Ag-coated cotton fabric as ultrasensitive and flexible SERS substrate
Source abstract
Abstract
Surface enhanced Raman scattering (SERS) has proven to be increasingly valuable as an analytical tool since this phenomenon was first observed in 1973. However, challenges still exist to ensure their ability to access targeted analytes and adequate levels of sensitivity to them on irregular surfaces. Herein, silver (Ag) nanoparticles are deposited onto cotton fabric through magnetron sputtering to develop a flexible and ultrasensitive SERS-active substrate. To obtain a better enhancement effect, Ag nanoparticles of different sizes are produced by controlling the argon flow rate and the sputtering time. The finite-difference time-domain (FDTD) method and Raman mapping are used to explain the process behind Raman signal enhancement. The cotton fabric sample with Ag nanoparticles deposited at an argon flow rate of 200 sccm (labelled as AC-200) shows a high enhancement factor (EF) of 10 4 with a Methylene blue (MB) solution of 10 −3 M, stability with a related standard deviation (RSD) of 1.03%, excellent reproducibility with an RSD of 1.92% and high sensitivity with 10 −9 M of MB solution. Therefore, AC-200 demonstrates exceptional SERS signal reproducibility and stability for different types of chemical analytes and has the potential to be used in future practical applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Biosensors and Analytical Detection · Spectroscopy Techniques in Biomedical and Chemical Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
References (37)
Show source-provided references
1. 10.1016/j.tifs.2017.12.01210.1016/j.tifs.2017.12.012 ↗
2. 10.1016/j.bios.2017.09.05110.1016/j.bios.2017.09.051 ↗
3. 10.1021/acs.chemmater.6b0292510.1021/acs.chemmater.6b02925 ↗
4. 10.1007/s12274-018-2227-110.1007/s12274-018-2227-1 ↗
5. 10.1088/1361-648X/aa60f310.1088/1361-648X/aa60f3 ↗
6. 10.1073/pnas.151898011310.1073/pnas.1518980113 ↗
7. 10.1021/acs.nanolett.6b0086810.1021/acs.nanolett.6b00868 ↗
8. 10.3390/nano706014210.3390/nano7060142 ↗
9. 10.1021/acs.analchem.5b0413110.1021/acs.analchem.5b04131 ↗
10. 10.1021/acsami.5b1129210.1021/acsami.5b11292 ↗
11. 10.1039/C6NR08693D10.1039/C6NR08693D ↗
12. 10.1016/j.apmt.2018.02.00210.1016/j.apmt.2018.02.002 ↗
13. 10.1021/acsami.7b0214910.1021/acsami.7b02149 ↗
14. 10.1002/adma.20160479710.1002/adma.201604797 ↗
15. 10.1021/acs.chemrev.7b0066810.1021/acs.chemrev.7b00668 ↗
16. 10.3390/ma906040610.3390/ma9060406 ↗
17. 10.1016/j.bios.2015.12.05210.1016/j.bios.2015.12.052 ↗
18. 10.1016/j.msec.2016.07.01510.1016/j.msec.2016.07.015 ↗
19. 10.1016/j.compositesb.2019.10737610.1016/j.compositesb.2019.107376 ↗
20. 10.1016/j.foodchem.2020.12627610.1016/j.foodchem.2020.126276 ↗
21. 10.1016/j.electacta.2018.04.12010.1016/j.electacta.2018.04.120 ↗
22. Liu DH · Nature Communications · 2018 · 9 · 1010.1038/s41467-017-02449-5 ↗
23. 10.1039/C7NR08905H10.1039/C7NR08905H ↗
24. 10.1039/C6CP02752K10.1039/C6CP02752K ↗
25. 10.1177/152808371876490810.1177/1528083718764908 ↗
26. 10.1016/j.apsusc.2017.09.05910.1016/j.apsusc.2017.09.059 ↗
27. 10.1016/j.carbon.2016.01.02510.1016/j.carbon.2016.01.025 ↗
28. 10.1007/s12221-017-1237-z10.1007/s12221-017-1237-z ↗
29. Bo L. · Ordnance Equip Eng · 2019 · 40 · 192
30. 10.1016/j.apsusc.2019.14469310.1016/j.apsusc.2019.144693 ↗
31. 10.1007/s11837-019-03878-x10.1007/s11837-019-03878-x ↗
32. 10.1366/12-0661110.1366/12-06611 ↗
33. 10.1016/j.microc.2020.10579910.1016/j.microc.2020.105799 ↗
34. 10.1016/j.foodchem.2016.09.01010.1016/j.foodchem.2016.09.010 ↗
35. 10.1016/j.snb.2017.01.20210.1016/j.snb.2017.01.202 ↗
36. 10.1002/jrs.427010.1002/jrs.4270 ↗
37. 10.1063/1.504882610.1063/1.5048826 ↗