Simultaneous size and density determination of polymeric colloids by continuous contrast variation in small angle X-ray scattering

2016 ◽  
Vol 81 ◽  
pp. 641-649 ◽  
Author(s):  
Raul Garcia-Diez ◽  
Aneta Sikora ◽  
Christian Gollwitzer ◽  
Caterina Minelli ◽  
Michael Krumrey
Langmuir ◽  
2016 ◽  
Vol 32 (3) ◽  
pp. 772-778 ◽  
Author(s):  
Raul Garcia-Diez ◽  
Christian Gollwitzer ◽  
Michael Krumrey ◽  
Zoltan Varga

2018 ◽  
Author(s):  
Jorick Maes ◽  
Nicolo Castro ◽  
Kim De Nolf ◽  
Willem Walravens ◽  
Benjamin Abécassis ◽  
...  

<div> <div> <div> <p>The accurate determination of the dimensions of a nano-object is paramount to the de- velopment of nanoscience and technology. Here, we provide procedures for sizing quasi- spherical colloidal nanocrystals (NCs) by means of small-angle x-ray scattering (SAXS). Using PbS NCs as a model system, the protocols outline the extraction of the net NC SAXS pattern by background correction and address the calibration of scattered x-ray intensity to an absolute scale. Different data analysis methods are compared, and we show that they yield nearly identical estimates of the NC diameter in the case of a NC ensemble with a monodisperse and monomodal size distribution. Extending the analysis to PbSe, CdSe </p> </div> </div> <div> <div> <p>and CdS NCs, we provide SAXS calibrated sizing curves, which relate the NC diameter and the NC band-gap energy as determined using absorbance spectroscopy. In compari- son with sizing curves calibrated by means of transmission electron microscopy (TEM), we systematically find that SAXS calibration assigns a larger diameter than TEM calibration to NCs with a given band gap. We attribute this difference to the difficulty of accurately sizing small objects in TEM images. To close, we demonstrate that NC concentrations can be directly extracted from SAXS patterns normalized to an absolute scale, and we show that SAXS-based concentrations agree with concentration estimates based on absorption spectroscopy.</p></div></div></div>


2012 ◽  
Vol 7 (4) ◽  
pp. 107-116
Author(s):  
Sergey Bardakhanov ◽  
Ludmila Vikulina ◽  
Vladimir Lysenko ◽  
Andrey Nomoev ◽  
Sergey Poluyanov ◽  
...  

The possibility of application of small-angle X-ray scattering (SAXS) for nanopowders analysis was studied. The research for eight silica powders (including four powders obtained by the authors with help of electron accelerator) was conducted. The possibility of application of small angle X-ray scattering for determination of size distribution function of nanoparticles was shown


2020 ◽  
Vol 295 (47) ◽  
pp. 15923-15932
Author(s):  
Josue San Emeterio ◽  
Lois Pollack

Despite the threat to human health posed by some single-stranded RNA viruses, little is understood about their assembly. The goal of this work is to introduce a new tool for watching an RNA genome direct its own packaging and encapsidation by proteins. Contrast variation small-angle X-ray scattering (CV-SAXS) is a powerful tool with the potential to monitor the changing structure of a viral RNA through this assembly process. The proteins, though present, do not contribute to the measured signal. As a first step in assessing the feasibility of viral genome studies, the structure of encapsidated MS2 RNA was exclusively detected with CV-SAXS and compared with a structure derived from asymmetric cryo-EM reconstructions. Additional comparisons with free RNA highlight the significant structural rearrangements induced by capsid proteins and invite the application of time-resolved CV-SAXS to reveal interactions that result in efficient viral assembly.


1992 ◽  
Vol 36 ◽  
pp. 355-372
Author(s):  
George D. Wignall

Scattering technigues have been employed since the beginnings of polymer science to provide information on the spatial arrangements of macromolecules. The first measurements were made in the 1920s and were concerned primarily with the determination of crystal structures via the Bragg lawnλ = 2dsinθ.


2012 ◽  
Vol 31 (2) ◽  
pp. 135-140 ◽  
Author(s):  
Trushar R. Patel ◽  
Raphael Reuten ◽  
Shawn Xiong ◽  
Markus Meier ◽  
Donald J. Winzor ◽  
...  

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