journal article·2022-06Open access

Hemoglobin assisted carbon nanofiber preparation for selective detection of miRNA molecules

Karima Sahtani, Yakup Aykut, Nilay Aladag Tanik

Journal of Industrial Textiles· Volume 51· Issue 3_suppl

Abstract

A selective miRNA detection is an important factor for the early-stage diagnosis of the diseases and determination of an appropriate treatment method. In this regard, hemoglobin assisted carbon nanofibers (CNFs) were prepared via electrospinning of the precursor polyacrylonitrile/hemoglobin (PAN/Hb) hybrid nanofibers and the following heat treatment process. Addition of low ratio Hb in the precursor PAN nanofibers caused a catalytic effect on the reaction taken place during the stabilization process that helps the formation of more graphitic structure during the carbonization process. But, increasing Hb ratio in the PAN/Hb nanofibers caused an inhibiting effect on the related reactions. Guanine oxidation signals of miRNA molecules were determined via differential pulse voltammetry (DPV) measurement. In this regard, the attachment of anti-miRNA molecules on the CNFs immobilized screen-printed electrodes (SPEs) and a following hybridization of the attached anti-miRNA with miRNA molecules were carried out. Three different miRNA molecules including the target (miRNA), single-base mismatched (SM.miRNA), and non-complementary (NC.miRNA) were hybridized with the previously attached anti-miRNA molecules on the Hb-CNFs immobilized SPEs. The enhancement of the guanine oxidation signal level was observed by using Hb-CNFs instead of using CNFs. That could be attributed to the increase of the graphitic level with low Hb addition to the precursor PAN/Hb nanofibers that causes a catalytic effect on carbonization process. The prepared biosensory system could be used for the selective detection of miRNA molecules.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Conducting polymers and applications · RNA Interference and Gene Delivery

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

Affiliations

Graduate School of Natural and Applied Sciences, Textile Engineering, Bursa Uludag University, Nilufer, Bursa, 16059, Turkey

Department of Textile Engineering, Engineering Faculty Bursa Uludag University, Nilufer, Bursa, 16059, Turkey

Funding

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

References (63)

