The DOI matches its Crossref record; 138 of the 138 references it cites were found in a registry or an index.
Optical molecular sensing with semiconductor quantum dots (QDs)
Abstract
Semiconductor quantum dots (QDs) exhibit unique optical and photophysical properties. These features are implemented to develop optical molecular sensor systems. The review addresses the methods to functionalize the QDs with chemical capping layers that enable the use of the resulting hybrid structures for sensing, and discusses the photophysical mechanisms being applied in the different sensor systems. Different methods to design the chemically-modified QDs hybrid structures for sensing low-molecular-weight substrates, metal ions, anions and gases are presented. These include the functionalization of the QDs with ligands that bind ions, the modification of the QDs with substrate-specific ligands or receptor units, and the chemical modification of the QDs upon sensing. Specific emphasis is directed to describe the cooperative catalytic functions of the QDs in the sensing processes, and to address the function of sensing with logic-gate operations.
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
1 retracted
Koneswaran, M., & Narayanaswamy, R. (2008) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2008.09.011 · Cited by 157
RetractedSemiconductor Clusters, Nanocrystals, and Quantum Dots
Alivisatos, A. P. (1996) · Science · doi:10.1126/science.271.5251.933 · Cited by 11,528
Murray, C. B., Norris, D. J., & Bawendi, M. G. (1993) · Journal of the American Chemical Society · doi:10.1021/ja00072a025 · Cited by 9,282
Semiconductor Nanocrystals as Fluorescent Biological Labels
Bruchez, M., Moronne, M., Gin, P., Weiss, S., & Alivisatos, A. P. (1998) · Science · doi:10.1126/science.281.5385.2013 · Cited by 8,613
Quantum Dot Bioconjugates for Ultrasensitive Nonisotopic Detection
Chan, W. C. W., & Nie, S. (1998) · Science · doi:10.1126/science.281.5385.2016 · Cited by 7,278
Quantum dot bioconjugates for imaging, labelling and sensing
Medintz, I. L., Uyeda, H. T., Goldman, E. R., & Mattoussi, H. (2005) · Nature Materials · doi:10.1038/nmat1390 · Cited by 6,229
In vivo cancer targeting and imaging with semiconductor quantum dots
Gao, X., Cui, Y., Levenson, R. M., Chung, L. W. K., & Nie, S. (2004) · Nature Biotechnology · doi:10.1038/nbt994 · Cited by 4,772
Shape control of CdSe nanocrystals
Peng, X., Manna, L., Yang, W., Wickham, J., Scher, E., Kadavanich, A., & Alivisatos, A. P. (2000) · Nature · doi:10.1038/35003535 · Cited by 4,487
Dabbousi, B. O., Rodriguez-Viejo, J., Mikulec, F. V., Heine, J. R., Mattoussi, H., Ober, R., Jensen, K. F., & Bawendi, M. G. (1997) · The Journal of Physical Chemistry B · doi:10.1021/jp971091y · Cited by 4,229
Perspectives on the Physical Chemistry of Semiconductor Nanocrystals
Alivisatos, A. P. (1996) · The Journal of Physical Chemistry · doi:10.1021/jp9535506 · Cited by 3,595
Cited by
Compound Copper Chalcogenide Nanocrystals
Coughlan, C., Ibáñez, M., Dobrozhan, O., Singh, A., Cabot, A., & Ryan, K. M. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00376 · Cited by 930
Hildebrandt, N., Spillmann, C. M., Algar, W. R., Pons, T., Stewart, M. H., Oh, E., Susumu, K., Díaz, S. A., Delehanty, J. B., & Medintz, I. L. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00030 · Cited by 730
Doped quantum dots for chemo/biosensing and bioimaging
Wu, P., & Yan, X.-P. (2013) · Chemical Society Reviews · doi:10.1039/c3cs60017c · Cited by 667
Wang, F., Lu, C.-H., & Willner, I. (2014) · Chemical Reviews · doi:10.1021/cr400354z · Cited by 649
Self-citationQiu, Z., Shu, J., & Tang, D. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b00989 · Cited by 567
Nanotechnology in cancer diagnosis: progress, challenges and opportunities
Zhang, Y., Li, M., Gao, X., Chen, Y., & Liu, T. (2019) · Journal of Hematology & Oncology · doi:10.1186/s13045-019-0833-3 · Cited by 510
Mechanisms and applications of terahertz metamaterial sensing: a review
Xu, W., Xie, L., & Ying, Y. (2017) · Nanoscale · doi:10.1039/c7nr03824k · Cited by 458
Highly green fluorescent Nb2C MXene quantum dots for Cu2+ ion sensing and cell imaging
Yan, X., Ma, J., Yu, K., Li, J., Yang, L., Liu, J., Wang, J., & Cai, L. (2020) · Chinese Chemical Letters · doi:10.1016/j.cclet.2020.05.020 · Cited by 91
Duarah, R., Torné‐Morató, H., Zhang, G., Amin, Y., Pabast, M., Sharma, N., He, S., Das, M. R., & Pompa, P. P. (2026) · Advanced Healthcare Materials · doi:10.1002/adhm.202504419 · Cited by 24
Metadata
- Authors
- Freeman, R., & Willner, I.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 41
- Issue
- 10
- Pages
- 4067
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2167422961
- Cited by
- 485
- References
- 138
- FWCI
- 1.72
- 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.
