A preliminary study on constructing a high-dimensional asynchronous spectrum to analyze bilinear data

Guo, Ran; Zhang, Xin; Zhang, Fei; Zhang, Zhuo-yong; Yu, Zhen-qiang; Xu, Yi-zhuang; Noda, Isao; Ozaki, Yukihiro

Angol nyelvű Szakcikk (Folyóiratcikk) Tudományos
  • SJR Scopus - Analytical Chemistry: Q2
Azonosítók
Szakterületek:
  • Egyéb műszaki tudományok és technológiák
A novel approach to constructing high-dimensional asynchronous spectra (nD-Asyn) is proposed. Three theorems relevant to 1D slices of nD-Asyn are revealed. nD-Asyn is used to analyze bilinear data from mixtures containing multiple components obtained via hyphenated techniques. The spectral contribution of different components can be removed in a stepwise manner by increasing the dimensions of asynchronous spectra. As a result, the spectra of different components can be faithfully recovered even if the time-related profiles of different components severely overlap. Moreover, correct results can still be obtained via the nD-Asyn even if a considerable level of noise and baseline drift are present. The nD-Asyn approach is compared with MCR-ALS using different constraints in analyzing the data for a simulated and also for a real system. The nD-Asyn produced correct spectrum of every component. Only when complete constraints obtained from nD-Asyn method is utilized in the MCR-ALS calculation, correct spectra of all the components can be obtained. Thus, nD-Asyn can be used alone or in conjunction with MCR-ALS to analyze bilinear data containing contributions of multiple components. (C) 2019 Published by Elsevier B.V.
Hivatkozás stílusok: IEEEACMAPAChicagoHarvardCSLMásolásNyomtatás
2025-01-06 08:36