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[Studies on a sequential injection renewable surface reflectance spectrophotometric system using a microchip flow

Jian-ya Wang1, Zhao-lun Fang

  • 1Research Center for Analytical Science, Northeastern University, Shenyang 110004, China.

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 28, 2003
PubMed
Summary

A novel microchip flow cell enables renewable surface assays using reflectance spectrophotometry. This system achieves high throughput and sensitivity for detecting contaminants like chromium (VI).

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Area of Science:

  • Analytical Chemistry
  • Spectroscopy
  • Microfluidics

Context:

  • Flow injection analysis (FIA) and sequential injection analysis (SIA) are widely used for chemical sensing.
  • Developing miniaturized and efficient flow cells is crucial for improving assay performance and reducing reagent consumption.
  • Renewable surface assays offer advantages in terms of reusability and sustained sensitivity.

Purpose:

  • To design and optimize a microchip flow cell for flow injection renewable surface assays.
  • To couple the flow cell with a sequential injection system and optical fiber photometric detection.
  • To evaluate the performance of the developed system for the determination of chromium (VI) using a model reaction.

Summary:

  • A three-layer microchip flow cell was fabricated with a silicone rubber membrane containing the flow channel and a porous filter to immobilize microbeads.

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  • The flow cell was integrated into a sequential injection system with optical fiber photometry for reflectance spectrophotometry.
  • A model reaction involving chromium (VI) and 1,5-diphenylcarbohydrazide (DPC) adsorbed on microbeads was used for optimization, achieving a linear range of 0-0.6 µg/mL, detection limit of 6 ng/mL, and a throughput of 64 samples/hour.

    • Impact:

    • The developed microchip flow cell offers a sensitive, precise, and high-throughput platform for renewable surface assays.
    • This technology has potential applications in environmental monitoring and chemical analysis where rapid and reliable detection is required.
    • Optimization of flow cell design parameters, such as bead layer depth and flow rates, significantly influences assay performance.