Influence of Silver Nanoparticles on Liposomal Membrane Properties Relevant in Photothermal Therapy
Abstract
1. Introduction
2. Materials and Methods
2.1. Materials Sample Preparation
2.2. Sample Preparation
2.2.1. Liposome Preparation for DSC and FTIR Spectroscopy
2.2.2. Preparation of Giant Unilamellar Vesicles (GUVs) for Shape Fluctuation Analysis
2.3. Infrared (IR) Spectroscopy
2.4. Differential Scanning Calorimetry (DSC)
2.5. Thermally Induced Shape Fluctuation Method
2.6. Laser Irradiation
3. Results
3.1. Transmission Electron Microscopy (TEM)
3.2. Dynamic Light Scattering (DLS)
3.3. Zeta Potential
3.4. UV–Vis Spectroscopy
3.5. Infrared (IR) Spectroscopy
3.6. Differential Scanning Calorimetry (DSC)
3.7. Thermally Induced Shape Fluctuation Method
3.8. Temperature Changes Under the Effect of Laser Irradiation in the Presence of Silver Nanoparticles
4. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| AgNPs | Silver nanoparticles |
| DSC | Differential scanning calorimetry |
| SOPC | 1-stearoyl-2-oleoyl-sn-glycero-3-phosphocholine |
| FTIR-ATR | Fourier-transform infrared spectroscopy with attenuated total reflection |
| IR spectroscopy | Infrared spectroscopy |
| PTT | Photothermal therapy |
| NIR light | Near-infrared light |
| EPR effects | Enhanced permeability and retention |
| TEM | Transmission electron microscopy |
Appendix A. Calculation of Heating Enthalpies of a Set of Samples by DSC (Differential Scanning Calorimetry)
- File-based data input: the user specifies the name of a text file containing tabulated temperature and normalized heat flow measurements from the DSC experiment.
- Trapezoidal numerical integration: the enthalpy (ΔH) for the relevant transition is computed using the trapezoidal rule, applying the general formula.
- User-defined integration range: for each measurement, the user selects the temperature interval for integration to fully capture the enthalpic peak (as determined by the protocol guidance for each sample type).
- Calculation of error due to protocol: the program permits entry of a protocol reference value for enthalpy, against which the calculated result is compared, providing absolute and relative errors.
- Output: all results (file name, calculated ΔH, reference value, error) are displayed and saved as a C.SV file.
Appendix B. Protocol Adherence and Accuracy
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| Sample | EXO Tm (°C) | EXO ΔH (J/g) | ENDO Tm (°C) | ENDO ΔH (J/g) |
|---|---|---|---|---|
| Pure | 3.41 | 0.280 | 5.80 | 0.263 |
| +0.5% AgNPs | 3.20 | 0.279 | 5.80 | 0.306 |
| +1.0% AgNPs | 3.33 | 0.261 | 5.92 | 0.264 |
| +2.5% AgNPs | 2.80 | 0.234 | 6.30 | 0.258 |
| Experimental System | Pure SOPC | SOPC + 1.0 wt% Ag | SOPC + 2.5 wt% Ag | 200 mM Fructose |
|---|---|---|---|---|
| kc × 10−19 [J] | 1.18 ± 0.04 | 1.02 ± 0.10 | 0.93 ± 0.08 | 0.57 ± 0.04 |
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Lyudmilova, M.; Stoychev, L.; Yancheva, D.; Nikolova, S.; Todorova, M.; Xenodochidis, C.; Hristova-Panusheva, K.; Krasteva, N.; Genova, J. Influence of Silver Nanoparticles on Liposomal Membrane Properties Relevant in Photothermal Therapy. Appl. Sci. 2026, 16, 220. https://doi.org/10.3390/app16010220
Lyudmilova M, Stoychev L, Yancheva D, Nikolova S, Todorova M, Xenodochidis C, Hristova-Panusheva K, Krasteva N, Genova J. Influence of Silver Nanoparticles on Liposomal Membrane Properties Relevant in Photothermal Therapy. Applied Sciences. 2026; 16(1):220. https://doi.org/10.3390/app16010220
Chicago/Turabian StyleLyudmilova, Maria, Lyubomir Stoychev, Denitsa Yancheva, Stoyanka Nikolova, Mina Todorova, Charilaos Xenodochidis, Kamelia Hristova-Panusheva, Natalia Krasteva, and Julia Genova. 2026. "Influence of Silver Nanoparticles on Liposomal Membrane Properties Relevant in Photothermal Therapy" Applied Sciences 16, no. 1: 220. https://doi.org/10.3390/app16010220
APA StyleLyudmilova, M., Stoychev, L., Yancheva, D., Nikolova, S., Todorova, M., Xenodochidis, C., Hristova-Panusheva, K., Krasteva, N., & Genova, J. (2026). Influence of Silver Nanoparticles on Liposomal Membrane Properties Relevant in Photothermal Therapy. Applied Sciences, 16(1), 220. https://doi.org/10.3390/app16010220

