Sensitive DNA detection and SNP discrimination using ultrabright SERS nanorattles and magnetic beads for malaria diagnostics
Open accessAbstract
One of the major obstacles to implement nucleic acid-based molecular diagnostics at the point-of-care (POC) and in resource-limited settings is the lack of sensitive and practical DNA detection methods that can be seamlessly integrated into portable platforms. Herein we present a sensitive yet simple DNA detection method using a surface-enhanced Raman scattering (SERS) nanoplatform: the ultrabright SERS nanorattle. The method, referred to as the nanorattle-based method, involves sandwich hybridization of magnetic beads that are loaded with capture probes, target sequences, and ultrabright SERS nanorattles that are loaded with reporter probes. Upon hybridization, a magnet was applied to concentrate the hybridization sandwiches at a detection spot for SERS measurements. The ultrabright SERS nanorattles, composed of a core and a shell with resonance Raman reporters loaded in the gap space between the core and the shell, serve as SERS tags for signal detection. Using this method, a specific DNA sequence of the malaria parasite Plasmodium falciparum could be detected with a detection limit of approximately 100 attomoles. Single nucleotide polymorphism (SNP) discrimination of wild type malaria DNA and mutant malaria DNA, which confers resistance to artemisinin drugs, was also demonstrated. These test models demonstrate the molecular diagnostic potential of the nanorattle-based method to both detect and genotype infectious pathogens. Furthermore, the method's simplicity makes it a suitable candidate for integration into portable platforms for POC and in resource-limited settings applications.
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Nanorattles are capable of nucleic acid molecular biosensing, infectious disease detection, and in vivo SERS sensing and imaging.
“These nanorattles are capable of nucleic acid molecular biosensing, infectious disease detection,[ 16 ] and in vivo SERS sensing and imaging.[ 17 ]”
From Machine learning using convolutional neural networks for SERS analysis of biomarkers in medical diagnostics (2022) · cites this paper as [16]
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- Authors
- Ngo, H. T., Gandra, N., Fales, A. M., Taylor, S. M., & Vo-Dinh, T.
- Affiliations
- Duke University (US)
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2016-07
- Volume
- 81
- Pages
- 8-14
- ISSN
- 0956-5663 (ISSN-L)
- PMC
- PMC4835027
- OpenAlex
- W2276367670
- Cited by
- 135
- References
- 68
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 15 · 2023: 14 · 2022: 17 · 2021: 11 · 2020: 11 · 2019: 14 · 2018: 24 · 2017: 14 · 2016: 6
- FWCI
- 6.07
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biosensors and Bioelectronics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (R21 AI120981-01)
- Duke Faculty Exploratory Research Fund
- Vietnam Education Foundation
- Fitzpatrick Scholars Fellowship
- National Institute of Allergy and Infectious Diseases (K08AI100924)
- Topics
- Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- surface-enhanced Raman scattering, DNA detection, single nucleotide polymorphism discrimination, malaria diagnosis, Plasmodium falciparum, artemisinin resistance, magnetic beads, sandwich hybridization, point-of-care testing, portable diagnostic platform
- MeSH terms
- Equipment Design, Humans, Malaria, Nucleic Acid Hybridization, Plasmodium falciparum, Sensitivity and Specificity, Spectrum Analysis, Raman, Biosensing Techniques, DNA, Protozoan, Point-of-Care Systems, Polymorphism, Single Nucleotide, Nanostructures, Limit of Detection, Magnets, Magnetic Fields
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