The DOI matches its Crossref record; 141 of the 141 references it cites were found in a registry or an index.
Trends and challenges of refractometric nanoplasmonic biosensors: A review
Open accessAbstract
Motivated by potential benefits such as sensor miniaturization, multiplexing opportunities and higher sensitivities, refractometric nanoplasmonic biosensing has profiled itself in a short time span as an interesting alternative to conventional Surface Plasmon Resonance (SPR) biosensors. This latter conventional sensing concept has been subjected during the last decades to strong commercialization, thereby strongly leaning on well-developed thin-film surface chemistry protocols. Not surprisingly, the examples found in literature based on this sensing concept are generally characterized by extensive analytical studies of relevant clinical and diagnostic problems. In contrast, the more novel Localized Surface Plasmon Resonance (LSPR) alternative finds itself in a much earlier, and especially, more fundamental stage of development. Driven by new fabrication methodologies to create nanostructured substrates, published work typically focuses on the novelty of the presented material, its optical properties and its use - generally limited to a proof-of-concept - as a label-free biosensing scheme. Given the different stages of development both SPR and LSPR sensors find themselves in, it becomes apparent that providing a comparative analysis of both concepts is not a trivial task. Nevertheless, in this review we make an effort to provide an overview that illustrates the progress booked in both fields during the last five years. First, we discuss the most relevant advances in SPR biosensing, including interesting analytical applications, together with different strategies that assure improvements in performance, throughput and/or integration. Subsequently, the remaining part of this work focuses on the use of nanoplasmonic sensors for real label-free biosensing applications. First, we discuss the motivation that serves as a driving force behind this research topic, together with a brief summary that comprises the main fabrication methodologies used in this field. Next, the sensing performance of LSPR sensors is examined by analyzing different parameters that can be invoked in order to quantitatively assess their overall sensing performance. Two aspects are highlighted that turn out to be especially important when trying to maximize their sensing performance, being (1) the targeted functionalization of the electromagnetic hotspots of the nanostructures, and (2) overcoming inherent negative influence that stem from the presence of a high refractive index substrate that supports the nanostructures. Next, although few in numbers, an overview is given of the most exhaustive and diagnostically relevant LSPR sensing assays that have been recently reported in literature, followed by examples that exploit inherent LSPR characteristics in order to create highly integrated and high-throughput optical biosensors. Finally, we discuss a series of considerations that, in our opinion, should be addressed in order to bring the realization of a stand-alone LSPR biosensor with competitive levels of sensitivity, robustness and integration (when compared to a conventional SPR sensor) much closer to reality.
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
Plasmonics for improved photovoltaic devices
Atwater, H. A., & Polman, A. (2010) · Nature Materials · doi:10.1038/nmat2629 · Cited by 8,337
Extraordinary optical transmission through sub-wavelength hole arrays
Ebbesen, T. W., Lezec, H. J., Ghaemi, H. F., Thio, T., & Wolff, P. A. (1998) · Nature · doi:10.1038/35570 · Cited by 7,687
Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species
Homola, J. (2008) · Chemical Reviews · doi:10.1021/cr068107d · Cited by 4,525
Localized Surface Plasmon Resonance Sensors
Mayer, K. M., & Hafner, J. H. (2011) · Chemical Reviews · doi:10.1021/cr100313v · Cited by 4,350
Plasmonics beyond the diffraction limit
Gramotnev, D. K., & Bozhevolnyi, S. I. (2010) · Nature Photonics · doi:10.1038/nphoton.2009.282 · Cited by 3,903
Quantum dots versus organic dyes as fluorescent labels
Resch-Genger, U., Grabolle, M., Cavaliere-Jaricot, S., Nitschke, R., & Nann, T. (2008) · Nature Methods · doi:10.1038/nmeth.1248 · Cited by 3,833
Plasmons in Strongly Coupled Metallic Nanostructures
Halas, N. J., Lal, S., Chang, W.-S., Link, S., & Nordlander, P. (2011) · Chemical Reviews · doi:10.1021/cr200061k · Cited by 3,135
Haynes, C. L., & Van Duyne, R. P. (2001) · The Journal of Physical Chemistry B · doi:10.1021/jp010657m · Cited by 2,500
SERS: Materials, applications, and the future
Sharma, B., Frontiera, R. R., Henry, A.-I., Ringe, E., & Van Duyne, R. P. (2012) · Materials Today · doi:10.1016/s1369-7021(12)70017-2 · Cited by 2,454
A practical guide to single-molecule FRET
Roy, R., Hohng, S., & Ha, T. (2008) · Nature Methods · doi:10.1038/nmeth.1208 · Cited by 2,152
Cited by
Label-free optical biosensors for food and biological sensor applications
Khansili, N., Rattu, G., & Krishna, P. M. (2018) · Sensors and Actuators B: Chemical · doi:10.1016/j.snb.2018.03.004 · Cited by 328
Nanoplasmonic sensors for biointerfacial science
Jackman, J. A., Rahim Ferhan, A., & Cho, N.-J. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00494f · Cited by 258
Infrared Plasmonic Biosensor for Real-Time and Label-Free Monitoring of Lipid Membranes
Limaj, O., Etezadi, D., Wittenberg, N. J., Rodrigo, D., Yoo, D., Oh, S.-H., & Altug, H. (2016) · Nano Letters · doi:10.1021/acs.nanolett.5b05316 · Cited by 196
Metadata
- Authors
- Estevez, M.-C., Otte, M. A., Sepulveda, B., & Lechuga, L. M.
- Venue
- Analytica Chimica Acta
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 806
- Pages
- 55-73
- ISSN
- 0003-2670 (ISSN-L)
- OpenAlex
- W2079796132
- Cited by
- 301
- References
- 141
- FWCI
- 15.06
- Type
- journal article
- Language
- en
- Open access
- green
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: Trends and challenges of refractometric nanoplasmonic biosensors: A review. https://app.cochat.ai/papers/10.1016/j.aca.2013.10.048
- The paper
- Estevez, M.-C., Otte, M. A., Sepulveda, B., & Lechuga, L. M. (2014). Trends and challenges of refractometric nanoplasmonic biosensors: A review. Analytica Chimica Acta. https://doi.org/10.1016/j.aca.2013.10.048
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.