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  • Open Access
  • Review

Hybrid SERS Platforms for Enhanced Biochemical Sensing

  • Jiazheng Bao 1,   
  • Bin Lian 1,   
  • Hyungmok Joh 1,2,   
  • Alan Xiaolong Wang 3,*,   
  • Donglei Emma Fan 1,2,4,5,*

Received: 10 Apr 2026 | Revised: 06 Jul 2026 | Accepted: 30 Jul 2026 | Published: 27 Aug 2026

Abstract

Surface-enhanced Raman scattering (SERS) is a powerful analytical technique for label-free, ultrasensitive biochemical detection, offering broad potential for biomedical, environmental monitoring, and defense applications. However, conventional noble-metal SERS substrates remain limited by chemical instability, insufficient enhancement reproducibility, and slow analyte detection in dilute aqueous solutions. Recently, hybrid SERS platforms that integrate plasmonic nanostructures with functional material systems—such as semiconductors, two-dimensional materials, photonic crystals, and active robotic modules—have emerged as promising strategies to overcome these limitations. In this review, we examine recent advances in hybrid SERS platforms from the perspective of material systems. Their working principles can be broadly categorized into two types: functional materials that regulate interfacial electromagnetic and chemical enhancement, and robotized systems that promote targeted analyte access or active enrichment at sensing hotspots. By linking material properties, working mechanisms, and sensing performance, this review provides a materials-based perspective to guide the rational design of high-performance, application-oriented SERS platforms.

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References 

  • 1.

    Daniel, M.C.; Astruc, D. Gold nanoparticles: Assembly, supramolecular chemistry, quantum-size-related properties, and applications toward biology, catalysis, and nanotechnology. Chem. Rev. 2004, 104, 293–346. https://doi.org/10.1021/cr030698.

  • 2.

    Cialla-May, D.; Zheng, X.S.; Weber, K.; Popp, J. Recent progress in surface-enhanced Raman spectroscopy for biological and biomedical applications: From cells to clinics. Chem. Soc. Rev. 2017, 46, 3945–3961. https://doi.org/10.1039/c7cs00172j.

  • 3.

    Nam, J.M.; Oh, J.W.; Lee, H.; Suh, Y.D. Plasmonic Nanogap-Enhanced Raman Scattering with Nanoparticles. Acc. Chem. Res. 2016, 49, 2746–2755. https://doi.org/10.1021/acs.accounts.6b00409.

  • 4.

    Kim, G.H.; Son, J.; Nam, J.M. Advances, Challenges, and Opportunities in Plasmonic Nanogap-Enhanced Raman Scattering with Nanoparticles. ACS Nano 2025, 19, 2992–3007. https://doi.org/10.1021/acsnano.4c14557.

  • 5.

    Cardinal, M.F.; van der Ende, E.V.; Hackler, R.A.; McAnally, M.O.; Stair, P.C.; Schatz, G.C.; Van Duyne, R.P. Expanding applications of SERS through versatile nanomaterials engineering. Chem. Soc. Rev. 2017, 46, 3886–3903. https://doi.org/10.1039/c7cs00207f.

  • 6.

    Pérez-Jiménez, A.I.; Lyu, D.; Lu, Z.; Liu, G.; Ren, B. Surface-enhanced Raman spectroscopy: Benefits, trade-offs and future developments. Chem. Sci. 2020, 11, 4563–4577. https://doi.org/10.1039/d0sc00809e.

  • 7.

    Wang, X.; Huang, S.-C.; Hu, S.; Yan, S.; Ren, B. Fundamental understanding and applications of plasmon-enhanced Raman spectroscopy. Nat. Rev. Phys. 2020, 2, 253–271. https://doi.org/10.1038/s42254-020-0171-y.

  • 8.

    Guerrini, L.; Rodriguez-Loureiro, I.; Correa-Duarte, M.A.; Lee, Y.H.; Ling, X.Y.; García de Abajo, F.J.; Alvarez-Puebla, R.A. Chemical speciation of heavy metals by surface-enhanced Raman scattering spectroscopy: Identification and quantification of inorganic- and methyl-mercury in water. Nanoscale 2014, 6, 8368–8375. https://doi.org/10.1039/c4nr01464b.

  • 9.

