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Qualitative and quantitative analysis of the biophysical interaction of inhaled nanoparticles with pulmonary surfactant by using quartz crystal microbalance with dissipation monitoring

Wan, Feng; Nylander, Tommy LU ; Foged, Camilla; Yang, Mingshi; Baldursdottir, Stefania G. and Nielsen, Hanne M. (2019) In Journal of Colloid and Interface Science 545. p.162-171
Abstract


Understanding the interaction between inhaled nanoparticles and pulmonary surfactant is a prerequisite for predicting the fate of inhaled nanoparticles. Here, we introduce a quartz crystal microbalance with dissipation monitoring (QCM-D)-based methodology to reveal the extent and nature of the biophysical interactions of polymer- and lipid-based nanoparticles with pulmonary surfactant. By fitting the QCM-D data to the Langmuir adsorption equation, we determined the kinetics and equilibrium parameters [i.e., maximal adsorption (Δm
max
),... (More)


Understanding the interaction between inhaled nanoparticles and pulmonary surfactant is a prerequisite for predicting the fate of inhaled nanoparticles. Here, we introduce a quartz crystal microbalance with dissipation monitoring (QCM-D)-based methodology to reveal the extent and nature of the biophysical interactions of polymer- and lipid-based nanoparticles with pulmonary surfactant. By fitting the QCM-D data to the Langmuir adsorption equation, we determined the kinetics and equilibrium parameters [i.e., maximal adsorption (Δm
max
), equilibrium constant (K
a
), adsorption rate constant (k
a
) and desorption rate constant (k
d
)] of polymeric nanoparticles adsorption onto the pulmonary surfactant (e.g., an artificial lipid mixture and an extract of porcine lung surfactant). Furthermore, our results revealed that the nature of the interactions between lipid-based nanoparticles (e.g., liposomes) and pulmonary surfactant was governed by the liposomal composition, i.e., incorporation of cholesterol and PEGylated phospholipid (DSPE-PEG
2000
) into DOPC-based liposomes led to the adsorption of intact liposomes onto the pulmonary surfactant layer and the mass exchange between the liposomes and pulmonary surfactant layer, respectively. In conclusion, we demonstrate the applicability of the QCM-D technique for qualitative and quantitative analysis of the biophysical interaction of inhaled nanoparticles with pulmonary surfactant, which is vital for rational design and optimization of inhalable nanomedicines.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bio-nano interaction, Fusogenic liposomes, Inhaled nanoparticles, PLGA nanoparticles, Pulmonary surfactant, Quartz crystal microbalance with dissipation monitoring (QCM-D)
in
Journal of Colloid and Interface Science
volume
545
pages
10 pages
publisher
Elsevier
external identifiers
  • scopus:85062729451
ISSN
0021-9797
DOI
10.1016/j.jcis.2019.02.088
language
English
LU publication?
yes
id
51d285f6-23c3-43f3-b283-c4a8366c1d0f
date added to LUP
2019-03-19 09:06:45
date last changed
2019-04-23 04:46:55
@article{51d285f6-23c3-43f3-b283-c4a8366c1d0f,
  abstract     = {<p><br>
                                                         Understanding the interaction between inhaled nanoparticles and pulmonary surfactant is a prerequisite for predicting the fate of inhaled nanoparticles. Here, we introduce a quartz crystal microbalance with dissipation monitoring (QCM-D)-based methodology to reveal the extent and nature of the biophysical interactions of polymer- and lipid-based nanoparticles with pulmonary surfactant. By fitting the QCM-D data to the Langmuir adsorption equation, we determined the kinetics and equilibrium parameters [i.e., maximal adsorption (Δm                             <br>
                            <sub>max</sub><br>
                                                         ), equilibrium constant (K                             <br>
                            <sub>a</sub><br>
                                                         ), adsorption rate constant (k                             <br>
                            <sub>a</sub><br>
                                                         ) and desorption rate constant (k                             <br>
                            <sub>d</sub><br>
                                                         )] of polymeric nanoparticles adsorption onto the pulmonary surfactant (e.g., an artificial lipid mixture and an extract of porcine lung surfactant). Furthermore, our results revealed that the nature of the interactions between lipid-based nanoparticles (e.g., liposomes) and pulmonary surfactant was governed by the liposomal composition, i.e., incorporation of cholesterol and PEGylated phospholipid (DSPE-PEG                             <br>
                            <sub>2000</sub><br>
                                                         ) into DOPC-based liposomes led to the adsorption of intact liposomes onto the pulmonary surfactant layer and the mass exchange between the liposomes and pulmonary surfactant layer, respectively. In conclusion, we demonstrate the applicability of the QCM-D technique for qualitative and quantitative analysis of the biophysical interaction of inhaled nanoparticles with pulmonary surfactant, which is vital for rational design and optimization of inhalable nanomedicines.                         <br>
                        </p>},
  author       = {Wan, Feng and Nylander, Tommy and Foged, Camilla and Yang, Mingshi and Baldursdottir, Stefania G. and Nielsen, Hanne M.},
  issn         = {0021-9797},
  keyword      = {Bio-nano interaction,Fusogenic liposomes,Inhaled nanoparticles,PLGA nanoparticles,Pulmonary surfactant,Quartz crystal microbalance with dissipation monitoring (QCM-D)},
  language     = {eng},
  pages        = {162--171},
  publisher    = {Elsevier},
  series       = {Journal of Colloid and Interface Science},
  title        = {Qualitative and quantitative analysis of the biophysical interaction of inhaled nanoparticles with pulmonary surfactant by using quartz crystal microbalance with dissipation monitoring},
  url          = {http://dx.doi.org/10.1016/j.jcis.2019.02.088},
  volume       = {545},
  year         = {2019},
}