The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Disposable Screen Printed Electrochemical Sensors: Tools for Environmental Monitoring
Open accessAbstract
Screen printing technology is a widely used technique for the fabrication of electrochemical sensors. This methodology is likely to underpin the progressive drive towards miniaturized, sensitive and portable devices, and has already established its route from “lab-to-market” for a plethora of sensors. The application of these sensors for analysis of environmental samples has been the major focus of research in this field. As a consequence, this work will focus on recent important advances in the design and fabrication of disposable screen printed sensors for the electrochemical detection of environmental contaminants. Special emphasis is given on sensor fabrication methodology, operating details and performance characteristics for environmental applications.
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
Electrochemical Glucose Sensors and Their Applications in Diabetes Management
Heller, A., & Feldman, B. (2008) · Chemical Reviews · doi:10.1021/cr068069y · Cited by 1,707
Cited by
Advanced Materials for Printed Wearable Electrochemical Devices: A Review
Kim, J., Kumar, R., Bandodkar, A. J., & Wang, J. (2017) · Advanced Electronic Materials · doi:10.1002/aelm.201600260 · Cited by 452
Review—An Overview on Recent Progress in Screen-Printed Electroanalytical (Bio)Sensors
Singh, S., Wang, J., & Cinti, S. (2022) · ECS Sensors Plus · doi:10.1149/2754-2726/ac70e2 · Cited by 300
Couto, R., & Quinaz, M. (2016) · Sensors · doi:10.3390/s16071015 · Cited by 28
Metadata
- Authors
- Hayat, A., & Marty, J.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2014-06-13
- Volume
- 14
- Issue
- 6
- Pages
- 10432-10453
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2091618039
- Cited by
- 432
- References
- 1
- FWCI
- 17.86
- Type
- journal article
- Language
- en
- Open access
- gold
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: Disposable Screen Printed Electrochemical Sensors: Tools for Environmental Monitoring. https://app.cochat.ai/papers/10.3390/s140610432
- The paper
- Hayat, A., & Marty, J. (2014). Disposable Screen Printed Electrochemical Sensors: Tools for Environmental Monitoring. Sensors. https://doi.org/10.3390/s140610432
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.