    Wang, B.; Lv, X.; Feng, D.; Xie, L.; Zhang, J.; Li, M.; Xie, Y.; Li, J.; Zhou, H. Highly Stable Zr(IV)-Based Metal-Organic Frameworks for the Detection and Removal of Antibiotics and Organic Explosives in Water. J. Am. Chem. Soc. 2016, 138, 6204–6216. https://doi.org/10.1021/jacs.6b01663.

  • 10.

    Hu, Y.; Liao, J.; Wang, D.; Li, G. Fabrication of Gold Nanoparticle-Embedded Metal-Organic Framework for Highly Sensitive Surface-Enhanced Raman Scattering Detection. Anal. Chem. 2014, 86, 3955–3963. https://doi.org/10.1021/ac5002355.

  • 11.

    Zhang, X.; Dai, Z.; Si, S.; Zhang, X.; Wu, W.; Deng, H.; Wang, F.; Xiao, X.; Jiang, C. Ultrasensitive SERS Substrate Integrated with Uniform Subnanometer Scale “Hot Spots” Created by a Graphene Spacer for the Detection of Mercury Ions. Small 2017, 13, 1603347. https://doi.org/10.1002/smll.201603347.

  • 12.

    Hu, R.; Tang, R.; Xu, J.; Lu, F. Chemical nanosensors based on molecularly-imprinted polymers doped with silver nanoparticles for the rapid detection of caffeine in wastewater. Anal. Chim. Acta 2018, 1034, 176–183. https://doi.org/10.1016/j.aca.2018.06.012.

  • 13.

    Castro-Grijalba, A.; Montes-García, V.; Cordero-Ferradás, M.; Coronado, E.; Pérez-Juste, J.; Pastoriza-Santos, I. SERS-Based Molecularly Imprinted Plasmonic Sensor for Highly Sensitive PAH Detection. ACS Sens. 2020, 5, 693–702. https://doi.org/10.1021/acssensors.9b01882.

  • 14.

    Li, S.; Shi, B.; He, D.; Zhou, H.; Gao, Z. DNA origami-mediated plasmonic dimer nanoantenna-based SERS biosensor for ultrasensitive determination of trace diethylstilbestrol. J. Hazard. Mater. 2023, 458, 131874. https://doi.org/10.1016/j.jhazmat.2023.131874.

  • 15.

    Song, W.; Yang, Z.; Ma, F.; Chi, M.; Zhao, B.; Lu, X. Electrospun magnetic CoFe2O4/Ag hybrid nanotubes for sensitive SERS detection and monitoring of the catalytic degradation of organic pollutants. RSC Adv. 2017, 7, 40334–40341. https://doi.org/10.1039/c7ra07786f.

  • 16.

    Plou, J.; Valera, P.S.; García, I.; de Albuquerque, C.D.L.; Carracedo, A.; Liz-Marzán, L.M. Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine. ACS Photonics 2022, 9, 333–350. https://doi.org/10.1021/acsphotonics.1c01934.

  • 17.

    Zhang, K.; Wang, Y.; Wu, M.; Liu, Y.; Shi, D.; Liu, B. On-demand quantitative SERS bioassays facilitated by surface-tethered ratiometric probes. Chem. Sci. 2018, 9, 8089–8093. https://doi.org/10.1039/c8sc03263g.

  • 18.

    Arabi, M.; Ostovan, A.; Zhang, Z.; Wang, Y.; Mei, R.; Fu, L.; Wang, X.; Ma, J.; Chen, L. Label-free SERS detection of Raman-Inactive protein biomarkers by Raman reporter indicator: Toward ultrasensitivity and universality. Biosens. Bioelectron. 2021, 174, 112825. https://doi.org/10.1016/j.bios.2020.112825.

  • 19.

    Song, L.; Chen, J.; Xu, B.; Huang, Y. Flexible Plasmonic Biosensors for Healthcare Monitoring: Progress and Prospects. ACS Nano 2021, 15, 18822–18847. https://doi.org/10.1021/acsnano.1c07176.

  • 20.

    Xiong, Q.; Lim, C.; Ren, J.; Zhou, J.; Pu, K.; Chan-Park, M.; Mao, H.; Lam, Y.; Duan, H. Magnetic nanochain integrated microfluidic biochips. Nat. Commun. 2018, 9, 1743. https://doi.org/10.1038/s41467-018-04172-1.

  • 21.

