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Integrated approach for data acquisition, visualization and processing of analog polarographic systems for bioenergetics studies.

Authors
  • L, Potter1
  • D, Krusienski2
  • J, Kennedy3
  • Cl, Hoppel4
  • N, Lai5
  • 1 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA; Biomedical Engineering Institute, Old Dominion University, Norfolk, VA, USA.
  • 2 Department of Biomedical Engineering Virginia Commonwealth University, Richmond, VA, USA.
  • 3 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA.
  • 4 Center for Mitochondrial Disease, School of Medicine, Case Western Reserve University, USA; Department of Pharmacology and School of Medicine, Case Western Reserve University, USA; Department of Medicine, School of Medicine, Case Western Reserve University, USA.
  • 5 Department of Electrical and Computer Engineering, Old Dominion University, Norfolk, VA, USA; Biomedical Engineering Institute, Old Dominion University, Norfolk, VA, USA; Department of Biomedical Engineering, School of Medicine, Case Western Reserve University, USA; Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, Italy. Electronic address: [email protected] , (Italy)
Type
Published Article
Journal
Analytical Biochemistry
Publisher
Elsevier
Publication Date
Dec 05, 2019
Volume
590
Pages
113515–113515
Identifiers
DOI: 10.1016/j.ab.2019.113515
PMID: 31812534
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Bioenergetic function is characterized with assays obtained by polarographic systems. Analog systems without data acquisition, visualization, and processing tools are used but require cumbersome operations to derive respiration rate and ADP to oxygen stoichiometry of oxidative phosphorylation (ADP/O ratio). The analog signal of a polarograhic system (YSI-5300) was digitized and a graphical user interface (GUI) was developed in MATLAB to integrate visualization, recording, calibration and processing of bioenergetic data. With the GUI, the signal is continuously visualized during the experiment and respiratory rates and ADP/O ratios can be determined. The integrated system was tested to evaluate bioenergetic function of subpopulations of mitochondria isolated from rat skeletal muscle (n = 10). Signal processing was applied to denoise data recorded at the sampling rate of 1000Hz, and maximize data decimation for computational applications. The error in calculating the bioenergetic outputs using decimated data is negligible when data are denoised. The estimate of respiration rate, ADP/O ratio and RCR obtained with denoised data at sampling rate as low as 5Hz was similar to that obtained with raw data recorded at sampling rate of 1000Hz. In summary, the integrated tools of the GUI overcome the limitations of data processing, accuracy, and utilization of analog polarographic systems. Copyright © 2019 Elsevier Inc. All rights reserved.

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