Kitajima Akihito, Kashirajima Takeshi, Minamizawa Takao, Sato Hiroyasu, Iwaki Kazuo, Ueda Taisuke, Kimura Yoshio, Toyo'oka Toshimasa, Maitani Tamio, Matsuda Rieko, Hayashi Yuzuru
Daiichi Radioisotope Laboratories, Chiba, Japan.
Anal Sci. 2007 Sep;23(9):1077-80. doi: 10.2116/analsci.23.1077.
The stochastic properties of baseline noise in HPLC systems with a UV photo-diode array, photo-multiplier and gamma-ray detector were examined by dividing the noise into auto-correlated random process (Markov process) and an independent process (white noise). The present work focused on the effect of the stochastic noise properties on a theoretical estimation of the standard deviation (SD) of area measurements in instrumental analyses. An estimation theory, called FUMI theory (Function of Mutual Information), was taken as an example. A computer simulation of noise was also used. It was shown that the reliability (confidence intervals) of theoretical SD estimates mainly depends on the following factors: the ratio of the white noise and Markov process occurring in the baselines; the number of data points used for the estimation; the width of a target peak for which the SD is estimated.
通过将噪声分为自相关随机过程（马尔可夫过程）和独立过程（白噪声），研究了配备紫外光电二极管阵列、光电倍增管和伽马射线探测器的高效液相色谱（HPLC）系统中基线噪声的随机特性。本研究聚焦于随机噪声特性对仪器分析中面积测量标准偏差（SD）理论估计的影响。以一种称为FUMI理论（互信息函数）的估计理论为例。还进行了噪声的计算机模拟。结果表明，理论SD估计的可靠性（置信区间）主要取决于以下因素：基线中出现的白噪声与马尔可夫过程的比例；用于估计的数据点数；估计SD的目标峰宽度。
