DataVXACS NanoPaper
journal article·2025-08-05

Multiplexed Ultrafast Photothermal Digital Polymerase Chain Reaction Based on Oligo(Phenylene-Ethynylene)

Gyeong-Ji Kim, Kyung Ho Kim, Byoungjin Lee, Munjung Han, Seunghee Rho, Seok Young Hong, Hyung Kyo Kim, Seon Joo Park, Wan Soo Yun, Yoo Min Park, Kyoung G. Lee, Kyong-Cheol Ko, Oh Seok Kwon

ACS Nano· Volume 19· Issue 30
Publisher page
Source abstract

Abstract

Periodontal disease results from an imbalance between bacterial complexes and the immune system. However, periodontal disease diagnosis is limited by its time-consuming nature, long processing time, and high costs. In this study, we suggest an ultrafast, highly sensitive, and multitargeted plasmonic photothermal-based digital polymerase chain reaction (dPCR) method using a novel plasmonic photothermal-based dPCR chip combined with photothermal materials and organic interfacial chemicals for periodontal disease diagnosis. This platform can detect biofilm-forming bacteria ( Streptococcus mutans ), red complex bacteria ( Porphyromonas gingivalis ), and orange complex bacteria ( Campylobacter rectus and Prevotella nigrescens ). The ultrafast plasmonic photothermal-based dPCR technique amplified multiple target genes over 45 cycles within 14 min, and a fluorescence scanning system measured the fluorescence intensity within 9 min. The sensitivity of detection of standard bacteria and artificial saliva containing bacteria showed a sensitivity of 10 1 copies/μL. Furthermore, multiplex PCR was performed with a plasmonic photothermal-based dPCR device to confirm the possibility of multiplex PCR of bacterial mixtures containing four species. This plasmonic photothermal-based dPCR platform can be utilized as a point-of-care molecular diagnostic device for the ultrafast diagnosis of diseases in real-time in various fields.
Source: openalex_inverted_index · Quality: baseline

Research context

Polymers

OpenAlex topics: Biosensors and Analytical Detection · Oral microbiology and periodontitis research · Advanced biosensing and bioanalysis techniques

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

Affiliations

SKKU Advanced Institute of Nanotechnology (SAINT), Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do 16419, Republic of Korea

Denomics Co., Ltd., Laboratory of life science, 5, Digital-ro 26-gil, Guro-gu, Seoul 08389, Republic of Korea

ALLIX Co., Ltd, 69 Ballyong-ro, Deokjin-gu, Jeonju-city, Jeollabuk-do 54853, Republic of Korea

Department of Biomaterials Research Center, GENPEAU Corporation

Department of Chemistry, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do 16419, Republic of Korea

Center for NanoBio Development, National NanoFab Center (NNFC), 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

Korea Preclinical Evaluation Center (KPEC), Korea Research Institute of Bioscience and Biotechnology (KRIBB), 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

Department of Nano Science and Technology, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do 16419, Republic of Korea

Department of Nano Engineering, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon-si, Gyeonggi-do 16419, Republic of Korea

Funding

Ministry of Food and Drug Safety · National Research Council of Science and Technology · National Research Foundation of Korea · Ministry of SMEs and Startups · National NanoFab Center · the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT)

References (62)

