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Development of a NanoBioAnalytical platform for "on-chip" qualification and quantification of platelet-derived microparticles.
- Source :
-
Biosensors & bioelectronics [Biosens Bioelectron] 2017 Jul 15; Vol. 93, pp. 250-259. Date of Electronic Publication: 2016 Aug 29. - Publication Year :
- 2017
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Abstract
- Blood microparticles (MPs) are small membrane vesicles (50-1000nm), derived from different cell types. They are known to play important roles in various biological processes and also recognized as potential biomarkers of various health disorders. Different methods are currently used for the detection and characterization of MPs, but none of these methods is capable to quantify and qualify total MPs at the same time, hence, there is a need to develop a new approach for simultaneous detection, characterization and quantification of microparticles. Here we show the potential of surface plasmon resonance (SPR) method coupled to atomic force microscopy (AFM) to quantify and qualify platelet-derived microparticles (PMPs), on the whole nano-to micro-meter scale. The different subpopulations of microparticles could be determined via their capture onto the surface using specific ligands. In order to verify the correlation between the capture level and the microparticles concentration in solution, two calibration standards were used: Virus-Like Particles (VLPs) and synthetic beads with a mean diameter of 53nm and 920nm respectively. The AFM analysis of the biochip surface allowed metrological analysis of captured PMPs and revealed that more than 95% of PMPs were smaller than 300nm. Our results suggest that our NanoBioAnalytical platform, combining SPR and AFM, is a suitable method for a sensitive, reproducible, label-free characterization and quantification of MPs over a wide concentration range (≈10 <superscript>7</superscript> to 10 <superscript>12</superscript> particles/mL; with a limit of detection (LOD) in the lowest ng/µL range) which matches with their typical concentrations in blood.<br /> (Copyright © 2016 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1873-4235
- Volume :
- 93
- Database :
- MEDLINE
- Journal :
- Biosensors & bioelectronics
- Publication Type :
- Academic Journal
- Accession number :
- 27597127
- Full Text :
- https://doi.org/10.1016/j.bios.2016.08.100