生物传感器系统:确定嗅觉刺激的最佳时间参数

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
A. E. Matukhno, M. V. Petrushan, L. V. Lysenko, V. N. Kiroy
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引用次数: 0

摘要

摘要 生物传感器分析方法正在得到积极改进,并在安全、医学(特别是癌症监测)、环境质量控制等领域变得越来越重要。在本文中,我们考虑开发一种生物传感器系统,其技术基础是利用大型动物的嗅球(OB)和光学方法对肾小球活动的气味特异性模式进行成像。在重复刺激过程中自动检测气味触发模式的困难在于适应过程,表现为嗅觉分析器神经结构敏感性的可逆变化。我们通过实验找到了最佳的刺激持续时间和刺激间歇时间;这使得在重复刺激过程中稳定肾小球反应和持续准确地观察肾小球活动模式成为可能。我们取得的成果拓展了用于开发生物传感器系统的现有工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Biosensor Systems: Determination of Optimal Time Parameters of Olfactory Stimulation

Biosensor Systems: Determination of Optimal Time Parameters of Olfactory Stimulation

Abstract

Biosensor analysis methods are being actively improved and are becoming increasingly important in the fields of safety, medicine, in particular, cancer monitoring, environmental quality control, etc. In this paper, we considered the development of a biosensor system based on the technology of using the olfactory bulb (OB) of macrosmatic animals with optical methods of imaging odorant-specific patterns of glomerular activity. The difficulties of automatic detection of odor-triggered patterns during repetitive stimulation are due to adaptation processes manifested in a reversible change in the sensitivity of the neural structures of the olfactory analyzer. The optimal duration of stimuli and interstimular intervals has been experimentally found; this made it possible to stabilize the glomerular response during repeated stimulation and visualize patterns of glomerular activity with constant accuracy. The results we obtained expand the existing tools used for the development of biosensor systems.

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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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