The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Graphene and Nanowire Transistors for Cellular Interfaces and Electrical Recording
Open accessAbstract
Nanowire field-effect transistors (NW-FETs) have been shown to be powerful building blocks for nanoscale bioelectronic interfaces with cells and tissue due to their excellent sensitivity and their capability to form strongly coupled interfaces with cell membranes. Graphene has also been shown to be an attractive building block for nanoscale electronic devices, although little is known about its interfaces with cells and tissue. Here we report the first studies of graphene field effect transistors (Gra-FETs) as well as combined Gra- and NW-FETs interfaced to electrogenic cells. Gra-FET conductance signals recorded from spontaneously beating embryonic chicken cardiomyocytes yield well-defined extracellular signals with signal-to-noise ratio routinely >4. The conductance signal amplitude was tuned by varying the Gra-FET working region through changes in water gate potential, V(wg). Signals recorded from cardiomyocytes for different V(wg) result in constant calibrated extracellular voltage, indicating a robust graphene/cell interface. Significantly, variations in V(wg) across the Dirac point demonstrate the expected signal polarity flip, thus allowing, for the first time, both n- and p-type recording to be achieved from the same Gra-FET simply by offsetting V(wg). In addition, comparisons of peak-to-peak recorded signal widths made as a function of Gra-FET device sizes and versus NW-FETs allowed an assessment of relative resolution in extracellular recording. Specifically, peak-to-peak widths increased with the area of Gra-FET devices, indicating an averaged signal from different points across the outer membrane of the beating cells. One-dimensional silicon NW- FETs incorporated side by side with the two-dimensional Gra-FET devices further highlighted limits in both temporal resolution and multiplexed measurements from the same cell for the different types of devices. The distinct and complementary capabilities of Gra- and NW-FETs could open up unique opportunities in the field of bioelectronics in the future.
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
Electric Field Effect in Atomically Thin Carbon Films
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Zhang, Y., Dubonos, S. V., Grigorieva, I. V., & Firsov, A. A. (2004) · Science · doi:10.1126/science.1102896 · Cited by 66,834
Geim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Graphene: Status and Prospects
Geim, A. K. (2009) · Science · doi:10.1126/science.1158877 · Cited by 13,942
Chemically Derived, Ultrasmooth Graphene Nanoribbon Semiconductors
Li, X., Wang, X., Zhang, L., Lee, S., & Dai, H. (2008) · Science · doi:10.1126/science.1150878 · Cited by 4,790
Exploring and Engineering the Cell Surface Interface
Stevens, M. M., & George, J. H. (2005) · Science · doi:10.1126/science.1106587 · Cited by 2,607
Spatially Resolved Raman Spectroscopy of Single- and Few-Layer Graphene
Graf, D., Molitor, F., Ensslin, K., Stampfer, C., Jungen, A., Hierold, C., & Wirtz, L. (2007) · Nano Letters · doi:10.1021/nl061702a · Cited by 2,540
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
Self-citationA Graphene Platform for Sensing Biomolecules
Lu, C., Yang, H., Zhu, C., Chen, X., & Chen, G. (2009) · Angewandte Chemie International Edition · doi:10.1002/anie.200901479 · Cited by 2,051
Blake, P., Hill, E. W., Castro Neto, A. H., Novoselov, K. S., Jiang, D., Yang, R., Booth, T. J., & Geim, A. K. (2007) · Applied Physics Letters · doi:10.1063/1.2768624 · Cited by 1,794
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
Self-citation
Cited by
Nanotechnological strategies for engineering complex tissues
Dvir, T., Timko, B. P., Kohane, D. S., & Langer, R. (2011) · Nature Nanotechnology · doi:10.1038/nnano.2010.246 · Cited by 1,367
Graphene-based nanomaterials for drug delivery and tissue engineering
Goenka, S., Sant, V., & Sant, S. (2014) · Journal of Controlled Release · doi:10.1016/j.jconrel.2013.10.017 · Cited by 1,311
New Horizons for Diagnostics and Therapeutic Applications of Graphene and Graphene Oxide
Feng, L., Wu, L., & Qu, X. (2013) · Advanced Materials · doi:10.1002/adma.201203229 · Cited by 632
Nanocarbons for Biology and Medicine: Sensing, Imaging, and Drug Delivery
Panwar, N., Soehartono, A. M., Chan, K. K., Zeng, S., Xu, G., Qu, J., Coquet, P., Yong, K.-T., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00099 · Cited by 555
Graphene-based nanomaterials for drug and/or gene delivery, bioimaging, and tissue engineering
Zhao, H., Ding, R., Zhao, X., Li, Y., Qu, L., Pei, H., Yildirimer, L., Wu, Z., & Zhang, W. (2017) · Drug Discovery Today · doi:10.1016/j.drudis.2017.04.002 · Cited by 336
Metadata
- Authors
- Cohen-Karni, T., Qing, Q., Li, Q., Fang, Y., & Lieber, C. M.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-02-05
- Volume
- 10
- Issue
- 3
- Pages
- 1098-1102
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2011512746
- Cited by
- 386
- References
- 32
- FWCI
- 15.22
- 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: Graphene and Nanowire Transistors for Cellular Interfaces and Electrical Recording. https://app.cochat.ai/papers/10.1021/nl1002608
- The paper
- Cohen-Karni, T., Qing, Q., Li, Q., Fang, Y., & Lieber, C. M. (2010). Graphene and Nanowire Transistors for Cellular Interfaces and Electrical Recording. Nano Letters. https://doi.org/10.1021/nl1002608
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.