390/molecules29010192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/20/2023] [Accepted: 12/25/2023] [Indexed: 01/12/2024] Open
Abstract
The subjects of this research are the burial clothes of Polish King Sigismund III Vasa and his wife Constance, which were woven and embroidered with silk and metal threads. Fragments of the textiles underwent spectroscopic, spectrometric, and thermogravimetric analyses. The hydrofluoric acid extraction method was improved to isolate various classes of dyes from the textile samples that had direct contact with human remains. High-performance liquid chromatography, coupled with diode array and tandem mass spectrometry detectors with electrospray ionization (HPLC-DAD-ESI-MS/MS) facilitated the detection and identification of colorants present in the textiles. Cochineal, indigo-, madder-, orchil-, and tannin-producing plants were identified as the sources of dyes used. Scanning electron microscopy with an energy-dispersive X-ray detector (SEM-EDS) was employed to identify and characterize the silk fibers and mordants and the metal threads. The presence of iron, aluminum, sodium, and calcium in the silk threads suggests their potential use as mordants. The analysis of the metal threads revealed that most of them were made from flattened gilded silver wire, with only a few being cut from a sheet of metal. Typical degradation mechanisms of metal threads were shown, resulting from both burial environment and earlier manufacturing process, and the use of the textiles in clothing, i.e., a significant loss of the gold layer was observed in most of silver gilt threads, caused by abrasion and delamination. The results of the thermal analysis confirmed the presence of silk and silver threads in the examined textiles.
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Affiliation(s)
- Magdalena Śliwka-Kaszyńska
- Department of Organic Chemistry, Faculty of Chemistry, Gdansk University of Technology, 80-233 Gdańsk, Poland
| | - Maria Cybulska
- Faculty of Material Technologies and Textile Design, Institute of Architecture of Textiles, Lodz University of Technology, 90-924 Lodz, Poland;
| | - Anna Drążkowska
- Faculty of History, Institute of Archaeology, Nicolaus Copernicus University in Torun, 87-100 Torun, Poland;
| | - Sławomir Kuberski
- Faculty of Process and Environmental Engineering, Lodz University of Technology, 93-005 Lodz, Poland;
| | - Jakub Karczewski
- Faculty of Applied Physics and Mathematics, Gdansk University of Technology, 80-233 Gdańsk, Poland;
| | - Anna Marzec
- Faculty of Chemistry, Lodz University of Technology, 90-924 Lodz, Poland;
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Long ZG, Le JV, Katz BB, Lopez BG, Tenenbaum ED, Semmling B, Schmidt RJ, Grün F, Butts CT, Martin RW. Spatially resolved detection of small molecules from press-dried plant tissue using MALDI imaging. APPLICATIONS IN PLANT SCIENCES 2023; 11:e11539. [PMID: 37915436 PMCID: PMC10617318 DOI: 10.1002/aps3.11539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/30/2023] [Accepted: 04/04/2023] [Indexed: 11/03/2023]
Abstract
Premise Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a chemical imaging method that can visualize spatial distributions of particular molecules. Plant tissue imaging has so far mostly used cryosectioning, which can be impractical for the preparation of large-area imaging samples, such as full flower petals. Imaging unsectioned plant tissue presents its own difficulties in extracting metabolites to the surface due to the waxy cuticle. Methods We address this by using established delipidation techniques combined with a solvent vapor extraction prior to applying the matrix with many low-concentration sprays. Results Using this procedure, we imaged tissue from three different plant species (two flowers and one carnivorous plant leaf). Material factorization analysis of the resulting data reveals a wide range of plant-specific small molecules with varying degrees of localization to specific portions of the tissue samples, while facilitating detection and removal of signal from background sources. Conclusions This work demonstrates applicability of MALDI-MSI to press-dried plant samples without freezing or cryosectioning, setting the stage for spatially resolved molecule identification. Increased mass resolution and inclusion of tandem mass spectrometry are necessary next steps to allow more specific and reliable compound identification.
