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Gaussian distribution of relaxation through human blood

机译:高斯分布通过人体血液的松弛

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The complicated structure of human blood has been characterized based on relaxation time, τ, and the ColeCole parameter, α, obtained from dielectric measurements. As previously reported by different authors, the experimental data show net deviation from the classical Debye model with certain distribution of relaxation times (Dτ). Plots of α versus width of the relaxation rate distribution of micro-particles inside the blood show that D_τ drastically affects the dielectric properties of the fluid. The mathematical function of D_τ is found to be Gaussian and we find that the α values of normal blood have net lower magnitude than that of diabetic blood. These results suggest that glucose in blood increases the broadness of the parameter α, which have significant importance in diabetic-biosensor manufacture.
机译:人体血液的复杂结构已经根据弛豫时间τ和从电介质测量中获得的ColeCole参数α进行了表征。正如不同作者先前所报道的那样,实验数据显示与经典Debye模型的净偏差具有一定的弛豫时间(Dτ)分布。 α对血液中微粒的弛豫速率分布宽度的关系图表明,D_τ极大地影响了流体的介电性能。发现D_τ的数学函数是高斯函数,我们发现正常血液的α值的净幅值比糖尿病血液的净值低。这些结果表明,血液中的葡萄糖增加了参数α的宽度,这在糖尿病生物传感器的制造中具有重要的意义。

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