Department of Biology, Faculty of Sciences, Hacettepe University, 06800 Ankara, Turkey.
Department of Biotechnology, Lund University, 22362 Lund, Sweden.
Sensors (Basel). 2017 Mar 29;17(4):708. doi: 10.3390/s17040708.
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.
由于在各种基质中检测微生物的重要性迅速凸显,因此对复杂样品中微生物的选择性识别的需求日益增长。目前用于识别微生物的大多数常规方法既耗时、费力又昂贵。近年来,人们付出了许多努力来开发用于检测微生物的替代方法。这些方法包括使用各种成分,例如纳米硅颗粒、微流控技术、液晶、碳纳米管,这些都可以与传感器技术集成,以检测微生物。在这些出版物中,许多出版物都将抗体作为识别元件,通过目标细胞与抗体结合位点之间的特异性相互作用来实现细胞识别和检测。尽管天然抗体具有高选择性和灵敏度,但它们的稳定性有限,并且在生理范围之外的条件下容易变性。在不同的方法中,具有优越性能的仿生材料已被用于创建人工系统。分子印迹是一种非常合适的技术,可用于开发高度选择性的感测设备。分子印迹聚合物被定义为人工识别元件,它们在生命科学的多个领域的应用中引起了越来越多的关注,包括对特定感兴趣分子的检测研究。这些聚合物具有高生物识别能力、机械和化学稳定性、易于制备和低成本等吸引人的特性,使其优于天然识别试剂。本文综述了通过强调分子印迹技术及其在传感器策略开发中的应用来检测和定量微生物的最新进展。