TY - JOUR
T1 - ExpFlow
T2 - a graphical user interface for automated reproducible electrochemistry
AU - Duke, Rebekah
AU - Mahmoudi, Siamak
AU - Kaur, Aman Preet
AU - Bhat, Vinayak
AU - Dingle, Ian C.
AU - Stumme, Nathan C.
AU - Shaw, Scott K.
AU - Eaton, David
AU - Vego, Asmund
AU - Risko, Chad
N1 - Publisher Copyright:
© 2024 RSC.
PY - 2023/12/5
Y1 - 2023/12/5
N2 - Reproducible data and results underpin the credibility and integrity of research findings across the sciences. However, experiments and measurements conducted across laboratories, or by different researchers, are often hindered by incomplete or inaccessible procedural data. Additionally, the time and resources needed to manually perform repeat experiments and analyses limit the scale at which experiments can be reproduced. Both improved methods for recording and sharing experimental procedures in machine-readable formats and efforts towards automation can be beneficial to circumvent these issues. Here we report the development of ExpFlow, a data collection, sharing, and reporting software currently customized for electrochemical experiments. The ExpFlow software allows researchers to systematically encode laboratory procedures through a graphical user interface that operates like a fill-in-the-blank laboratory notebook. Built-in calculators automatically derive properties such as diffusion coefficient and charge-transfer rate constant from uploaded data. Further, we deploy ExpFlow procedures with robotic hardware and software to perform cyclic voltammetry (CV) experiments in triplicate for eight well-known electroactive systems. The resulting oxidation potentials and diffusion coefficients are consistent with literature-reported values, validating our approach and demonstrating the utility of robotic experimentation in promoting reproducibility. Ultimately, these tools enable automated and (semi)autonomous cyclic voltammetry experiments and measurements that will facilitate high-throughput experimentation, reproducibility, and eventually data-driven electrochemical discovery.
AB - Reproducible data and results underpin the credibility and integrity of research findings across the sciences. However, experiments and measurements conducted across laboratories, or by different researchers, are often hindered by incomplete or inaccessible procedural data. Additionally, the time and resources needed to manually perform repeat experiments and analyses limit the scale at which experiments can be reproduced. Both improved methods for recording and sharing experimental procedures in machine-readable formats and efforts towards automation can be beneficial to circumvent these issues. Here we report the development of ExpFlow, a data collection, sharing, and reporting software currently customized for electrochemical experiments. The ExpFlow software allows researchers to systematically encode laboratory procedures through a graphical user interface that operates like a fill-in-the-blank laboratory notebook. Built-in calculators automatically derive properties such as diffusion coefficient and charge-transfer rate constant from uploaded data. Further, we deploy ExpFlow procedures with robotic hardware and software to perform cyclic voltammetry (CV) experiments in triplicate for eight well-known electroactive systems. The resulting oxidation potentials and diffusion coefficients are consistent with literature-reported values, validating our approach and demonstrating the utility of robotic experimentation in promoting reproducibility. Ultimately, these tools enable automated and (semi)autonomous cyclic voltammetry experiments and measurements that will facilitate high-throughput experimentation, reproducibility, and eventually data-driven electrochemical discovery.
UR - http://www.scopus.com/inward/record.url?scp=85179618794&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179618794&partnerID=8YFLogxK
U2 - 10.1039/d3dd00156c
DO - 10.1039/d3dd00156c
M3 - Article
AN - SCOPUS:85179618794
VL - 3
SP - 163
EP - 172
JO - Digital Discovery
JF - Digital Discovery
IS - 1
ER -