Abstract
There is increasing interest in using quartz crystal microbalance with dissipation monitoring (QCM-D) to investigate the interaction of nanoparticles (NPs) with model surfaces. The high sensitivity, ease of use and the ability to monitor interactions in real-time has made it a popular technique for colloid chemists, biologists, bioengineers, and biophysicists. QCM-D has been recently used to probe the interaction of NPs with supported lipid bilayers (SLBs) as model cell membranes. The interaction of NPs with SLBs is highly influenced by the quality of the lipid bilayers. Unlike many surface sensitive techniques, by using QCM-D, the quality of SLBs can be assessed in real-time, hence QCM-D studies on SLB-NP interactions are less prone to the artifacts arising from bilayers that are not well formed. The ease of use and commercial availability of a wide range of sensor surfaces also have made QCM-D a versatile tool for studying NP interactions with lipid bilayers. In this review, we summarize the state-of-the-art on QCM-D based techniques for probing the interactions of NPs with lipid bilayers.
Introduction
Quartz crystal microbalance with dissipation monitoring (QCM-D) is an acoustic surface sensitive technique for studying phenomena at a wide range of interfaces. QCM-D is essentially a piezoelectric quartz crystal which oscillates at its fundamental frequency in response to an applied AC voltage (Reviakine et al., ). As the name suggests, QCM-D is a microbalance in which deposition and detachment of species result in changes in the oscillation frequency (Figure 1A). In addition, when the AC voltage is turned off, the dissipation of energy in the crystal is influenced by the viscoelastic properties and bond stiffness of the adhered species (Kunze et al., ). Commercially available QCM-Ds can detect mass depositions as small as a few ng/cm2, thus they can be used in detection of small molecules, proteins, viruses, and NPs (Reviakine et al., ).
Figure 1
Due to their high specific surface area and enhanced mechanical, optical, electrical, and chemical properties, NPs are being widely used in many engineering applications; however, their environmental fate and transformations, as well as their interaction with cells are subjects of ongoing research. Although, several surface sensitive techniques have been developed for studying the interaction of NPs with model surfaces and membranes, many of them lack the ability to probe their course of interaction in real-time, with molecular level precision and without the use of probe molecules such as dyes. Even in methods such as atomic force microscopy (AFM), the interaction of the probe tip with sample can create experimental artifacts (Picas et al.,
SLBs are planar arrangements of phospholipids that are extensively used as model membranes of mammalian and microbial cells (Chen and Bothun,
The interaction of NPs with SLBs usually starts with their deposition on the bilayers. The deposition of NPs is a phenomenon that can be readily detected using the frequency and dissipation signal of QCM-D (Yousefi et al.,
In this mini-review, we will focus on the current advances in using QCM-D for studying NP interaction with SLBs. QCM-D has been also used to probe the interaction of proteins and other biomolecules with SLBs; however, these topics are beyond the scope of this review and we will focus on probing the interaction of NPs with SLBs.
Formation and characterization of SLBs using QCM-D
Formation of SLBs using QCM-D is typically achieved by the vesicle fusion method. An aqueous dispersion of lipid vesicles is exposed to a chosen substrate through static incubation or continuous flow, which results in the adhesion of vesicles to the substrate. As a result of substrate crowding by neighboring vesicles, they spontaneously collapse to form planar lipid bilayers (Cho et al.,
In addition to simple single component lipids, binary and ternary lipid mixtures have been successfully used for formation of SLBs (Frost et al.,
As mentioned previously, one advantage of QCM-D is the commercial availability of quartz sensors with a wide variety of surface coatings such as gold, silica, alumina, titania, and other metals, metal oxides, and polymers. Coating the sensors with molecules such as l-cystine and self-assembled monolayers (SAMs) has also been reported (Yi and Chen,
QCM-D can also be used to monitor the phase transition temperature of SLBs (Wargenau and Tufenkji,
Probing the interaction of NPs with SLBs using QCM-D
There is growing interest in QCM-D as a valuable method for studying NP interactions with SLBs. Table 1 summarizes the scientific literature on the use of QCM-D for studying SLB-NP interactions.
