Xia A-Lin, Wu Hai-Long, Zhu Shao-Hua, Han Qing-Juan, Zhang Yan, Yu Ru-Qin
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, China.
Anal Sci. 2008 Sep;24(9):1171-6. doi: 10.2116/analsci.24.1171.
A new algorithm, an alternating normalization-weighted error (ANWE) method, and the parallel factor analysis (PARAFAC) have been used to directly determine psoralen (PSO) in human plasma. The two methods fully exploit the second-order advantage of the applied three-way fluorescence data. Interestingly, the calibration samples need only the components of interest, and the prediction samples allow containing not only the components of interest, but also unknown interferents. Consequently, the determination of PSO in plasma becomes no longer troublesome or time-consuming. The results are satisfying. Furthermore, compared with PARAFAC, the newly introduced ANWE method can obtain more satisfactory results.
一种新算法,即交替归一化加权误差(ANWE)方法,以及平行因子分析(PARAFAC)已被用于直接测定人血浆中的补骨脂素(PSO)。这两种方法充分利用了所应用的三向荧光数据的二阶优势。有趣的是,校准样品仅需要感兴趣的成分,而预测样品不仅可以包含感兴趣的成分,还可以包含未知干扰物。因此,血浆中PSO的测定不再麻烦或耗时。结果令人满意。此外,与PARAFAC相比,新引入的ANWE方法可以获得更令人满意的结果。