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Nanobarcoding: detecting nanoparticles in biological samples using in situ polymerase chain reaction
Trisha Eustaquio1, James F Leary
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN 47907, USA.
International Journal of Nanomedicine
|November 13, 2012
Summary
A novel nanobarcoding method using in situ polymerase chain reaction (ISPCR) enhances nanoparticle detection. This technique improves the assessment of nanoparticle biodistribution in nanomedicine, overcoming limitations of current detection methods.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Molecular Biology
Background:
- Determining nanoparticle (NP) fate and biodistribution is crucial for nanomedicine.
- Existing NP biodistribution detection methods have limited sensitivity.
- A novel nanobarcoding method using in situ polymerase chain reaction (ISPCR) is proposed for enhanced NP detection.
Purpose of the Study:
- To demonstrate the proof of concept for a nanobarcoding method for improved NP detection.
- To evaluate the feasibility of nanobarcoding for NP biodistribution studies.
- To validate the nanobarcoding technique in an in vitro cellular model.
Main Methods:
- Nanobarcoded superparamagnetic iron oxide nanoparticles (NB-SPIONs) were synthesized and characterized.
- Cellular uptake was assessed using confocal microscopy with fluorescently labeled NB-SPIONs.
- The nanobarcoding method was validated using solution-phase PCR and ISPCR in HeLa cells.
Main Results:
- NB conjugation stabilized SPIONs and covered their surface, confirmed by DLS and hyperspectral imaging.
- Solution-phase and pseudo-ISPCR confirmed exclusive amplicon generation from NB-SPIONs in a dose-dependent manner.
- ISPCR detected NB-SPION signals within HeLa cells across large areas, despite minimal uptake observed via confocal microscopy.
Conclusions:
- The nanobarcoding method shows proof of concept for enhanced NP detection in vitro.
- Further development is required to standardize the nanobarcoding technique for widespread use.
- This method holds potential for improving NP biodistribution assessments in nanomedicine.

