FUMI理論による電気化学検出高速液体クロマトグラフィーの最適化と遊離脂肪酸の高感度定量への応用

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A chemometric tool based on the Function of Mutual Information (FUMI) theory can provide a relative standard deviation (RSD) from a single measurement of noise and signal was used to optimize high-performance liquid chromatography with an electrochemical detection (HPLC-ECD) system and the conditions. That the predicted RSD by FUMI theory was parallel to the observed RSD shows that FUMI theory is useful for predicting the measurement precision in HPLC-ECD without repetitive measurements. The power spectra of chromatographic baseline were used to trace the source of instrumental noise, and to select a suitable apparatus in the HPLC-ECD system. To optimize the HPLC-ECD conditions, two parameters, information content (φ) and efficiency (θ = information content/time), which were calculated from predicted RSD based on the FUMI theory, were used. Moreover, optimization methods by the FUMI theory were applied to new HPLC-ECD that was developed with the objective of providing d sensitive, simple, and rapid means for determining free fatty acids (FFAs). This method requires small sample amounts, and the procedure is quite simple without the derivatization of fatty acids, permitting time-course measurements at the FFA level in human plasma and the distribution of FFA in skin surface lipids from 50 points on a human head. The presented method using FUMI theory saves considerable amounts of chemicals and experimental time, and was found to be useful to optimize the system and the conditions of HPLC-ECD.
社団法人日本分析化学会の論文
2004-10-05

FUMI理論による電気化学検出高速液体クロマトグラフィーの最適化と遊離脂肪酸の高感度定量への応用

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