Table 1
| NP type | NP size (nm) | Lipid type | Studied parameter | References |
|---|---|---|---|---|
| Gold | 2, 4, 10, 40 | α-PC | Natural organic matter | Bailey et al., |
| Polyamidoamine | 200 | POPC:POPS | Drug release | Frost et al., |
| GO | – | POPC:POEPC | Interaction mechanism | Frost et al., |
| Gold | 4 | DOPC+LPS | NP interaction with LPS | Jacobson et al., |
| Polystyrene latex | 28, 62, 140 | α-PC | Hydrophobicity and size | Jing and Zhu, |
| Polystyrene latex | 130 | α-PC | Ionic type and strength | Jing et al., |
| Cu, CuO, Cu-Zn | 20–200 | POPC:POPS | Interaction mechanism | Karlsson et al., |
| Cu, CuO, Cu-Zn | 20–200 | POPC:POPG | Interaction mechanism | Karlsson et al., |
| Polystyrene latex | 40, 100 | POPC | Hard NP corona | Lesniak et al., |
| Silica | 50 | POPC | Hard NP corona | Lesniak et al., |
| GO | – | DOPC | Ionic type and strength | Liu and Chen, |
| Silica | 36 | DOPC | Ionic type and strength | Liu and Chen, |
| Ceria | 39 | DOPC | Ionic type and strength | Liu and Chen, |
| Alumina | 38 | DOPC | Ionic type and strength | Liu and Chen, |
| Gold | 4 | DOPC+Chol.+SM | Lipid raft | Melby et al., |
| Gold | 4 | DOPC | Interaction mechanism | Troiano et al., |
| Gold | 4 | DOPC:DOTAP | Interaction mechanism | Troiano et al., |
| Silver | 49–65 | DOPC | Soft NP corona | Wang et al., |
| MWCNTs | – | DOPC | Ionic type and strength | Yi and Chen, |
| CdSe | – | DOPC | pH and ionic strength | Zhang and Yang, |
| CdSe | – | DOPC:DOTAP | pH and ionic strength | Zhang and Yang, |
| Airborne particles | <2.5 μm | DOPC, DOPG | Simulated lung fluid | Zhou et al., |
| Polystyrene latex | 20 | POPE:POPG | Interfacial interactions | Yousefi et al., |
Summary of the literature on probing NP interactions with SLBs using QCM-D.
The interaction of a wide variety of NPs such as gold, graphene oxide (GO), multiwalled carbon nanotubes (MWCNTs), silver, polystyrene, silica, metals/metal oxides, and even environmental particulate matter has been studied. The objectives of these studies range from investigating the effect of solution conditions such as pH, ionic strength, and valence on the aggregation and deposition of NPs on SLBs to more complex studies where the effect of substrate-SLB interfacial interactions are investigated. In the following sections, some of these studies are discussed in more detail.
