Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143474
Title: Colorimetric detection of salivary α‑amylase using maltose as a noncompetitive inhibitor for polysaccharide cleavage
Authors: Tsyrulneva, Iuna
Alagappan, Palaniappan
Liedberg, Bo
Keywords: Engineering::Mechanical engineering
Issue Date: 2019
Source: Tsyrulneva, I., Alagappan, P., & Liedberg, B. (2019). Colorimetric detection of salivary α‑amylase using maltose as a noncompetitive inhibitor for polysaccharide cleavage. ACS Sensors, 4(4), 865-873. doi:10.1021/acssensors.8b01343
Journal: ACS Sensors
Abstract: This paper describes an approach for colorimetric detection of salivary α-amylase, one of the potential biomarkers of autonomic nervous system (ANS) activity, for enabling assessment of fatigue. The ability of α-amylase to cleave α-bonds of polysaccharides is utilized for developing a colorimetric assay. In the proposed approach, 2-chloro-4-nitrophenyl-α-d-maltotrioside as substrate releases a colored byproduct upon cleavage by salivary α-amylase. Introduction of maltose as a noncompetitive inhibitor yields desirable linear responses in the physiologically relevant concentration range (20–500 μg/mL) with a limit of detection (LOD) of 8 μg/mL (in aqueous solution). The concentrations of substrate and noncompetitive inhibitor are subsequently optimized for colorimetric detection of salivary α-amylase. A facile paper-based “strip” assay is proposed for analysis of human saliva samples with marginal interference from saliva components. The proposed assay is rapid, specific, and easy-to-implement for colorimetric detection of salivary α-amylase between 20 and 500 μg/mL. Complementary RGB (red, green, blue components) analysis offers quantitative detection with a LOD of 11 μg/mL. The two assay formats are benchmarked against the Phadebas test, a state of the art method for spectrophotometric detection of α-amylase. The reported paper-based methodology possesses a high potential for estimation of altered ANS responses toward stressors that possibly could find applications in assessment of fatigue and for monitoring onset of fatigue.
URI: https://hdl.handle.net/10356/143474
ISSN: 2379-3694
DOI: 10.1021/acssensors.8b01343
Rights: This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Sensors, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acssensors.8b01343
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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