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An online pH detection system based on a microfluidic chip.

Yu Lu1, Qianru Feng1, Ruohu Zhang1

  • 1Advanced Photonics Center, School of Electronic Science & Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.

Analytica Chimica Acta
|March 9, 2020
PubMed
Summary

A novel pH sensing chip monitors pH changes in harsh conditions. This system uses a m-Cresol purple membrane and artificial neural networks for accurate online detection.

Keywords:
Artificial neural networkHigh acidity and high alkalinityMicrofluidic chipOnline pH detection

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Area of Science:

  • Chemical Engineering
  • Materials Science
  • Analytical Chemistry

Background:

  • Online pH monitoring is crucial for industrial processes, especially in extreme acidic and alkaline environments.
  • Existing sensors often struggle with stability and accuracy under harsh conditions.

Purpose of the Study:

  • To develop a robust online pH detection system for harsh conditions.
  • To create a pH sensing chip with a fast response time and high stability.

Main Methods:

  • A microfluidic chip was fabricated by coating a pH sensing membrane (m-Cresol purple in polyvinyl alcohol) onto the chamber wall.
  • The system integrated a light source, pH sensing chip, and photodiode for optical detection.
  • A feed-forward artificial neural network (ANN) with error back-propagation was used for pH value readout.

Main Results:

  • The developed pH sensing chip operates effectively in the range of 5 M [H+]-pH 3.0 and pH 6.0-2 M [OH-].
  • The system demonstrated a response time of 90 seconds.
  • The system exhibited high stability, repeatability, reversibility, and a long lifetime, even with increasing ionic strength.

Conclusions:

  • The developed optical pH detection system offers a promising solution for real-time monitoring in challenging environments.
  • The use of a chemically immobilized sensing membrane and ANN provides a stable and accurate sensing platform.