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Related Experiment Video

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Automated Chemical Sensing Unit Integration for Parallel Optical Interrogation.

Ana L Hernandez1, Fabian Dortu2, Theo Veenstra3

  • 1Centre for Biomedical Technology, Optics, Photonics and Biophotonics Laboratory, Campus Montegancedo, Universidad Politécnica de Madrid, 28223 Madrid, Spain. Ana.lopez@upm.es.

Sensors (Basel, Switzerland)
|February 23, 2019
PubMed
Summary

This study presents an automated optical sensing unit for simultaneous, in-situ detection of oceanic chemical pollutants using resonant nanopillars. The system achieved high sensitivity and real-time multiplexed measurements, demonstrating its potential for environmental monitoring.

Keywords:
automatic systemmicrofluidicsoptical sensorparallel detectionresonant nanopillarssensing

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Area of Science:

  • Environmental Science
  • Nanotechnology
  • Optical Sensing

Background:

  • Oceanic pollution monitoring requires sensitive, in-situ detection methods.
  • Existing technologies may lack the multiplexing capability for simultaneous analysis of diverse chemical pollutants.

Purpose of the Study:

  • To develop and demonstrate an automated optical sensing unit for parallel, in-situ detection of multiple chemical pollutants in oceanic waters.
  • To validate the performance of a novel sensing chip based on resonant nanopillars (R-NPs).

Main Methods:

  • Integration of an automated chemical optical sensing unit with a 12-channel spectrometer and an embedded computer-on-chip.
  • Design of a sensing chip with twelve biophotonic sensing cells (BICELLs) utilizing R-NP transducers.
  • Implementation of a microfluidic system with automated flow control for complex experimental protocols.

Main Results:

  • The system successfully performed parallel interrogation of 12 BICELLs, acquiring and analyzing 12 spectra simultaneously.
  • Demonstrated bulk sensitivity of 285.9 ± 16.4 nm/RIU and a Limit of Detection (LoD) of 2.95 × 10-6 RIUs.
  • Achieved real-time sensogram acquisition under continuous flow, showcasing the unit's multiplexed detection capability.

Conclusions:

  • The developed automated optical sensing unit shows high potential for in-situ, multiplexed, and automatic optical biosensing of chemical pollutants.
  • The R-NP based sensing chip offers a robust platform for simultaneous environmental monitoring.
  • This technology advances the capability for real-time assessment of oceanic water quality.