DataVXACS Applied Nano MaterialsPaper
journal article·2022-10-28

Fe3O4/MXene Nanosphere-Based Microfluidic Chip for the Accurate Diagnosis of Alzheimer’s Disease

Xiao-Hong Wen, Xue-Feng Zhao, Xiao-Huan Wang, Yang Wang, Jing-Chun Guo, Hou-Guang Zhou, Chuan-Tao Zuo, Hong-Liang Lu

ACS Applied Nano Materials· Volume 5· Issue 10
Publisher page
Source abstract

Abstract

Amyloid β protein oligomer (AβO) has been found to be a crucial biomarker of Alzheimer’s disease (AD). Exploring an accurate detection method of AβO is of great significance for early AD diagnosis and treatment. Herein, a fluorescent biosensor for AβO detection is designed. It integrates fluorescence resonance energy transfer (FRET)-based fluorescence detection with a poly(dimethylsiloxane) (PDMS)-based microfluidic chip. The carboxyl fluorescein-modified AβO aptamers are employed as the fluorophore, and three-dimensional Fe3O4/MXene nanospheres are used as the fluorescence quencher for the first time. Moreover, the PDMS-based multichamber microfluidic chip serves as a fluorescence detection platform. The Fe3O4/MXene-based nanosphere-based biosensor shows an excellent linear relationship between the fluorescence intensity and the logarithm of the AβO concentration in the range of 0.10–200 nM. The detection limit is ∼0.05 nM at the ultralow sample volumes of ∼4.50 μL. These results strongly show that the fabricated high-performance biosensor can be widely used in smart healthcare including but not limited to medical diagnosis, health monitoring, and biological studies.
Source: openalex_inverted_index · Quality: baseline

Research context

Nanomaterials

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Carbon and Quantum Dots Applications · MXene and MAX Phase Materials

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

Affiliations

State Key Laboratory of ASIC and System, Shanghai Institute of Intelligent Electronics and Systems, School of Microelectronics, Fudan University, Shanghai 200433, China

Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai 200000, China

State Key Laboratory of Medical Neurobiology and Institutes of Brain Science, Fudan University, Shanghai 200032, China

Department of Geriatric Neurology, Huashan Hospital, Fudan University, Shanghai 200040, China

PET Center, Huashan Hospital, Fudan University, Shanghai 200040, China

Yiwu Research Institute of Fudan University, Chengbei Road, Yiwu City 322000, Zhejiang, China

Funding

Fudan University · Ministry of Science and Technology of the People's Republic of China · China Postdoctoral Science Foundation · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China · Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

References (42)

Show source-provided references
1. 10.1016/j.bios.2019.01.00810.1016/j.bios.2019.01.008 ↗
2. 10.1021/acssensors.8b0093710.1021/acssensors.8b00937 ↗
3. 10.3390/jcm905149010.3390/jcm9051490 ↗
4. 10.1016/j.immuni.2019.03.01610.1016/j.immuni.2019.03.016 ↗
5. 10.1111/joim.1281610.1111/joim.12816 ↗
6. 10.15252/emmm.20170876310.15252/emmm.201708763 ↗
7. 10.1038/s41467-017-01150-x10.1038/s41467-017-01150-x ↗
8. 10.1096/fj.09-15035910.1096/fj.09-150359 ↗
9. 10.1021/ac102257m10.1021/ac102257m ↗
10. 10.1021/acssensors.9b0163010.1021/acssensors.9b01630 ↗
11. 10.1016/j.snb.2019.03.04910.1016/j.snb.2019.03.049 ↗
12. 10.1021/acsami.6b0542310.1021/acsami.6b05423 ↗
13. 10.1039/C9CS00318E10.1039/C9CS00318E ↗
14. 10.1039/D0AY01961E10.1039/D0AY01961E ↗
15. 10.1016/j.bios.2016.05.06610.1016/j.bios.2016.05.066 ↗
16. 10.1016/j.bios.2020.11279810.1016/j.bios.2020.112798 ↗
17. 10.1016/j.bios.2020.11251510.1016/j.bios.2020.112515 ↗
18. 10.1002/smll.20140259310.1002/smll.201402593 ↗
19. 10.1016/j.bios.2015.11.04810.1016/j.bios.2015.11.048 ↗
20. 10.1016/j.talanta.2020.12093010.1016/j.talanta.2020.120930 ↗
21. 10.1016/j.bios.2019.11184010.1016/j.bios.2019.111840 ↗
22. 10.1016/j.snb.2017.05.10610.1016/j.snb.2017.05.106 ↗
23. 10.1016/j.jcis.2020.09.03010.1016/j.jcis.2020.09.030 ↗
24. 10.1021/acsami.6b0236110.1021/acsami.6b02361 ↗
25. 10.1021/acs.analchem.8b0308310.1021/acs.analchem.8b03083 ↗
26. 10.1039/C9SC03049B10.1039/C9SC03049B ↗
27. 10.1016/j.bios.2019.11153110.1016/j.bios.2019.111531 ↗
28. 10.1016/j.snb.2020.12851510.1016/j.snb.2020.128515 ↗
29. 10.1016/j.talanta.2020.12076410.1016/j.talanta.2020.120764 ↗
30. 10.1016/j.bios.2020.11214810.1016/j.bios.2020.112148 ↗
31. 10.1039/C4LC00248B10.1039/C4LC00248B ↗
32. 10.1002/aelm.20190106410.1002/aelm.201901064 ↗
33. 10.1002/smll.20140259310.1002/smll.201402593 ↗
34. 10.1021/ac300330g10.1021/ac300330g ↗
35. 10.1021/acs.analchem.8b0427810.1021/acs.analchem.8b04278 ↗
36. 10.1016/j.snb.2017.01.16110.1016/j.snb.2017.01.161 ↗
37. 10.1016/j.nanoen.2019.10434610.1016/j.nanoen.2019.104346 ↗
38. 10.1016/j.matdes.2016.10.05310.1016/j.matdes.2016.10.053 ↗
39. 10.1007/s10853-020-05362-310.1007/s10853-020-05362-3 ↗
40. 10.1016/j.apsusc.2017.04.23910.1016/j.apsusc.2017.04.239 ↗
41. 10.1021/acsami.5b0800410.1021/acsami.5b08004 ↗
42. 10.1039/D0AN00440E10.1039/D0AN00440E ↗