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Affiliation(s)
- Zane G. Long
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | - Jonathan V. Le
- Department of Molecular Biology and BiochemistryUniversity of CaliforniaIrvineCalifornia92697‐3900USA
| | - Benjamin B. Katz
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | - Belen G. Lopez
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | | | - Bonnie Semmling
- The Chrysler Herbarium and Mycological Collection, School of Environmental and Biological SciencesRutgers UniversityNew BrunswickNew Jersey08901USA
| | - Ryan J. Schmidt
- Department of Ecology, Evolution, and Natural ResourcesRutgers UniversityNew BrunswickNew Jersey08901USA
| | - Felix Grün
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
| | - Carter T. Butts
- Departments of Sociology, Statistics, Computer Science, and Electrical Engineering and Computer ScienceUniversity of CaliforniaIrvineCalifornia92697USA
| | - Rachel W. Martin
- Department of ChemistryUniversity of CaliforniaIrvineCalifornia92697‐2025USA
- Department of Molecular Biology and BiochemistryUniversity of CaliforniaIrvineCalifornia92697‐3900USA
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Föll MC, Moritz L, Wollmann T, Stillger MN, Vockert N, Werner M, Bronsert P, Rohr K, Grüning BA, Schilling O. Accessible and reproducible mass spectrometry imaging data analysis in Galaxy. Gigascience 2019; 8:giz143. [PMID: 31816088 PMCID: PMC6901077 DOI: 10.1093/gigascience/giz143] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 09/10/2019] [Accepted: 11/10/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Mass spectrometry imaging is increasingly used in biological and translational research because it has the ability to determine the spatial distribution of hundreds of analytes in a sample. Being at the interface of proteomics/metabolomics and imaging, the acquired datasets are large and complex and often analyzed with proprietary software or in-house scripts, which hinders reproducibility. Open source software solutions that enable reproducible data analysis often require programming skills and are therefore not accessible to many mass spectrometry imaging (MSI) researchers. FINDINGS We have integrated 18 dedicated mass spectrometry imaging tools into the Galaxy framework to allow accessible, reproducible, and transparent data analysis. Our tools are based on Cardinal, MALDIquant, and scikit-image and enable all major MSI analysis steps such as quality control, visualization, preprocessing, statistical analysis, and image co-registration. Furthermore, we created hands-on training material for use cases in proteomics and metabolomics. To demonstrate the utility of our tools, we re-analyzed a publicly available N-linked glycan imaging dataset. By providing the entire analysis history online, we highlight how the Galaxy framework fosters transparent and reproducible research. CONCLUSION The Galaxy framework has emerged as a powerful analysis platform for the analysis of MSI data with ease of use and access, together with high levels of reproducibility and transparency.
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Affiliation(s)
- Melanie Christine Föll
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104 Freiburg, Germany
| | - Lennart Moritz
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
| | - Thomas Wollmann
- Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
| | - Maren Nicole Stillger
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- Faculty of Biology, University of Freiburg, Schänzlestraße 1, 79104 Freiburg, Germany
- Institute of Molecular Medicine and Cell Research, Faculty of Medicine, University of Freiburg, Stefan-Meier-Straße 17, 79104 Freiburg, Germany
| | - Niklas Vockert
- Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
| | - Martin Werner
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- Faculty of Medicine - University of Freiburg, Breisacher Straße 153, 79110 Freiburg, Germany
- Tumorbank Comprehensive Cancer Center Freiburg, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Hugstetter Straße 55, 79106 Freiburg, Germany
| | - Peter Bronsert
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- Faculty of Medicine - University of Freiburg, Breisacher Straße 153, 79110 Freiburg, Germany
- Tumorbank Comprehensive Cancer Center Freiburg, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Hugstetter Straße 55, 79106 Freiburg, Germany
| | - Karl Rohr
- Biomedical Computer Vision Group, BioQuant, IPMB, Heidelberg University, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany
| | - Björn Andreas Grüning
- Department of Computer Science, University of Freiburg, Georges-Köhler-Allee 106, 79110 Freiburg, Germany
| | - Oliver Schilling
- Institute of Surgical Pathology, Medical Center – University of Freiburg, Breisacher Straße 115a, 79106 Freiburg, Germany
- Faculty of Medicine - University of Freiburg, Breisacher Straße 153, 79110 Freiburg, Germany
- German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Hugstetter Straße 55, 79106 Freiburg, Germany
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