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Cascade Structured Plasmonic Liquid Crystal Biosensor for the Rapid Detection of Harmful Bacteria Dispersed in Potable Water

  • Maria Laura Sforza
  • , Francesca Petronella*
  • , Daniela De Biase
  • , Federica Zaccagnini
  • , Seok In Lim
  • , Usman Akhtar Butt
  • , Antonio d'Alessandro
  • , Nicholas P. Godman
  • , Dean R. Evans
  • , Michael McConney
  • , Kwang Un Jeong
  • , Luciano De Sio*
  • *Corresponding author for this work
  • University of Rome La Sapienza
  • National Research Council of Italy
  • Jeonbuk National University
  • Wright-Patterson AFB

Research output: Contribution to journalJournal articlepeer-review

Abstract

Pathogenic microorganisms contaminating potable water are a serious water quality concern because they have severe consequences for human and environmental health. Managing water contamination requires the availability of fast and highly sensitive point-of-use detection systems responsive to a wide concentration range. In the present work, this goal is achieved by realizing a cascade-structured biosensor that exploits innovative stimuli-responsive materials such as gold nanorods (AuNRs) and photosensitive nematic liquid crystals (NLCs). The cascade structure is fabricated by interfacing a glass substrate in a back-to-front arrangement, hosting an array of bioactivated AuNRs and an NLC cell. The AuNRs array integrates microfluidic channels, allowing direct water sampling and the analysis of reduced water volumes with high sensitivity. The biosensor combines in the same device two independent optical transducers: a bioactive AuNRs array (plasmonic biosensor), sensitive to refractive index alterations, and an NLC cell that detects the presence of pathogens by responding to light intensity variations. The plasmonic biosensor performs exceptionally well for very low concentrations of bacteria. In contrast, the NLC biosensor works for high-concentration bacteria, thus providing a cascade-like detection system able to detect bacteria in a wide concentration range from 10 to 109 CFU mL−1.

Original languageEnglish
Article number2300201
JournalAdvanced Sensor Research
Volume3
Issue number8
DOIs
StatePublished - 2024.08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation

Keywords

  • biosensors
  • liquid crystals
  • pathogens
  • plasmonics
  • water

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