journal article·2022-12-28

Ir Cluster-Anchored MOFs as Peroxidase-Mimetic Nanoreactors for Diagnosing Hydrogen Peroxide-Related Biomarkers

Shengdong Mu, Yuting Deng, Zhenyu Xing, Xiao Rong, Chao He, Sujiao Cao, Tian Ma, Chong Cheng, Yinghan Wang

ACS Applied Materials & Interfaces· Volume 14· Issue 51
Publisher page

Abstract

Exploring multifaceted and highly sensitive biosensors is a major challenge in biotechnology and medical diagnosis. Here, we create a new iridium (Ir) cluster-anchored metal-organic framework (MOF, namely, IrNCs@Ti-MOF via a coordination-assisted strategy) as a peroxidase (POD)-mimetic nanoreactor for colorimetrically diagnosing hydrogen peroxide-related biomarkers. Owing to the IrNCs-N/O coordination of Ti-MOF and unique enzymatic properties of Ir clusters, the IrNCs@Ti-MOF exhibits exceptional and exclusive POD-mimetic activities (Km = 3.94 mM, Vmax = 1.70 μM s-1, and turnover number = 39.64 × 10-3 s-1 for H2O2), thus demonstrating excellent POD-mimetic detecting activity and also super substrate selectivity, which is considerably more efficient than recently reported POD mimetics. Colorimetric studies disclose that this IrNCs@Ti-MOF-based nanoreactor shows multifaceted and efficient diagnosing activities and substrate selectivity, such as a limit of detection (LOD): 14.12 μM for H2O2 at a range of 0-900 μM, LOD: 3.41 μM for l-cysteine at a range of 0-50 μM, and LOD: 20.0 μM for glucose at a range of 0-600 μM, which enables an ultrasensitive and visual determination of abundant H2O2-related biomarkers. The proposed design will not only provide highly sensitive and cheap colorimetric biosensors in medical resource-limited areas but also offer a new path to engineering customizable enzyme-mimetic nanoreactors as a powerful tool for accurate and rapid diagnosis.
Source: europepmc · Quality: candidate unverified · Source record ↗

Research context

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

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

Affiliations

College of Polymer Science and Engineering, Med-X Center for Materials, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu 610065, China

Department of Ultrasound, West China Hospital, Sichuan University, Chengdu 610041, China

Funding

State Key Laboratory of Polymer Materials Engineering · Ministry of Science and Technology of the People's Republic of China · Department of Science and Technology of Sichuan Province · National Natural Science Foundation of China · Med-X Center for Materials, Sichuan University · West China Hospital, Sichuan University

References (49)

Show source-provided references
1. 10.1016/j.trac.2018.05.01210.1016/j.trac.2018.05.012 ↗
2. 10.1016/j.talanta.2021.12229910.1016/j.talanta.2021.122299 ↗
3. 10.1002/inf2.1206410.1002/inf2.12064 ↗
4. 10.1002/exp.2021017610.1002/exp.20210176 ↗
5. 10.1002/advs.20210397110.1002/advs.202103971 ↗
6. 10.1038/s41565-020-0759-510.1038/s41565-020-0759-5 ↗
7. 10.1016/j.jconrel.2019.08.03210.1016/j.jconrel.2019.08.032 ↗
8. 10.1002/adfm.20210412610.1002/adfm.202104126 ↗
9. 10.1039/c000682n10.1039/c000682n ↗
10. 10.1007/s42765-020-00040-010.1007/s42765-020-00040-0 ↗
11. 10.1038/s41467-019-08657-510.1038/s41467-019-08657-5 ↗
12. 10.1021/acs.biomac.6b0152710.1021/acs.biomac.6b01527 ↗
13. 10.1002/anie.20201373710.1002/anie.202013737 ↗
14. 10.1002/adma.20220025510.1002/adma.202200255 ↗
15. 10.1002/adma.20210864610.1002/adma.202108646 ↗
16. 10.1002/adma.20210109510.1002/adma.202101095 ↗
17. 10.1038/s41467-021-26456-910.1038/s41467-021-26456-9 ↗
18. 10.1002/anie.20046064910.1002/anie.200460649 ↗
19. 10.1016/j.biomaterials.2015.01.01210.1016/j.biomaterials.2015.01.012 ↗
20. 10.1016/j.bios.2016.11.01110.1016/j.bios.2016.11.011 ↗
21. 10.1016/j.cclet.2021.11.02510.1016/j.cclet.2021.11.025 ↗
22. 10.1016/j.smaim.2021.05.00210.1016/j.smaim.2021.05.002 ↗
23. 10.1002/adfm.20180148410.1002/adfm.201801484 ↗
24. 10.1038/nnano.2012.9110.1038/nnano.2012.91 ↗
25. 10.1016/j.biortech.2017.09.03510.1016/j.biortech.2017.09.035 ↗
26. 10.1039/c2cc17013b10.1039/c2cc17013b ↗
27. 10.1016/j.aca.2016.11.03510.1016/j.aca.2016.11.035 ↗
28. 10.1021/acscatal.0c0164710.1021/acscatal.0c01647 ↗
29. 10.1038/s41467-020-18064-w10.1038/s41467-020-18064-w ↗
30. 10.1002/adma.20220620810.1002/adma.202206208 ↗
31. 10.1021/acscatal.0c0442610.1021/acscatal.0c04426 ↗
32. 10.1002/anie.20220410810.1002/anie.202204108 ↗
33. 10.1002/adma.20200306510.1002/adma.202003065 ↗
34. 10.1002/anie.20171172510.1002/anie.201711725 ↗
35. 10.1021/jacs.7b0168610.1021/jacs.7b01686 ↗
36. 10.1039/c9cy01690b10.1039/c9cy01690b ↗
37. 10.1016/j.cej.2020.12688610.1016/j.cej.2020.126886 ↗
38. 10.1021/acsami.7b0161610.1021/acsami.7b01616 ↗
39. 10.1039/c7ra10370k10.1039/c7ra10370k ↗
40. 10.1016/j.snb.2017.12.11510.1016/j.snb.2017.12.115 ↗
41. 10.1016/j.snb.2016.07.16810.1016/j.snb.2016.07.168 ↗
42. 10.1039/d0dt02395g10.1039/d0dt02395g ↗
43. 10.1002/chem.20210084610.1002/chem.202100846 ↗
44. 10.1039/c8ay00707a10.1039/c8ay00707a ↗
45. 10.1042/bj2006056610.1042/bj20060566 ↗
46. 10.1002/chem.20210459110.1002/chem.202104591 ↗
47. 10.1016/j.colsurfb.2021.11178310.1016/j.colsurfb.2021.111783 ↗
48. 10.1016/j.jtice.2021.03.02910.1016/j.jtice.2021.03.029 ↗
49. 10.1039/d0ay02184a10.1039/d0ay02184a ↗