journal article·2024-07-26

Redox-Induced Multisignal Sensing Based on Fluorescent Polydopamine Nanoparticles and MnO2 Nanozyme for the Detection and Differentiation of Reducing Substances

Jialing Gui, You Fan, Haoyu Chen, Feng Liu, Shu Huang, Mingjie Wei, Xiaohua Zhu, Youyu Zhang, Meiling Liu, Shouzhuo Yao

ACS Applied Nano Materials· Volume 7· Issue 14
Publisher page

Abstract

Reducing substances play crucial roles in various physiological processes and serve as essential components in the antioxidant defense mechanisms within organisms. Nonetheless, accurately detecting and distinguishing between these substances present a notable challenge due to the presence of potential interferences in complex samples. In response to this challenge, a novel multisignal sensing platform and sensor array have been developed, leveraging fluorescent polydopamine nanoparticles (FPDA) and MnO 2 nanozyme. The MnO 2 /FPDA nanoplatform possesses exceptional catalytic activity and the ability to modulate ratiometric fluorescence in the presence of o -phenylenediamine (OPD), offering a platform with dual-channel output signals in ratiometric fluorescence and UV absorbance. Upon introduction of H 2 O 2, the MnO 2 undergoes transformation into Mn 2+, thereby reducing the oxidase-like activity of MnO 2 and reinstating the fluorescence of FPDA. Notably, this platform exhibits detection ranges for H 2 O 2 from 5 to 500 and 15 to 500 μM, with corresponding detection limits of 3.18 and 10.67 μM using fluorescence and colorimetric channels, respectively. This setup has been deployed for quantifying H 2 O 2 in milk and cell lysates, showcasing its versatility as a universal analysis tool for other reducing agents like ascorbic acid. Furthermore, a sensor array has been developed based on MnO 2 /FPDA/OPD, demonstrating a robust capacity to effectively differentiate and identify five reducing agents effectively. This sensor array also exhibits strong performance in discriminating reducing substances within intricate or authentic samples, such as oranges and cell lysates, underscores its practical utility. This study offers significant insights into the development of sensing platforms for the selectively detecting specific reducing species in real samples or deploying sensor arrays for distinguishing multiple components within authentic samples. Such advancements pave the way for enhanced analysis and screening of reducing substances in cellular and food samples.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Nanomaterials in Catalysis · Electrochemical sensors and biosensors · Advanced biosensing and bioanalysis techniques

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

Affiliations

Department of Orthopedics, Hunan Provincial People’s Hospital, The First-Affiliated Hospital of Hunan Normal University, Changsha 410005, China

Key Laboratory of Chemical Biology & Traditional Chinese Medicine Research (Ministry of Education, China), College of Chemistry and Chemical Engineering, Hunan Normal University, Changsha 410081, P. R. China

School of Pharmacy, Xianning Medical College, Hubei University of Science and Technology, Xianning 437100, P. R. China

Funding

Hunan Provincial Science and Technology Department · Science and Technology Program of Hubei Province · National Natural Science Foundation of China · Hunan Provincial High level Health Talent Support Program · Key Scientific Research Project of Hunan Provincial Department of Education · Hunan Provincial Health Special Fund Research Project

References (27)

Show source-provided references
1. 10.1016/0003-9861(59)90090-610.1016/0003-9861(59)90090-6 ↗
2. 10.1016/0378-4347(85)80087-610.1016/0378-4347(85)80087-6 ↗
3. 10.1021/ol702539v10.1021/ol702539v ↗
4. 10.3390/foods1216310010.3390/foods12163100 ↗
5. 10.1016/j.jcis.2022.08.10710.1016/j.jcis.2022.08.107 ↗
6. 10.1016/j.snb.2018.09.12010.1016/j.snb.2018.09.120 ↗
7. 10.1021/acsanm.2c0485310.1021/acsanm.2c04853 ↗
8. 10.1016/j.bios.2014.09.09310.1016/j.bios.2014.09.093 ↗
9. 10.1021/acssensors.3c0222910.1021/acssensors.3c02229 ↗
10. 10.1039/D2TB02438A10.1039/D2TB02438A ↗
11. 10.1016/j.aca.2023.34214610.1016/j.aca.2023.342146 ↗
12. 10.1039/C8CS00457A10.1039/C8CS00457A ↗
13. 10.1016/j.foodchem.2023.13794710.1016/j.foodchem.2023.137947 ↗
14. 10.1021/acs.analchem.0c0525710.1021/acs.analchem.0c05257 ↗
15. 10.1016/j.cej.2023.14398610.1016/j.cej.2023.143986 ↗
16. 10.1021/acs.jafc.1c0117410.1021/acs.jafc.1c01174 ↗
17. 10.1039/C7RA04107A10.1039/C7RA04107A ↗
18. 10.1021/cr400407a10.1021/cr400407a ↗
19. 10.1039/C9MH01197H10.1039/C9MH01197H ↗
20. 10.1016/j.microc.2023.10880510.1016/j.microc.2023.108805 ↗
21. 10.1021/acs.analchem.0c0510210.1021/acs.analchem.0c05102 ↗
22. 10.1021/acsami.7b1881610.1021/acsami.7b18816 ↗
23. 10.1021/acs.analchem.3c0524010.1021/acs.analchem.3c05240 ↗
24. 10.1021/acsami.0c0091710.1021/acsami.0c00917 ↗
25. 10.1006/abio.1997.229310.1006/abio.1997.2293 ↗
26. 10.1007/s00604-020-04389-210.1007/s00604-020-04389-2 ↗
27. 10.1016/j.foodchem.2018.03.03210.1016/j.foodchem.2018.03.032 ↗