Effect of solution chemistry on the interactions of NPs with lipid bilayers
Due to the flow-through nature of QCM-D experiments, changing experimental variables such as solution pH, ionic strength, and valence is facile and many of the studies have primarily focused on studying the effect of solution chemistry and other environmental variables on the aggregation and deposition of NPs on SLB coated surfaces (Chen and Bothun,
In a similar work, Liu and Chen (
In an early study, Zhang and Yang (
A clearer picture on the effect of various cations and anions on the interaction of NPs with SLBs is given by Jing et al. (
Effect of environmental and biological transformations on the interaction of NPs with lipid bilayers
Once they interact with their surrounding environments, most NPs are transformed by processes such as dissolution, adsorption, oxidation, and reduction, occasionally leading to drastic changes of the properties of the “pristine” original NPs. Natural organic matter (NOM)—natural macromolecules that are the by-products of decay—often covers the surface of NPs once they are introduced into aquatic or soil environments (Lowry et al.,
Bailey et al. (
Recent studies have focused more on the biological transformation of NPs and their effect on their interaction with SLBs. Liu and Chen (
The effect of protein corona has also been investigated using carboxylated polystyrene latex and unmodified silica NPs (Lesniak et al.,
Advanced lipid nano-engineering: complex multi-component lipid mixtures, NP-lipid assemblies and lipid poration sensors
The versatility of the QCM-D sensor surface provides a considerable advantage as it makes it possible to successfully form complex lipid structures. Incorporation of lipopolysaccharides (LPS) and phase segregated lipid rafts are among these complex structures. Jacobson et al. (
In an effort to better replicate the complex structure of mammalian cells, Melby et al. (
Controlling and characterizing the interfacial interaction of SLBs with their underlying substrates is a new QCM-D based technique developed in our laboratory (Yousefi et al.,
Conclusions and future outlook
QCM-D is a versatile surface sensitive technique for probing the interactions of NPs with model lipid bilayers such as SLBs and SVLs. The sensitivity of QCM-D, along with the possibility to monitor the interaction phenomena in situ has made it a technique of choice in studies on NP cytotoxicity, drug delivery and lipid self-assembly. Based on the analysis of the literature, QCM-D has been successfully used to investigate a wide range of lipid systems and NPs, from simple to more complex. However, the role of QCM-D as a sensor for integrity of SLBs has been overlooked and we expect to see more studies on the role of this versatile technique for real-time monitoring of lipid bilayer structural robustness in the near future.
Statements
Author contributions
NY and NT reviewed the literature and wrote the manuscript text.
Acknowledgments
The authors acknowledge A. Olsson for preparing Figure 1A. This research was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), Environment Canada, the Canada Research Chairs (CRC) program, and a MEDA to NY.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The reviewer CD and handling Editor declared their shared affiliation, and the handling Editor states that the process nevertheless met the standards of a fair and objective review.
- α-PC
L-α-phosphatidylcholine
- AFM
Atomic force microscope
- Chol.
Cholesterol
- Cryo-TEM
Cryogenic transmission electron microscope
- DOPC
1,2-dioleoyl-sn-glycero-3-phosphocholine
- DOPG
1,2-dioleoyl-sn-glycero-3-phospho-(1′-rac-glycerol)
- DOTAP
1,2-dioleoyl-3-trimethylammonium-propane
- GO
Graphene oxide
- LPS
Lipopolysaccharides
- MWCNT
Multiwalled carbon nanotube
- NOM
Natural organic matter
- NP
Nanoparticle
- PMMA
Polymethylmethacrylate
- POEPC
1-palmitoyl-2-oleoyl-sn-glycero-3-ethylphosphocholine
- POPC
