The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Nano/Mesoporous Carbon from Rice Starch for Voltammetric Detection of Ascorbic Acid
Open accessAbstract
Rice starch (RS-)based nano/mesoporous carbon (RSNMC) was prepared via a hard-templating route using cheap rice starch as a carbon source. XRD and TEM characterization indicated the formation of organized nanoporous RSNMC. Nitrogen absorption–desorption studies revealed a high surface area of up to 488 m2∙g−1, uniform pore size of 3.92 nm, and pore volume of 1.14 cm3∙g−1. A RSNMC-modified glassy carbon (GC) electrode was employed for the determination of ascorbic acid (AA) and exhibited a linear response in the concentration range of 0.005–6.0 mM with a detection limit of 0.003 mM. These results demonstrate that RSNMC has potential as an advanced and cheap electrode material for electrochemical sensing and other electrocatalytic 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
Adsorption of Gases in Multimolecular Layers
Brunauer, S., Emmett, P. H., & Teller, E. (1938) · Journal of the American Chemical Society · doi:10.1021/ja01269a023 · Cited by 28,156
Engineering carbon materials from the hydrothermal carbonization process of biomass
Hu, B., Wang, K., Wu, L., Yu, S., Antonietti, M., & Titirici, M. (2010) · Advanced Materials · doi:10.1002/adma.200902812 · Cited by 1,765
Cited by
Magnetic Nanoparticles in Targeted Drug Delivery: a Review
kianfar, E. (2021) · Journal of Superconductivity and Novel Magnetism · doi:10.1007/s10948-021-05932-9 · Cited by 280
Metadata
- Authors
- Wahab, M., Darain, F., Islam, N., & Young, D.
- Venue
- Molecules
- Publisher
- MDPI AG
- Published
- 2018-01-25
- Volume
- 23
- Issue
- 2
- Pages
- 234
- ISSN
- 1420-3049 (ISSN-L)
- OpenAlex
- W2790545634
- Cited by
- 262
- References
- 2
- FWCI
- 24.08
- 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: Nano/Mesoporous Carbon from Rice Starch for Voltammetric Detection of Ascorbic Acid. https://app.cochat.ai/papers/10.3390/molecules23020234
- The paper
- Wahab, M., Darain, F., Islam, N., & Young, D. (2018). Nano/Mesoporous Carbon from Rice Starch for Voltammetric Detection of Ascorbic Acid. Molecules. https://doi.org/10.3390/molecules23020234
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.
