In Vivo Photoelectrochemical Analysis
Microelectrode-based photoelectrochemical (PEC) technology is a novel and rapidly developing analytical method for the in vivo probing of neurochemical events in the brain, which is distinguished by its low background noise and high detection sensitivity. This mini-review focuses on recent advances...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Chemosensors |
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| Online Access: | https://www.mdpi.com/2227-9040/13/1/2 |
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| _version_ | 1832588842287235072 |
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| author | Li Li Yueru Zhao Cong Pan Wenjie Ma Ping Yu |
| author_facet | Li Li Yueru Zhao Cong Pan Wenjie Ma Ping Yu |
| author_sort | Li Li |
| collection | DOAJ |
| description | Microelectrode-based photoelectrochemical (PEC) technology is a novel and rapidly developing analytical method for the in vivo probing of neurochemical events in the brain, which is distinguished by its low background noise and high detection sensitivity. This mini-review focuses on recent advances in in vivo PEC biosensors. We classify the key characteristics of PEC technology and elucidate its underlying principles. Furthermore, newly developed PEC neurochemical sensing methods for detecting various substances, including SO<sub>2</sub>, antibiotics, metal ions, neurotransmitters, and thioalcohols, as well as cells are discussed. Finally, this review concludes with a comprehensive summary and perspectives on the emerging opportunities and challenges facing this field. |
| format | Article |
| id | doaj-art-7165b33b565a4eb9a143f8d5cbba334b |
| institution | Kabale University |
| issn | 2227-9040 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Chemosensors |
| spelling | doaj-art-7165b33b565a4eb9a143f8d5cbba334b2025-01-24T13:26:51ZengMDPI AGChemosensors2227-90402024-12-01131210.3390/chemosensors13010002In Vivo Photoelectrochemical AnalysisLi Li0Yueru Zhao1Cong Pan2Wenjie Ma3Ping Yu4Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, ChinaBeijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, ChinaBeijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, ChinaBeijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, ChinaBeijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, ChinaMicroelectrode-based photoelectrochemical (PEC) technology is a novel and rapidly developing analytical method for the in vivo probing of neurochemical events in the brain, which is distinguished by its low background noise and high detection sensitivity. This mini-review focuses on recent advances in in vivo PEC biosensors. We classify the key characteristics of PEC technology and elucidate its underlying principles. Furthermore, newly developed PEC neurochemical sensing methods for detecting various substances, including SO<sub>2</sub>, antibiotics, metal ions, neurotransmitters, and thioalcohols, as well as cells are discussed. Finally, this review concludes with a comprehensive summary and perspectives on the emerging opportunities and challenges facing this field.https://www.mdpi.com/2227-9040/13/1/2photoelectrochemical sensorneurochemical eventsin vivo analysis |
| spellingShingle | Li Li Yueru Zhao Cong Pan Wenjie Ma Ping Yu In Vivo Photoelectrochemical Analysis Chemosensors photoelectrochemical sensor neurochemical events in vivo analysis |
| title | In Vivo Photoelectrochemical Analysis |
| title_full | In Vivo Photoelectrochemical Analysis |
| title_fullStr | In Vivo Photoelectrochemical Analysis |
| title_full_unstemmed | In Vivo Photoelectrochemical Analysis |
| title_short | In Vivo Photoelectrochemical Analysis |
| title_sort | in vivo photoelectrochemical analysis |
| topic | photoelectrochemical sensor neurochemical events in vivo analysis |
| url | https://www.mdpi.com/2227-9040/13/1/2 |
| work_keys_str_mv | AT lili invivophotoelectrochemicalanalysis AT yueruzhao invivophotoelectrochemicalanalysis AT congpan invivophotoelectrochemicalanalysis AT wenjiema invivophotoelectrochemicalanalysis AT pingyu invivophotoelectrochemicalanalysis |