3 research outputs found
Extended Linear Response for Bioanalytical Applications Using Multiple Enzymes
We develop a framework for optimizing a novel approach
to extending
the linear range of bioanalytical systems and biosensors by utilizing
two enzymes with different kinetic responses to the input chemical
as their substrate. Data for the flow injection amperometric system
devised for detection of lysine based on the function of l-lysine-alpha-oxidase and lysine-2-monooxygenase are analyzed. Lysine
is a homotropic substrate for the latter enzyme. We elucidate the
mechanism for extending the linear response range and develop optimization
techniques for future applications of such systems
Realization of Associative Memory in an Enzymatic Process: Toward Biomolecular Networks with Learning and Unlearning Functionalities
We report a realization of an associative memory signal/information
processing system based on simple enzyme-catalyzed biochemical reactions.
Optically detected chemical output is always obtained in response
to the triggering input, but the system can also ālearnā
by association, to later respond to the second input if it is initially
applied in combination with the triggering input as the ātrainingā
step. This second chemical input is not self-reinforcing in the present
system, which therefore can later āunlearnā to react
to the second input if it is applied several times on its own. Such
processing steps realized with (bio)Āchemical kinetics promise applications
of bioinspired/memory-involving components in ānetworkedā
(concatenated) biomolecular processes for multisignal sensing and
complex information processing
Biomolecular Filters for Improved Separation of Output Signals in Enzyme Logic Systems Applied to Biomedical Analysis
Biomolecular logic systems processing biochemical input signals and producing ādigitalā outputs in the form of YES/NO were developed for analysis of physiological conditions characteristic of liver injury, soft tissue injury, and abdominal trauma. Injury biomarkers were used as input signals for activating the logic systems. Their normal physiological concentrations were defined as logic-0 level, while their pathologically elevated concentrations were defined as logic-1 values. Since the input concentrations applied as logic 0 and 1 values were not sufficiently different, the output signals being at low and high values (0, 1 outputs) were separated with a short gap making their discrimination difficult. Coupled enzymatic reactions functioning as a biomolecular signal processing system with a built-in filter property were developed. The filter process involves a partial back-conversion of the optical-output-signal-yielding product, but only at its low concentrations, thus allowing the proper discrimination between 0 and 1 output values