Biomedical diagnostic systems perform as combinations of multiple components, each introducing an experimental uncertainty. The present study examines the uncertainty in spectrophotometric measurements of absorbance A for different models of detector response. Modeling this response provides both a quantitative estimate of the minimum relative concentration error (RCE) and limits on the operating range for which the RCE falls within specified limits. For the constant uncertainty model the operating range corresponding to RCE no greater than twice the minimum value ranges from A approximately 0.07 to A approximately 0.79. A photomultiplier-like response results in the limits 0.2 $LS A $LS 2.3. A Beer's Law model predicts that RCE contributions from sample concentration uncertainty decrease monotonically with increasing absorbance. Assay chemistry factors dominate at low A values making high precision difficult at low A.
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机译：生物医学诊断系统作为多个组件的组合，每个组合都引入了实验性的不确定性。本研究研究了不同型号检测器响应模型的分光光度测量的分光光度测量的不确定性。建模此响应提供了最小相对浓度误差（RCE）的定量估计，以及RCE在指定限度内下降的操作范围内的限制。对于恒定的不确定性模型，对应于RCE的操作范围不大于最小值的两倍范围为约0.07至约0.79。相似的光电倍增倍数响应导致限制0.2 $ LS $ LS 2.3。啤酒的法律模型预测来自样品浓度不确定性的RCE贡献随着吸光度的增加而单调地降低。测定化学因子在低于低A困难的低的值下占主导地位。
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