Synergy Mechanisms in Laser-Induced Graphene between Surface-Enhanced Raman Spectroscopy and Electrochemical Methods for Enhanced Dual Sensing; ACS Applied Nano Materials; Vol. 9, iss. 20
| Parent link: | ACS Applied Nano Materials.— .— Washington: American Chemical Society Vol. 9, iss. 20.— 2026.— P. 9268–9280 |
|---|---|
| Other Authors: | Adiraju A. Anurag, Jiadi Mao, Pasti I. A. Igor, Sheremet E. S. Evgeniya Sergeevna, Rodriguez (Rodriges) Contreras R. D. Raul David, Kanoun O. Olfa |
| Summary: | Title screen The development of chemical sensors with selectivity and sensitivity to detect contaminants is challenging, especially in the presence of interferents possessing similar molecular structures. Electrochemical (EC) and Surface-enhanced Raman Spectroscopy (SERS) sensors are widely used, albeit with their disadvantages. However, integration of the two methods into a single platform can potentially overcome their disadvantages. Until now, the majority of the research has focused on EC-supported SERS detection, thereby not exploiting the entire capabilities of EC-SERS. Laser-induced graphene (LIG) technology, a cost-effective and one-step method to produce graphene electrodes, is widely implemented for EC sensors but to a very low extent for SERS. Herein, we aim to perform a comprehensive study on the synergy of EC-SERS methods by developing a dual-sensor platform for 4-nitrophenol (4-NP) detection on LIG embedded with electrodeposited plasmonic silver nanostructures. EC roughening and electrode polarization led to a significant amplification of the SERS response. The selectivity issues with EC methods were overcome through sequential SERS-EC-SERS measurements making it possible to detect 4-NP in solutions containing similar molecules, which was a critical issue reported before. Both methods demonstrated a good capability to detect and quantify 4-NP, exhibiting distinct response modalities. This research establishes a practical approach for leveraging EC and SERS synergy to achieve high analytical performance in detecting molecules with high selectivity in complex chemical environments Текстовый файл AM_Agreement |
| Language: | English |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.1021/acsanm.6c00153 |
| Format: | Electronic Book Chapter |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=687690 |
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