    Zhang, D.; Huang, L.; Liu, B.; Ni, H.; Sun, L.; Su, E.; Chen, H.; Gu, Z.; Zhao, X. Quantitative and ultrasensitive detection of multiplex cardiac biomarkers in lateral flow assay with core-shell SERS nanotags. Biosens. Bioelectron. 2018, 106, 204–211. https://doi.org/10.1016/j.bios.2018.01.062.

  • 22.

    Fu, X.; Cheng, Z.; Yu, J.; Choo, P.; Chen, L.; Choo, J. A SERS-based lateral flow assay biosensor for highly sensitive detection of HIV-1 DNA. Biosens. Bioelectron. 2016, 78, 530–537. https://doi.org/10.1016/j.bios.2015.11.099.

  • 23.

    Tian, S.; Li, H.; Li, Z.; Tang, H.; Yin, M.; Chen, Y.; Wang, S.; Gao, Y.; Yang, X.; Meng, F.; et al. Polydiacetylene-based ultrastrong bioorthogonal Raman probes for targeted live-cell Raman imaging. Nat. Commun. 2020, 11, 81. https://doi.org/10.1038/s41467-019-13784-0.

  • 24.

    Su, X.; Liu, X.; Xie, Y.; Chen, M.; Zheng, C.; Zhong, H.; Li, M. Integrated SERS-Vertical Flow Biosensor Enabling Multiplexed Quantitative Profiling of Serological Exosomal Proteins in Patients for Accurate Breast Cancer Subtyping. ACS Nano 2023, 17, 4077–4088. https://doi.org/10.1021/acsnano.3c00449.

  • 25.

    Lin, X.; Wang, Y.; Wang, L.; Lu, Y.; Li, J.; Lu, D.; Zhou, T.; Huang, Z.; Huang, J.; Huang, H.; et al. Interference-free and high precision biosensor based on surface enhanced Raman spectroscopy integrated with surface molecularly imprinted polymer technology for tumor biomarker detection in human blood. Biosens. Bioelectron. 2019, 143, 111599. https://doi.org/10.1016/j.bios.2019.111599.

  • 26.

    Guo, J.; Liang, Z.; Huang, Y.; Kim, K.; Vandeventer, P.; Fan, D. Acceleration of Biomolecule Enrichment and Detection with Rotationally Motorized Opto-Plasmonic Microsensors and the Working Mechanism. ACS Nano 2020, 14, 15204–15215. https://doi.org/10.1021/acsnano.0c05429.

  • 27.

    Xu, X.; Kim, K.; Fan, D. Tunable Release of Multiplex Biochemicals by Plasmonically Active Rotary Nanomotors. Angew. Chem. Int. Ed. 2015, 54, 2525–2529. https://doi.org/10.1002/anie.201410754.

  • 28.

    Zhang, C.; Huang, L.; Pu, H.; Sun, D. Magnetic surface-enhanced Raman scattering (MagSERS) biosensors for microbial food safety: Fundamentals and applications. Trends Food Sci. Technol. 2021, 113, 366–381. https://doi.org/10.1016/j.tifs.2021.05.007.

  • 29.

    Zhu, X.; Zhang, Y.; Liu, M.; Liu, Y. 2D titanium carbide MXenes as emerging optical biosensing platforms. Biosens. Bioelectron. 2021, 171, 112730. https://doi.org/10.1016/j.bios.2020.112730.

  • 30.

    Liang, X.; Li, N.; Zhang, R.; Yin, P.; Zhang, C.; Yang, N.; Liang, K.; Kong, B. Carbon-based SERS biosensor: From substrate design to sensing and bioapplication. NPG Asia Mater. 2021, 13, 8. https://doi.org/10.1038/s41427-020-00278-5.

  • 31.

    Alessandri, I.; Lombardi, J. Enhanced Raman Scattering with Dielectrics. Chem. Rev. 2016, 116, 14921–14981. https://doi.org/10.1021/acs.chemrev.6b00365.

  • 32.

    Li, J.; Zhang, Y.; Ding, S.; Panneerselvam, R.; Tian, Z. Core-Shell Nanoparticle-Enhanced Raman Spectroscopy. Chem. Rev. 2017, 117, 5002–5069. https://doi.org/10.1021/acs.chemrev.6b00596.

  • 33.

