Exploring DNA Functionalization Techniques for Silver Nanoparticles
Source abstract
Abstract
Abstract Metal nanoparticle‐based spherical nucleic acids (SNAs) have been widely used in various fields, such as imaging and biosensing. However, functionalizing nanoparticles with specific properties, such as high DNA density or the attachment of long oligonucleotides, can be challenging. Choosing the ideal strategy is essential, as each functionalization method yields distinct results and has its limitations. In this study, four functionalization techniques — salt‐aging, pH‐assisted, freezing‐directed, and microwave (MW)‐assisted methods are investigated — for modifying silver nanoparticles (AgNPs), focusing on thymine‐strands (T‐strands) of varying lengths. The resulting DNA‐AgNP conjugates are characterized using UV/Vis spectroscopy and dynamic light scattering (DLS), and colloidal stability and DNA loading are assessed. The reagent‐free freezing‐directed and MW‐assisted methods follow a straightforward implementation. Generally, they result in higher DNA loading than salt‐aging and pH‐assisted methods, particularly when functionalizing with longer strands. However, these methods require higher DNA excess for shorter strand lengths and thus cannot be used to synthesize conjugates with low DNA densities. The different properties of each functionalization method can be exploited to construct various AgNP‐based SNAs with distinct specifications. The findings provide a methodological user guide to facilitate the selection of the most suitable functionalization strategy, thereby extending their utility in various nanobiotechnological applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced biosensing and bioanalysis techniques · Gold and Silver Nanoparticles Synthesis and Applications · Nanocluster Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Munich Institute of Biomedical Engineering Department of Electrical Engineering School of Computation Information and Technology Technical University of Munich 85748 Garching Germany
Department of Bioscience TUM School of Natural Sciences Technical University of Munich 85748 Garching Germany
Funding
Deutsche Forschungsgemeinschaft
References (61)
Show source-provided references
1. 10.1038/382607a010.1038/382607a0 ↗
2. 10.1021/ja034775u10.1021/ja034775u ↗
3. 10.1126/science.112555910.1126/science.1125559 ↗
4. 10.1039/b712170a10.1039/b712170a ↗
5. 10.1021/ja808719p10.1021/ja808719p ↗
6. 10.1021/nn900381410.1021/nn9003814 ↗
7. 10.1021/nn800632j10.1021/nn800632j ↗
8. 10.1021/nn201446c10.1021/nn201446c ↗
9. 10.1021/ja209351u10.1021/ja209351u ↗
10. 10.1021/acsnano.0c0002210.1021/acsnano.0c00022 ↗
11. 10.1021/acs.analchem.1c0002710.1021/acs.analchem.1c00027 ↗
12. 10.1021/acssensors.1c0068610.1021/acssensors.1c00686 ↗
13. 10.3390/molecules2811448010.3390/molecules28114480 ↗
14. 10.1002/smll.20231002610.1002/smll.202310026 ↗
15. 10.1021/ja301405510.1021/ja3014055 ↗
16. 10.1039/c2cc35008d10.1039/c2cc35008d ↗
17. 10.1039/C7AY00368D10.1039/C7AY00368D ↗
18. 10.1021/jacs.7b0488510.1021/jacs.7b04885 ↗
19. 10.1021/acs.langmuir.9b0074610.1021/acs.langmuir.9b00746 ↗
20. 10.1021/jacs.0c0021710.1021/jacs.0c00217 ↗
21. 10.1038/s41467-022-28627-810.1038/s41467-022-28627-8 ↗
22. 10.1021/acs.analchem.5b0101110.1021/acs.analchem.5b01011 ↗
23. 10.3389/fmicb.2018.0285710.3389/fmicb.2018.02857 ↗
24. 10.1021/acsanm.9b0149310.1021/acsanm.9b01493 ↗
25. 10.1039/D2RA06074D10.1039/D2RA06074D ↗
26. 10.1039/c3an00843f10.1039/c3an00843f ↗
27. 10.1021/acssensors.1c0036110.1021/acssensors.1c00361 ↗
28. 10.1021/acssensors.2c0072810.1021/acssensors.2c00728 ↗
29. 10.1002/admt.20220188010.1002/admt.202201880 ↗
30. 10.1021/acs.analchem.2c0519310.1021/acs.analchem.2c05193 ↗
31. 10.1021/acssensors.3c0018110.1021/acssensors.3c00181 ↗
32. 10.1021/acssensors.3c0170310.1021/acssensors.3c01703 ↗
33. 10.1016/j.cej.2024.15253110.1016/j.cej.2024.152531 ↗
34. 10.1021/acssensors.4c0206010.1021/acssensors.4c02060 ↗
35. 10.1186/s12951-021-01021-010.1186/s12951-021-01021-0 ↗
36. 10.1002/smll.20241030610.1002/smll.202410306 ↗
37. 10.1021/jacs.1c0056810.1021/jacs.1c00568 ↗
38. 10.1002/smll.20220245810.1002/smll.202202458 ↗
39. 10.1021/jp047021q10.1021/jp047021q ↗
40. 10.1021/ja056769z10.1021/ja056769z ↗
41. 10.1021/ac702403w10.1021/ac702403w ↗
42. 10.1039/C9RA09261G10.1039/C9RA09261G ↗
43. 10.1016/j.physa.2012.09.02210.1016/j.physa.2012.09.022 ↗
44. 10.1016/j.jcis.2008.02.01510.1016/j.jcis.2008.02.015 ↗
45. 10.1039/D2NA00377E10.1039/D2NA00377E ↗
46. 10.1021/nl025888z10.1021/nl025888z ↗
47. 10.1021/la205036p10.1021/la205036p ↗
48. 10.1021/nl071108g10.1021/nl071108g ↗
49. 10.1021/acsnano.2c1167410.1021/acsnano.2c11674 ↗
50. 10.1021/ac901459v10.1021/ac901459v ↗
51. 10.1039/C6EN00564K10.1039/C6EN00564K ↗
52. 10.1021/acs.jpcc.5b0363410.1021/acs.jpcc.5b03634 ↗
53. 10.1016/j.chemosphere.2018.10.12210.1016/j.chemosphere.2018.10.122 ↗
54. 10.1186/1477-3155-8-2110.1186/1477-3155-8-21 ↗
55. 10.1021/la203632c10.1021/la203632c ↗
56. 10.1021/acs.langmuir.5b0168010.1021/acs.langmuir.5b01680 ↗
57. 10.1039/C9AY02150G10.1039/C9AY02150G ↗
58. 10.1021/acs.langmuir.2c0004310.1021/acs.langmuir.2c00043 ↗
59. 10.3390/nano1202029210.3390/nano12020292 ↗
60. 10.1155/2013/31308110.1155/2013/313081 ↗
61. 10.1021/jp403946x10.1021/jp403946x ↗