SACMES
SACMES processes and monitors high-volume electrochemical data in real time for analysis of voltammetric (square-wave, cyclic) and chronoamperometric sensor measurements across point-of-care and wearable platforms.
Key Features:
- Modular architecture: A modular design that enables extension and customization of processing components for different electrochemical workflows.
- Real-time processing and dynamic parameter adjustment: Real-time data processing with support for dynamic adjustment of analysis parameters including signal/noise processing and baseline correction.
- Support for diverse electrochemical techniques: Native handling of voltammetric data (square-wave and cyclic voltammetry) and chronoamperometric measurements.
- Continuous and single-measurement data handling: Capable of processing both continuous monitoring (wearable) and single-measurement point-of-care electrochemical datasets at high volume.
Scientific Applications:
- Aptamer-based measurements: Real-time analysis of electrochemical signals from aptamer-based sensors for small-molecule detection.
- Monoclonal antibody detection: Processing data from DNA-scaffold sensors used to detect monoclonal antibodies in immunological assays.
- Protein folding thermodynamics: Analysis of folding thermodynamics for redox-reporter-modified proteins attached to electrodes.
Methodology:
Real-time control, processing, and visualization of electrochemical data; signal/noise processing and baseline correction; handling of voltammetric (square-wave, cyclic) and chronoamperometric data.
Topics
Details
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 12/16/2020
Operations
Publications
Curtis SD, Ploense KL, Kurnik M, Ortega G, Parolo C, Kippin TE, Plaxco KW, Arroyo-Currás N. Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data. Analytical Chemistry. 2019;91(19):12321-12328. doi:10.1021/acs.analchem.9b02553. PMID:31462040. PMCID:PMC7336365.