Combining a nanowire SERRS sensor and a target recycling reaction for ultrasensitive and multiplex identification of

Seung Min Yoo1, Taejoon Kang, Hyungchang Kang

  • 1Department of Chemical and Biomolecular Engineering, (BK21 Program), KAIST, Daejeon, 305-701, Korea.

Insights

A new sensor combines gold nanowires and DNA recycling for ultrasensitive pathogen detection. This rapid, multiplex method aids early infectious disease diagnosis and treatment, potentially saving lives.

Area of Science:

  • Nanotechnology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Early diagnosis of infectious diseases is critical for effective treatment and patient survival.
  • Current diagnostic methods may lack the required sensitivity, speed, or multiplexing capability for all pathogens.

Purpose of the Study:

  • To develop a rapid, sensitive, and multiplex pathogen DNA detection method.
  • To enhance pathogen DNA detection performance by combining a patterned gold nanowire (NW)-on-film surface-enhanced resonance Raman scattering (SERRS) sensor with an exonuclease III-assisted target DNA recycling reaction.

Main Methods:

  • Utilized a patterned gold nanowire (NW)-on-film SERRS sensor.
  • Incorporated an exonuclease III-assisted target DNA recycling reaction for signal amplification.
  • Detected the decrease in complementary probe DNA concentration via SERRS.
  • Achieved multiplex detection by positioning Au NWs at specific addresses.

Main Results:

  • Achieved an ultrasensitive detection limit of 100 femtomolar (fM), equivalent to 3 amole.
  • Demonstrated significant improvement in DNA detection performance through the combined sensor and recycling strategy.
  • Successfully identified multiple pathogen genomic DNAs in a single step using clinical samples.

Conclusions:

  • The developed SERRS sensor with target recycling offers a highly sensitive and multiplex platform for pathogen DNA detection.
  • This method shows significant potential for the practical and early diagnosis of infectious diseases.
  • The technology could improve patient outcomes by enabling timely and appropriate treatment.