The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Ultrasensitive surface-enhanced Raman scattering detection in common fluids
Open accessAbstract
Significance: Many analytes in real-life samples, such as body fluids, soil contaminants, and explosives, are dispersed in liquid, solid, or air phases. However, it remains a challenge to create a platform to detect these analytes in all of these phases with high sensitivity and specificity. Here, we demonstrate a universal platform termed slippery liquid-infused porous surface-enhanced Raman scattering (SLIPSERS) that enables the enrichment and delivery of analytes originating from various phases into surface-enhanced Raman scattering (SERS)-sensitive sites and their subsequent detection down to the subfemtomolar level (<10 −15 mol⋅L −1 ). Based on SLIPSERS, we have demonstrated detection of various chemicals, biological molecules, and environmental contaminants with high sensitivity and specificity. Our platform may lead to ultrasensitive molecular detection for applications related to analytical chemistry, diagnostics, environmental monitoring, and national security.
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
Kelley, S. O., Mirkin, C. A., Walt, D. R., Ismagilov, R. F., Toner, M., & Sargent, E. H. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.261 · Cited by 398
Cited by
Nature-inspired superwettability systems
Liu, M., Wang, S., & Jiang, L. (2017) · Nature Reviews Materials · doi:10.1038/natrevmats.2017.36 · Cited by 1,726
Review of SERS Substrates for Chemical Sensing
Mosier-Boss, P. (2017) · Nanomaterials · doi:10.3390/nano7060142 · Cited by 722
Fan, M., Andrade, G. F. S., & Brolo, A. G. (2020) · Analytica Chimica Acta · doi:10.1016/j.aca.2019.11.049 · Cited by 533
Bodelón, G., Montes-García, V., López-Puente, V., Hill, E. H., Hamon, C., Sanz-Ortiz, M. N., Rodal-Cedeira, S., Costas, C., Celiksoy, S., Pérez-Juste, I., et al. (2016) · Nature Materials · doi:10.1038/nmat4720 · Cited by 359
Metadata
- Authors
- Yang, S., Dai, X., Stogin, B. B., & Wong, T.-S.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-12-30
- Volume
- 113
- Issue
- 2
- Pages
- 268-273
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2207307278
- Cited by
- 704
- References
- 1
- FWCI
- 20.18
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Ultrasensitive surface-enhanced Raman scattering detection in common fluids. https://app.cochat.ai/papers/10.1073/pnas.1518980113
- The paper
- Yang, S., Dai, X., Stogin, B. B., & Wong, T.-S. (2016). Ultrasensitive surface-enhanced Raman scattering detection in common fluids. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1518980113
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.