    Li, J.; Anema, J.; Wandlowski, T.; Tian, Z. Dielectric shell isolated and graphene shell isolated nanoparticle enhanced Raman spectroscopies and their applications. Chem. Soc. Rev. 2015, 44, 8399–8409. https://doi.org/10.1039/c5cs00501a.

  • 34.

    Liu, Y.; Ma, H.; Han, X.; Zhao, B. Metal-semiconductor heterostructures for surface-enhanced Raman scattering: Synergistic contribution of plasmons and charge transfer. Mater. Horizons 2021, 8, 370–382. https://doi.org/10.1039/d0mh01356k.

  • 35.

    Han, X.; Ji, W.; Zhao, B.; Ozaki, Y. Semiconductor-enhanced Raman scattering: Active nanomaterials and applications. Nanoscale 2017, 9, 4847–4861. https://doi.org/10.1039/c6nr08693d.

  • 36.

    Becerril-Castro, I.; Salgueiriño, V.; Correa-Duarte, M.; Alvarez-Puebla, R. Nano/Micromotor-Driven SERS for Highly Sensitive and Spatially Controlled Sensing. Adv. Funct. Mater. 2024, 34, 2314084. https://doi.org/10.1002/adfm.202314084.

  • 37.

    Song, D.; Yang, R.; Long, F.; Zhu, A. Applications of magnetic nanoparticles in surface-enhanced Raman scattering (SERS) detection of environmental pollutants. J. Environ. Sci. 2019, 80, 14–34. https://doi.org/10.1016/j.jes.2018.07.004.

  • 38.

    Xu, K.; Zhou, R.; Takei, K.; Hong, M. Toward Flexible Surface-Enhanced Raman Scattering (SERS) Sensors for Point-of-Care Diagnostics. Adv. Sci. 2019, 6, 1900925. https://doi.org/10.1002/advs.201900925.

  • 39.

    Laing, S.; Jamieson, L.E.; Faulds, K.; Graham, D. Surface-enhanced Raman spectroscopy for in vivo biosensing. Nat. Rev. Chem. 2017, 1, 0060. https://doi.org/10.1038/s41570-017-0060.

  • 40.

    Shin, M.; Kim, K.; Jeong, D.H. Enhancement of the signal-to-noise ratio in fiber-optics based SERS detection by rough-cutting the end surface. Opt. Express 2023, 31, 12645–12652. https://doi.org/10.1364/OE.485021.

  • 41.

    Choi, M.; Kim, S.; Choi, S.H.; Park, H.-H.; Byun, K.M. Highly reliable SERS substrate based on plasmonic hybrid coupling between gold nanoislands and periodic nanopillar arrays. Opt. Express 2020, 28, 3598–3606. https://doi.org/10.1364/OE.386726.

  • 42.

    Ranasinghe, J.C.; Sanders, S.K.; Wang, Z.; Mehrani, J.; Wu, W.; Dimitrov, E.; Wang, X.; Minns, A.M.; Rossi, R.M.; Lindner, S.E.; et al. Noise Management of Surface-Enhanced Raman Spectroscopy Using Two-Dimensional Materials. ACS Sens. 2026, 11, 1920–1932. https://doi.org/10.1021/acssensors.5c03074.

  • 43.

    Zhou, L.; Huang, Q.; Xia, Y. Plasmon-Induced Hot Electrons in Nanostructured Materials: Generation, Collection, and Application to Photochemistry. Chem. Rev. 2024, 124, 8597–8619. https://doi.org/10.1021/acs.chemrev.4c00165.

  • 44.

    Chang, K.; Zhao, Y.; Wang, M.; Xu, Z.; Zhu, L.; Xu, L.; Wang, Q. Advances in metal-organic framework-plasmonic metal composites based SERS platforms: Engineering strategies in chemical sensing, practical applications and future perspectives in food safety. Chem. Eng. J. 2023, 459, 141539. https://doi.org/10.1016/j.cej.2023.141539.

  • 45.

    Ma, L.; Liu, M.; Zhou, X.; Li, C.; Wang, T. Metal-organic framework-based SERS sensing platforms for life and health detection. Mater. Chem. Front. 2023, 7, 4880–4899. https://doi.org/10.1039/d3qm00471f.

  • 46.

    Allegretto, J.; Dostalek, J. Metal-Organic Frameworks in Surface Enhanced Raman Spectroscopy-Based Analysis of Volatile Organic Compounds. Adv. Sci. 2024, 11, 2401437. https://doi.org/10.1002/advs.202401437.

