Maas J, Galey F D, Peauroi J R, Case J T, Littlefield E S, Gay C C, Koller L D, Crisman R O, Weber D W, Warner D W
California Veterinary Diagnostic Laboratory System, School of Veterinary Medicine, University of California, Davis 95616.
J Vet Diagn Invest. 1992 Jan;4(1):48-52. doi: 10.1177/104063879200400111.
The selenium (Se) concentration of paired blood and serum samples from cattle was determined by 2 methods: 1) atomic absorption spectroscopy using hydride generation (HG-AAS), and 2) inductively coupled argon plasma emission spectroscopy using hydride generation (ICP). Samples from 327 cattle were analyzed by HG-AAS, and samples from 344 cattle were analyzed by ICP. The data were examined by linear regression analysis, and the technique of inverse prediction was utilized to determine prediction intervals for estimating blood Se concentration from known serum Se concentration. The correlation coefficients, by simple linear regression of serum Se on blood Se, were 0.79 (r2 = 0.62) and 0.88 (r2 = 0.77) for the HG-AAS data and the ICP data, respectively. For the HG-AAS data, the inverse prediction formula for estimating blood Se when serum Se is known, at the 95% prediction interval, was [formula; see text]. For the ICP data, the inverse prediction formula for estimating blood Se when serum Se is known, at the 95% prediction interval, was [formula; see text]. The prediction intervals were quite wide, and the accuracy of estimating blood Se from a known serum Se was not useful for diagnostic purposes. The use of serum Se concentration to assess nutritional status of cattle with respect to Se does not appear to be appropriate.
采用两种方法测定了牛的配对血液和血清样本中的硒（Se）浓度：1）使用氢化物发生的原子吸收光谱法（HG-AAS），以及2）使用氢化物发生的电感耦合氩等离子体发射光谱法（ICP）。对327头牛的样本进行了HG-AAS分析，对344头牛的样本进行了ICP分析。通过线性回归分析对数据进行检验，并利用反向预测技术确定根据已知血清硒浓度估算血液硒浓度的预测区间。血清硒与血液硒的简单线性回归相关系数，HG-AAS数据为0.79（r2 = 0.62），ICP数据为0.88（r2 = 0.77）。对于HG-AAS数据，在95%预测区间，已知血清硒时估算血液硒的反向预测公式为[公式；见原文]。对于ICP数据，在95%预测区间，已知血清硒时估算血液硒的反向预测公式为[公式；见原文]。预测区间相当宽，根据已知血清硒估算血液硒的准确性对于诊断目的并无用处。利用血清硒浓度评估牛的硒营养状况似乎并不合适。