1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine
- POPE
1-palmitoyl-2-oleoyl-sn-glycero-3-phosphoethanolamine
- POPG
1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-(1′-rac-glycerol)
- POPS
1-palmitoyl-2-oleoyl-sn-glycero-3-phospho-L-serine
- QCM-D
Quartz crystal microbalance with dissipation monitoring
- QD
Quantum dot
- SAM
Self assembled monolayer
- SLB
Supported lipid bilayer
- SM
Sphingomyelin
- SVL
Supported vesicular layer
Nomenclature
References
1
BaileyC. M.KamalooE.WatermanK. L.WangK. F.NagarajanR.CamesanoT. A. (2015). Size dependence of gold nanoparticle interactions with a supported lipid bilayer: a QCM-D study. Biophys. Chem.203, 51–61. 10.1016/j.bpc.2015.05.006
2
ChenK. L.BothunG. D. (2013). Nanoparticles meet cell membranes: probing nonspecific interactions using model membranes. Environ. Sci. Technol.48, 873–880. 10.1021/es403864v
3
ChoN.-J.FrankC. W.KasemoB.HöökF. (2010). Quartz crystal microbalance with dissipation monitoring of supported lipid bilayers on various substrates. Nat. Protoc.5, 1096–1106. 10.1038/nprot.2010.65
4
FrostR.CouéG.EngbersenJ. F.ZächM.KasemoB.SvedhemS. (2011). Bioreducible insulin-loaded nanoparticles and their interaction with model lipid membranes. J. Colloid Interface Sci.362, 575–583. 10.1016/j.jcis.2011.05.082
5
FrostR.JönssonG. E.ChakarovD.SvedhemS.KasemoB. (2012). Graphene oxide and lipid membranes: interactions and nanocomposite structures. Nano Lett.12, 3356–3362. 10.1021/nl203107k
6
JacobsonK. H.GunsolusI. L.KuechT. R.TroianoJ. M.MelbyE. S.LohseS. E.et al. (2015). Lipopolysaccharide density and structure govern the extent and distance of nanoparticle interaction with actual and model bacterial outer membranes. Environ. Sci. Technol.49, 10642–10650. 10.1021/acs.est.5b01841
7
JingB.AbotR. C.ZhuY. (2014). Semihydrophobic nanoparticle-induced disruption of supported lipid bilayers: specific ion effect. J. Phys. Chem. B118, 13175–13182. 10.1021/jp5074945
8
JingB.ZhuY. (2011). Disruption of supported lipid bilayers by semihydrophobic nanoparticles. J. Am. Chem. Soc.133, 10983–10989. 10.1021/ja2040305
9
KarlssonH. L.CronholmP.HedbergY.TornbergM.De BatticeL.SvedhemS.et al. (2013). Cell membrane damage and protein interaction induced by copper containing nanoparticles—Importance of the metal release process. Toxicology313, 59–69. 10.1016/j.tox.2013.07.012
10
KunzeA.ZhaoF.MarelA.-K.SvedhemS.KasemoB. (2011). Ion-mediated changes of supported lipid bilayers and their coupling to the substrate. A case of bilayer slip?Soft Matter7, 8582–8591. 10.1039/c1sm05886j
11
LesniakA.SalvatiA.Santos-MartinezM. J.RadomskiM. W.DawsonK. A.ÅbergC. (2013). Nanoparticle adhesion to the cell membrane and its effect on nanoparticle uptake efficiency. J. Am. Chem. Soc.135, 1438–1444. 10.1021/ja309812z
12
LiuX.ChenK. L. (2015). Interactions of graphene oxide with model cell membranes: probing nanoparticle attachment and lipid bilayer disruption. Langmuir31, 12076–12086. 10.1021/acs.langmuir.5b02414
13
LiuX.ChenK. L. (2016). Aggregation and interactions of chemical mechanical planarization nanoparticles with model biological membranes: role of phosphate adsorption. Environ. Sci.3, 146–156. 10.1039/c5en00176e
14
LowryG. V.GregoryK. B.ApteS. C.LeadJ. R. (2012). Transformations of nanomaterials in the environment. Environ. Sci. Technol.46, 6893–6899. 10.1021/es300839e
15
MelbyE. S.MenschA. C.LohseS. E.HuD.OrrG.MurphyC. J.et al. (2016). Formation of supported lipid bilayers containing phase-segregated domains and their interaction with gold nanoparticles. Environ. Sci.3, 45–55. 10.1039/c5en00098j
16
OlssonA. L. J.WargenauA.TufenkjiN. (2016). Optimizing bacteriophage surface densities for bacterial capture and sensing in Quartz Crystal Microbalance with Dissipation Monitoring. ACS Appl. Mater. Interfaces8, 13698–13706. 10.1021/acsami.6b02227
17
PearsonR. M.JuettnerV. V.HongS. (2014). Biomolecular corona on nanoparticles: a survey of recent literature and its implications in targeted drug delivery. Front. Chem.2:108. 10.3389/fchem.2014.00108
