journal article·2021-02-26Open access

Isolation and Detection of Exosomes Using Fe2O3 Nanoparticles

Fatema Zerin Farhana, Muhammad Umer, Ayad Saeed, Amandeep Singh Pannu, Mahboobeh Shahbazi, Aiden Jabur, Hyun Jae Nam, Kostya Ostrikov, Prashant Sonar, Shakhawat H. Firoz, Muhammad J. A. Shiddiky

ACS Applied Nano Materials· Volume 4· Issue 2

Abstract

Magnetic nanozymes with peroxidase-mimicking activity have been widely investigated for developing molecular biosensors. Herein, we report a starch-assisted method for the synthesis of a novel class of carboxyl group-functionalized iron oxide nanoparticles (C-IONPs). Scanning electron and transmission electron microscopy analysis revealed that the nanoparticles possess a spherical shape with an average size of ∼250 nm. Peroxidase-mimicking activity of C-IONPs was investigated through catalytic oxidation of 3,3′,5,5′-tetramethylbenzidine (TMB) in the presence of H2O2. The results showed that nanoparticles follow typical Michaelis–Menten kinetics and exhibit excellent affinity toward TMB and H2O2 with estimated KM and VMax values of 0.0992 mM and 0.156 × 10–8 Ms–1 for TMB and 114 mM and 0.197 × 10–8 Ms–1 for H2O2, respectively. C-IONPs were used to develop a simple method for the direct isolation and quantification of disease-specific exosomes. This method utilized a two-step strategy that involved (a) initial isolation of bulk exosomes present in the sample media using tetraspanin biomarker (i.e., CD9)-functionalized C-IONPs and (b) subsequent electrochemical quantification of disease-specific exosomes within the captured bulk exosomes using tumor-specific markers (in this case, the ovarian cancer biomarker CA-125). In the first step, C-IONPs were used as “dispersible nanocarriers” to capture the bulk population of exosomes, and in the second step, they were used as nanozymes to generate an enzyme-catalyzed current indicative of the presence of tumor-specific exosomes. Chronoamperometric analysis showed that the method exhibits an excellent specificity for OVCAR3 cell-derived exosomes (linear dynamic range, 6.25 × 105 to 1.0 × 107 exosomes/mL; detection limit, 1.25 × 106 exosomes/mL) with a relative standard deviation of <5.0% (n = 3). Due to their excellent enzyme catalytic activity, ability to magnetically separate the target from bulk samples, and versatile bioconjugation capability (because of the −COOH group), C-IONPs are a promising candidate for the development of advanced exosome biosensing assays for various clinical applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Nanomaterials in Catalysis · Extracellular vesicles in disease · Advanced biosensing and bioanalysis techniques

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

Affiliations

Department of Chemistry, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh

Queensland Micro- and Nanotechnology Centre (QMNC), Griffith University, Nathan, QLD 4111, Australia

Centre for Materials Science, Queensland University of Technology (QUT), Brisbane 4000, Australia

School of Chemistry and Physics, Queensland University of Technology (QUT), Brisbane 4000, Australia

School of Medicine, Griffith University, Gold Coast, QLD 4215, Australia

School of Environment and Science, Griffith University, Nathan, QLD 4111, Australia

Funding

Australian Research Council · Queensland University of Technology · Bangladesh University of Engineering and Technology · CASR

References (39)

Show source-provided references
1. 10.1039/c3cs35486e10.1039/c3cs35486e ↗
2. 10.1039/c8cs00457a10.1039/c8cs00457a ↗
3. 10.1038/nnano.2007.26010.1038/nnano.2007.260 ↗
4. 10.1021/acs.accounts.9b0014010.1021/acs.accounts.9b00140 ↗
5. 10.1007/s11671-008-9174-910.1007/s11671-008-9174-9 ↗
6. 10.1039/c8tb01132j10.1039/c8tb01132j ↗
7. 10.1039/c9tb00989b10.1039/c9tb00989b ↗
8. 10.1016/j.snb.2013.11.01010.1016/j.snb.2013.11.010 ↗
9. 10.1039/c0jm00174k10.1039/c0jm00174k ↗
10. 10.1021/acs.analchem.7b0288010.1021/acs.analchem.7b02880 ↗
11. 10.1016/j.molcata.2012.04.01110.1016/j.molcata.2012.04.011 ↗
12. 10.1016/j.colsurfa.2016.07.03710.1016/j.colsurfa.2016.07.037 ↗
13. 10.1016/j.trac.2015.03.01610.1016/j.trac.2015.03.016 ↗
14. 10.1039/c9cs00174c10.1039/c9cs00174c ↗
15. 10.1002/smll.20170215310.1002/smll.201702153 ↗
16. 10.1038/s41580-020-0251-y10.1038/s41580-020-0251-y ↗
17. 10.1021/acs.analchem.8b0361910.1021/acs.analchem.8b03619 ↗
18. 10.1021/ac502082b10.1021/ac502082b ↗
19. 10.1021/ja01318a03610.1021/ja01318a036 ↗
20. 10.1039/c3ta14697a10.1039/c3ta14697a ↗
21. 10.2217/nnm.12.17310.2217/nnm.12.173 ↗
22. 10.1016/0079-6786(88)90005-210.1016/0079-6786(88)90005-2 ↗
23. 10.1016/j.jece.2020.10373910.1016/j.jece.2020.103739 ↗
24. Hermanson G. T. · 2013 · 12710.1016/B978-0-12-382239-0.00002-9 ↗
25. 10.1002/anie.20141238910.1002/anie.201412389 ↗
26. 10.1021/acsami.5b0619510.1021/acsami.5b06195 ↗
27. 10.1021/cm200397g10.1021/cm200397g ↗
28. Seabra A. B. · 2017 · 53110.1016/B978-0-323-46152-8.00024-X ↗
29. 10.1002/anie.20110840010.1002/anie.201108400 ↗
30. 10.1021/acs.analchem.8b0330010.1021/acs.analchem.8b03300 ↗
31. 10.1021/ac071012710.1021/ac0710127 ↗
32. 10.1016/j.bios.2012.02.05710.1016/j.bios.2012.02.057 ↗
33. 10.1002/celc.20160039110.1002/celc.201600391 ↗
34. 10.1038/srep3046010.1038/srep30460 ↗
35. 10.1021/acs.analchem.6b0242110.1021/acs.analchem.6b02421 ↗
36. 10.1039/c5lc01117e10.1039/c5lc01117e ↗
37. 10.1002/jcp.2538710.1002/jcp.25387 ↗
38. 10.1021/acs.analchem.7b0486310.1021/acs.analchem.7b04863 ↗
39. 10.1021/acs.nanolett.9b0274110.1021/acs.nanolett.9b02741 ↗