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Chen JY, Huang S, Liu SJ, Liu ZJ, Xu XY, He MY, Yao CJ, Zhang T, Yang HQ, Huang XS, Liu J, Zhang XD, Xie X, Chen HJ. Au 24Cd Nanoenzyme Coating for Enhancing Electrochemical Sensing Performance of Metal Wire Microelectrodes. BIOSENSORS 2024; 14:328. [PMID: 39056604 PMCID: PMC11274932 DOI: 10.3390/bios14070328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 06/28/2024] [Accepted: 06/29/2024] [Indexed: 07/28/2024]
Abstract
Dopamine (DA), ascorbic acid (AA), and uric acid (UA) are crucial neurochemicals, and their abnormal levels are involved in various neurological disorders. While electrodes for their detection have been developed, achieving the sensitivity required for in vivo applications remains a challenge. In this study, we proposed a synthetic Au24Cd nanoenzyme (ACNE) that significantly enhanced the electrochemical performance of metal electrodes. ACNE-modified electrodes demonstrated a remarkable 10-fold reduction in impedance compared to silver microelectrodes. Furthermore, we validated their excellent electrocatalytic activity and sensitivity using five electrochemical detection methods, including cyclic voltammetry, differential pulse voltammetry, square-wave pulse voltammetry, normal pulse voltammetry, and linear scanning voltammetry. Importantly, the stability of gold microelectrodes (Au MEs) modified with ACNEs was significantly improved, exhibiting a 30-fold enhancement compared to Au MEs. This improved performance suggests that ACNE functionalization holds great promise for developing micro-biosensors with enhanced sensitivity and stability for detecting small molecules.
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Affiliation(s)
- Jia-Yi Chen
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Shuang Huang
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China;
| | - Shuang-Jie Liu
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; (S.-J.L.); (X.-D.Z.)
| | - Zheng-Jie Liu
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Xing-Yuan Xu
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Meng-Yi He
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Chuan-Jie Yao
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Tao Zhang
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Han-Qi Yang
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Xin-Shuo Huang
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
| | - Jing Liu
- The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China;
| | - Xiao-Dong Zhang
- Tianjin Key Laboratory of Brain Science and Neural Engineering, Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China; (S.-J.L.); (X.-D.Z.)
| | - Xi Xie
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
- Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument, School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen 518107, China;
| | - Hui-Jiuan Chen
- State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-Sen University, Guangzhou 510006, China; (J.-Y.C.); (Z.-J.L.); (X.-Y.X.); (M.-Y.H.); (C.-J.Y.); (T.Z.); (H.-Q.Y.); (X.-S.H.)
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Movassaghi CS, Alcañiz Fillol M, Kishida KT, McCarty G, Sombers LA, Wassum KM, Andrews AM. Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry. Anal Chem 2024; 96:6097-6105. [PMID: 38597398 PMCID: PMC11044109 DOI: 10.1021/acs.analchem.3c04938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 04/11/2024]
Abstract
This perspective encompasses a focused review of the literature leading to a tipping point in electroanalytical chemistry. We tie together the threads of a "revolution" quietly in the making for years through the work of many authors. Long-held misconceptions about the use of background subtraction in fast voltammetry are addressed. We lay out future advantages that accompany background-inclusive voltammetry, particularly when paired with modern machine-learning algorithms for data analysis.
