The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evaluation of Surface-Enhanced Resonance Raman Scattering for Quantitative DNA Analysis
Abstract
The labeling of biological species using dyes has become common practice to aid in their detection, and immediate positive identification of specific dyes in high dilution is a key requirement. Here the detection by surface-enhanced resonance Raman scattering (SERRS) of eight commercially available dye labels (ROX, rhodamine 6G, HEX, FAM, TET, Cy3, Cy5, TAMRA) attached to oligonucleotide strands is reported. Each of the eight labels was easily detected by using the SERRS from silver nanoparticles to produce a unique, molecularly specific spectrum. The conditions were optimized to obtain the best signal enhancement, and linear concentration graphs at low oligonucleotide concentrations were obtained. At higher concentrations (above approximately 10(-)(8) mol dm(-)(3)), curvature was introduced into the concentration graphs with the exception of rhodamine 6G, TET, and FAM, which gave linearity over the entire concentration range studied. Detection limits as low as 0.5 fmol were obtained, with lower possible if a smaller sample was analyzed. Investigation was also carried out into the effect of a Tris-HCl buffer containing the surfactant Tween 20 to aid in the prevention of surface adhesion of the oligonucleotides to the sample vessels at ultralow concentrations. The Tween 20 allowed lower detection limits to be obtained for each of the labels studied. This study shows that the different dyes commonly used with oligonucleotides can give quantitative SERRS at concentration levels not possible when the same dyes are used with fluorescence detection.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Raman spectra of pyridine adsorbed at a silver electrode
Fleischmann, M., Hendra, P. J., & McQuillan, A. J. (1974) · Chemical Physics Letters · doi:10.1016/0009-2614(74)85388-1 · Cited by 7,172
Fluidity of Bound Hydration Layers
Raviv, U., & Klein, J. (2002) · Science · doi:10.1126/science.1074481 · Cited by 721
Cited by
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
SERS—a single-molecule and nanoscale tool for bioanalytics
Kneipp, J., Kneipp, H., & Kneipp, K. (2008) · Chemical Society Reviews · doi:10.1039/b708459p · Cited by 1,075
McNay, G., Eustace, D., Smith, W. E., Faulds, K., & Graham, D. (2011) · Applied Spectroscopy · doi:10.1366/11-06365 · Cited by 655
Self-citationRecent progress in SERS biosensing
Bantz, K. C., Meyer, A. F., Wittenberg, N. J., Im, H., Kurtuluş, Ö., Lee, S. H., Lindquist, N. C., Oh, S.-H., & Haynes, C. L. (2011) · Physical Chemistry Chemical Physics · doi:10.1039/c0cp01841d · Cited by 620
SERS: a versatile tool in chemical and biochemical diagnostics
Hering, K., Cialla, D., Ackermann, K., Dörfer, T., Möller, R., Schneidewind, H., Mattheis, R., Fritzsche, W., Rösch, P., & Popp, J. (2008) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-007-1667-3 · Cited by 489
Current and Developing Technologies for Monitoring Agents of Bioterrorism and Biowarfare
Lim, D. V., Simpson, J. M., Kearns, E. A., & Kramer, M. F. (2005) · Clinical Microbiology Reviews · doi:10.1128/cmr.18.4.583-607.2005 · Cited by 417
Gold nanoparticle-based signal amplification for biosensing
Cao, X., Ye, Y., & Liu, S. (2011) · Analytical Biochemistry · doi:10.1016/j.ab.2011.05.027 · Cited by 393
Surface-enhanced Raman spectroscopy: a half-century historical perspective
Yi, J., You, E.-M., Hu, R., Wu, D.-Y., Liu, G.-K., Yang, Z.-L., Zhang, H., Gu, Y., Wang, Y.-H., Wang, X., et al. (2025) · Chemical Society Reviews · doi:10.1039/d4cs00883a · Cited by 382
Self-citationSmith, W. E. (2008) · Chemical Society Reviews · doi:10.1039/b708841h · Cited by 347
Self-citationXu, L.-J., Zong, C., Zheng, X.-S., Hu, P., Feng, J.-M., & Ren, B. (2014) · Analytical Chemistry · doi:10.1021/ac403974n · Cited by 301
Surface-enhanced Raman scattering on colloidal nanostructures
Aroca, R. F., Alvarez-Puebla, R. A., Pieczonka, N., Sanchez-Cortez, S., & Garcia-Ramos, J. V. (2005) · Advances in Colloid and Interface Science · doi:10.1016/j.cis.2005.04.007 · Cited by 289
Plasmonic nanoprobes for SERS biosensing and bioimaging
Vo‐Dinh, T., Wang, H., & Scaffidi, J. (2010) · Journal of Biophotonics · doi:10.1002/jbio.200910015 · Cited by 225
Simultaneous detection and quantification of three bacterial meningitis pathogens by SERS
Gracie, K., Correa, E., Mabbott, S., Dougan, J. A., Graham, D., Goodacre, R., & Faulds, K. (2014) · Chem. Sci. · doi:10.1039/c3sc52875h · Cited by 161
Self-citationSpectral Analysis of Multiplex Raman Probe Signatures
Lutz, B. R., Dentinger, C. E., Nguyen, L. N., Sun, L., Zhang, J., Allen, A. N., Chan, S., & Knudsen, B. S. (2008) · ACS Nano · doi:10.1021/nn800243g · Cited by 135
Surface enhanced Raman scattering for multiplexed detection
Dougan, J. A., & Faulds, K. (2012) · The Analyst · doi:10.1039/c2an15979a · Cited by 117
Self-citationSurface-enhanced Raman scattering molecular sentinel nanoprobes for viral infection diagnostics
Wang, H.-N., Fales, A. M., Zaas, A. K., Woods, C. W., Burke, T., Ginsburg, G. S., & Vo-Dinh, T. (2013) · Analytica Chimica Acta · doi:10.1016/j.aca.2013.05.017 · Cited by 36
Metadata
- Authors
- Faulds, K., Smith, W. E., & Graham, D.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-12-06
- Volume
- 76
- Issue
- 2
- Pages
- 412-417
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2088410098
- Cited by
- 241
- References
- 2
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
