An automated instrument for human STRidentification: Design, characterization, and experimental validation

Cedric Hurth, Stanley D. Smith, Alan R. Nordquist, Ralf Lenigk, Brett Duane, David Nguyen, Amol Surve, Andrew J. Hopwood, Matthew D. Estes, Jianing Yang, Zhi Cai, Xiaojia Chen, John G. Lee-Edghill, Nina Moran, Keith Elliott, Gillian Tully, Frederic Zenhausern

Research output: Contribution to journalArticle

27 Scopus citations

Abstract

The microfluidic integration of an entire DNA analysis workflow on a fully integrated miniaturized instrument is reported using lab-on-a-chip automation to perform DNA fingerprinting compatible with CODIS standard relevant to the forensic community. The instrument aims to improve the cost, duration, and ease of use to perform a "sample-to-profile" analysis with no need for human intervention. The present publication describes the operation of the three major components of the system: the electronic control components, the microfluidic cartridge and CE microchip, and the optical excitation/detection module. Experimental details are given to characterize the level of performance, stability, reliability, accuracy, and sensitivity of the prototype system. A typical temperature profile from a PCR amplification process and an electropherogram of a commercial size standard (GeneScan 500™, Applied Biosystems) separation are shown to assess the relevance of the instrument to forensic applications. Finally, we present a profile from an automated integrated run where lysed cells from a buccal swab were introduced in the system and no further human intervention was required to complete the analysis.

Original languageEnglish (US)
Pages (from-to)3510-3517
Number of pages8
JournalELECTROPHORESIS
Volume31
Issue number21
DOIs
StatePublished - Oct 1 2010

Keywords

  • DNA STR typing
  • Instrumentation
  • Microfluidics

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry
  • Clinical Biochemistry

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    Hurth, C., Smith, S. D., Nordquist, A. R., Lenigk, R., Duane, B., Nguyen, D., Surve, A., Hopwood, A. J., Estes, M. D., Yang, J., Cai, Z., Chen, X., Lee-Edghill, J. G., Moran, N., Elliott, K., Tully, G., & Zenhausern, F. (2010). An automated instrument for human STRidentification: Design, characterization, and experimental validation. ELECTROPHORESIS, 31(21), 3510-3517. https://doi.org/10.1002/elps.201000305