| Bibtype | Article |
|---|---|
| Bibkey | Shpacovitch/etal/2017a |
| Author | Shpacovitch, Victoria and Sidorenko, Irina and Lenssen, Jan Eric and Temchura, Vladimir and Weichert, Frank and Müller, Heinrich and Überla, Klaus and Zybin, Alexander and Schramm, Alexander and Hergenröder, Roland |
| Title | Application of the PAMONO-sensor for Quantification of Microvesicles and Determination of Nano-particle Size Distribution |
| Journal | Sensors |
| Volume | 17 |
| Number | 2 |
| Pages | 1-14 |
| Abstract | The PAMONO-sensor (plasmon assisted microscopy of nano-objects) demonstrated an ability to detect and quantify individual viruses and virus-like particles. However, another group of biological vesicles-microvesicles (100-1000 nm)-also attracts growing interest as biomarkers of different pathologies and needs development of novel techniques for characterization. This work shows the applicability of a PAMONO-sensor for selective detection of microvesicles in aquatic samples. The sensor permits comparison of relative concentrations of microvesicles between samples. We also study a possibility of repeated use of a sensor chip after elution of the microvesicle capturing layer. Moreover, we improve the detection features of the PAMONO-sensor. The detection process utilizes novel machine learning techniques on the sensor image data to estimate particle size distributions of nano-particles in polydisperse samples. Altogether, our findings expand analytical features and the application field of the PAMONO-sensor. They can also serve for a maturation of diagnostic tools based on the PAMONO-sensor platform. |
| Year | 2017 |
| Projekt | SFB876-B2, SFB876-C1 |
| Url | http://dx.doi.org/10.3390/s17020244 |
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