Recent Progress in the Development of Novel Nanostructured Biosensors for Detection of Waterborne Contaminants

Gokhale, Ankush A.; Lu, Jue; Lee, Ilsoon

doi:10.1007/978-3-319-02772-2_1

Cited by 1 publication

(1 citation statement)

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“…Currently, micro/nanotechnologies are being rapidly applied to and integrated with electrochemical detection technologies that employ microbial biosensors (Durrieu et al, 2013 ; Gokhale et al, 2013 ). The principal goals of such integration of micro/nanotechnologies with electrochemical microbial biosensors are for (1) miniaturization and portability, (2) high-throughput screening, (3) enhanced sensitivity and selectivity, and (4) simple and rapid immobilization of microorganisms (transducers), which replaces conventional transducers (Scognamiglio, 2013 ).…”

Section: Conventional Detection Methodsmentioning

confidence: 99%

Review of Micro/Nanotechnologies for Microbial Biosensors

Lim

Lee

et al. 2015

Front. Bioeng. Biotechnol.

105

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A microbial biosensor is an analytical device with a biologically integrated transducer that generates a measurable signal indicating the analyte concentration. This method is ideally suited for the analysis of extracellular chemicals and the environment, and for metabolic sensory regulation. Although microbial biosensors show promise for application in various detection fields, some limitations still remain such as poor selectivity, low sensitivity, and impractical portability. To overcome such limitations, microbial biosensors have been integrated with many recently developed micro/nanotechnologies and applied to a wide range of detection purposes. This review article discusses micro/nanotechnologies that have been integrated with microbial biosensors and summarizes recent advances and the applications achieved through such novel integration. Future perspectives on the combination of micro/nanotechnologies and microbial biosensors will be discussed, and the necessary developments and improvements will be strategically deliberated.

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Section: Conventional Detection Methodsmentioning

confidence: 99%