The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Recent Trends in Macro-, Micro-, and Nanomaterial-Based Tools and Strategies for Heavy-Metal Detection
Abstract
ADVERTISEMENT RETURN TO ISSUEPREVReviewNEXTRecent Trends in Macro-, Micro-, and Nanomaterial-Based Tools and Strategies for Heavy-Metal DetectionGemma Aragay†‡, Josefina Pons‡, and Arben Merkoçi*†§View Author Information† Nanobioelectronics & Biosensors Group, Institut Català de Nanotecnologia (CIN2, ICN-CSIC), 08193, Bellaterra, Barcelona, Spain‡ Departament of Chemistry, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain§ ICREA, Barcelona, SpainFax: (+)34935868020. E-mail: [email protected]. Web site: http://nanocat.org/dataeng/recerca/biopriv/bio_home.php.Cite this: Chem. Rev. 2011, 111, 5, 3433–3458Publication Date (Web):March 11, 2011Publication History Received8 November 2010Published online11 March 2011Published inissue 11 May 2011https://pubs.acs.org/doi/10.1021/cr100383rhttps://doi.org/10.1021/cr100383rreview-articleACS PublicationsCopyright © 2011 American Chemical SocietyRequest reuse permissionsArticle Views22375Altmetric-Citations1177LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Fluorescence,Ions,Mercury,Metal nanoparticles,Metals Get e-Alerts
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
Introduction and General Overview of Cyclodextrin Chemistry
Szejtli, J. (1998) · Chemical Reviews · doi:10.1021/cr970022c · Cited by 5,016
Metalloproteins and metal sensing
Waldron, K. J., Rutherford, J. C., Ford, D., & Robinson, N. J. (2009) · Nature · doi:10.1038/nature08300 · Cited by 1,269
Nanotechnology-based electrochemical sensors for biomonitoring chemical exposures
Barry, R. C., Lin, Y., Wang, J., Liu, G., & Timchalk, C. A. (2009) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/jes.2008.71 · Cited by 73
Cited by
A review on detection of heavy metal ions in water—An electrochemical approach
Gumpu, M. B., Sethuraman, S., Krishnan, U. M., & Rayappan, J. B. B. (2015) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2015.02.122 · Cited by 1,027
Wang, B., Yang, Q., Guo, C., Sun, Y., Xie, L.-H., & Li, J.-R. (2017) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.7b00918 · Cited by 423
Triple Raman Label‐Encoded Gold Nanoparticle Trimers for Simultaneous Heavy Metal Ion Detection
Li, S., Xu, L., Ma, W., Kuang, H., Wang, L., & Xu, C. (2015) · Small · doi:10.1002/smll.201403356 · Cited by 107
Photonic Nanosensor for Colorimetric Detection of Metal Ions
Yetisen, A. K., Montelongo, Y., Qasim, M. M., Butt, H., Wilkinson, T. D., Monteiro, M. J., & Yun, S. H. (2015) · Analytical Chemistry · doi:10.1021/ac504274q · Cited by 94
Zeng, Y., Ren, J., Shen, A., & Hu, J. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b09722 · Cited by 61
Metadata
- Authors
- Aragay, G., Pons, J., & Merkoçi, A.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-03-11
- Volume
- 111
- Issue
- 5
- Pages
- 3433-3458
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W1973486518
- Cited by
- 1,396
- References
- 3
- FWCI
- 2.46
- 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: Recent Trends in Macro-, Micro-, and Nanomaterial-Based Tools and Strategies for Heavy-Metal Detection. https://app.cochat.ai/papers/10.1021/cr100383r
- The paper
- Aragay, G., Pons, J., & Merkoçi, A. (2011). Recent Trends in Macro-, Micro-, and Nanomaterial-Based Tools and Strategies for Heavy-Metal Detection. Chemical Reviews. https://doi.org/10.1021/cr100383r
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.
