AFM-based technologies as the way towards the reverse Avogadro number

   


1. Institute of Biomedical Chemistry, Moscow, Russia
Type: Review
DOI: 10.18097/PBMC20156102239      UDK: 577.1, 557.152.3, 538.975, 621.382.3      PubMed Id: 25978390
Year: 2015 vol: 61  issue:2  pages: 239-253
Abstract: Achievement of the concentration detection limit for proteins at the level of the reverse Avogadro number determines the modern development of proteomics. In this review, the possibility of approximating the reverse Avogadro number by using nanotechnological methods (AFM-based fishing with mechanical and electrical stimulation, nanowire detectors, and other methods) are discussed. The ability of AFM to detect, count, visualize and characterize physico-chemical properties of proteins at concentrations up to 10-17-10-18 M is demonstrated. The combination of AFM-fishing with mass-spectrometry allows the identification of proteins not only in pure solutions, but also in multi-component biological fluids (serum). The possibilities to improve the biospecific fishing efficiency by use of SOMAmers in both AFM and nanowire systems are discussed. The paper also provides criteria for evaluation of the sensitivity of fishing-based detection systems. The fishing efficiency depending on the detection system parameters is estimated. The practical implementation of protein fishing depending on the ratio of the sample solution volume and the surface of the detection system is discussed. The advantages and disadvantages of today's promising nanotechnological protein detection methods implemented on the basis of these schemes.
Download PDF:
Reference: Pleshakova T.O., Shumov I.D., Ivanov Yu.D., Malsagova K.A., Kaysheva A.L., Archakov A.I., AFM-based technologies as the way towards the reverse Avogadro number, Biomeditsinskaya khimiya, 2015, vol: 61(2), 239-253.
This paper is also available as the English translation:10.1134/S1990750815030063
Bibliography
 2016(Vol:62)
 2015(Vol:61)
 2014(Vol:60)
 2013(Vol:59)
 2012(Vol:58)
 2011(Vol:57)
 2010(Vol:56)
 2009(Vol:55)
 2008(Vol:54)
 2007(Vol:53)
 2006(Vol:52)
 2005(Vol:51)
 2004(Vol:50)
 2003(Vol:49)