PySHS package is a new python open source software which simulates the Second Harmonic Scattering (SHS) of different kind of colloidal nano-object in various experimental configuration. This package is able to compute polarization resolved at a fixed scattered angle or angular distribution for different polarization configurations. This article presents the model implemented in the PySHS software, and gives some computational examples. A comparison between computational results and experimental data concerning molecular dye intercalated inside liposomes membrane is presented to illustrate the possibilities that are given by pySHS.
Zeolitic
materials are commonly used to capture emergent contaminants
in water or complex aqueous effluents. The efficiency of this adsorption
depends strongly on the guest–host interactions and on the
surrounding environment with possible coadsorption of the solvent.
Only a few experimental techniques are available to probe in situ
the sequestration processes at the solid/liquid interface. We propose
in the present work to combine the second harmonic scattering technique
with isothermal titration calorimetry in order to investigate the
adsorption and the confinement of a hemicyanine dye adsorbed inside
faujasite materials. The methodology described here permits the quantification
of the correlations between the confined dyes in the material and
thus gives local information about the organization at the nanometer
scale. Various impacts, such as the effect of the solvent type and
the silicon to aluminum ratio of the zeolitic adsorbent, are quantitatively
estimated and discussed. This work highlights that the most correlated
system matches the higher adsorption capacity associated with the
lower entropic contribution.
PySHS package is a python open source software which simulates the Second Harmonic Scattering (SHS) of different kind of colloidal nano-object in various experimental configuration. This package is able to compute polarization resolved at a fixed scattered angle or angular distribution for different polarization configurations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.