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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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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
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- Ko, M., Mendecki, L., Eagleton, A. M., Durbin, C. G., Stolz, R. M., Meng, Z., & Mirica, K. A. (2020). Employing Conductive Metal–Organic Frameworks for Voltammetric Detection of Neurochemicals. Journal of the American Chemical Society. https://doi.org/10.1021/jacs.9b13402
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