The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Instantaneous and Quantitative Functionalization of Gold Nanoparticles with Thiolated DNA Using a pH-Assisted and Surfactant-Free Route
Abstract
The attachment of thiolated DNA to gold nanoparticles (AuNPs) has enabled many landmark works in nanobiotechnology. This conjugate chemistry is typically performed using a salt-aging protocol where, in the presence of an excess amount of DNA, NaCl is gradually added to increase DNA loading over 1-2 days. To functionalize large AuNPs, surfactants need to be used, which may generate difficulties for downstream biological applications. We report herein a novel method using a pH 3.0 citrate buffer to complete the attachment process in a few minutes. More importantly, it allows for quantitative DNA adsorption, eliminating the need to quantify the number of adsorbed DNA and allowing the adsorption of multiple DNAs with different sequences at predetermined ratios. The method has been tested for various DNAs over a wide range of AuNP sizes. Our work suggests a synergistic effect between pH and salt in DNA attachment and reveals the fundamental kinetics of AuNP aggregation versus DNA adsorption, providing a novel means to modulate the interactions between DNA and AuNPs.
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
A DNA-based method for rationally assembling nanoparticles into macroscopic materials
Mirkin, C. A., Letsinger, R. L., Mucic, R. C., & Storhoff, J. J. (1996) · Nature · doi:10.1038/382607a0 · Cited by 6,683
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Elghanian, R., Storhoff, J. J., Mucic, R. C., Letsinger, R. L., & Mirkin, C. A. (1997) · Science · doi:10.1126/science.277.5329.1078 · Cited by 4,399
Organization of 'nanocrystal molecules' using DNA
Alivisatos, A. P., Johnsson, K. P., Peng, X., Wilson, T. E., Loweth, C. J., Bruchez, M. P., & Schultz, P. G. (1996) · Nature · doi:10.1038/382609a0 · Cited by 2,962
Seeman, N. C. (2003) · Nature · doi:10.1038/nature01406 · Cited by 2,782
Integrated Nanoparticle–Biomolecule Hybrid Systems: Synthesis, Properties, and Applications
Katz, E., & Willner, I. (2004) · Angewandte Chemie International Edition · doi:10.1002/anie.200400651 · Cited by 2,450
Gold Nanoparticles for Biology and Medicine
Giljohann, D. A., Seferos, D. S., Daniel, W. L., Massich, M. D., Patel, P. C., & Mirkin, C. A. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200904359 · Cited by 2,356
Storhoff, J. J., Elghanian, R., Mucic, R. C., Mirkin, C. A., & Letsinger, R. L. (1998) · Journal of the American Chemical Society · doi:10.1021/ja972332i · Cited by 2,271
Functional Nucleic Acid Sensors
Liu, J., Cao, Z., & Lu, Y. (2009) · Chemical Reviews · doi:10.1021/cr030183i · Cited by 2,187
Self-citationStructure-Based Carbon Nanotube Sorting by Sequence-Dependent DNA Assembly
Zheng, M., Jagota, A., Strano, M. S., Santos, A. P., Barone, P., Chou, S. G., Diner, B. A., Dresselhaus, M. S., Mclean, R. S., Onoa, G. B., et al. (2003) · Science · doi:10.1126/science.1091911 · Cited by 1,594
Cited by
Surface Functionalization of Gold Nanoparticles with Red Blood Cell Membranes
Gao, W., Hu, C. J., Fang, R. H., Luk, B. T., Su, J., & Zhang, L. (2013) · Advanced Materials · doi:10.1002/adma.201300638 · Cited by 465
Lee, B., Lee, K., Panda, S., Gonzales-Rojas, R., Chong, A., Bugay, V., Park, H. M., Brenner, R., Murthy, N., & Lee, H. Y. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0252-8 · Cited by 361
Hybrid nanoparticles for combination therapy of cancer
He, C., Lu, J., & Lin, W. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.09.029 · Cited by 174
Meng, Y., Liu, P., Zhou, W., Ding, J., & Liu, J. (2018) · ACS Nano · doi:10.1021/acsnano.8b03019 · Cited by 149
Self-citationEl Hallal, R., Lyu, N., & Wang, Y. (2021) · Molecules · doi:10.3390/molecules26030567 · Cited by 51
Liu, J., Guo, L., Mi, Z., Liu, Z., Rong, P., & Zhou, W. (2022) · Journal of Controlled Release · doi:10.1016/j.jconrel.2022.06.030 · Cited by 40
Self-citationVohra, P., Ngo, H. T., Lee, W. T., & Vo-Dinh, T. (2017) · Analytical Methods · doi:10.1039/c7ay01913k · Cited by 18
Metadata
- Authors
- Zhang, X., Servos, M. R., & Liu, J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-04-22
- Volume
- 134
- Issue
- 17
- Pages
- 7266-7269
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2330939239
- Cited by
- 593
- References
- 40
- FWCI
- 14.45
- 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.