Imprinting of microorganisms for biosensor applications

Research output: Contribution to journalReview article

Abstract

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.

Details

Authors
Organisations
External organisations
  • Hacettepe University
  • CapSenze HB
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Medical Biotechnology
  • Microbiology in the medical area

Keywords

  • Applications, Biosensor, Microorganism imprinting
Original languageEnglish
Article number708
JournalSensors
Volume17
Issue number4
Publication statusPublished - 2017 Apr 1
Publication categoryResearch
Peer-reviewedYes