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Functionalized nanoparticles are becoming increasingly popular as biosensors in both medical and environmental fields. The ability to alter a nanoparticle's surface chemistry, with DNA, for example, is proving useful for targeted drug delivery systems1 and monitoring DNA-protein interactions2-4. An increasingly common nanoparticle property being utilized in bioassays and in the delivery of therapeutics is superparamagnetism5. Superparamagnetic particles (SPPs) are extremely useful in identifying and removing specific analytes from complex mixtures and can do so with the simple use of a single magnet. Once removed, the analyte-bound particles can be characterized and analyzed fit for purpose.
Previous methods used for the detection and characterization of nanoparticles include optical techniques such as dynamic light scattering (DLS), otherwise known as photon correlation spectroscopy. Although a high throughput technique, DLS is limited to being an averaging based technique and when analyzing multimodal samples without the addition of specialist software, the larger particles will produce a much more dominant signal, leaving some of the smaller particles completely unnoticed6,7. Particle-by-particle characterization techniques are therefore much more favorable to analyze nanoparticle and functionalized nanoparticle systems.
RPS based technologies are based around applying an electric field to a sample and monitoring the transportation mechanism of the particles through a synthetic or biological nanopore. A relatively recent nanoparticle detection and characterization technique based on RPS is tunable resistive pulse sensing (TRPS)8-16. TRPS is a two-electrode system separated by an elastomeric, tunable pore membrane. A tunable pore method allows for analytes of a range of shape17 and size to be measured via their transport mechanisms through the pore. Tunable pores have previously been used for the detection of small particles (70-95 nm diameter) producing comparable results to other techniques such as transmission electron spectroscopy (TEM)10. When an electric field is applied, an ionic current is observed and as particles/molecules pass through the pore, they temporarily block the pore, causing a reduction in the current that can be defined as a 'blockade event'. Each blockade event is representative of a single particle so that each particle within a sample can be characterized individually based on the blockade magnitude, Δ
, and full width half-maximum, FWHM, as well as other blockade properties. Analyzing individual particles as they pass through a nanopore is advantageous for multimodal samples as TRPS can successfully and effectively distinguish a range of particle sizes amongst a single sample. Tunable resistive pulse sensing completes size10, zeta potential12,18 and concentration15 measurements simultaneously in a single run and can therefore still differentiate samples of similar, if not the same size by their surface charge19; an advantage over alternative sizing techniques.
Zeta potential is defined as the electrostatic potential at the plane of shear20, and is calculated from particle velocities as they traverse a pore19. Zeta potential measurements of individual particles thus gives insight into the translocation mechanisms and behavior of nanoparticle systems in solution, valuable information for the future of nanoparticle assay designs for a range of applications. Particle-by-particle analysis of such nature also allows for the spread and distribution of zeta potential values amongst a sample population to be explored, allowing for more information on reaction kinetics (single-stranded to double-stranded DNA, for example) and particle stabilities in solution to be attained.
Here, we describe a technique that detects and characterizes both unmodified and DNA-modified SPP surfaces. The protocol described herein is applicable to a range of inorganic and biological nanoparticles, but we demonstrate the procedure using DNA-modified surfaces due to their wide range of applications. The technique allows the user to distinguish between single-stranded and double-stranded DNA targets on a nanoparticle surface, based on particle translocation velocities through a pore system and thus their zeta potentials.