The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Improving Colorimetric Assays through Protein Enzyme-Assisted Gold Nanoparticle Amplification
Abstract
The discovery of the DNA-mediated assembly of gold nanoparticles was a great moment in the history of science; this understanding and chemical control enabled the rational design of functional nanomaterials as novel probes in biodetection. In contrast with conventional probes such as organic dyes, gold nanoparticles exhibit high photostability and unique size-dependent optical properties. Because of their high extinction coefficients and strong distance dependent optical properties, these nanoparticles have emerged over the past decade as a promising platform for rapid, highly sensitive colorimetric assays that allow for the visual detection of low concentrations of metal ions, small molecules, and biomacromolecules. These discoveries have deepened our knowledge of biological phenomena and facilitated the development of many new diagnostic and therapeutic tools. Despite these many advances and continued research efforts, current nanoparticle-based colorimetric detection systems still suffer from several drawbacks, such as limited sensitivity and selectivity. This Account describes the recent development of colorimetric assays based on protein enzyme-assisted gold nanoparticle amplification. The benefits of such detection systems include significantly improved detection sensitivity and selectivity. First, we discuss the general design of enzyme-modified nanoparticle systems in colorimetric assays. We show that a quantitative understanding of the unique properties of different enzymes is paramount for effective biological assays. We then examine the assays for nucleic acid detection based on different types of enzymes, including endonucleases, ligases, and polymerases. For each of these assays, we identify the underlying principles that contribute to the enhanced detection capability of nanoparticle systems and illustrate them with selected examples. Furthermore, we demonstrate that the combination of gold nanoparticles and specific enzymes can probe enzyme dynamics and function with high specificity, offering substantial advantages in both sensitivity and specificity over conventional detection methods. The screening of nuclease, methyltransferase, protease, and kinase activities can be colorimetrically performed in a straightforward manner. Finally, we discuss examples of colorimetric assays for metal ions and small molecules that constitute important advances toward visual monitoring of enzyme catalytic functions and gene expression. Although these enzyme-assisted assay methods hold great promise for myriad applications in biomedicine and bioimaging, the application of the described techniques in vivo faces formidable challenges. In addition, researchers do not fully understand the interactions of gold nanoparticles with enzyme molecules. This understanding will require the development of new techniques to probe enzyme substrate dynamics at the particle interface with higher spatial resolution and chemical specificity.
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
Nanostructures in Biodiagnostics
Rosi, N. L., & Mirkin, C. A. (2005) · Chemical Reviews · doi:10.1021/cr030067f · Cited by 4,603
Cited by
Optical sensor arrays for chemical sensing: the optoelectronic nose
Askim, J. R., Mahmoudi, M., & Suslick, K. S. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60179j · Cited by 886
Localized Surface Plasmon Resonance Biosensing: Current Challenges and Approaches
Unser, S., Bruzas, I., He, J., & Sagle, L. (2015) · Sensors · doi:10.3390/s150715684 · Cited by 565
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
Zhao, Y., Huang, Y., Zhu, H., Zhu, Q., & Xia, Y. (2016) · Journal of the American Chemical Society · doi:10.1021/jacs.6b07590 · Cited by 346
Singh, S. (2019) · Frontiers in Chemistry · doi:10.3389/fchem.2019.00046 · Cited by 319
Metadata
- Authors
- Xie, X., Xu, W., & Liu, X.
- Venue
- Accounts of Chemical Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2012-07-11
- Volume
- 45
- Issue
- 9
- Pages
- 1511-1520
- ISSN
- 0001-4842 (ISSN-L)
- 1520-4898
- OpenAlex
- W2334170369
- Cited by
- 167
- References
- 1
- FWCI
- 7.89
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Improving Colorimetric Assays through Protein Enzyme-Assisted Gold Nanoparticle Amplification. https://app.cochat.ai/papers/10.1021/ar300044j
- The paper
- Xie, X., Xu, W., & Liu, X. (2012). Improving Colorimetric Assays through Protein Enzyme-Assisted Gold Nanoparticle Amplification. Accounts of Chemical Research. https://doi.org/10.1021/ar300044j
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.