Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 169

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

Hao, Zhuang, Pan, Yunlu, Shao, Wenwen, Lin, Qiao, Zhao, Xuezeng·2019·Biosensors and Bioelectronics

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.bios.2019.03.053

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 9 references

Cited by

See all 169

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.