High-resolution Arduino-based data acquisition devices for microscale separation systems.
Petra Itterheimová1, František Foret1, Petr Kubáň1
1Department of Bioanalytical Instrumentation, Institute of Analytical Chemistry, Academy of Sciences of the Czech Republic, Veveří 97, 602 00, Brno, Czech Republic.
Analytica Chimica Acta
|March 14, 2021
Summary
Researchers developed low-cost, open-source data acquisition systems using Arduino microcontrollers and analog-to-digital converters. These systems offer performance comparable to commercial devices, enabling accessible analytical chemistry applications.
Area of Science:
- Analytical Chemistry
- Instrumentation
- Open-Source Hardware
Background:
- Commercial data acquisition systems can be expensive and inaccessible for many laboratories.
- There is a need for cost-effective and user-friendly instrumentation for analytical chemists.
Purpose of the Study:
- To design, construct, and evaluate simple, inexpensive open-source data acquisition systems.
- To provide analytical chemists with accessible, high-performance instrumentation.
Main Methods:
- Utilized Arduino Nano microcontroller with various analog-to-digital converter modules (ADS 1115, MCP 3424, LTC 2400).
- Developed systems with resolutions ranging from 16 to 24-bit.
- Provided full schematics and source codes for easy construction.
Main Results:
- Achieved excellent performance comparable to commercial 24-bit devices.
- The LTC 2400-based system demonstrated performance rivaling a high-end commercial converter (ORCA 2800).
- The developed system cost less than 50 USD, significantly lower than the commercial counterpart (870 USD).
Conclusions:
- The open-source data acquisition systems offer a cost-effective and high-performance alternative to commercial solutions.
- These systems are suitable for analytical chemistry applications, as validated by capillary electrophoresis with contactless conductivity detection.
- The project empowers analytical chemists by providing accessible, well-documented instrumentation for inorganic ion separation.
Keywords:
ArduinoCapillary electrophoresisData acquisitionMicroscale separationsOpen source hardware and software

