Kinetic spectroscopic quantification using two-step chromogenic and fluorogenic reactions: From theoretical modeling to experimental quantification of biomarkers in practical samples

Kinetic chromogenic (CG) and fluorogenic (FG) quantification deduces analyte concentration based on the reaction rate between the CG/FG probe and its targeted molecule. Little progress has been made in the past half century in either the theory or the applications of the kinetic spectroscopic quantification methods. Current kinetic CG/FG quantification is limited only to a subset of CG/FG reactions that can be approximated as the single-step process, and more problematically, to research samples with no matrix interferences. Reported herein is a kinetic quantification model established for multistep CG/FG reactions and a proof-of-concept demonstration of direct kinetic FG quantification of biomarkers in practical samples. The kinetic spectral intensity of the CG/FG reactions with two rate-limiting steps comprises three temporal regions: an accelerating period where rate of signal change is increasingly rapid, a linear region where the rate of signal change is approximately constant, and a deceleration region where the rate of signal increase becomes progressively small. Kinetic quantification is performed through simple linear-curve-fitting of the kinetic signal in its linear time-course region. The theoretical model is validated with the dual CG/FG 2-thiobarbituric acid (TBA) and malondialdehyde (MDA) reaction. Proof-of-concept kinetic spectroscopic quantification of analytes in practical samples is demonstrated with the FG quantification of MDA in canned chicken. The only sample preparation is bench-top centrifugation followed by two sequential syringe filtrations. The total kinetic FG assay time is less than 10 min, more than 10 times more efficient than the current equilibrium-based MDA assay. The theoretical model and the measurement design strategies offered by this work should help transform the current kinetic spectroscopic quantification from a niche research tool to an indispensable technique for time-sensitive applications.