AI Article Synopsis

  • Building synthetic molecular circuits can lead to advancements in ion detection, information processing, and molecular computing, but implementing NOT logic with a single molecule input is challenging.
  • For the first time, a new approach using lambda exonuclease proposes a switching strategy that allows circuits to output opposite logic based on the presence or absence of a signal, with time-responsive features based on the order and timing of signals.
  • The design also includes a time-delay relay for delayed disconnection and output control, showcasing versatility by enabling the construction of more complex digital circuits, promising applications in information processing and nanomachines.

Article Abstract

Building synthetic molecular circuits is an important way to realize ion detection, information processing, and molecular computing. However, it is still challenging to implement the NOT logic controlled by a single molecule input in synthetic molecular circuits wherein the presence or absence of the molecule represents the ON or OFF state of the input. Here, based on lambda exonuclease (λ exo), for the first time, we propose the normally open (NO) and normally closed (NC) switching strategy with a unified signal transmission mechanism to build molecular circuits. Specifically, the opposite logic can be output with or without a single signal, and the state of the switch can be adjusted by the addition order and time interval of the upstream signal and switch signal, which endows the switch with time-responsive characteristics. In addition, a time-delay relay with the function of delayed disconnection is developed to realize quantitative control of outputs, which has the potential to meet the automation control need of the system. Finally, digital square and square root circuits are constructed by cascading the NO and NC switches, which demonstrates the versatility of switches. Our design can be extended to time logic and complex digital computing circuits for use in information processing and nanomachines.

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Source
http://dx.doi.org/10.1039/d3nr00427aDOI Listing

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