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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >Computer assisted determination of ATP in environmental and food samples by bioluminescent assay: comparison of algorithms.
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Computer assisted determination of ATP in environmental and food samples by bioluminescent assay: comparison of algorithms.

机译：通过生物发光测定法的计算机辅助测定环境和食品样品中的ATP：算法比较。

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摘要

When the bioluminescent assay (BLA) for the determination of adenosine triphosphate (ATP) in environmental and food samples is performed by conventional photometers, a computing procedure is necessary to exclude the mixing time of reagents from the global time of the reaction because it produces a poor analytical precision [M. Mecozzi, A. Amici, G. Visco, Fres. J. Anal. Chem. 357 (1997) 747-751]. In this paper three automated procedures for correcting this interference were tested and compared with illustrate their advantages and drawbacks. The three techniques were the robust exponential regression and the outliers detection method (RER), the smoothing technique of Savitzky-Golay (SSG) and the smoothing technique of Kalman Filter (SKF). RER and SSG were found to be more effective than SKF in minimizing the effect of noise produced by the mixing of reagents. In addition, the application of computing procedures such as RER and SSG allow to improve the detection limit in the BLA performed by conventional photometers.
机译：当通过常规光度计执行用于确定环境和食品样品中三磷酸腺苷（ATP）含量的生物发光测定（BLA）时，需要一种计算程序来将试剂的混合时间从反应的整体时间中排除，因为它会产生分析精度差[M. Mecozzi，A。Amici，G。Visco，弗雷斯。 J.肛门化学357（1997）747-751]。在本文中，测试了三种自动程序来纠正这种干扰，并与之进行了比较，以说明它们的优缺点。这三种技术分别是鲁棒指数回归和离群值检测方法（RER），Savitzky-Golay的平滑技术（SSG）和卡尔曼滤波器的平滑技术（SKF）。发现RER和SSG在降低试剂混合产生的噪音影响方面比SKF更有效。另外，诸如RER和SSG之类的计算过程的应用允许改善由常规光度计执行的BLA中的检测极限。

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