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Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data
[Image: see text] Electrochemical sensors are major players in the race for improved molecular diagnostics due to their convenience, temporal resolution, manufacturing scalability, and their ability to support real-time measurements. This is evident in the ever-increasing number of health-related el...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical
Society
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336365/ https://www.ncbi.nlm.nih.gov/pubmed/31462040 http://dx.doi.org/10.1021/acs.analchem.9b02553 |
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author | Curtis, Samuel D. Ploense, Kyle L. Kurnik, Martin Ortega, Gabriel Parolo, Claudio Kippin, Tod E. Plaxco, Kevin W. Arroyo-Currás, Netzahualcóyotl |
author_facet | Curtis, Samuel D. Ploense, Kyle L. Kurnik, Martin Ortega, Gabriel Parolo, Claudio Kippin, Tod E. Plaxco, Kevin W. Arroyo-Currás, Netzahualcóyotl |
author_sort | Curtis, Samuel D. |
collection | PubMed |
description | [Image: see text] Electrochemical sensors are major players in the race for improved molecular diagnostics due to their convenience, temporal resolution, manufacturing scalability, and their ability to support real-time measurements. This is evident in the ever-increasing number of health-related electrochemical sensing platforms, ranging from single-measurement point-of-care devices to wearable devices supporting immediate and continuous monitoring. In support of the need for such systems to rapidly process large data volumes, we describe here an open-source, easily customizable, multiplatform compatible program for the real-time control, processing, and visualization of electrochemical data. The software’s architecture is modular and fully documented, allowing the easy customization of the code to support the processing of voltammetric (e.g., square-wave and cyclic) and chronoamperometric data. The program, which we have called Software for the Analysis and Continuous Monitoring of Electrochemical Systems (SACMES), also includes a graphical interface allowing the user to easily change analysis parameters (e.g., signal/noise processing, baseline correction) in real-time. To demonstrate the versatility of SACMES we use it here to analyze the real-time data output by (1) the electrochemical, aptamer-based measurement of a specific small-molecule target, (2) a monoclonal antibody-detecting DNA-scaffold sensor, and (3) the determination of the folding thermodynamics of an electrode-attached, redox-reporter-modified protein. |
format | Online Article Text |
id | pubmed-7336365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | American Chemical
Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73363652020-07-06 Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data Curtis, Samuel D. Ploense, Kyle L. Kurnik, Martin Ortega, Gabriel Parolo, Claudio Kippin, Tod E. Plaxco, Kevin W. Arroyo-Currás, Netzahualcóyotl Anal Chem [Image: see text] Electrochemical sensors are major players in the race for improved molecular diagnostics due to their convenience, temporal resolution, manufacturing scalability, and their ability to support real-time measurements. This is evident in the ever-increasing number of health-related electrochemical sensing platforms, ranging from single-measurement point-of-care devices to wearable devices supporting immediate and continuous monitoring. In support of the need for such systems to rapidly process large data volumes, we describe here an open-source, easily customizable, multiplatform compatible program for the real-time control, processing, and visualization of electrochemical data. The software’s architecture is modular and fully documented, allowing the easy customization of the code to support the processing of voltammetric (e.g., square-wave and cyclic) and chronoamperometric data. The program, which we have called Software for the Analysis and Continuous Monitoring of Electrochemical Systems (SACMES), also includes a graphical interface allowing the user to easily change analysis parameters (e.g., signal/noise processing, baseline correction) in real-time. To demonstrate the versatility of SACMES we use it here to analyze the real-time data output by (1) the electrochemical, aptamer-based measurement of a specific small-molecule target, (2) a monoclonal antibody-detecting DNA-scaffold sensor, and (3) the determination of the folding thermodynamics of an electrode-attached, redox-reporter-modified protein. American Chemical Society 2019-08-29 2019-10-01 /pmc/articles/PMC7336365/ /pubmed/31462040 http://dx.doi.org/10.1021/acs.analchem.9b02553 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Curtis, Samuel D. Ploense, Kyle L. Kurnik, Martin Ortega, Gabriel Parolo, Claudio Kippin, Tod E. Plaxco, Kevin W. Arroyo-Currás, Netzahualcóyotl Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data |
title | Open Source Software for the Real-Time Control, Processing,
and Visualization of High-Volume Electrochemical Data |
title_full | Open Source Software for the Real-Time Control, Processing,
and Visualization of High-Volume Electrochemical Data |
title_fullStr | Open Source Software for the Real-Time Control, Processing,
and Visualization of High-Volume Electrochemical Data |
title_full_unstemmed | Open Source Software for the Real-Time Control, Processing,
and Visualization of High-Volume Electrochemical Data |
title_short | Open Source Software for the Real-Time Control, Processing,
and Visualization of High-Volume Electrochemical Data |
title_sort | open source software for the real-time control, processing,
and visualization of high-volume electrochemical data |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336365/ https://www.ncbi.nlm.nih.gov/pubmed/31462040 http://dx.doi.org/10.1021/acs.analchem.9b02553 |
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