Nanoparticles with Raman Spectroscopic Fingerprints for DNA and RNA Detection*

Cao, Y. Charles; Jin, Rongchao; Mirkin, Chad A.

doi:10.1201/9781003056713-93

Cited by 33 publications

(39 citation statements)

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“…The use of nanoparticles such as plasmonic surface-enhanced Raman scattering (SERS) nanoparticles or fluorescent quantum dots, has been shown to be promising for disease diagnostics applications. [1][2][3][4] Yet, to date, there is still a dearth of nanoparticle-based diagnostics which have been translated for use in the clinic. This is partly attributed to the limited clinical technology verification studies for evaluating the clinical sensitivity and specificity (i.e.…”

Section: Surface-enhanced Raman Spectroscopy Silver Nanoparticles Pmentioning

confidence: 99%

Design and Clinical Verification of Surface-Enhanced Raman Spectroscopy Diagnostic Technology for Individual Cancer Risk Prediction

et al. 2018

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The use of emerging nanotechnologies, such as plasmonic nanoparticles in diagnostic applications, potentially offers opportunities to revolutionize disease management and patient healthcare. Despite worldwide research efforts in this area, there is still a dearth of nanodiagnostics which have been successfully translated for real-world patient usage due to the predominant sole focus on assay analytical performance and lack of detailed investigations into clinical performance in human samples. In a bid to address this pressing need, we herein describe a comprehensive clinical verification of a prospective label-free surface-enhanced Raman scattering (SERS) nanodiagnostic assay for prostate cancer (PCa) risk stratification. This contribution depicts a roadmap of (1) designing a SERS assay for robust and accurate detection of clinically validated PCa RNA targets; (2) employing a relevant and proven PCa clinical biomarker model to test our nanodiagnostic assay; and (3) investigating the clinical performance on independent training ( n = 80) and validation ( n = 40) cohorts of PCa human patient samples. By relating the detection outcomes to gold-standard patient biopsy findings, we established a PCa risk scoring system which exhibited a clinical sensitivity and specificity of 0.87 and 0.90, respectively [area-under-curve of 0.84 (95% confidence interval: 0.81-0.87) for differentiating high- and low-risk PCa] in the validation cohort. We envision that our SERS nanodiagnostic design and clinical verification approach may aid in the individualized prediction of PCa presence and risk stratification and may overall serve as an archetypical strategy to encourage comprehensive clinical evaluation of nanodiagnostic innovations.

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Section: Surface-enhanced Raman Spectroscopy Silver Nanoparticles Pmentioning

confidence: 99%

Design and Clinical Verification of Surface-Enhanced Raman Spectroscopy Diagnostic Technology for Individual Cancer Risk Prediction

et al. 2018

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“…This allows for GNPs to have unique optical and electronic properties capable of being determined by their size and shape (Link and El-Sayed, 1999b). Some of the optical properties for GNPs include surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), nonlinear optical properties (NLO), and luminescence making GNPs a robust tool (Klar et al 1998;Averitt et al 1999;Cao et al 2002). Along with its optical properties, GNPs can be irradiated by a laser at a wavelength around the SPR band which can efficiently convert the photon energy to thermal energy (Zharov, 2006).…”

Section: Gold Nanoparticle Morphologiesmentioning

confidence: 99%

Production of high yield gold/gold-sulfide nanoparticles via cellulose membrane.

James¹

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“…Gold and silver are the most used plasmonic nanoparticles because they have applications in DNA labeling, 67 catalysis, 34,61,[68][69][70][71] biological detection and diagnostics, 21,72 Raman spectroscopy, 60 photonic materials, and chemical sensors. 67 Gold has a specific resonance range of 520-530 nm that is due to its 5.51 eV Fermi energy that can be tuned depending on the concentration and solvent used to disperse the particles. 61,73 In addition, gold has a specific size effect that causes nanoparticles less than 5 nm in diameter to not…”

Section: Types Of Plasmonic Nanoparticlesmentioning

confidence: 99%

Single component and bifunctional nanoparticles using a star-like triblock copolymer template

Schlichting¹

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Chapter 1. Introduction 1.1. Synthesis Methods for Nano-Scale Materials 1.2. Polymer Templating/Ligands Chapter 3. Polymer Templated Quantum Dots 3.1. Results and Discussion Chapter 4. Polymer Templated Gold Nanoparticles iii 4.1. Results and Discussion Chapter 5. Magnetite Nanoparticles 5.1. Results and Discussion Chapter 6. Semiconducting and Plasmonic Nanoparticles 6.1. Results and Discussion-Cadmium Selenide Cores with Gold Shells 6.2. Results and Discussion-Gold Cores with Cadmium Shells Chapter 7. Semiconducting and Superparamagnetic Nanoparticles 7.1. Results and Discussion-Magnetite Cores with Cadmium Selenide Shells Chapter 8. General Summary and Conclusions Chapter 9. Works Cited A thesis requires more work than just one person can do by themselves. Firstly, I would like to thank Dr. Zhiqun Lin, my major professor, for allowing me to join his group, giving me direction when needed, and believing in me when the research was not moving forward. Thank you for my committee members, Dr. Surya Mallapragada and Dr. Malika Jeffries-EL, for their time. Dr. Xinchang Pang, thank you for all your assistance in making core/shell nanoparticles, especially in the purification techniques, and providing the star-like triblock copolymer for my use. Your assistance made the following presented work possible. I would also like to thank other my current group members: Chaowei Feng,

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Nanoparticles with Raman Spectroscopic Fingerprints for DNA and RNA Detection*

Cited by 33 publications

References 1 publication

Design and Clinical Verification of Surface-Enhanced Raman Spectroscopy Diagnostic Technology for Individual Cancer Risk Prediction

Design and Clinical Verification of Surface-Enhanced Raman Spectroscopy Diagnostic Technology for Individual Cancer Risk Prediction

Production of high yield gold/gold-sulfide nanoparticles via cellulose membrane.

Single component and bifunctional nanoparticles using a star-like triblock copolymer template

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