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Employing Conductive Metal–Organic Frameworks for Voltammetric Detection of Neurochemicals
Abstract
This paper describes the first implementation of an array of two-dimensional (2D) layered conductive metal–organic frameworks (MOFs) as drop-casted film electrodes that facilitate voltammetric detection of redox active neurochemicals in a multianalyte solution. The device configuration comprises a glassy carbon electrode modified with a film of conductive MOF (M 3 HXTP 2; M = Ni, Cu; and X = NH, 2,3,6,7,10,11-hexaiminotriphenylene (HITP) or O, 2,3,6,7,10,11-hexahydroxytriphenylene (HHTP)). The utility of 2D MOFs in voltammetric sensing is measured by the detection of ascorbic acid (AA), dopamine (DA), uric acid (UA), and serotonin (5-HT) in 0.1 M PBS (pH = 7.4). In particular, Ni 3 HHTP 2 MOFs demonstrated nanomolar detection limits of 63 ± 11 nM for DA and 40 ± 17 nM for 5-HT through a wide concentration range (40 nM–200 μM). The applicability in biologically relevant detection was further demonstrated in simulated urine using Ni 3 HHTP 2 MOFs for the detection of 5-HT with a nanomolar detection limit of 63 ± 11 nM for 5-HT through a wide concentration range (63 nM–200 μM) in the presence of a constant background of DA. The implementation of conductive MOFs in voltammetric detection holds promise for further development of highly modular, sensitive, selective, and stable electroanalytical devices.
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Wong, C. H. A., & Pumera, M. (2012) · Electrochemistry Communications · doi:10.1016/j.elecom.2012.06.007 · Cited by 20
A Routine ‘Top-Down’ Approach to Analysis of the Human Serum Proteome
D’Silva, A., Hyett, J. A., & Coorssen, J. R. (2017) · Proteomes · doi:10.3390/proteomes5020013 · Cited by 15
Metadata
- Authors
- Ko, M., Mendecki, L., Eagleton, A. M., Durbin, C. G., Stolz, R. M., Meng, Z., & Mirica, K. A.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-03-10
- Volume
- 142
- Issue
- 27
- Pages
- 11717-11733
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W3011450457
- Cited by
- 298
- References
- 114
- FWCI
- 12.57
- 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 ›
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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.
