Direct analysis of textile dyes from trace fibers by automated microfluidics extraction system coupled with Q-TOF mass spectrometer for forensic applications
[Display omitted] •Automated microfluidics extraction device directly coupled to a mass spectrometer.•Dyes automatically extracted and identified in trace fibers in under 12min.•Multiple dyes were successfully analyzed from millimeter length fiber threads.•Similar colored dyes were successfully diff...
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Veröffentlicht in: | Forensic science international 2018-08, Vol.289, p.67-74 |
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Sprache: | eng |
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•Automated microfluidics extraction device directly coupled to a mass spectrometer.•Dyes automatically extracted and identified in trace fibers in under 12min.•Multiple dyes were successfully analyzed from millimeter length fiber threads.•Similar colored dyes were successfully differentiated from single fibers.
Textile fiber is a common form of transferable trace evidence at the crime scene. Different techniques such as microscopy or spectroscopy are currently being used for trace fiber analysis. Dye characterization in trace fiber adds an important molecular specificity during the analysis. In this study, we performed a direct trace fiber analysis method via dye characterization by a novel automated microfluidics device (MFD) dye extraction system coupled with a quadrupole-time-of-flight (Q-TOF) mass spectrometer (MS). The MFD system used an in-house made automated procedure which requires only 10μL of organic solvent for the extraction. The total extraction and identification time by the system is under 12min. A variety of sulfonated azo and anthraquinone dyes were analyzed from ∼1mm length nylon fiber samples. This methodology successfully characterized multiple dyes (≥3 dyes) from a single fiber thread. Additionally, it was possible to do dye characterization from single fibers with a diameter of ∼10μm. The MFD-MS system was used for elemental composition and isotopic distribution analysis where MFD-MS/MS was used for structural characterization of dyes on fibers. |
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ISSN: | 0379-0738 1872-6283 |
DOI: | 10.1016/j.forsciint.2018.05.020 |