Institute for Wine Analysis and Beverage Research, Hochschule Geisenheim University, Geisenheim, 65366, Germany.
Anal Chim Acta. 2019 Jul 25;1062:60-67. doi: 10.1016/j.aca.2019.03.009. Epub 2019 Mar 9.
The lack of trilinear structure is known to limit the application of chemometric techniques on the total synchronous fluorescence spectroscopy (TSFS) data sets. To overcome this limitation, the present work successfully proposes application of Akaike information criterion (AIC) assisted probabilistic latent semantic analysis (pLSA) algorithm on TSFS data sets. The present work also discusses various practical and theoretical aspects that need to be considered while applying AIC assisted pLSA algorithm on TSFS data sets.
众所周知，三线结构的缺乏限制了化学计量技术在总同步荧光光谱（TSFS）数据集上的应用。为了克服这一限制，本工作成功提出了在 TSFS 数据集上应用 Akaike 信息准则（AIC）辅助概率潜在语义分析（pLSA）算法的方法。本工作还讨论了在 TSFS 数据集上应用 AIC 辅助 pLSA 算法时需要考虑的各种实际和理论方面。
