Rapid Microchip Electrophoretic Separation of Novel Transcriptomic Body Fluid Markers for Forensic Fluid Profiling.

body fluid identification electrophoresis fluorescence forensic messenger RNA microfluidics

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
01 Oct 2022
Historique:
received: 23 08 2022
revised: 14 09 2022
accepted: 16 09 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 28 10 2022
Statut: epublish

Résumé

Initial screening of criminal evidence often involves serological testing of stains of unknown composition and/or origin discovered at a crime scene to determine the tissue of origin. This testing is presumptive but critical for contextualizing the scene. Here, we describe a microfluidic approach for body fluid profiling via fluorescent electrophoretic separation of a published mRNA panel that provides unparalleled specificity and sensitivity. This centrifugal microfluidic approach expedites and automates the electrophoresis process by allowing for simple, rotationally driven flow and polymer loading through a 5 cm separation channel; with each disc containing three identical domains, multi-sample analysis is possible with a single disc and multi-sample detection per disc. The centrifugal platform enables a series of sequential unit operations (metering, mixing, aliquoting, heating, storage) to execute automated electrophoretic separation. Results show on-disc fluorescent detection and sizing of amplicons to perform comparably with a commercial 'gold standard' benchtop instrument and permitted sensitive, empirical discrimination between five distinct body fluids in less than 10 min. Notably, our microfluidic platform represents a faster, simpler method for separation of a transcriptomic panel to be used for forensically relevant body fluid identification.

Identifiants

pubmed: 36296010
pii: mi13101657
doi: 10.3390/mi13101657
pmc: PMC9609788
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Tiffany R Layne (TR)

Department of Chemistry, University of Virginia, Charlottesville, VA 22939, USA.

Renna L Nouwairi (RL)

Department of Chemistry, University of Virginia, Charlottesville, VA 22939, USA.

Rachel Fleming (R)

Institute of Environmental Science and Research Limited, Auckland 1025, New Zealand.

Haley Blair (H)

Department of Chemistry, University of Virginia, Charlottesville, VA 22939, USA.

James P Landers (JP)

Department of Chemistry, University of Virginia, Charlottesville, VA 22939, USA.

Classifications MeSH