Biomedical subjects

Cui-Yun Mo

Publications and source records attributed to Cui-Yun Mo.

3 recordsLinked to original sources

PubMed2003

An improved trilinear decomposition algorithm based on a Lagrange operator.

An improved trilinear decomposition algorithm based on a Lagrange operator (LO) is developed in this paper, which introduces a Lagrange operator and penalty terms in the loss function to improve the performance of the algorithm. Compared to the traditional parallel factor (PARAFAC) algorithm, the algorithm not only may converge much faster, but also overcome the sensibility to estimate the number of components. A set of simulated and measured excitation/emission fluorescence data were treated by both the proposed and traditional PARAFAC algorithm to compare their efficiencies. The analytical results obtained with real chemical system containing aspirin and its metabolic products show that the trilinear decomposition methodology is a promising tool to obtain spectral and composition information from mixtures without chemical separation.

Journal Article↗

PubMed2002

Spectrofluorometric resolution of closely overlapping drug mixtures using chemometrics methods.

A modified parallel factors analysis (PARAFAC) algorithm with a penalty diagonalization error (PDE), newly proposed by the present authors, was utilized to simultaneously resolve drug mixtures of propranolol (PRO), dipyridamole (DIP) and amiloride (AMI) without any loss of sensitivity. The analyses were performed in aqueous solution. The experimental results demonstrated that the profiles of the spectra and the concentrations could be accurately resolved using the PDE algorithm with a high sensitivity and stable repeatability. That is to say, the closely overlapping problem of the spectra could be easily solved. Furthermore, simultaneous determinations of three kinds of tablets, which contain PRO, AMI and DIP, respectively, were successfully performed with satisfactory results.

Algorithms↗

PubMed2002

[Simultaneous determination of isomers of dihydroxybenzene using alternating trilinear decomposition algorithm combined with reversed-phase high performance liquid chromatography/diode array detection].

Alternating trilinear decomposition (ATLD) algorithm is a promising method for second-order calibration, which is based on an alternating least-squares principle to overcome some shortcomings of the traditional parallel factor analysis (PARAFAC) algorithms, such as the sensitivity to the estimated component numbers and slow convergence. It utilizes an iterative procedure involving Moore-Penrose generalized inverse computations based on singular value decomposition and can be applied to the simultaneous determination of several organic components even in the presence of unknown interfering components. The overlapped chromatogram and spectra system of dihydroxybenzenes were resolved by ATLD combined with reversed-phase high performance liquid chromatography (RP-HPLC)/ diode array detection (DAD). The elution time was set from 1.086 min to 1.399 min with an interval of 1/150 min and the ultraviolet wavelength from 268 nm to 298 nm with an interval of 1 nm. The resolved results were in agreement with the actual results excellently. Catechol (CAT), resorcinol (RES) and hydroquinone (HYD) in aqueous solution were determined simultaneously, whose recoveries were (100.1 +/- 1.0)%, (99.4 +/- 1.4)% and (100.5 +/- 1.7)%, respectively. The results showed this experiment can be easily performed without resorting to time-consuming and complicated procedures and quantified accurately. It successfully solved the resolving problem caused by chromatogram and spectra overlapping in the presence of interfering components. It also revealed the ATLD algorithm can be efficiently applied to solve the second-order calibration problem in HPLC-DAD.

English Abstract↗