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2017 ; 17
(4
): ä Nephropedia Template TP
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Imprinting of Microorganisms for Biosensor Applications
#MMPMID28353629
Idil N
; Mattiasson B
Sensors (Basel)
2017[Mar]; 17
(4
): ä PMID28353629
show ga
There is a growing need for selective recognition of microorganisms in complex
samples due to the rapidly emerging importance of detecting them in various
matrices. Most of the conventional methods used to identify microorganisms are
time-consuming, laborious and expensive. In recent years, many efforts have been
put forth to develop alternative methods for the detection of microorganisms.
These methods include use of various components such as silica nanoparticles,
microfluidics, liquid crystals, carbon nanotubes which could be integrated with
sensor technology in order to detect microorganisms. In many of these
publications antibodies were used as recognition elements by means of specific
interactions between the target cell and the binding site of the antibody for the
purpose of cell recognition and detection. Even though natural antibodies have
high selectivity and sensitivity, they have limited stability and tend to
denature in conditions outside the physiological range. Among different
approaches, biomimetic materials having superior properties have been used in
creating artificial systems. Molecular imprinting is a well suited technique
serving the purpose to develop highly selective sensing devices. Molecularly
imprinted polymers defined as artificial recognition elements are of growing
interest for applications in several sectors of life science involving the
investigations on detecting molecules of specific interest. These polymers have
attractive properties such as high bio-recognition capability, mechanical and
chemical stability, easy preparation and low cost which make them superior over
natural recognition reagents. This review summarizes the recent advances in the
detection and quantification of microorganisms by emphasizing the molecular
imprinting technology and its applications in the development of sensor
strategies.
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