The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
3D-Printed Graphene/Polylactic Acid Electrodes Promise High Sensitivity in Electroanalysis
Abstract
Additive manufacturing provides a unique tool for prototyping structures toward electrochemical sensing, due to its ability to produce highly versatile, tailored-shaped devices in a low-cost and fast way with minimized waste. Here we present 3D-printed graphene electrodes for electrochemical sensing. Ring- and disc-shaped electrodes were 3D-printed with a Fused Deposition Modeling printer and characterized using cyclic voltammetry and scanning electron microscopy. Different redox probes K 3 Fe(CN) 6:K 4 Fe(CN) 6, FeCl 3, ascorbic acid, Ru(NH 3 ) 6 Cl 3, and ferrocene monocarboxylic acid) were used to assess the electrochemical performance of these devices. Finally, the electrochemical detection of picric acid and ascorbic acid was carried out as proof-of-concept analytes for sensing applications. Such customizable platforms represent promising alternatives to conventional electrodes for a wide range of sensing 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
Evaluation of 3D Printing and Its Potential Impact on Biotechnology and the Chemical Sciences
Gross, B. C., Erkal, J. L., Lockwood, S. Y., Chen, C., & Spence, D. M. (2014) · Analytical Chemistry · doi:10.1021/ac403397r · Cited by 1,746
Cited by
Fused deposition modeling: process, materials, parameters, properties, and applications
Rajan, K., Samykano, M., Kadirgama, K., Harun, W. S. W., & Rahman, M. M. (2022) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-022-08860-7 · Cited by 426
Tripathi, N., Misra, M., & Mohanty, A. K. (2021) · ACS Engineering Au · doi:10.1021/acsengineeringau.1c00011 · Cited by 304
Metadata
- Authors
- Manzanares Palenzuela, C. L., Novotný, F., Krupička, P., Sofer, Z., & Pumera, M.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-04-16
- Volume
- 90
- Issue
- 9
- Pages
- 5753-5757
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2799843285
- Cited by
- 275
- References
- 1
- FWCI
- 12.04
- 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: 3D-Printed Graphene/Polylactic Acid Electrodes Promise High Sensitivity in Electroanalysis. https://app.cochat.ai/papers/10.1021/acs.analchem.8b00083
- The paper
- Manzanares Palenzuela, C. L., Novotný, F., Krupička, P., Sofer, Z., & Pumera, M. (2018). 3D-Printed Graphene/Polylactic Acid Electrodes Promise High Sensitivity in Electroanalysis. Analytical Chemistry. https://doi.org/10.1021/acs.analchem.8b00083
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.