18
PicasL.MilhietP.-E.Hernández-BorrellJ. (2012). Atomic force microscopy: a versatile tool to probe the physical and chemical properties of supported membranes at the nanoscale. Chem. Phys. Lipids165, 845–860. 10.1016/j.chemphyslip.2012.10.005
19
QuevedoI. R.OlssonA. L.TufenkjiN. (2013). Deposition kinetics of quantum dots and polystyrene latex nanoparticles onto alumina: role of water chemistry and particle coating. Environ. Sci. Technol.47, 2212–2220. 10.1021/es303392v
20
QuevedoI. R.OlssonA. L. J.ClarkR. J.VeinotJ. G. C.TufenkjiN. (2014). Interpreting deposition behavior of polydisperse surface-modified nanoparticles using QCM-D and sand-packed columns. Environ. Eng. Sci.31, 326–337. 10.1089/ees.2013.0302
21
ReviakineI.JohannsmannD.RichterR. P. (2011). Hearing what you cannot see and visualizing what you hear: interpreting quartz crystal microbalance data from solvated interfaces. Anal. Chem.83, 8838–8848. 10.1021/ac201778h
22
RichterR.MukhopadhyayA.BrissonA. (2003). Pathways of lipid vesicle deposition on solid surfaces: a combined QCM-D and AFM study. Biophys. J.85, 3035–3047. 10.1016/S0006-3495(03)74722-5
23
RichterR. P.BératR.BrissonA. R. (2006). Formation of solid-supported lipid bilayers: an integrated view. Langmuir22, 3497–3505. 10.1021/la052687c
24
SackmannE. (1996). Supported membranes: scientific and practical applications. Science271, 43–48. 10.1126/science.271.5245.43
25
TroianoJ. M.OlenickL. L.KuechT. R.MelbyE. S.HuD.LohseS. E.et al. (2014). Direct probes of 4 nm diameter gold nanoparticles interacting with supported lipid bilayers. J. Phys. Chem. C119, 534–546. 10.1021/jp512107z
26
WangQ.LimM.LiuX.WangZ.ChenK. L. (2016). Influence of solution chemistry and soft protein coronas on the interactions of silver nanoparticles with model biological membranes. Environ. Sci. Technol.50, 2301–2309. 10.1021/acs.est.5b04694
27
WargenauA.TufenkjiN. (2014). Direct detection of the del–fluid phase transition of a single supported phospholipid bilayer using quartz crystal microbalance with dissipation monitoring. Anal. Chem.86, 8017–8020. 10.1021/ac5019183
28
YiP.ChenK. L. (2013). Interaction of multiwalled carbon nanotubes with supported lipid bilayers and vesicles as model biological membranes. Environ. Sci. Technol.47, 5711–5719. 10.1021/es4002604
29
YousefiN.WargenauA.TufenkjiN. (2016). Towards more free-floating model cell membranes: method development and application to their interaction with nanoparticles. ACS Appl. Mater. Interf.8, 14339–14348. 10.1021/acsami.6b00775
30
ZhangX.YangS. (2011). Nonspecific adsorption of charged quantum dots on supported zwitterionic lipid bilayers: real-time monitoring by quartz crystal microbalance with dissipation. Langmuir27, 2528–2535. 10.1021/la104449y
31
ZhouQ.WangL.CaoZ.ZhouX.YangF.FuP.et al. (2016). Dispersion of atmospheric fine particulate matters in simulated lung fluid and their effects on model cell membranes. Sci. Total Environ.542, 36–43. 10.1016/j.scitotenv.2015.10.083
Summary
Keywords
nanoparticles, lipid bilayer, quartz crystal microbalance, QCM-D, cell membrane
Citation
Yousefi N and Tufenkji N (2016) Probing the Interaction between Nanoparticles and Lipid Membranes by Quartz Crystal Microbalance with Dissipation Monitoring. Front. Chem. 4:46. doi: 10.3389/fchem.2016.00046
Received
12 October 2016
Accepted
18 November 2016
Published
05 December 2016
Volume
4 - 2016
Edited by
Alexei Lapkin, University of Cambridge, UK
Reviewed by
Maria Graca Rasteiro, University of Coimbra, Portugal; Carmine D'Agostino, University of Cambridge, UK
Updates

Check for updates
Copyright
© 2016 Yousefi and Tufenkji.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Nathalie Tufenkji nathalie.tufenkji@mcgill.ca
This article was submitted to Chemical Engineering, a section of the journal Frontiers in Chemistry
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.