Tong Sheng, Yuan Fan
Department of Biomedical Engineering, Box 90281, Duke University, Durham, NC 27708, USA.
J Pharm Biomed Anal. 2002 Apr 15;28(2):269-78. doi: 10.1016/s0731-7085(01)00565-9.
One of the critical issues in microdialysis sampling is how to predict the extraction fraction (E(d)), based on transport properties of analytes in both tissues and probes. A one-dimensional (1-D) model has been used widely in previous studies to predict E(d) at the steady state. However, this model is valid only for long probes. To this end, an equivalent length (EL) model was developed for probes with any length used in experiments. The key idea in the model was to replace the probe length (L) in the 1-D model with an equivalent length (L(E)) when calculating transport resistance in surrounding tissues. The length difference, (L(E)-L), was assumed to be proportional to the penetration depth of analytes (Gamma). The proportionality constant (lambda) was determined through minimizing the errors in predicted E(d). We found that, the EL model could accurately predict E(d) when lambda=0.369. The maximum error in EL model predictions was <6%, for model constants varying in the same ranges as those in microdialysis experiments. This error was one order of magnitude smaller than that in 1-D model predictions.
微透析采样中的关键问题之一是如何根据分析物在组织和探针中的传输特性来预测提取分数(E(d))。在先前的研究中,一维(1-D)模型已被广泛用于预测稳态下的E(d)。然而,该模型仅适用于长探针。为此,针对实验中使用的任意长度的探针,开发了一种等效长度(EL)模型。该模型的关键思想是在计算周围组织中的传输阻力时,用等效长度(L(E))代替一维模型中的探针长度(L)。长度差(L(E)-L)被假定与分析物的穿透深度(Gamma)成正比。通过最小化预测的E(d)中的误差来确定比例常数(lambda)。我们发现,当lambda = 0.369时,EL模型可以准确预测E(d)。对于在与微透析实验相同范围内变化的模型常数,EL模型预测中的最大误差<6%。该误差比一维模型预测中的误差小一个数量级。