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Bonyi E, Constance E, Kukoyi Z, et al. Rapid Sensing of Biological and Environmental Analytes Using Microwave-Accelerated Bioassays and a MATLAB Application. Nano Biomed Eng. 2019;11(2):111-123doi: 10.5101/nbe.v11i2.p111-123.
Bonyi, E., Constance, E., Kukoyi, Z., Jafar, S., & Aslan, K. (2019). Rapid Sensing of Biological and Environmental Analytes Using Microwave-Accelerated Bioassays and a MATLAB Application. Nano biomedicine and engineering, 11(2), 111-123. https://doi.org/10.5101/nbe.v11i2.p111-123
Bonyi, Enock, et al. "Rapid Sensing of Biological and Environmental Analytes Using Microwave-Accelerated Bioassays and a MATLAB Application." Nano biomedicine and engineering vol. 11,2 (2019): 111-123. doi: https://doi.org/10.5101/nbe.v11i2.p111-123
Bonyi E, Constance E, Kukoyi Z, Jafar S, Aslan K. Rapid Sensing of Biological and Environmental Analytes Using Microwave-Accelerated Bioassays and a MATLAB Application. Nano Biomed Eng. 2019;11(2):111-123. doi: 10.5101/nbe.v11i2.p111-123. Epub 2019 Apr 15. PMID: 31565490; PMCID: PMC6764453.
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Nano Biomed Eng. 2019;11(2):111-123. doi: 10.5101/nbe.v11i2.p111-123. Epub 2019 Apr 15.

Rapid Sensing of Biological and Environmental Analytes Using Microwave-Accelerated Bioassays and a MATLAB Application.

Nano biomedicine and engineering

Enock Bonyi, Edward Constance, Zeenat Kukoyi, Sanjeeda Jafar, Kadir Aslan

Affiliations

  1. Department of Civil Engineering, Morgan State University, 1700 East Cold Spring Lane, Baltimore, Maryland 21251, USA.
  2. Department of Biology, Morgan State University, 1700 East Cold Spring Lane, Baltimore, Maryland 21251, USA.

PMID: 31565490 PMCID: PMC6764453 DOI: 10.5101/nbe.v11i2.p111-123

Abstract

We report a method for rapid detection and analysis of biological and environmental analytes by microwave-accelerated bioassays (MABs) and a novel MATLAB-based image processing of colorimetric signals. In this regard, colorimetric bioassays for histidine-rich protein 2 (HRP-2) and microcystin-leucine arginine (MC-LR) toxin were carried out using MABs and without microwave heating (i.e, gold standard bioassays). Our MATLAB-based detection method is based on the direct correlation of color intensity of a solution calculated from images captured with a smartphone with the concentration of the biomolecule of interest using a MATLAB code developed in-house. We demonstrated that our MATLAB-based detection method can yield bioassay sensitivity comparable to the colorimetric gold standard tool, i.e., UV-Visible spectroscopy. In addition, colorimetric bioassay time for the HRP-2 assay (used in malaria diagnosis) and colorimetric MC-LR bioassay (used in MCLR toxin diagnosis) was reduced from up to 2 hours at room temperature without microwave heating to 15 minutes using the MABs technique.

Keywords: Analyte; Colorimetric bioassays; MATLAB; Microwave heating; Microwave-accelerated bioassays

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