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Integrating Maker Technology with Research: DIY Continuous Flow Colorimetric Detector with Integrated Data

Adam Ee Xian Loh1, Kheng Soo Tay2

  • 1Department of Chemistry, Faculty of Science, Universiti Malaya, Kuala Lumpur, Malaysia.

Methods in Molecular Biology (Clifton, N.J.)
|July 9, 2026
PubMed
Summary
This summary is machine-generated.

This study presents a low-cost continuous flow analysis system using 3D printing and open-source electronics for real-time chemical monitoring. The system effectively detects colorimetric changes while automatically filtering out signal interferences.

Keywords:
AS7341 sensorArduinoBubble correctionColorimetric detectionDIY analytical instrumentsFlow injection analysisOpen-source hardwarePeristaltic pumpSolenoid valve

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Area of Science:

  • Analytical Chemistry
  • Instrumentation Science
  • Open-Source Technology

Background:

  • Continuous Flow Analysis (CFA) enables real-time chemical monitoring but is often limited by high costs and complexity.
  • Commercial CFA systems present barriers to adoption in many research and educational settings.

Purpose of the Study:

  • To develop a practical, low-cost, and reproducible continuous flow colorimetric detection system.
  • To integrate open-source electronics, 3D-printed components, and custom software for enhanced functionality.

Main Methods:

  • Utilized a peristaltic pump, Arduino-controlled solenoid valve, and AS7341 visible light sensor with a flow-through cuvette.
  • Developed a Python-based algorithm for real-time absorbance data processing and artifact exclusion.
  • Employed 3D printing for custom component fabrication, ensuring modularity and reproducibility.

Main Results:

  • Successfully created a functional low-cost continuous flow colorimetric detection system.
  • The integrated algorithm effectively identified and excluded interference-induced signal artifacts.
  • Demonstrated the system's capability for low-cost detection of colorimetric changes in flowing samples.

Conclusions:

  • The developed system offers a viable, affordable alternative to commercial CFA platforms.
  • Its modularity, reproducibility, and artifact-filtering capabilities make it suitable for diverse applications, including education and low-resource environments.
  • This approach democratizes access to real-time chemical analysis tools.