Der neueste Artikel aus dem Projekt B2 zur PAMONO-Technologie, "Application of the PAMONO-sensor for Quantification of Microvesicles and Determination of Nano-particle Size Distribution", wurde in der aktuellen Ausgabe des Journals Sensors als Leitartikel ausgewählt. Die Veröffentlichung ist als Open Access auf der Webseite des Journals erhältlich. An der Publikation beteiligt war auch Alexander Schramm, Projektleiter im Projekt C1.

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.

http://www.mdpi.com/1424-8220/17/2