Show source-provided references
1. 10.1111/prd.1216910.1111/prd.12169 ↗
2. 10.5051/jpis.2018.48.4.26110.5051/jpis.2018.48.4.261 ↗
3. 10.1177/002203451245358910.1177/0022034512453589 ↗
4. 10.1111/j.1600-0757.2012.00450.x10.1111/j.1600-0757.2012.00450.x ↗
5. 10.1128/JCM.43.11.5721-5732.200510.1128/JCM.43.11.5721-5732.2005 ↗
6. 10.1034/j.1600-0757.2002.280102.x10.1034/j.1600-0757.2002.280102.x ↗
7. 10.1111/j.1600-0757.1994.tb00020.x10.1111/j.1600-0757.1994.tb00020.x ↗
8. 10.1016/0928-8244(93)90093-J10.1016/0928-8244(93)90093-J ↗
9. 10.1128/jcm.34.8.2017-2019.199610.1128/jcm.34.8.2017-2019.1996 ↗
10. 10.1034/j.1399-302x.2000.150206.x10.1034/j.1399-302x.2000.150206.x ↗
11. 10.1016/j.mimet.2004.06.00610.1016/j.mimet.2004.06.006 ↗
12. 10.1038/sj.bdj.2016.90510.1038/sj.bdj.2016.905 ↗
13. 10.1016/j.femsim.2005.03.01110.1016/j.femsim.2005.03.011 ↗
14. 10.1038/s41598-021-85305-310.1038/s41598-021-85305-3 ↗
15. 10.1016/j.bios.2022.11434410.1016/j.bios.2022.114344 ↗
16. bMaekawa, A.; Saito, H.; Uriu, D.; Kasahara, S.; Inami, M. Machine-mediated teaming: Mixture of human and machine in physical gaming experience. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022, pp 1–11.10.1145/3491102.3517555 ↗
17. 10.1038/s41551-021-00713-010.1038/s41551-021-00713-0 ↗
18. 10.1016/j.bios.2023.11585910.1016/j.bios.2023.115859 ↗
19. 10.1002/adfm.20230372810.1002/adfm.202303728 ↗
20. 10.5757/ASCT.2023.32.6.13410.5757/ASCT.2023.32.6.134 ↗
21. 10.5757/ASCT.2024.33.5.11710.5757/ASCT.2024.33.5.117 ↗
22. 10.1038/s41598-021-02535-110.1038/s41598-021-02535-1 ↗
23. 10.1002/smll.20230456710.1002/smll.202304567 ↗
24. 10.1002/adma.20230122710.1002/adma.202301227 ↗
25. 10.1063/5.020334810.1063/5.0203348 ↗
26. 10.1016/j.jiec.2020.10.03610.1016/j.jiec.2020.10.036 ↗
27. 10.1016/j.enconman.2015.02.02810.1016/j.enconman.2015.02.028 ↗
28. 10.1021/acs.jpcc.4c0117010.1021/acs.jpcc.4c01170 ↗
29. 10.1016/j.cej.2023.14417410.1016/j.cej.2023.144174 ↗
30. 10.1021/acs.analchem.2c0427310.1021/acs.analchem.2c04273 ↗
31. 10.1021/la035172z10.1021/la035172z ↗
32. 10.1002/ange.20191165210.1002/ange.201911652 ↗
33. 10.1039/C7CS00023E10.1039/C7CS00023E ↗
34. 10.1021/ja00351a06310.1021/ja00351a063 ↗
35. 10.1016/j.bios.2021.11390810.1016/j.bios.2021.113908 ↗
36. 10.1039/d0nr03422c10.1039/d0nr03422c ↗
37. 10.1016/j.bios.2020.11251410.1016/j.bios.2020.112514 ↗
38. 10.1063/5.021070310.1063/5.0210703 ↗
39. 10.1021/jp309866d10.1021/jp309866d ↗
40. 10.1038/s41467-020-16380-910.1038/s41467-020-16380-9 ↗
41. Roberts D. D. · Adv. Synth. Catal. · 2022 · 364 · 230710.1002/adsc.202200237 ↗
42. 10.1007/s00604005001910.1007/s006040050019 ↗
43. 10.1002/ange.20220972610.1002/ange.202209726 ↗
44. 10.1016/j.vacuum.2024.11361410.1016/j.vacuum.2024.113614 ↗
45. 10.1016/j.trac.2020.11598410.1016/j.trac.2020.115984 ↗
46. 10.1002/adma.20240389610.1002/adma.202403896 ↗
47. 10.1038/s44222-023-00024-w10.1038/s44222-023-00024-w ↗
48. Guglielmi G. · 202010.1038/d41586-020-02140-8 ↗
49. 10.1021/acs.nanolett.4c0541710.1021/acs.nanolett.4c05417 ↗
50. 10.1039/D3LC00274H10.1039/D3LC00274H ↗
51. 10.1016/j.bios.2021.11367210.1016/j.bios.2021.113672 ↗
52. 10.1016/j.biosx.2023.10034610.1016/j.biosx.2023.100346 ↗
53. 10.1002/adma.20247022610.1002/adma.202470226 ↗
54. 10.1021/acs.nanolett.3c0461510.1021/acs.nanolett.3c04615 ↗
55. 10.1016/j.snb.2021.13067810.1016/j.snb.2021.130678 ↗
56. 10.1021/acs.analchem.5b0205710.1021/acs.analchem.5b02057 ↗
57. 10.1038/srep1317410.1038/srep13174 ↗
58. 10.1002/advs.20220651810.1002/advs.202206518 ↗
59. 10.1371/journal.pone.014316410.1371/journal.pone.0143164 ↗
60. 10.1016/j.ab.2005.06.02610.1016/j.ab.2005.06.026 ↗
61. 10.1002/advs.20230608810.1002/advs.202306088 ↗
62. 10.1016/j.talanta.2019.12068010.1016/j.talanta.2019.120680 ↗