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1.
Biomacromolecules ; 17(1): 183-91, 2016 Jan 11.
Article in English | MEDLINE | ID: mdl-26644143

ABSTRACT

High-performance, biobased materials can potentially be manufactured from polymerized α-amino acids (α-polypeptides). This paper reports on the synthesis, structure, and properties of both polyalanine enantiomers (PLAla and PDAla). The molecular structure of the polypeptide chains, their molecular weight, and polydispersity were investigated by (1)H NMR, MALDI-TOF, and size-exclusion chromatography. The secondary structure and crystalline order were probed via Fourier transform infrared spectroscopy, circular dichroism, and (synchrotron) wide-angle X-ray diffraction. The phase behavior and thermal stability were assessed by differential scanning calorimetry and thermogravimetric analysis. The kinetically trapped PAla chain conformation in the solid state, after synthesis or solvent treatments, is the α-helical shape. Upon heating, crystals from the α-helices convert into more stable crystals from ß-sheets at a temperature higher than 210 °C. This temperature is close to where polymer degradation sets in. The ß-sheet crystals combine melting with thermal degradation at temperatures above 330 °C. In the presence of superheated water, the conversion from α-helices to ß-sheets happens at lower temperatures, allowing for a conversion without degradation.


Subject(s)
Peptides/chemistry , Calorimetry, Differential Scanning/methods , Kinetics , Magnetic Resonance Spectroscopy/methods , Polymers/chemistry , Protein Structure, Secondary , Spectroscopy, Fourier Transform Infrared/methods , Stereoisomerism , Temperature , Thermodynamics , Water/chemistry , X-Ray Diffraction/methods
2.
Angew Chem Int Ed Engl ; 54(40): 11804-8, 2015 Sep 28.
Article in English | MEDLINE | ID: mdl-26259539

ABSTRACT

The properties of many functional materials depend critically on the spatial distribution of an active phase within a support. In the case of solid catalysts, controlling the spatial distribution of metal (oxide) nanoparticles at the mesoscopic scale offers new strategies to tune their performance and enhance their lifetimes. However, such advanced control requires suitable characterization methods, which are currently scarce. Here, we show how the background in small-angle X-ray scattering patterns can be analyzed to quantitatively access the mesoscale distribution of nanoparticles within supports displaying hierarchical porosity. This is illustrated for copper catalysts supported on meso- and microporous silica displaying distinctly different metal distributions. Results derived from X-ray scattering are in excellent agreement with electron tomography. Our strategy opens unprecedented prospects for understanding the properties and to guide the synthesis of a wide array of functional nanomaterials.

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