Show source-provided references
1. 10.1016/j.aca.2019.09.03710.1016/j.aca.2019.09.037 ↗
2. 10.1056/NEJMra01228410.1056/NEJMra012284 ↗
3. 10.1038/ejhg.2008.13610.1038/ejhg.2008.136 ↗
4. 10.1128/jcm.00310-2010.1128/jcm.00310-20 ↗
5. 10.1128/JCM.05631-1110.1128/JCM.05631-11 ↗
6. 10.1177/003693302094925310.1177/0036933020949253 ↗
7. 10.1038/s12276-020-0452-710.1038/s12276-020-0452-7 ↗
8. 10.1097/JCMA.000000000000039610.1097/JCMA.0000000000000396 ↗
9. 10.1039/c8cc10226k10.1039/c8cc10226k ↗
10. 10.1016/j.ab.2019.11334910.1016/j.ab.2019.113349 ↗
11. 10.1038/srep2108410.1038/srep21084 ↗
12. 10.3390/cells811146510.3390/cells8111465 ↗
13. 10.1016/j.apmt.2017.10.00510.1016/j.apmt.2017.10.005 ↗
14. 10.1186/s13148-018-0492-110.1186/s13148-018-0492-1 ↗
15. 10.1016/j.ygeno.2018.08.01110.1016/j.ygeno.2018.08.011 ↗
16. 10.3390/cancers1201005210.3390/cancers12010052 ↗
17. 10.1016/j.jelechem.2015.07.03110.1016/j.jelechem.2015.07.031 ↗
18. 10.1016/j.molstruc.2019.06.11110.1016/j.molstruc.2019.06.111 ↗
19. 10.1016/j.talanta.2019.12064110.1016/j.talanta.2019.120641 ↗
20. 10.1016/j.jelechem.2017.10.01210.1016/j.jelechem.2017.10.012 ↗
21. 10.1016/j.carbon.2020.03.04310.1016/j.carbon.2020.03.043 ↗
22. 10.1177/15589250060010020210.1177/155892500600100202 ↗
23. 10.1016/j.apsusc.2018.10.02310.1016/j.apsusc.2018.10.023 ↗
24. 10.1002/elan.20090059510.1002/elan.200900595 ↗
25. 10.1016/j.bios.2010.01.02410.1016/j.bios.2010.01.024 ↗
26. 10.1021/AM501713G10.1021/AM501713G ↗
27. 10.1016/j.jes.2018.06.01610.1016/j.jes.2018.06.016 ↗
28. 10.1039/c7ta02528a10.1039/c7ta02528a ↗
29. 10.1007/S10853-013-7705-Y10.1007/S10853-013-7705-Y ↗
30. 10.1002/app.3963710.1002/app.39637 ↗
31. 10.1016/j.synthmet.2005.02.01010.1016/j.synthmet.2005.02.010 ↗
32. 10.1021/am300352310.1021/am3003523 ↗
33. 10.1016/j.jallcom.2008.11.02410.1016/j.jallcom.2008.11.024 ↗
34. 10.1016/j.desal.2014.04.01510.1016/j.desal.2014.04.015 ↗
35. 10.2147/OTT.S23096310.2147/OTT.S230963 ↗
36. 10.1158/1535-7163.mct-12-080210.1158/1535-7163.mct-12-0802 ↗
37. 10.1016/j.ymeth.2007.09.00610.1016/j.ymeth.2007.09.006 ↗
38. 10.1007/978-1-60761-657-3_1810.1007/978-1-60761-657-3_18 ↗
39. 10.1261/rna.253381110.1261/rna.2533811 ↗
40. 10.1371/journal.pone.000622910.1371/journal.pone.0006229 ↗
41. 10.1016/j.bios.2016.02.03510.1016/j.bios.2016.02.035 ↗
42. 10.1016/j.talanta.2013.09.04110.1016/j.talanta.2013.09.041 ↗
43. 10.1002/app.2429010.1002/app.24290 ↗
44. 10.1007/s10973-009-0126-010.1007/s10973-009-0126-0 ↗
45. 10.1021/la503290n10.1021/la503290n ↗
46. 10.1016/j.carbon.2009.08.00210.1016/j.carbon.2009.08.002 ↗
47. 10.1016/j.colsurfb.2011.06.02410.1016/j.colsurfb.2011.06.024 ↗
48. 10.1371/journal.pone.018809510.1371/journal.pone.0188095 ↗
49. 10.1016/j.polymdegradstab.2016.06.01910.1016/j.polymdegradstab.2016.06.019 ↗
50. 10.5281/zenodo.334455910.5281/zenodo.3344559 ↗
51. 10.1039/c8ra01385c10.1039/c8ra01385c ↗
52. 10.1016/j.susc.2007.04.08210.1016/j.susc.2007.04.082 ↗
53. 10.3390/polym1103040210.3390/polym11030402 ↗
54. 10.1016/j.polymer.2008.11.01610.1016/j.polymer.2008.11.016 ↗
55. 10.1016/j.jiec.2015.12.02410.1016/j.jiec.2015.12.024 ↗
56. 10.1016/j.matlet.2008.09.06010.1016/j.matlet.2008.09.060 ↗
57. 10.1039/c9ra05780c10.1039/c9ra05780c ↗
58. 10.1038/s41598-018-25194-110.1038/s41598-018-25194-1 ↗
59. 10.1063/1.36274510.1063/1.362745 ↗
60. 10.3390/polym1112196810.3390/polym11121968 ↗
61. 10.1016/j.carbon.2009.07.03910.1016/j.carbon.2009.07.039 ↗
62. 10.3390/s506039410.3390/s5060394 ↗
63. 10.1039/c6ay03022j10.1039/c6ay03022j ↗