Dielectrophoresis-Assisted Raman Spectroscopy of Intravesicular Analytes on Metallic Pyramids

Avijit Barik, Sudhir Cherukulappurath, Nathan J. Wittenberg, Timothy W. Johnson, Sang Hyun Oh

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Chemical analysis of membrane-bound containers such as secretory vesicles, organelles, and exosomes can provide insights into subcellular biology. These containers are loaded with a range of important biomolecules, which further underscores the need for sensitive and selective analysis methods. Here we present a metallic pyramid array for intravesicular analysis by combining site-selective dielectrophoresis (DEP) and Raman spectroscopy. Sharp pyramidal tips act as a gradient force generator to trap nanoparticles or vesicles from the solution, and the tips are illuminated by a monochromatic light source for concurrent spectroscopic detection of trapped analytes. The parameters suitable for DEP trapping were optimized by fluorescence microscopy, and the Raman spectroscopy setup was characterized by a nanoparticle based model system. Finally, vesicles loaded with 4-mercaptopyridine were concentrated at the tips and their Raman spectra were detected in real time. These pyramidal tips can perform large-area array-based trapping and spectroscopic analysis, opening up possibilities to detect molecules inside cells or cell-derived vesicles.

Original languageEnglish (US)
Pages (from-to)1704-1710
Number of pages7
JournalAnalytical Chemistry
Volume88
Issue number3
DOIs
StatePublished - Feb 2 2016

Bibliographical note

Funding Information:
This work was supported by the National Science Foundation (NSF CAREER Award and CMMI 1363334), the National Institutes of Health (R01GM092993), and the MnDrive Initiative from the State of Minnesota. A.B. acknowledges support from the University of Minnesota Doctoral Dissertation Fellowship. Device fabrication was performed at the Minnesota Nanofabrication Center, which receives support from the NSF through the National Nanotechnology Coordinated Infrastructure (NNCI). Parts of this work were carried out in the Characterization Facility, University of Minnesota, which receives partial support from NSF through the MRSEC program. Computational modeling was carried out using software provided by the University of Minnesota Supercomputing Institute.

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