journal article·2025-11

Controlling Cross‐Pollination of Biosensing Probes in Nanoscale Multiplexed Arrays

Hashem Hassan Nasralla, Alexander James Wright, Rahul Deshmukh, Davood Shahrjerdi, Elisa Riedo

Small Methods· Volume 9· Issue 11
Publisher page

Abstract

Abstract Multi‐target biosensing platforms require immobilization of sensing probes on surfaces with nanoscale precision. A critical challenge is preventing unwanted molecular transfer (cross‐pollination) between different probe patterns, which compromises measurement accuracy. This study investigates cross‐pollination in multiplexed biosensing arrays fabricated using thermal scanning probe lithography (tSPL), a method that offers sub‐10 nm spatial resolution. By systematically optimizing both the tSPL patterning parameters and chemical functionalization protocols, particularly biomolecule incubation times, this work demonstrates the ability to reduce cross‐pollination to undetectable levels (0%). These experimental results establish a clear relationship between processing conditions and cross‐contamination rates, providing a practical framework for reliable nanoscale patterning of multiple biomolecular probes on a single surface. These findings enable the development of high‐fidelity, multi‐target biosensing platforms with enhanced specificity, and therefore sensitivity, for applications in medical diagnostics, environmental monitoring, and biological research.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanofabrication and Lithography Techniques · Force Microscopy Techniques and Applications · Molecular Junctions and Nanostructures

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

Affiliations

Department of Chemical and Biomolecular Engineering Tandon School of Engineering New York University Brooklyn NY 11201 USA

Department of Electrical and Computer Engineering Tandon School of Engineering New York University Brooklyn NY 11201 USA

Funding

Advanced Research Projects Agency for Health

References (67)

Show source-provided references
1. 10.1016/j.bios.2018.05.01810.1016/j.bios.2018.05.018 ↗
2. 10.3390/bios1207054810.3390/bios12070548 ↗
3. 10.1002/anie.20050098910.1002/anie.200500989 ↗
4. 10.1002/admi.20210252610.1002/admi.202102526 ↗
5. 10.1021/acsnano.0c0282310.1021/acsnano.0c02823 ↗
6. 10.1002/adfm.20231366410.1002/adfm.202313664 ↗
7. 10.3390/mi1102022010.3390/mi11020220 ↗
8. 10.1021/am900048t10.1021/am900048t ↗
9. 10.1098/rsif.2015.025410.1098/rsif.2015.0254 ↗
10. 10.1088/1468-6996/11/1/01410110.1088/1468-6996/11/1/014101 ↗
11. 10.1002/advs.20240050010.1002/advs.202400500 ↗
12. 10.1038/srep3571710.1038/srep35717 ↗
13. 10.1021/acs.analchem.9b0378010.1021/acs.analchem.9b03780 ↗
14. 10.1002/adma.20080122210.1002/adma.200801222 ↗
15. 10.1073/pnas.07268529910.1073/pnas.072685299 ↗
16. 10.1002/bit.2032410.1002/bit.20324 ↗
17. 10.1021/la103489g10.1021/la103489g ↗
18. 10.1016/j.bios.2020.11236310.1016/j.bios.2020.112363 ↗
19. 10.1039/c0nr00142b10.1039/c0nr00142b ↗
20. 10.1039/D1SD00036E10.1039/D1SD00036E ↗
21. 10.1557/jmr.2012.28310.1557/jmr.2012.283 ↗
22. 10.1039/D0AN01661F10.1039/D0AN01661F ↗
23. 10.1021/acsnano.3c0770710.1021/acsnano.3c07707 ↗
24. 10.1021/acs.chemrev.9b0072510.1021/acs.chemrev.9b00725 ↗
25. 10.1002/smll.20120318310.1002/smll.201203183 ↗
26. 10.1002/anie.20030060810.1002/anie.200300608 ↗
27. 10.1126/science.106717210.1126/science.1067172 ↗
28. 10.1002/anie.20035125610.1002/anie.200351256 ↗
29. 10.1126/science.283.5402.66110.1126/science.283.5402.661 ↗
30. 10.1021/nn900594510.1021/nn9005945 ↗
31. 10.1021/acs.nanolett.7b0123610.1021/acs.nanolett.7b01236 ↗
32. 10.1002/smll.20190056410.1002/smll.201900564 ↗
33. 10.1021/nn800541610.1021/nn8005416 ↗
34. 10.1016/j.mee.2008.11.08810.1016/j.mee.2008.11.088 ↗
35. 10.3390/microarrays504002510.3390/microarrays5040025 ↗
36. 10.1021/la010695x10.1021/la010695x ↗
37. 10.1016/j.cbpa.2013.10.02210.1016/j.cbpa.2013.10.022 ↗
38. 10.1016/S0142-9612(99)00165-910.1016/S0142-9612(99)00165-9 ↗
39. 10.1038/srep1040210.1038/srep10402 ↗
40. 10.1039/D4NA00757C10.1039/D4NA00757C ↗
41. 10.1039/D5SM00355E10.1039/D5SM00355E ↗
42. 10.1038/s43586-022-00110-010.1038/s43586-022-00110-0 ↗
43. 10.1021/acsami.9b1184410.1021/acsami.9b11844 ↗
44. 10.1002/adfm.20200866210.1002/adfm.202008662 ↗
45. 10.1038/s41378-019-0124-810.1038/s41378-019-0124-8 ↗
46. 10.1063/5.002615910.1063/5.0026159 ↗
47. 10.1002/adfm.20090105710.1002/adfm.200901057 ↗
48. 10.1088/1361-6528/aae3df10.1088/1361-6528/aae3df ↗
49. 10.1038/s41928-018-0191-010.1038/s41928-018-0191-0 ↗
50. 10.1039/C9FD00025A10.1039/C9FD00025A ↗
51. 10.1039/D4NR02535K10.1039/D4NR02535K ↗
52. 10.1016/j.tibtech.2022.07.01210.1016/j.tibtech.2022.07.012 ↗
53. 10.1126/science.aao675010.1126/science.aao6750 ↗
54. 10.1073/pnas.162501011410.1073/pnas.1625010114 ↗
55. 10.1002/adhm.20220150310.1002/adhm.202201503 ↗
56. 10.1002/anie.20210022510.1002/anie.202100225 ↗
57. 10.1016/j.bbrc.2013.11.04110.1016/j.bbrc.2013.11.041 ↗
58. 10.1038/nmeth.208910.1038/nmeth.2089 ↗
59. 10.1042/bj101077410.1042/bj1010774 ↗
60. 10.1021/acsami.1c1644610.1021/acsami.1c16446 ↗
61. 10.1042/bj089058510.1042/bj0890585 ↗
62. 10.3390/s2214518510.3390/s22145185 ↗
63. 10.3390/s2409280510.3390/s24092805 ↗
64. 10.1016/j.apsusc.2012.02.13710.1016/j.apsusc.2012.02.137 ↗
65. 10.1016/B978-0-12-819467-6.00011-110.1016/B978-0-12-819467-6.00011-1 ↗
66. 10.1088/0957-4484/27/31/31530210.1088/0957-4484/27/31/315302 ↗
67. 10.1021/nl070300f10.1021/nl070300f ↗