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@article{1840484,
author = {Itterheimová, Petra and Foret, František and Kubáň, Petr},
article_location = {Amsterdam},
article_number = {April},
doi = {http://dx.doi.org/10.1016/j.aca.2021.338294},
keywords = {Open source hardware and software; Arduino; Data acquisition; Microscale separations; Capillary electrophoresis},
language = {eng},
issn = {0003-2670},
journal = {Analytica Chimica Acta},
title = {High-resolution Arduino-based data acquisition devices for microscale separation systems},
url = {https://www.sciencedirect.com/science/article/pii/S0003267021001203},
volume = {1153},
year = {2021}
}
TY - JOUR
ID - 1840484
AU - Itterheimová, Petra - Foret, František - Kubáň, Petr
PY - 2021
TI - High-resolution Arduino-based data acquisition devices for microscale separation systems
JF - Analytica Chimica Acta
VL - 1153
IS - April
SP - 338294
EP - 338294
PB - Elsevier Science
SN - 00032670
KW - Open source hardware and software
KW - Arduino
KW - Data acquisition
KW - Microscale separations
KW - Capillary electrophoresis
UR - https://www.sciencedirect.com/science/article/pii/S0003267021001203
N2 - In this work, we have designed, constructed, and evaluated simple, inexpensive open-source data acquisition systems based on various analog-to-digital converter modules (ADS 1115, MCP 3424, LTC 2400, with resolution from 16 to 24-bit) and a miniature Arduino Nano TM microcontroller. The con-structed data acquisition systems provide excellent performance and are comparable to a commercial, 24-bit device. We provide full schematics and corresponding source codes so that analytical chemists can easily construct any of the developed systems without extensive electronic or programming knowledge. The 24-bit LTC 2400 based device provided the best and comparable performance to a commercial, high -end 24-bit sigma to delta converter (ORCA 2800) at a fraction of cost (less than 50 USD compared to 870 USD for the commercial counterpart). The excellent performance was verified using a capillary elec-trophoresis system with contactless conductivity detection and separation of inorganic ions in clinical skin wipe and tap water samples.
ER -
ITTERHEIMOVÁ, Petra, František FORET a Petr KUBÁŇ. High-resolution Arduino-based data acquisition devices for microscale separation systems. \textit{Analytica Chimica Acta}. Amsterdam: Elsevier Science, 2021, roč.~1153, April, s.~338294-338300. ISSN~0003-2670. Dostupné z: https://dx.doi.org/10.1016/j.aca.2021.338294.
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