Molecularly Imprinted Nanosensors for Microbial Contaminants

Idil, Neslihan; Bakhshpour, Monireh; Perçin, Işık; Denizli, Adil

doi:10.1007/978-3-030-45116-5_12

Neslihan Idil⁴,
Monireh Bakhshpour⁵,
Işık Perçin⁴ &
…
Adil Denizli⁵

Part of the book series: Nanotechnology in the Life Sciences ((NALIS))

671 Accesses
3 Citations

Abstract

Nanotechnology-based sensor systems have received great attention for developing methodologies to detect microbial contaminants. Increasing incidence in different kinds of infections supports the requirement for developing novel techniques. Therefore, it is necessary to detect microbial causative agents rapidly, accurately, and cost-effectively. Traditional laboratory techniques applied for the detection of microorganisms have some disadvantages such as being laborious, time-consuming, and expensive. In light of new sensing approaches, nanomaterial-based technologies have some desirable properties providing rapid, specific, sensitive, cheap, and trustworthy detection. In addition, nanomaterial integrated sensor platforms offer miniaturization and automation for analysis of target molecule/cell.

Nanomaterials such as carbon nanotubes, quantum dots, nanowires, and nanoparticles have recently received a significant task for the development of accomplished sensing platforms for analysis of microbial contaminants. Nanosensors have been introduced as promising tools in order to overcome infection problems in the way of identification of contaminants. Thus, nanosensors provide monitoring microorganisms, viruses, toxins, spores, signalling molecules, cell wall components. Nanosensors make it possible to remove contaminants, decrease the incidence of infections, get spreading under control in this respect decreasing outbreaks, and improve suitable control measures. In this review, a brief overview of nanosensor applications for the detection of microbial cells is presented by indicating the principles, advantages, and limitations of sensing strategies. Consequently, the review is anticipated to offer directions to the improvement and usage of nanosensors for early and rapid detection of microbial contaminants.

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Abbreviations

ADH:: Alcohol dehydrogenase
AgNPs:: Silver nanoparticles
AuNPs:: Gold nanoparticles
BSA:: Bovine serum albumin
CFU:: Colony forming unit
CNTs:: Carbon nanotubes
CPE:: Carbon paste electrode
CV:: Cyclic voltammetry
EHEC:: Enterohemorrhagic E. coli
EIS:: Electrochemical impedance spectroscopy
EPEC:: Enteropathogenic E. coli
GCE:: Glassy carbon electrode
GE:: Gold electrode
GNPs:: Gold nanoparticles
GO:: Graphene oxide
HAU:: Hemagglutinin unit
LOD:: Limit of detection
LOQ:: Limit of quantification
MAH:: N-methacryloyl-l-histidine methyl ester
MGCE:: Magnetic carbon paste electrode
MIP:: Molecular imprinting
MIPs:: Molecularly imprinted polymers
MWCNTs:: Multi-walled carbon nanotubes
N-GQDs:: Nitrogen-doped graphene quantum dots
NPs:: Nanoparticles
PDA-SIP:: Polydopamine surface imprinted polymer
PEG:: Polyethylene glycol
PFU:: Plaque forming units
PGE:: Pencil graphite electrode
PPy:: Polypyrrole
QCM:: Quartz crystal microbalance
QDs:: Quantum dots
RGSs-CS:: Chitosan (CS) doped with reduced graphene sheets (RGSs)
SA:: Streptavidin
SEM:: Scanning electron microscopy
SIP:: Spore-imprinted polymer
SPCE:: Screen-printed carbon electrode
SPE:: Carbon screen-printed electrode
SPR:: Surface plasmon resonance
SWCNTs:: Single-walled carbon nanotubes
ZIKV:: Zika virus

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Department of Biology, Hacettepe University, Ankara, Turkey
Neslihan Idil & Işık Perçin
Department of Chemistry, Hacettepe University, Ankara, Turkey
Monireh Bakhshpour & Adil Denizli

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Neslihan Idil
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Monireh Bakhshpour
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Işık Perçin
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Adil Denizli
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Chemistry Department, King Abdulaziz University, Jeddah, Saudi Arabia
Inamuddin
Chemistry Department, King Abdulaziz University, Jeddah, Saudi Arabia
Abdullah M. Asiri

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Idil, N., Bakhshpour, M., Perçin, I., Denizli, A. (2020). Molecularly Imprinted Nanosensors for Microbial Contaminants. In: Inamuddin, Asiri, A. (eds) Nanosensor Technologies for Environmental Monitoring. Nanotechnology in the Life Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-45116-5_12

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Published: 16 July 2020
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