  • 47.

    Zhang, Y.; Radjenovic, P.; Zhou, X.; Zhang, H.; Yao, J.; Li, J. Plasmonic Core-Shell Nanomaterials and their Applications in Spectroscopies. Adv. Mater. 2021, 33, 2005900. https://doi.org/10.1002/adma.202005900.

  • 48.

    Ahmad, R.; Griffete, N.; Lamouri, A.; Felidj, N.; Chehimi, M.; Mangeney, C. Nanocomposites of Gold Nanoparticles@Molecularly Imprinted Polymers: Chemistry, Processing, and Applications in Sensors. Chem. Mater. 2015, 27, 5464–5478. https://doi.org/10.1021/acs.chemmater.5b00138.

  • 49.

    Li, Y.; Yang, Y.; Han, S. Surface molecular imprinting technology integrated SERS sensing: Emerging trends and future perspectives toward on-site hazardous analysis. TrAC Trends Anal. Chem. 2024, 179, 117866. https://doi.org/10.1016/j.trac.2024.117866.

  • 50.

    Guo, X.; Li, J.; Arabi, M.; Wang, X.; Wang, Y.; Chen, L. Molecular-Imprinting-Based Surface-Enhanced Raman Scattering Sensors. ACS Sens. 2020, 5, 601–619. https://doi.org/10.1021/acssensors.9b02039.

  • 51.

    Bharati, M.; Soma, V. Flexible SERS substrates for hazardous materials detection: Recent advances. Opto-Electron. Adv. 2021, 4, 210048. https://doi.org/10.29026/oea.2021.210048.

  • 52.

    Ji, W.; Li, L.; Song, W.; Wang, X.; Zhao, B.; Ozaki, Y. Enhanced Raman Scattering by ZnO Superstructures: Synergistic Effect of Charge Transfer and Mie Resonances. Angew. Chem. Int. Ed. 2019, 58, 14452–14456. https://doi.org/10.1002/anie.201907283.

  • 53.

    Kim, S.M.; Zhang, W.; Cunningham, B.T. Coupling discrete metal nanoparticles to photonic crystal surface resonant modes and application to Raman spectroscopy. Opt. Express 2010, 18, 4300–4309. https://doi.org/10.1364/Oe.18.004300.

  • 54.

    Xu, X.B.; Hasan, D.H.; Wang, L.; Chakravarty, S.; Chen, R.T.; Fan, D.L.; Wang, A.X. Guided-mode-resonance-coupled plasmonic-active SiO2 nanotubes for surface enhanced Raman spectroscopy. Appl. Phys. Lett. 2012, 100, 191114. https://doi.org/10.1063/1.4714710.

  • 55.

    Ren, F.H.; Campbell, J.; Wang, X.Y.; Rorrer, G.L.; Wang, A.X. Enhancing surface plasmon resonances of metallic nanoparticles by diatom biosilica. Opt. Express 2013, 21, 15308–15313. https://doi.org/10.1364/Oe.21.015308.

  • 56.

    Ren, F.; Campbell, J.; Rorrer, G.L.; Wang, A.X. Surface-Enhanced Raman Spectroscopy Sensors From Nanobiosilica With Self-Assembled Plasmonic Nanoparticles. IEEE J. Sel. Top. Quantum Electron. 2014, 20, 127–132. https://doi.org/10.1109/JSTQE.2014.2301016.

  • 57.

    Chen, Y.; Zhang, Y.; Pan, F.; Liu, J.; Wang, K.; Zhang, C.; Cheng, S.; Lu, L.; Zhang, W.; Zhang, Z.; et al. Breath Analysis Based on Surface-Enhanced Raman Scattering Sensors Distinguishes Early and Advanced Gastric Cancer Patients from Healthy Persons. ACS Nano 2016, 10, 8169–8179. https://doi.org/10.1021/acsnano.6b01441.

  • 58.

    Deneme, I.; Liman, G.; Can, A.; Demirel, G.; Usta, H. Enabling three-dimensional porous architectures via carbonyl functionalization and molecular-specific organic-SERS platforms. Nat. Commun. 2021, 12, 6119. https://doi.org/10.1038/s41467-021-26385-7.

  • 59.

