Modeling Temperature-Dependent Protein Structural Transitions by Combined Near-IR and Mid-IR Spectroscopies and Multivariate Curve Resolution

2003 ◽  
Vol 75 (20) ◽  
pp. 5592-5601 ◽  
Author(s):  
Susana Navea ◽  
Anna de Juan ◽  
Romà Tauler
Keyword(s):  
Multivariate Curve Resolution ◽  
Structural Transitions ◽  
Temperature Dependent ◽  
Curve Resolution ◽  
Near Ir ◽  
Dependent Protein

Dynamic Infrared Linear Dichroism Study of the Temperature-Dependent, Viscoelastic Behavior of a Poly(Ester Urethane)

2005 ◽  
Vol 59 (3) ◽  
pp. 305-315 ◽  
Author(s):  
Yanqia Wang ◽  
Steven R. Aubuchon ◽  
Mark E. Smith ◽  
Jon R. Schoonover ◽  
Richard A. Palmer
Keyword(s):  
Molecular Level ◽  
Viscoelastic Behavior ◽  
Linear Dichroism ◽  
Mechanical Analysis ◽  
Multivariate Curve Resolution ◽  
Temperature Dependent ◽  
Curve Resolution ◽  
Spectral Changes ◽  
Storage And Loss Moduli ◽  
Insight Into

In the study reported here, of the poly(ester urethane), Estane® 5703, simultaneous dynamic mechanical analysis (DMA) and dynamic infrared linear dichroism (DIRLD) measurements have been carried out at continuously variable temperatures from −50 to +30 °C. Multivariate curve resolution–alternating least squares (MCR-ALS) analysis of the spectral data has been correlated with the thermo-mechanical properties. Spectral changes, analyzed as a function of temperature, are compared with the storage and loss moduli to provide insight into viscoelastic behavior at the molecular level. In addition, the data for pure Estane have been compared to those for plasticized Estane samples, which contain 10 and 30% plasticizer by weight. These comparisons show a strong and consistent correlation between the macroscopic rheological properties and the microscopic (molecular, inter-molecular, and sub-molecular) responses of this block co-polymer.

Weighting hyperspectral image data for improved multivariate curve resolution results

2008 ◽  
Vol 22 (9) ◽  
pp. 482-490 ◽  
Author(s):  
Howland D. T. Jones ◽  
David M. Haaland ◽  
Michael B. Sinclair ◽  
David K. Melgaard ◽  
Mark H. Van Benthem ◽  
...  
Keyword(s):  
Hyperspectral Image ◽  
Image Data ◽  
Multivariate Curve Resolution ◽  
Curve Resolution ◽  
Hyperspectral Image Data

Multivariate Curve Resolution Combined with Estimation by Cosine Similarity Mapping of Analytical Data

The Analyst ◽  
2021 ◽  
Author(s):  
Yuya Nagai ◽  
Kenji Katayama
Keyword(s):  
Analytical Data ◽  
Cosine Similarity ◽  
Multivariate Curve Resolution ◽  
Curve Resolution

We developed a multivariate curve resolution (MCR) calculation combined with the mapping of cosine similarity (cos-s) for multiple mixture spectra of chemicals. The cos-s map was obtained by calculating the...

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