@article{oai:repo.qst.go.jp:00080988,
 author = {Saeki, Morihisa and Yomogida, Takumi and Matsumura, Daiju and Saito, Takumi and Nakanishi, Ryuzo and Tsuji, Takuya and Ohba, Hironori and Morihisa, Saeki and Ryuzo, Nakanishi and Hironori, Oba},
 issue = {11},
 journal = {Analytical Sciences},
 month = {Nov},
 note = {We measured X-ray absorption fine structure (XAFS) and Raman spectra of isopolymolybdates(VI) in highly concentrated HNO3 solution (0.15–4.0 M), which change their geometries depending on acid concentration, and performed simultaneous resolution of the XAFS and Raman data using a multivariate curve resolution by alternating least-squares (MCR-ALS) analysis. In iterative ALS optimization, initial data matrices were prepared by two different methods. For low sensitivity of the XAFS spectra to geometrical change of the isopolymolybdates, the MCR-ALS result of single XAFS data matrix shows large dependence on the preparation method of the initial data matrices. This problem is improved by the simultaneous resolution of the XAFS and Raman data: the MCR-ALS result of an augmented matrix of these data has little dependence on the initial data matrices. It indicates that the augmentation method effectively improves the rotation ambiguities in the MCR-ALS analysis of the XAFS data.},
 pages = {1371--1378},
 title = {Application of augmentation method to MCR-ALS analysis for XAFS and Raman data matrices in structural change of isopolymolybdates},
 volume = {36},
 year = {2020}
}