Literature DB >> 20464382

Digital biosensors with built-in logic for biomedical applications--biosensors based on a biocomputing concept.

Joseph Wang1, Evgeny Katz.   

Abstract

This article reviews biomolecular logic systems for bioanalytical applications, specifically concentrating on the prospects and fundamental and practical challenges of designing digitally operating biosensors logically processing multiple biochemical signals. Such digitally processed information produces a final output in the form of a yes/no response through Boolean logic networks composed of biomolecular systems, and hence leads to a high-fidelity biosensing compared with traditional single (or parallel) sensing devices. It also allows direct coupling of the signal processing with chemical actuators to produce integrated "smart" "sense/act" (biosensor-bioactuator) systems. Unlike common biosensing devices based on a single input (analyte), devices based on biochemical logic systems require a fundamentally new approach for the sensor design and operation and careful attention to the interface of biocomputing systems and electronic transducers. As common in conventional biosensors, the success of the enzyme logic biosensor would depend, in part, on the immobilization of the biocomputing reagent layer. Such surface confinement provides a contact between the biocomputing layer and the transducing surface and combines efficiently the individual logic-gate elements. Particular attention should thus be given to the composition, preparation, and immobilization of the biocomputing surface layer, to the role of the system scalability, and to the efficient transduction of the output signals. By processing complex patterns of multiple physiological markers, such multisignal digital biosensors should have a profound impact upon the rapid diagnosis and treatment of diseases, and particularly upon the timely detection and alert of medical emergencies (along with immediate therapeutic intervention). Other fields ranging from biotechnology to homeland security would benefit from these advances in new biocomputing biosensors and the corresponding closed-loop "add/act" operation.

Mesh:

Year:  2010        PMID: 20464382     DOI: 10.1007/s00216-010-3746-0

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  13 in total

1.  Employing the metabolic "branch point effect" to generate an all-or-none, digital-like response in enzymatic outputs and enzyme-based sensors.

Authors:  Sandra Perez Rafael; Alexis Vallée-Bélisle; Esteve Fabregas; Kevin Plaxco; Giuseppe Palleschi; Francesco Ricci
Journal:  Anal Chem       Date:  2011-12-28       Impact factor: 6.986

2.  Development of a DNA sensor using a molecular logic gate.

Authors:  D Bhattacharjee; Dibyendu Dey; S Chakraborty; Syed Arshad Hussain; S Sinha
Journal:  J Biol Phys       Date:  2013-02-09       Impact factor: 1.365

3.  Design of a biochemical circuit motif for learning linear functions.

Authors:  Matthew R Lakin; Amanda Minnich; Terran Lane; Darko Stefanovic
Journal:  J R Soc Interface       Date:  2014-12-06       Impact factor: 4.118

4.  Quantitative and rapid detection of morphine and hydromorphone at the point of care by an automated giant magnetoresistive nanosensor platform.

Authors:  Dana L Cortade; Shan X Wang
Journal:  Anal Bioanal Chem       Date:  2022-08-19       Impact factor: 4.478

5.  Signal propagation in multi-layer DNAzyme cascades using structured chimeric substrates.

Authors:  Carl W Brown; Matthew R Lakin; Eli K Horwitz; M Leigh Fanning; Hannah E West; Darko Stefanovic; Steven W Graves
Journal:  Angew Chem Int Ed Engl       Date:  2014-06-02       Impact factor: 15.336

6.  Rapid engineering of versatile molecular logic gates using heterologous genetic transcriptional modules.

Authors:  Baojun Wang; Martin Buck
Journal:  Chem Commun (Camb)       Date:  2014-10-11       Impact factor: 6.222

Review 7.  Biosensors with built-in biomolecular logic gates for practical applications.

Authors:  Yu-Hsuan Lai; Sin-Cih Sun; Min-Chieh Chuang
Journal:  Biosensors (Basel)       Date:  2014-08-27

8.  Design of Flow Systems for Improved Networking and Reduced Noise in Biomolecular Signal Processing in Biocomputing and Biosensing Applications.

Authors:  Arjun Verma; Brian E Fratto; Vladimir Privman; Evgeny Katz
Journal:  Sensors (Basel)       Date:  2016-07-05       Impact factor: 3.576

9.  Molecular Buffers Permit Sensitivity Tuning and Inversion of Riboswitch Signals.

Authors:  Peter Rugbjerg; Hans Jasper Genee; Kristian Jensen; Kira Sarup-Lytzen; Morten Otto Alexander Sommer
Journal:  ACS Synth Biol       Date:  2016-05-03       Impact factor: 5.110

10.  Construction of Multiple Switchable Sensors and Logic Gates Based on Carboxylated Multi-Walled Carbon Nanotubes/Poly(N,N-Diethylacrylamide).

Authors:  Xuemei Wu; Xiaoqing Bai; Yang Ma; Jie Wei; Juan Peng; Keren Shi; Huiqin Yao
Journal:  Sensors (Basel)       Date:  2018-10-08       Impact factor: 3.576

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