Using artificial neural networks for elaboration of fluorescence biosensors on the basis of nanoparticles
Abstract
In this study, the results for the solution of the pattern recognition problem are presented — extraction of fluorescence contribution for carbon dots used as biomarkers from the background signals of natural fluorophores and the determination of relative nanoparticle concentration. To solve this problem, artificial neural networks were used. The principal opportunity for solution of the given problem was demonstrated. The used architectures for neural networks allow the detection of carbon dot-based fluorescence within the background of native fluorescent egg protein with sufficiently high accuracy (not lower than 0.002 mg/ml).
Keywords
Supporting agencies: The authors of this paper wish to thank O. Shenderova from International Technology Center (North Carolina, USA) for the synthesis of CD. This work was supported in part by RFBR grants no. 12-01-31523-mol a, 11-05-01160 a, 12-01-00958 a and 11-02-01432 a, the grant of RAS program no. 24, the grant of President of the Russian Federation for leading scientific schools no 3076.2012.
About the Authors
S. A. Burikov
Moscow M. V. Lomonosov State University
Russian Federation
Russian Federation
Physics Department
Moscow
S. A. Dolenko
D. V. Skobeltsyn Institute of Nuclear Physics, Moscow State University
Russian Federation
Russian Federation
Moscow
K. A. Laptinskiy
Moscow M. V. Lomonosov State University
Russian Federation
Russian Federation
Physics Department
Moscow
I. V. Plastinin
Moscow M. V. Lomonosov State University
Russian Federation
Russian Federation
Physics Department
Moscow
A. M. Vervald
Moscow M. V. Lomonosov State University
Russian Federation
Russian Federation
Physics Department
Moscow
I. I. Vlasov
General Physics Institute RAS
Russian Federation
Russian Federation
Moscow
T. A. Dolenko
Moscow M. V. Lomonosov State University
Russian Federation
Russian Federation
Physics Department
Moscow
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Review
For citations:
Burikov S.A., Dolenko S.A., Laptinskiy K.A., Plastinin I.V., Vervald A.M., Vlasov I.I., Dolenko T.A. Using artificial neural networks for elaboration of fluorescence biosensors on the basis of nanoparticles. Nanosystems: Physics, Chemistry, Mathematics. 2014;5(1):195-202.
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