Parallel factor (PARAFAC) kernel analysis of temperature- and composition-dependent NMR spectra of poly(lactic acid) nanocomposites

被引：24

作者：

Shinzawa, Hideyuki ^{[1
]}

Nishida, Masakazu ^{[1
]}

Kanematsu, Wataru ^{[1
]}

Tanaka, Toshiyuki ^{[2
]}

Suzuki, Kenzi ^{[3
]}

Noda, Isao ^{[4
]}

机构：

[1] AIST, Res Inst Instrumentat Frontier, Tokyo, Japan

[2] Aichi Ctr Ind & Sci Technol, Mikawa Textile Res Ctr, Otsuka Cho, Gamagori 4430013, Japan

[3] Nagoya Univ, Grad Sch Engn, Dept Chem Engn, Chikusa Ku, Nagoya, Aichi 4648603, Japan

[4] Procter & Gamble Co, West Chester, OH 45069 USA

来源：

ANALYST | 2012年 / 137卷 / 08期

关键词：

SAMPLE DESIGN SCHEME; 2-DIMENSIONAL SYNCHRONOUS SPECTROSCOPY; POLYLACTIDE; RAMAN;

D O I：

10.1039/c2an16019f

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The parallel factor (PARAFAC) kernel matrix to analyze a sample system stimulated by more than one type of perturbation is described. PARAFAC kernel is a quantitative representation of the synchronicity and asynchronicity observed within the PARAFAC score matrices generated by carrying out two-dimensional (2D) correlation analyses. Thus, kernel matrix representation provides more intuitively understandable interpretation to the conventional PARAFAC trilinear model. In this study, the utility of PARAFAC kernel is demonstrated by the study of poly(lactic acid)-nanocomposite undergoing a structural change depending on the temperature as well as the clay content in the sample. Seemingly complicated variation of nuclear magnetic resonance (NMR) spectra induced by the change in the temperature and clay content are readily analyzed by the multiple-perturbation 2D correlation spectroscopy and PARAFAC kernel. PARAFAC kernel revealed that crystalline and amorphous structures of the PLA substantially undergo thermal deformation, and these variations are also influenced by the presence of the clay.

引用

页码：1913 / 1921

页数：9

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