The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Label‐Free Impedance Biosensors: Opportunities and Challenges
Open accessAbstract
Impedance biosensors are a class of electrical biosensors that show promise for point‐of‐care and other applications due to low cost, ease of miniaturization, and label‐free operation. Unlabeled DNA and protein targets can be detected by monitoring changes in surface impedance when a target molecule binds to an immobilized probe. The affinity capture step leads to challenges shared by all label‐free affinity biosensors; these challenges are discussed along with others unique to impedance readout. Various possible mechanisms for impedance change upon target binding are discussed. We critically summarize accomplishments of past label‐free impedance biosensors and identify areas for future research.
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
Drummond, T. G., Hill, M. G., & Barton, J. K. (2003) · Nature Biotechnology · doi:10.1038/nbt873 · Cited by 2,214
A Survey of Structure−Property Relationships of Surfaces that Resist the Adsorption of Protein
Ostuni, E., Chapman, R. G., Holmlin, R. E., Takayama, S., & Whitesides, G. M. (2001) · Langmuir · doi:10.1021/la010384m · Cited by 1,799
Recent advances in biologically sensitive field-effect transistors (BioFETs)
Schöning, M. J., & Poghossian, A. (2002) · The Analyst · doi:10.1039/b204444g · Cited by 566
The Aptamer Handbook: Functional Oligonucleotides and Their Applications
(2006) · doi:10.1002/3527608192 · Cited by 220
Cited by
Wearable biosensors for healthcare monitoring
Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
Electrochemical Impedance Spectroscopy
Chang, B.-Y., & Park, S.-M. (2010) · Annual Review of Analytical Chemistry · doi:10.1146/annurev.anchem.012809.102211 · Cited by 1,248
Electrically-Transduced Chemical Sensors Based on Two-Dimensional Nanomaterials
Meng, Z., Stolz, R. M., Mendecki, L., & Mirica, K. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00311 · Cited by 773
Advancing Biosensors with Machine Learning
Cui, F., Yue, Y., Zhang, Y., Zhang, Z., & Zhou, H. S. (2020) · ACS Sensors · doi:10.1021/acssensors.0c01424 · Cited by 768
Metadata
- Authors
- Daniels, J. S., & Pourmand, N.
- Venue
- Electroanalysis
- Publisher
- Wiley
- Published
- 2007-06
- Volume
- 19
- Issue
- 12
- Pages
- 1239-1257
- ISSN
- 1040-0397 (ISSN-L)
- 1521-4109
- OpenAlex
- W2149411493
- Cited by
- 1,192
- References
- 4
- FWCI
- 15.09
- 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
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.
