The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
DNA Sensing by Silicon Nanowire: Charge Layer Distance Dependence
Abstract
To provide a comprehensive understanding of the field effect in silicon nanowire (SiNW) sensors, we take a systematic approach to fine tune the distance of a charge layer by controlling the hybridization sites of DNA to the SiNW preimmobilized with peptide nucleic acid (PNA) capture probes. Six target DNAs of the same length, but differentiated successively by three bases in the complementary segment, are hybridized to the PNA. Fluorescent images show that the hybridization occurs exclusively on the SiNW surface between the target DNAs and the PNA. However, the field-effect response of the SiNW sensor decreases as the DNA (charge layer) moves away from the SiNW surface. Theoretical analysis shows that the field effect of the SiNW sensor relies primarily on the location of the charge layer. A maximum of 102% change in resistance is estimated based on the shortest distance of the DNA charge layer (4.7 A) to the SiNW surface.
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
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
Nanowire Nanosensors for Highly Sensitive and Selective Detection of Biological and Chemical Species
Cui, Y., Wei, Q., Park, H., & Lieber, C. M. (2001) · Science · doi:10.1126/science.1062711 · Cited by 5,809
Multiplexed electrical detection of cancer markers with nanowire sensor arrays
Zheng, G., Patolsky, F., Cui, Y., Wang, W. U., & Lieber, C. M. (2005) · Nature Biotechnology · doi:10.1038/nbt1138 · Cited by 2,436
Label-free immunodetection with CMOS-compatible semiconducting nanowires
Stern, E., Klemic, J. F., Routenberg, D. A., Wyrembak, P. N., Turner-Evans, D. B., Hamilton, A. D., LaVan, D. A., Fahmy, T. M., & Reed, M. A. (2007) · Nature · doi:10.1038/nature05498 · Cited by 1,352
Hahm, J.-I., & Lieber, C. M. (2004) · Nano Letters · doi:10.1021/nl034853b · Cited by 1,308
Electrical detection of single viruses
Patolsky, F., Zheng, G., Hayden, O., Lakadamyali, M., Zhuang, X., & Lieber, C. M. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0406159101 · Cited by 1,258
Patolsky, F., Timko, B. P., Yu, G., Fang, Y., Greytak, A. B., Zheng, G., & Lieber, C. M. (2006) · Science · doi:10.1126/science.1128640 · Cited by 832
Importance of the Debye Screening Length on Nanowire Field Effect Transistor Sensors
Stern, E., Wagner, R., Sigworth, F. J., Breaker, R., Fahmy, T. M., & Reed, M. A. (2007) · Nano Letters · doi:10.1021/nl071792z · Cited by 806
Sequence-Specific Label-Free DNA Sensors Based on Silicon Nanowires
Li, Z., Chen, Y., Li, X., Kamins, T. I., Nauka, K., & Williams, R. S. (2004) · Nano Letters · doi:10.1021/nl034958e · Cited by 706
Bunimovich, Y. L., Shin, Y. S., Yeo, W.-S., Amori, M., Kwong, G., & Heath, J. R. (2006) · Journal of the American Chemical Society · doi:10.1021/ja065923u · Cited by 480
Cited by
Effect of Nanowire Number, Diameter, and Doping Density on Nano-FET Biosensor Sensitivity
Li, J., Zhang, Y., To, S., You, L., & Sun, Y. (2011) · ACS Nano · doi:10.1021/nn202182p · Cited by 138
Nanocarriers as cns drug delivery systems for enhanced neuroprotection
Ozkizilcik, A., Davidson, P., Turgut, H., Sharma, H. S., Sharma, A., & Tian, Z. R. (2017) · Drug and Gene Delivery to the Central Nervous System for Neuroprotection · doi:10.1007/978-3-319-57696-1_2 · Cited by 10
Metadata
- Authors
- Zhang, G.-J., Zhang, G., Chua, J. H., Chee, R.-E., Wong, E. H., Agarwal, A., Buddharaju, K. D., Singh, N., Gao, Z., & Balasubramanian, N.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-03-01
- Volume
- 8
- Issue
- 4
- Pages
- 1066-1070
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2073199109
- Cited by
- 278
- References
- 18
- FWCI
- 17.91
- 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: DNA Sensing by Silicon Nanowire: Charge Layer Distance Dependence. https://app.cochat.ai/papers/10.1021/nl072991l
- The paper
- Zhang, G.-J., Zhang, G., Chua, J. H., Chee, R.-E., Wong, E. H., Agarwal, A., Buddharaju, K. D., Singh, N., Gao, Z., & Balasubramanian, N. (2008). DNA Sensing by Silicon Nanowire: Charge Layer Distance Dependence. Nano Letters. https://doi.org/10.1021/nl072991l
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.