journal article·2026-04-21

Ratiometric Surface-Enhanced Raman Spectroscopy Quantitative Detection Based on Interfacial Competitive Adsorption

Longkun Yang, Mingrui Zhang, Ruiyang Lv, Runze Yang, Yu Huang, Xiaodie Yang, Pan Li, Zhangkai Zhou, Zhipeng Li

Langmuir· Volume 42· Issue 15
Publisher page

Abstract

Surface-enhanced Raman spectroscopy (SERS) is widely recognized for its high sensitivity and molecular fingerprinting capabilities, but its practical quantitative applications are hindered by its inherent strong intensity fluctuation. Herein, we present an internal-standard free ratiometric SERS strategy for the sensitive and accurate quantitation of cationic analyte (CV + ) in aquatic environments. The method leverages the competitive adsorption between CV + and Hg 2+ on an I – -functionalized silver substrate. The Hg 2+ -triggered signal attenuation yields a ratiometric response ( I R = I / I 0 ) that exhibits a robust linear relationship with the logarithm of CV concentration across a wide dynamic range (1 × 10 –12 to 1 × 10 –7 M). The assay achieves a detection limit of ∼10 –12 M and demonstrates excellent quantitation accuracy, with a recovery rate up to 98% in spiked sample tests. A microscopic Langmuir adsorption model is proposed to elucidate the quantitation mechanism, linking the ratiometric response to the surface coverage of CV + and its competitive displacement. This work extends the ratiometric concept to the quantitation of Raman-active molecules and provides a strategy for indirect sensing via interfacial competition. Integrated with microfluidic technology, the proposed approach holds great potential for the analysis of cationic analytes in environmental monitoring, food safety, and biomedical fields.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Spectroscopy Techniques in Biomedical and Chemical Research · Spectroscopy and Chemometric Analyses

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

Affiliations

Beijing Key Laboratory for Nano-Photonics and Nano-structure (NPNS), Department of Physics

Capital Normal University

School of Engineering

Dali University

State Key Lab of Optoelectronic Materials and Technologies, School of Physics

Sun Yat-sen University

Funding

National Key Research and Development Program of China · Natural Science Foundation of Beijing Municipality · National Natural Science Foundation of China

References (42)

Show source-provided references
1. 10.1021/acsnano.1c0937110.1021/acsnano.1c09371 ↗
2. 10.1021/acsnano.4c0267010.1021/acsnano.4c02670 ↗
3. 10.1021/acs.nanolett.5c0399710.1021/acs.nanolett.5c03997 ↗
4. 10.1016/j.talanta.2024.12697910.1016/j.talanta.2024.126979 ↗
5. 10.1063/5.027293910.1063/5.0272939 ↗
6. 10.1364/OE.48089810.1364/OE.480898 ↗
7. 10.1016/j.snb.2023.13521810.1016/j.snb.2023.135218 ↗
8. 10.1016/j.foodchem.2023.13746910.1016/j.foodchem.2023.137469 ↗
9. 10.1021/acs.analchem.3c0066510.1021/acs.analchem.3c00665 ↗
10. 10.1021/acs.analchem.2c0007110.1021/acs.analchem.2c00071 ↗
11. 10.1021/acsnano.0c0967010.1021/acsnano.0c09670 ↗
12. 10.1021/acs.analchem.7b0396810.1021/acs.analchem.7b03968 ↗
13. 10.1038/s41586-024-07218-110.1038/s41586-024-07218-1 ↗
14. 10.1021/acs.nanolett.4c0350710.1021/acs.nanolett.4c03507 ↗
15. 10.1021/acsnano.4c1518310.1021/acsnano.4c15183 ↗
16. 10.1021/acsphotonics.2c0013210.1021/acsphotonics.2c00132 ↗
17. 10.1016/j.microc.2024.11012710.1016/j.microc.2024.110127 ↗
18. 10.1039/C7CS00612H10.1039/C7CS00612H ↗
19. 10.1186/s40580-024-00443-410.1186/s40580-024-00443-4 ↗
20. 10.1021/acs.langmuir.0c0227110.1021/acs.langmuir.0c02271 ↗
21. 10.1364/OE.26.02243210.1364/OE.26.022432 ↗
22. 10.1002/smtd.20170012610.1002/smtd.201700126 ↗
23. 10.1021/acs.analchem.9b0370310.1021/acs.analchem.9b03703 ↗
24. 10.1002/admi.20220212710.1002/admi.202202127 ↗
25. 10.1002/anie.20150217110.1002/anie.201502171 ↗
26. 10.1021/acsami.3c1898010.1021/acsami.3c18980 ↗
27. 10.1002/smtd.20180018210.1002/smtd.201800182 ↗
28. 10.1016/j.talanta.2022.12375010.1016/j.talanta.2022.123750 ↗
29. 10.1016/j.bios.2017.08.04110.1016/j.bios.2017.08.041 ↗
30. 10.1038/s41467-024-47549-110.1038/s41467-024-47549-1 ↗
31. 10.1016/j.cej.2020.12584010.1016/j.cej.2020.125840 ↗
32. 10.1021/acsami.1c1783210.1021/acsami.1c17832 ↗
33. 10.1021/acsnano.0c0305010.1021/acsnano.0c03050 ↗
34. 10.1021/la00010a02110.1021/la00010a021 ↗
35. 10.1021/jp052184f10.1021/jp052184f ↗
36. 10.1016/S0022-0728(96)04815-210.1016/S0022-0728(96)04815-2 ↗
37. 10.1021/acsanm.9b0149310.1021/acsanm.9b01493 ↗
38. 10.1002/smll.20140016510.1002/smll.201400165 ↗
39. 10.1039/c3an36673a10.1039/c3an36673a ↗
40. 10.1063/1.55573210.1063/1.555732 ↗
41. 10.1021/acs.analchem.8b0048810.1021/acs.analchem.8b00488 ↗
42. 10.1002/smtd.20200099310.1002/smtd.202000993 ↗