4.5 Article

BIO-INSPIRED MAGNETIC BEADS FOR ISOLATION OF SPERM FROM HETEROGENOUS SAMPLES IN FORENSIC APPLICATIONS

Journal

FORENSIC SCIENCE INTERNATIONAL-GENETICS
Volume 52, Issue -, Pages -

Publisher

ELSEVIER IRELAND LTD
DOI: 10.1016/j.fsigen.2020.102451

Keywords

Sialyl-Lewis(X); Magnetic beads; Bio-inspired material; Cell separation; Forensics

Funding

  1. National Institute of Justice, United States [2019-NE-BX-0003, 2020-NE-BX-0004]
  2. Scientific and Technical Research Council of Turkey (TUBITAK)

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The new technique presented in the study leverages a bio-inspired oligosaccharide integrated with magnetic beads to provide a rapid, inexpensive, and user-friendly strategy for isolating sperm. The platform offers selective sperm capture, sensitivity within forensic cut-off, cost-effective solution, automation compatibility, and ability to handle small sample volumes, ultimately accelerating forensic investigation and reducing casework backlogs.
Rapid and efficient processing of sexual assault evidence will accelerate forensic investigation and decrease casework backlogs. The standardized protocols currently used in forensic laboratories require the continued innovation to handle the increasing number and complexity of samples being submitted to forensic labs. Here, we present a new technique leveraging the integration of a bio-inspired oligosaccharide (i.e., Sialyl-Lewis(X)) with magnetic beads that provides a rapid, inexpensive, and easy-to-use strategy that can potentially be adapted with current differential extraction practice in forensics labs. This platform (i) selectively captures sperm; (ii) is sensitive within the forensic cut-off; (iii) provides a cost effective solution that can be automated with existing laboratory platforms; and (iv) handles small volumes of sample (similar to 200 mu L). This strategy can rapidly isolate sperm within 25 minutes of total processing that will prepare the extracted sample for downstream forensic analysis and ultimately help accelerate forensic investigation and reduce casework backlogs.

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