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.
Keywords: colorimetric detection; maltotrioside; noncompetitive inhibitor; paper-based strip; α-amylase.