journal article·2024-12-11Open access

Matrix-Insensitive Sensor Arrays via Peptide-Coated Nanoparticles: Rapid Saliva Screening for Pathogens in Oral and Respiratory Diseases

Benjamin Lam, Lubna Amer, Elizabeth Thompson, Alex E. Clark, Aaron F. Garretson, Aaron F. Carlin, Casey Chen, Maurice Retout, Jesse V. Jokerst

ACS Applied Materials & Interfaces· Volume 16· Issue 49

Abstract

Plasmonic nanoparticle-based biosensors often report a colorimetric signal through the aggregation or clustering of the nanoparticles (NPs), but these mechanisms typically struggle to function in complex biofluids. Here, we report a matrix-insensitive sensor array approach to detect bacteria, fungi, and viruses whose signal is based on the dissociation of the peptide-aggregated NPs by thiolated polyethylene glycol (HS-PEG) polymers. We show that the HS-PEGs of differing sizes have varying capabilities to dissociate citrate-capped gold nanoparticle (AuNP) and silver nanoparticle (AgNP) assemblies. The dissociative abilities of the HS-PEGs were used in this sensor array to discriminate at the 90% confidence level the microorganisms Porphyromonas gingivalis, Fusobacterium nucleatum, and Candida albicans in water and saliva using linear discriminant analysis (LDA). We further demonstrate the versatility of the sensor array by detecting various subtypes of the viruses SARS-CoV-2 (beta, delta, and omicron) and influenza (H3N2) spiked in saliva samples using LDA. In the final demonstration, the sensor array design stratified healthy saliva samples from patient samples diagnosed with periodontitis as well as COVID-19.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Biosensors and Analytical Detection · Advanced Biosensing Techniques and Applications

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

Affiliations

Aiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California, San Diego, La Jolla, California 92093, United States

Materials Science and Engineering Program, University of California, San Diego, La Jolla, California 92093, United States

Department of Chemistry, Truman State University, Kirksville, Missouri 63501, United States

Department of Medicine, University of California, San Diego, La Jolla, California 92093, United States

Department of Pathology, University of California, San Diego, La Jolla, California 92093, United States

Herman Ostrow School of Dentistry, University of Southern California, 925 West 34th Street, Los Angeles, California 90089, United States

Department of Radiology, University of California, San Diego, La Jolla, California 92093, United States

Funding

NIH Office of the Director · National Institute of Dental and Craniofacial Research · National Institute of Allergy and Infectious Diseases · Shiley Foundation · National Institute on Aging · Burroughs Wellcome Fund · National Institutes of Health · Division of Materials Research

References (59)

Show source-provided references
1. 10.1016/j.mset.2019.10.00210.1016/j.mset.2019.10.002 ↗
2. 10.1021/acsnano.1c0331010.1021/acsnano.1c03310 ↗
3. 10.1016/j.tibtech.2022.12.00510.1016/j.tibtech.2022.12.005 ↗
4. 10.3390/chemosensors911030510.3390/chemosensors9110305 ↗
5. 10.1021/acsami.2c1753110.1021/acsami.2c17531 ↗
6. 10.1021/acsami.8b1784610.1021/acsami.8b17846 ↗
7. 10.1039/c2an35054h10.1039/c2an35054h ↗
8. 10.1021/nl010011610.1021/nl0100116 ↗
9. 10.1002/anie.20211299510.1002/anie.202112995 ↗
10. 10.1016/j.snb.2016.12.05210.1016/j.snb.2016.12.052 ↗
11. 10.1016/j.saa.2018.11.01310.1016/j.saa.2018.11.013 ↗
12. 10.1021/acssensors.0c0065410.1021/acssensors.0c00654 ↗
13. 10.1039/C7NR03311G10.1039/C7NR03311G ↗
14. 10.1021/acssensors.4c0025210.1021/acssensors.4c00252 ↗
15. 10.1002/smll.20230647410.1002/smll.202306474 ↗
16. 10.1002/wnan.175410.1002/wnan.1754 ↗
17. 10.1039/C3MH00106G10.1039/C3MH00106G ↗
18. 10.3389/fbioe.2020.0016610.3389/fbioe.2020.00166 ↗
19. 10.1021/acsnano.3c0526810.1021/acsnano.3c05268 ↗
20. 10.1021/acsanm.4c0065410.1021/acsanm.4c00654 ↗
21. 10.7150/thno.9116510.7150/thno.91165 ↗
22. 10.1039/D2RA00493C10.1039/D2RA00493C ↗
23. 10.1021/ma800458610.1021/ma8004586 ↗
24. 10.3390/foods1203063810.3390/foods12030638 ↗
25. 10.1039/C4EN00211C10.1039/C4EN00211C ↗
26. 10.18517/ijaseit.8.4-2.705510.18517/ijaseit.8.4-2.7055 ↗
27. 10.1021/acs.jchemed.4c0032910.1021/acs.jchemed.4c00329 ↗
28. 10.2147/IJN.S30413810.2147/IJN.S304138 ↗
29. 10.1021/acs.jchemed.4c0008910.1021/acs.jchemed.4c00089 ↗
30. 10.1038/ncomms1155910.1038/ncomms11559 ↗
31. 10.1073/pnas.142055111110.1073/pnas.1420551111 ↗
32. 10.1177/109158181986313010.1177/1091581819863130 ↗
33. 10.1021/acsami.3c1396710.1021/acsami.3c13967 ↗
34. 10.1021/jp111920y10.1021/jp111920y ↗
35. 10.1039/b212437h10.1039/b212437h ↗
36. 10.2217/nnm.11.1910.2217/nnm.11.19 ↗
37. 10.1039/D4CS00328D10.1039/D4CS00328D ↗
38. 10.1007/s40588-018-0100-310.1007/s40588-018-0100-3 ↗
39. 10.1186/s12866-017-0950-510.1186/s12866-017-0950-5 ↗
40. 10.3402/jom.v7.2912910.3402/jom.v7.29129 ↗
41. 10.3390/jof604034910.3390/jof6040349 ↗
42. 10.3390/s2323939110.3390/s23239391 ↗
43. 10.1177/002203451769172010.1177/0022034517691720 ↗
44. 10.1177/251524591984937810.1177/2515245919849378 ↗
45. 10.1080/02664763.2020.178056910.1080/02664763.2020.1780569 ↗
46. Bakker J. D. · 2024
47. 10.1055/s-0042-174767510.1055/s-0042-1747675 ↗
48. 10.1016/j.lanwpc.2022.10053310.1016/j.lanwpc.2022.100533 ↗
49. 10.1177/1176934323118225810.1177/11769343231182258 ↗
50. 10.1038/s41392-022-00903-510.1038/s41392-022-00903-5 ↗
51. 10.3390/nano1106151610.3390/nano11061516 ↗
52. 10.1021/acs.jpca.6b0504010.1021/acs.jpca.6b05040 ↗
53. 10.1016/j.chemosphere.2018.10.12210.1016/j.chemosphere.2018.10.122 ↗
54. 10.1016/j.jcis.2015.12.05110.1016/j.jcis.2015.12.051 ↗
55. 10.3390/pharmaceutics1405097210.3390/pharmaceutics14050972 ↗
56. 10.4103/0972-124X.11831710.4103/0972-124X.118317 ↗
57. 10.7759/cureus.4743710.7759/cureus.47437 ↗
58. 10.1016/j.mpaic.2009.08.00510.1016/j.mpaic.2009.08.005 ↗
59. 10.1021/bm034069l10.1021/bm034069l ↗