journal article·2024-03-05

Simultaneous Multipass Resistive-Pulse Sensing and Fluorescence Imaging of Liposomes

Alexandra J. Schmeltzer, Eric M Peterson, Joel M. Harris, Daniel K. Lathrop, Sean R. German, Henry S. White

ACS Nano· Volume 18· Issue 9
Publisher page

Abstract

Simultaneous multipass resistive-pulse sensing and fluorescence imaging have been used to correlate the size and fluorescence intensity of individual E. coli lipid liposomes composed of E. coli polar lipid extracts labeled with membrane-bound 3,3-dioctadecyloxacarbocyanine (DiO) fluorescent molecules. Here, a nanopipet serves as a waveguide to direct excitation light to the resistive-pulse sensing zone at the end of the nanopipet tip. Individual DiO-labeled liposomes (>50 nm radius) were multipassed back and forth through the orifices of glass nanopipets' 110-150 nm radius via potential switching to obtain subnanometer sizing precision, while recording the fluorescence intensity of the membrane-bound DiO molecules. Fluorescence was measured as a function of liposome radius and found to be approximately proportional to the total membrane surface area. The observed relationship between liposome size and fluorescence intensity suggests that multivesicle liposomes emit greater fluorescence compared to unilamellar liposomes, consistent with all lipid membranes of the multivesicle liposomes containing DiO. Fluorescent and nonfluorescent liposomes are readily distinguished from each other in the same solution using simultaneous multipass resistive-pulse sensing and fluorescence imaging. A fluorescence "dead zone" of ∼1 μm thickness just outside of the nanopipet orifice was observed during resistive-pulse sensing, resulting in "on/off" fluorescent behavior during liposome multipassing.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Lipid Membrane Structure and Behavior · Microfluidic and Bio-sensing Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemistry, University of Utah; Salt Lake City, Utah 84112, United States

Electronic BioSciences, Inc., 421 Wakara Way, Suite 328, Salt Lake City, Utah 84108, United States

Funding

National Cancer Institute

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