| Literature DB >> 29715032 |
Filip Duša1, Wen Chen2, Joanna Witos3, Susanne K Wiedmer2.
Abstract
Nanoplasmonic sensing (NPS), based on localized surface plasmon resonance, with sensors composed of glass covered with golden nanodisks and overlaid with a SiO2 coating was applied in this study. Egg phosphatidylcholine (eggPC), being an easily accessible membrane-forming lipid, was used for preparation of biomimicking membranes. Small unilamellar vesicles with an approximate hydrodynamic diameter of 30 nm, formed by sonication in 4-(2-hydroxyethyl)piperazine-1-ethanesulfonic acid buffer, were adsorbed within 10 min on the sensor surface either as intact vesicles or as a planar bilayer. The adsorbed biomembrane systems were further utilized for interaction studies with four different well-known surfactants (negatively and positively charged, zwitterionic, and nonionic) and each surfactant was tested at concentrations below and above the critical micelle concentration (CMC). Our results allowed the evaluation of different NPS patterns for every particular supported membrane system, surfactant, and its concentration. The most significant effect on the membrane was achieved upon the introduction of zwitterionic surfactant micelles, which in fact completely solubilized and removed the lipid membranes from the sensor surface. Other surfactant micelles interacted with the membranes and formed mixed structures remaining on the sensor surface. The studies performed at the concentrations below the CMCs of the surfactants showed that different mixed systems were formed. Depending on the supported membrane system and the type of surfactant, the mixed systems indicated different formation kinetics. Additionally, the final water rinse revealed the stability of the formed systems. To investigate the effect of the studied surfactants on the overall surface charge of the biomembrane, capillary electrophoresis (CE) experiments were carried out in parallel with the NPS analysis. The electroosmotic flow mobility of an eggPC-coated fused silica capillary was used to measure the total surface charge of the biomembrane after its treatment with the surfactants. Our results indicated in general good correlation between CE and NPS data. However, some discrepancies were seen while applying either zwitterionic or positively charged surfactants. This confirmed that CE analysis was able to provide additional data about the investigated systems. Taken together, the combination of NPS and CE proved to be an efficient way to describe the nature of interactions between biomimicking membranes and amphiphilic molecules.Entities:
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Year: 2018 PMID: 29715032 PMCID: PMC6150717 DOI: 10.1021/acs.langmuir.8b01074
Source DB: PubMed Journal: Langmuir ISSN: 0743-7463 Impact factor: 3.882
Figure 1Change in the peak shift (shift of maximum-extinction wavelength) as a function of time for 0.15 mM sonicated eggPC SUVs after adsorption onto a SiO2-coated NPS sensor in two different forms of supported lipids (consisting of two repetitions of each, denoted as no. 1 and 2 in both graphs). (A) Pretreatment: 5 min of water, 5 min of HEPES buffer pH 7.4 (I = 10 mM) containing 5 mM CaCl2; the plot shows SLB formation during 5 min of application of 0.15 mM SUV in HEPES buffer pH 7.4 (I = 10 mM) containing 5 mM CaCl2. (B) Pretreatment: 5 min of water, 5 min of 2 M HNO3, and 10 min of water; the plot shows adsorption of intact SUVs during 10 min of application of 0.15 mM SUVs in HEPES buffer pH 7.4 (I = 10 mM). All measurements were carried out under continuous flow at a flow rate of 100 μL/min. Insets with first-order derivatives were made using OriginPro 8.6 plotting software. (The ∼1 min delay of signal response in the plot compared with the change of the solution by time schedule was caused by ∼100 μL of dead volume of delivering tube.)
Figure 2Change in the peak shift (shift of maximum-extinction wavelength) as a function of time for eggPC SLB-coated SiO2 NPS sensors (black for unimers and red for micelles). Blank measurements of the surfactants are also shown as dashed lines with lighter colors (gray for unimers and light red for micelles), which were measured on the bare sensor without eggPC membrane. One repetition out of two is shown for easier presentation. All changes of solutions are marked by arrows with a description (A) interaction of 0.1 and 0.5 mM Triton X-100 with SLB on bare SiO2-coated sensor; (B) interaction of 3 and 16 mM SDS with SLB on bare SiO2-coated sensor; (C) interaction of 2 and 16 mM CHAPS with SLB on bare SiO2-coated sensor; (D) interaction of 0.5 and 2.0 mM CTAB with SLB on bare SiO2-coated sensor.
