journal article·2024-03-06Open access

Enhanced “Electronic Tongue” for Dental Bacterial Discrimination and Elimination Based on a DNA-Encoded Nanozyme Sensor Array

Ling Zhang, Zhengnan Qi, Yichi Yang, Na Lu, Zisheng Tang

Abstract

Bacterial infections are the second leading cause of death around the world, especially those caused by delayed treatment and misdiagnosis. Therefore, rapid discrimination and effective elimination of multiple bacteria are of great importance for improving the survival rate in clinic. Herein, a novel colorimetric sensor array for bacterial discrimination and elimination is constructed using programmable DNA-encoded iron oxide nanoparticles (IONPs) as sensing elements. Utilizing differential interactions of bacteria on DNA-encoded IONPs, 11 kinds of dental bacteria and 6 kinds of proteins have been successfully identified by linear discriminant analysis (LDA). Moreover, the developed sensing system also performs well in the quantitative determination of individual bacteria and identification of bacterial mixtures. More importantly, the practicability of this sensing strategy is further verified by precise differentiation of blind and artificial saliva samples. Furthermore, the sensor array is used for efficiently killing multiple bacteria, demonstrating great potential in clinical prophylaxis and therapy.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Biosensors and Analytical Detection · Advanced biosensing and bioanalysis techniques · Advanced Nanomaterials in Catalysis

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

Affiliations

Department of Endodontics, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, College of Stomatology

Shanghai Jiao Tong University, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology

Department of Oral Medicine, Shanghai Stomatological Hospital

Fudan University

Oral Biomedical Engineering Laboratory, Shanghai Stomatological Hospital

Department of Biostatistics, Graduate School of Medicine

Hokkaido University

Department of Social Medicine, Graduate School of Medicine

Hirosaki University

School of Materials Science and Engineering

Shanghai University of Engineering Science

Department of Stomatology, Xinhua Hospital

Shanghai Jiao Tong University School of Medicine

Funding

Ministry of Science and Technology of the People's Republic of China · Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China

References (50)

Show source-provided references
1. 10.1016/S0140-6736(22)02185-710.1016/S0140-6736(22)02185-7 ↗
2. 10.1038/s41579-018-0089-x10.1038/s41579-018-0089-x ↗
3. 10.1038/s41368-022-00163-710.1038/s41368-022-00163-7 ↗
4. 10.1016/j.bios.2006.06.03610.1016/j.bios.2006.06.036 ↗
5. 10.1093/jac/dkw13910.1093/jac/dkw139 ↗
6. 10.1111/jam.1428510.1111/jam.14285 ↗
7. 10.1016/j.saa.2020.11887510.1016/j.saa.2020.118875 ↗
8. 10.1016/j.bios.2016.10.02310.1016/j.bios.2016.10.023 ↗
9. 10.1021/acs.analchem.1c0126110.1021/acs.analchem.1c01261 ↗
10. 10.1111/1541-4337.1305510.1111/1541-4337.13055 ↗
11. 10.1016/j.bios.2021.11332710.1016/j.bios.2021.113327 ↗
12. 10.1186/1479-5876-3-2710.1186/1479-5876-3-27 ↗
13. 10.1021/acsami.1c2503610.1021/acsami.1c25036 ↗
14. 10.1002/smll.20200623010.1002/smll.202006230 ↗
15. 10.1021/acssensors.1c0137110.1021/acssensors.1c01371 ↗
16. 10.1016/j.bios.2022.11443810.1016/j.bios.2022.114438 ↗
17. 10.1021/acs.analchem.9b0113910.1021/acs.analchem.9b01139 ↗
18. 10.1038/nnano.2007.9910.1038/nnano.2007.99 ↗
19. 10.1038/nchem.33410.1038/nchem.334 ↗
20. 10.1021/acsnano.2c0296610.1021/acsnano.2c02966 ↗
21. 10.1016/j.cis.2020.10217810.1016/j.cis.2020.102178 ↗
22. 10.1126/sciadv.aav965310.1126/sciadv.aav9653 ↗
23. 10.1016/j.bios.2019.11188110.1016/j.bios.2019.111881 ↗
24. 10.1039/C7NR00819H10.1039/C7NR00819H ↗
25. 10.1016/j.nantod.2018.06.00610.1016/j.nantod.2018.06.006 ↗
26. 10.1021/acs.accounts.1c0059810.1021/acs.accounts.1c00598 ↗
27. 10.1016/j.bios.2019.11191910.1016/j.bios.2019.111919 ↗
28. 10.1039/C8CS00445E10.1039/C8CS00445E ↗
29. 10.1038/s41565-021-01051-710.1038/s41565-021-01051-7 ↗
30. 10.1021/jacs.6b1182110.1021/jacs.6b11821 ↗
31. 10.1002/adma.20170763410.1002/adma.201707634 ↗
32. 10.1002/smll.20190684610.1002/smll.201906846 ↗
33. 10.1007/s40820-022-00828-210.1007/s40820-022-00828-2 ↗
34. 10.2147/IJN.S38279610.2147/IJN.S382796 ↗
35. 10.1021/acsnano.0c0797310.1021/acsnano.0c07973 ↗
36. 10.1007/s40820-021-00717-010.1007/s40820-021-00717-0 ↗
37. 10.1016/j.bios.2022.11466210.1016/j.bios.2022.114662 ↗
38. 10.1002/smll.20210740110.1002/smll.202107401 ↗
39. 10.1021/acsnano.1c0698310.1021/acsnano.1c06983 ↗
40. 10.1038/s41467-021-20965-310.1038/s41467-021-20965-3 ↗
41. 10.1002/anie.20210771210.1002/anie.202107712 ↗
42. 10.1021/acsami.8b1607510.1021/acsami.8b16075 ↗
43. 10.1021/jacs.1c1311610.1021/jacs.1c13116 ↗
44. 10.1021/acscatal.7b0176610.1021/acscatal.7b01766 ↗
45. 10.1039/C5NR04176G10.1039/C5NR04176G ↗
46. 10.1021/ja305814u10.1021/ja305814u ↗
47. 10.1021/acsami.9b1071810.1021/acsami.9b10718 ↗
48. 10.1021/acs.nanolett.0c0488710.1021/acs.nanolett.0c04887 ↗
49. 10.1021/acssensors.9b0100910.1021/acssensors.9b01009 ↗
50. 10.1021/acs.analchem.6b0487810.1021/acs.analchem.6b04878 ↗