The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Graphene-based fully integrated portable nanosensing system for on-line detection of cytokine biomarkers in saliva
Abstract
Saliva has been reported to contain various cytokine biomarkers which are associated with some severe diseases such as cancers. Non-invasive saliva diagnosis using wearable or portable devices may pave a new avenue for monitoring conditions of the high risk population. Here, a graphene-based fully integrated portable nanosensing system, the entire size of which is smaller than a smart-phone and can be handheld, is presented for on-line detection of cytokine biomarkers in saliva. This miniaturized system employs an aptameric graphene-based field effect transistor (GFET) using a buried-gate geometry with HfO2 as the dielectric layer and on-line signal processing circuits to realize the transduction and processing of signals which reflect cytokine concentrations. The signal can be wirelessly transmitted to a smart-phone or cloud sever through the Wi-Fi connection for visualizing the trend of the cytokine concentration change. Interleukin-6 (IL-6) is used as a representative to examine the sensing capability of the system. Experimental results demonstrate that the nanosensing system responds to the change of IL-6 concentration within 400s in saliva with a detection limit down to 12 pM. Therefore, this portable system offers the practicality to be potentially used for non-invasive saliva diagnosis of diseases at early stage.
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
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
Bariya, M., Nyein, H. Y. Y., & Javey, A. (2018) · Nature Electronics · doi:10.1038/s41928-018-0043-y · Cited by 1,486
Wearable and flexible electronics for continuous molecular monitoring
Yang, Y., & Gao, W. (2019) · Chemical Society Reviews · doi:10.1039/c7cs00730b · Cited by 1,315
Graphene-based wireless bacteria detection on tooth enamel
Mannoor, M. S., Tao, H., Clayton, J. D., Sengupta, A., Kaplan, D. L., Naik, R. R., Verma, N., Omenetto, F. G., & McAlpine, M. C. (2012) · Nature Communications · doi:10.1038/ncomms1767 · Cited by 1,014
Wearable smart sensor systems integrated on soft contact lenses for wireless ocular diagnostics
Kim, J., Kim, M., Lee, M.-S., Kim, K., Ji, S., Kim, Y.-T., Park, J., Na, K., Bae, K.-H., Kyun Kim, H., et al. (2017) · Nature Communications · doi:10.1038/ncomms14997 · Cited by 951
Wearable salivary uric acid mouthguard biosensor with integrated wireless electronics
Kim, J., Imani, S., de Araujo, W. R., Warchall, J., Valdés-Ramírez, G., Paixão, T. R. L. C., Mercier, P. P., & Wang, J. (2015) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2015.07.039 · Cited by 678
Soft, smart contact lenses with integrations of wireless circuits, glucose sensors, and displays
Park, J., Kim, J., Kim, S.-Y., Cheong, W. H., Jang, J., Park, Y.-G., Na, K., Kim, Y.-T., Heo, J. H., Lee, C. Y., et al. (2018) · Science Advances · doi:10.1126/sciadv.aap9841 · Cited by 671
Non-invasive mouthguard biosensor for continuous salivary monitoring of metabolites
Kim, J., Valdés-Ramírez, G., Bandodkar, A. J., Jia, W., Martinez, A. G., Ramírez, J., Mercier, P., & Wang, J. (2014) · The Analyst · doi:10.1039/c3an02359a · Cited by 367
Interleukin‐6 promotes tumorigenesis by altering DNA methylation in oral cancer cells
Gasche, J. A., Hoffmann, J., Boland, C. R., & Goel, A. (2011) · International Journal of Cancer · doi:10.1002/ijc.25764 · Cited by 178
Cited by
Artificial intelligence biosensors: Challenges and prospects
Jin, X., Liu, C., Xu, T., Su, L., & Zhang, X. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112412 · Cited by 399
Two-Dimensional Field-Effect Transistor Sensors: The Road toward Commercialization
Dai, C., Liu, Y., & Wei, D. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00924 · Cited by 303
Emerging Telemedicine Tools for Remote COVID-19 Diagnosis, Monitoring, and Management
Lukas, H., Xu, C., Yu, Y., & Gao, W. (2020) · ACS Nano · doi:10.1021/acsnano.0c08494 · Cited by 265
Li, G., & Wen, D. (2020) · Journal of Materials Chemistry B · doi:10.1039/c9tb02474c · Cited by 119
Dong, T., Matos Pires, N. M., Yang, Z., & Jiang, Z. (2023) · Advanced Science · doi:10.1002/advs.202205429 · Cited by 104
Metadata
- Authors
- Hao, Z., Pan, Y., Shao, W., Lin, Q., & Zhao, X.
- Venue
- Biosensors and Bioelectronics
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 134
- Pages
- 16-23
- ISSN
- 0956-5663 (ISSN-L)
- OpenAlex
- W2932501924
- Cited by
- 169
- References
- 9
- FWCI
- 6.02
- 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: Graphene-based fully integrated portable nanosensing system for on-line detection of cytokine biomarkers in saliva. https://app.cochat.ai/papers/10.1016/j.bios.2019.03.053
- The paper
- Hao, Z., Pan, Y., Shao, W., Lin, Q., & Zhao, X. (2019). Graphene-based fully integrated portable nanosensing system for on-line detection of cytokine biomarkers in saliva. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2019.03.053
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.