Figure 3Change in the peak shift (shift of maximum-extinction wavelength) as a function of time for eggPC SVL-coated SiO2 NPS sensors (black for unimers and red for micelles). One repetition out of two is shown for easier presentation. All changes of solutions are marked by arrows with a description: (A) interaction of 0.1 and 0.5 mM Triton X-100 with SVL on bare SiO2-coated sensor; (B) interaction of 3 and 16 mM SDS with SVL on bare SiO2-coated sensor; (C) interaction of 2 and 16 mM CHAPS with SVL on bare SiO2-coated sensor; (D) interaction of 0.5 and 2.0 mM CTAB with SVL on bare SiO2-coated sensor.
Critical Micelle Concentrations of the Studied Surfactants in Water
| surfactant | CMC (mM) | measurement method, temperature | reference |
|---|---|---|---|
| Triton X-100 | 0.24 | surface tension, 25 °C | ( |
| SDS | 8.2 | surface tension, 25 °C | ( |
| CHAPS | 6.67 | ultrafiltration, 22 °C | ( |
| CTAB | 0.80 | surface tension, 25 °C | ( |
EOF Analysis of Interactions between Surfactants and eggPC SLBs or SVLsa
| surfactant | concentration (mM) | adsorbed type of membrane | coated capillary EOF (10–8 m2 V–1 s–1) | RSD (%) | EOF after surfactant rinse (10–8 m2 V–1 s–1) | RSD (%) | relative EOF change (%) |
|---|---|---|---|---|---|---|---|
| Triton X-100 | 0.1 | SLB (+5 mM CaCl2) | 3.05 | 5.0 | 3.49 | 2.3 | 14.5 |
| 0.5 | SLB (+5 mM CaCl2) | 2.76 | 7.2 | 3.23 | 3.9 | 17.4 | |
| 0.1 | SVL (2 M HNO3) | 2.26 | 15.5 | 3.10 | 3.8 | 37.1 | |
| 0.5 | SVL (2 M HNO3) | 2.41 | 9.2 | 3.27 | 3.7 | 35.5 | |
| SDS | 3.0 | SLB (+5 mM CaCl2) | 2.89 | 2.2 | 2.92 | 5.0 | 1.1 |
| 16.0 | SLB (+5 mM CaCl2) | 2.30 | 1.9 | 4.54 | 3.2 | 97.7 | |
| 3.0 | SVL (2 M HNO3) | 2.58 | 4.6 | 2.70 | 2.7 | 4.7 | |
| 16.0 | SVL (2 M HNO3) | 2.43 | 6.1 | 4.64 | 3.6 | 91.3 | |
| CHAPS | 2.0 | SLB (+5 mM CaCl2) | 2.91 | 3.9 | 3.02 | 3.6 | 3.5 |
| 16.0 | SLB (+5 mM CaCl2) | 3.04 | 1.6 | 4.08 | 0.5 | 34.3 | |
| 2.0 | SVL (2 M HNO3) | 2.24 | 10.2 | 3.00 | 3.7 | 34.1 | |
| 16.0 | SVL (2 M HNO3) | 2.21 | 4.9 | 5.00 | 1.9 | 126.4 | |
| CTAB | 0.5 | SLB (+5 mM CaCl2) | 3.00 | 2.3 | 1.19 | 15.0 | –60.3 |
| 2.0 | SLB (+5 mM CaCl2) | 2.52 | 3.8 | 1.02 | 15.0 | –59.8 | |
| 0.5 | SVL (2 M HNO3) | 1.80 | 8.0 | 2.24 | 16.6 | 24.3 | |
| 2.0 | SVL (2 M HNO3) | 1.54 | 5.7 | 1.80 | 10.7 | 17.4 |
n = 5 (8 min electrophoretic analysis).
Only three runs were measured when EOF marker was possible to detect within the standard 8 min measured time window.
Only two runs were measured when EOF marker was possible to detect within the extended measurement window of 15 min.