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Affiliation(s)
- Cameron S. Movassaghi
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los Angeles, California 90095, United States
| | - Miguel Alcañiz Fillol
- Interuniversity
Research Institute for Molecular Recognition and Technological Development, Universitat Politècnica de València-Universitat
de València, Camino de Vera s/n, Valencia 46022, Spain
| | - Kenneth T. Kishida
- Department
of Translational Neuroscience, Wake Forest
School of Medicine, Winston-Salem, North Carolina 27101, United States
- Department
of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, North Carolina 27101, United States
| | - Gregory McCarty
- Department
of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Leslie A. Sombers
- Department
of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
- Comparative
Medicine Institute, North Carolina State
University, Raleigh, North Carolina 27695, United States
| | - Kate M. Wassum
- Department
of Psychology, University of California,
Los Angeles, Los Angeles, California 90095, United States
- Brain Research
Institute, University of California, Los
Angeles, Los Angeles, California 90095, United States
- Integrative
Center for Learning and Memory, University
of California, Los Angeles, Los
Angeles, California 90095, United States
- Integrative
Center for Addictive Disorders, University
of California, Los Angeles, Los
Angeles, California 90095, United States
| | - Anne Milasincic Andrews
- Department
of Chemistry and Biochemistry, University
of California, Los Angeles, Los Angeles, California 90095, United States
- Brain Research
Institute, University of California, Los
Angeles, Los Angeles, California 90095, United States
- Department
of Psychiatry and Biobehavioral Science, University of California, Los Angeles, Los Angeles, California 90095, United States
- Hatos Center
for Neuropharmacology, University of California,
Los Angeles, Los Angeles, California 90095, United States
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Seki M, Wada R, Muguruma H. Electrochemical behavior of intramolecular cyclization reaction of catecholamines at carbon nanotube/carboxymethylcellulose electrode. J Electroanal Chem (Lausanne) 2022. [DOI: 10.1016/j.jelechem.2022.116486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Liu R, Feng ZY, Li D, Jin B, Yan Lan, Meng LY. Recent trends in carbon-based microelectrodes as electrochemical sensors for neurotransmitter detection: A review. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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Affiliation(s)
- Huixin Liu
- Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants School of Resources & Environmental Engineering East China University of Science & Technology Shanghai 200237 PR China
- State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources & Environmental Engineering East China University of Science & Technology Shanghai 200237 PR China
| | - Xiaomei Yan
- Department of Chemistry Technical University of Denmark Kongens Lyngby 2800 Denmark
| | - Zhen Gu
- Department of Automation School of Information Science and Engineering East China University of Science & Technology Shanghai 200237 PR China
| | - Guangli Xiu
- Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants School of Resources & Environmental Engineering East China University of Science & Technology Shanghai 200237 PR China
- State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources & Environmental Engineering East China University of Science & Technology Shanghai 200237 PR China
| | - Xinxin Xiao
- Department of Chemistry Technical University of Denmark Kongens Lyngby 2800 Denmark
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Park C, Oh Y, Shin H, Kim J, Kang Y, Sim J, Cho HU, Lee HK, Jung SJ, Blaha CD, Bennet KE, Heien ML, Lee KH, Kim IY, Jang DP. Fast Cyclic Square-Wave Voltammetry To Enhance Neurotransmitter Selectivity and Sensitivity. Anal Chem 2018; 90:13348-13355. [PMID: 30358389 DOI: 10.1021/acs.analchem.8b02920] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Although fast-scan cyclic voltammetry (FSCV) has been widely used for in vivo neurochemical detection, the sensitivity and selectivity of the technique can be further improved. In this study, we develop fast cyclic square-wave voltammetry (FCSWV) as a novel voltammetric technique that combines large-amplitude cyclic square-wave voltammetry (CSWV) with background subtraction. A large-amplitude, square-shaped potential was applied to induce cycling through multiple redox reactions within a square pulse to increase sensitivity and selectivity when combined with a two-dimensional voltammogram. As a result, FCSWV was significantly more sensitive than FSCV ( n = 5 electrodes, two-way ANOVA, p = 0.0002). In addition, FCSWV could differentiate dopamine from other catecholamines (e.g., epinephrine and norepinephrine) and serotonin better than conventional FSCV. With the confirmation that FCSWV did not influence local neuronal activity, despite the large amplitude of the square waveform, it could monitor electrically induced phasic changes in dopamine release in rat striatum before and after injecting nomifensine, a dopamine reuptake inhibitor.
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Affiliation(s)
- Cheonho Park
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Yoonbae Oh
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - Hojin Shin
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Jaekyung Kim
- Department of Neurology , University of California-San Francisco , San Francisco , California 94158 , United States
| | - Yumin Kang
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Jeongeun Sim
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Hyun U Cho
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Han Kyu Lee
- Department of Biomedical Science , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Sung Jun Jung
- Department of Biomedical Science , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Charles D Blaha
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - Kevin E Bennet
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States.,Division of Engineering , Mayo Clinic , Rochester , Minnesota 55901 , United States
| | - Michael L Heien
- Department of Chemistry and Biochemistry , University of Arizona , Tucson , Arizona 85721 , United States
| | - Kendall H Lee
- Department of Neurologic Surgery , Mayo Clinic , Rochester , Minnesota 55905 , United States
| | - In Young Kim
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
| | - Dong Pyo Jang
- Department of Biomedical Engineering , Hanyang University , Seoul 133-791 , Republic of Korea
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