journal article·2024-05-24Open access

Electrochemical Detection of Glutamate and Histamine Using Redox-Labeled Stimuli-Responsive Polymer as a Synthetic Target Receptor

Leila Ahmadian-Alam, Arturo Andrade, Edward Song

ACS Applied Polymer Materials· Volume 6· Issue 10

Abstract

Glutamate (Glu) and histamine (His) are two major neurotransmitters that play many critical roles in brain physiological functions and neurological disorders. Therefore, specific and sensitive monitoring of Glu and His is essential in the diagnosis and treatment of various mental health and neurodegenerative disorders. Both being nonelectroactive species, direct electrochemical detection of Glu and His has been challenging. Herein, we report a stimuli-responsive polymer-based biosensor for the electrochemical detection of Glu and His. The polymer-based target receptors consist of a linear chain stimuli-responsive templated polymer hybrid that is labeled with an osmium-based redox-active reporter molecule to elicit conformation-dependent electrochemical responses. The polymers are then attached to a gold electrode to implement an electrochemical sensor. The cyclic voltammetry (CV) and square-wave voltammetry (SWV) results confirmed the polymers’ conformational changes due to the specific target (i.e., Glu and His) recognition and the corresponding electrochemical detection capabilities. The voltammetry results indicate that this biosensor can be used as a “signal-on” and “signal-off” sensors for the detection of Glu and His concentrations, respectively. The developed biosensor also showed excellent regeneration capability by fully recovering the initial current signal after being rinsed with deionized water. To further validate the polymer’s utility as a target bioreceptor, the surface plasmon resonance (SPR) technique was used to characterize the binding affinity between the designed polymers and the target chemical. The SPR results exhibited the equilibrium dissociation constants ( K D ) of 2.40 μM and 1.54 μM for the polymer–Glu and polymer–His interactions, respectively. The results obtained in this work strongly suggest that the proposed sensing technology could potentially be used as a platform for monitoring nonelectroactive neurochemicals from animal models.
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Research context

OpenAlex topics: Molecular Sensors and Ion Detection · Photochromic and Fluorescence Chemistry · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical & Computer Engineering, University of New Hampshire, Durham, New Hampshire 03824, United States

Department of Neuroscience, Brown University, Providence, Rhode Island 02912, United States

Robert J. & Nancy D. Carney Institute for Brain Science, Brown University, Providence, Rhode Island 02912, United States

Funding

National Institute of Biomedical Imaging and Bioengineering · Division of Electrical, Communications and Cyber Systems · National Institute of Mental Health · National Institute of General Medical Sciences

References (45)

Show source-provided references
1. 10.1021/acsapm.0c0112010.1021/acsapm.0c01120 ↗
2. 10.3390/s1805133010.3390/s18051330 ↗
3. 10.1021/ja973070n10.1021/ja973070n ↗
4. 10.1002/anie.20050098910.1002/anie.200500989 ↗
5. 10.1016/j.bios.2023.11520210.1016/j.bios.2023.115202 ↗
6. 10.1021/acssensors.9b0161610.1021/acssensors.9b01616 ↗
7. 10.1021/acschemneuro.9b0003310.1021/acschemneuro.9b00033 ↗
8. 10.1155/2012/74891310.1155/2012/748913 ↗
9. 10.1146/annurev-bioeng-092419-06112710.1146/annurev-bioeng-092419-061127 ↗
10. 10.1021/ja301297g10.1021/ja301297g ↗
11. 10.1007/s10853-018-3041-610.1007/s10853-018-3041-6 ↗
12. 10.1016/j.bios.2019.03.05110.1016/j.bios.2019.03.051 ↗
13. 10.1002/adem.20220130310.1002/adem.202201303 ↗
14. 10.1021/ma052094910.1021/ma0520949 ↗
15. 10.1021/ar900165x10.1021/ar900165x ↗
16. 10.1039/c0an00239a10.1039/c0an00239a ↗
17. 10.1021/ac501758410.1021/ac5017584 ↗
18. 10.3390/cryst1209120910.3390/cryst12091209 ↗
19. 10.1039/C9AN01247H10.1039/C9AN01247H ↗
20. 10.1039/C6CS00196C10.1039/C6CS00196C ↗
21. 10.1016/j.aca.2015.01.01210.1016/j.aca.2015.01.012 ↗
22. 10.1039/C4DT01459F10.1039/C4DT01459F ↗
23. 10.1021/jp208348810.1021/jp2083488 ↗
24. 10.1016/j.sbi.2010.05.00110.1016/j.sbi.2010.05.001 ↗
25. 10.1016/j.tibtech.2010.10.00510.1016/j.tibtech.2010.10.005 ↗
26. 10.1021/acssensors.0c0108510.1021/acssensors.0c01085 ↗
27. 10.1016/j.ab.2021.11432810.1016/j.ab.2021.114328 ↗
28. 10.3390/s1702028810.3390/s17020288 ↗
29. 10.1038/s41583-022-00577-610.1038/s41583-022-00577-6 ↗
30. 10.3390/app921471910.3390/app9214719 ↗
31. 10.1016/j.bios.2017.11.06910.1016/j.bios.2017.11.069 ↗
32. 10.1021/acschemneuro.8b0062410.1021/acschemneuro.8b00624 ↗
33. 10.1021/jacs.9b0941410.1021/jacs.9b09414 ↗
34. 10.1016/j.bios.2019.01.04910.1016/j.bios.2019.01.049 ↗
35. 10.1016/j.foodchem.2021.13039610.1016/j.foodchem.2021.130396 ↗
36. 10.1016/j.talanta.2023.12498010.1016/j.talanta.2023.124980 ↗
37. 10.1016/j.aca.2013.07.04110.1016/j.aca.2013.07.041 ↗
38. 10.1038/nprot.2007.41310.1038/nprot.2007.413 ↗
39. 10.1021/la700328r10.1021/la700328r ↗
40. 10.1021/cr200271j10.1021/cr200271j ↗
41. 10.1021/acs.jpcb.6b1079710.1021/acs.jpcb.6b10797 ↗
42. 10.1021/acs.langmuir.5b0269810.1021/acs.langmuir.5b02698 ↗
43. 10.1021/acs.langmuir.7b0095310.1021/acs.langmuir.7b00953 ↗
44. 10.1021/ja054642410.1021/ja0546424 ↗
45. 10.1021/jp069060310.1021/jp0690603 ↗