    Wang, Y.; Liu, J.; Ozaki, Y.; Xu, Z.; Zhao, B. Effect of TiO2 on Altering Direction of Interfacial Charge Transfer in a TiO2-Ag-MPY-FePc System by SERS. Angew. Chem. Int. Ed. 2019, 58, 8172–8176. https://doi.org/10.1002/anie.201900589.

  • 60.

    Ben-Jaber, S.; Peveler, W.; Quesada-Cabrera, R.; Cortés, E.; Sotelo-Vazquez, C.; Abdul-Karim, N.; Maier, S.; Parkin, I. Photo-induced enhanced Raman spectroscopy for universal ultra-trace detection of explosives, pollutants and biomolecules. Nat. Commun. 2016, 7, 12189. https://doi.org/10.1038/ncomms12189.

  • 61.

    Zhou, L.; Zhou, J.; Lai, W.; Yang, X.; Meng, J.; Su, L.; Gu, C.; Jiang, T.; Pun, E.; Shao, L.; et al. Irreversible accumulated SERS behavior of the molecule-linked silver and silver-doped titanium dioxide hybrid system. Nat. Commun. 2020, 11, 1785. https://doi.org/10.1038/s41467-020-15484-6.

  • 62.

    Zhou, J.; Zhang, J.; Yang, H.; Wang, Z.; Shi, J.; Zhou, W.; Jiang, N.; Xian, G.; Qi, Q.; Weng, Y.; et al. Plasmon-induced hot electron transfer in Au-ZnO heterogeneous nanorods for enhanced SERS. Nanoscale 2019, 11, 11782–11788. https://doi.org/10.1039/c9nr02969a.

  • 63.

    Wu, K.; Chen, J.; McBride, J.R.; Lian, T. Efficient hot-electron transfer by a plasmon-induced interfacial charge-transfer transition. Science 2015, 349, 632–635. https://doi.org/10.1126/science.aac5443.

  • 64.

    He, Z.; Rong, T.; Li, Y.; Ma, J.; Li, Q.; Wu, F.; Wang, Y.; Wang, F. Two-Dimensional TiVC Solid-Solution MXene as Surface-Enhanced Raman Scattering Substrate. ACS Nano 2022, 16, 4072–4083. https://doi.org/10.1021/acsnano.1c09736.

  • 65.

    Liu, X.; Li, T.; Lee, T.; Sun, Y.; Liu, Y.; Shang, L.; Han, Y.; Deng, W.; Yuan, Z.; Dang, A. Wearable Plasmonic Sensors Engineered via Active-Site Maximization of TiVC MXene for Universal Physiological Monitoring at the Molecular Level. ACS Sens. 2024, 9, 483–493. https://doi.org/10.1021/acssensors.3c02285.

  • 66.

    Soundiraraju, B.; George, B. Two-Dimensional Titanium Nitride (Ti2N) MXene: Synthesis, Characterization, and Potential Application as Surface-Enhanced Raman Scattering Substrate. ACS Nano 2017, 11, 8892–8900. https://doi.org/10.1021/acsnano.7b03129.

  • 67.

    Liu, Z.; Yang, J.; Liu, T.; Guan, G.; Han, M. Homogeneous Mo1−xRexS2 monolayer and lateral 1T′@2H heterostructures for significantly enhanced and highly reproducible SERS responses and mechanistic insights. Appl. Surf. Sci. 2025, 682, 161661. https://doi.org/10.1016/j.apsusc.2024.161661.

  • 68.

    Zhou, L.; Pusey-Nazzaro, L.; Ren, G.; Chen, L.; Liu, L.; Zhang, W.; Yang, L.; Zhou, J.; Han, J. Photoactive Control of Surface-Enhanced Raman Scattering with Reduced Graphene Oxide in Gas Atmosphere. ACS Nano 2022, 16, 577–587. https://doi.org/10.1021/acsnano.1c07695.

  • 69.

    Chen, Y.; Pan, R.; Wang, Y.; Guo, P.; Liu, X.; Ji, F.; Hu, J.; Yan, X.; Wang, G.; Zhang, L.; et al. Carbon Helical Nanorobots Capable of Cell Membrane Penetration for Single Cell Targeted SERS Bio-Sensing and Photothermal Cancer Therapy. Adv. Funct. Mater. 2022, 32, 2200600. https://doi.org/10.1002/adfm.202200600.

  • 70.

    Yang, T.; Zhou, J.; Wang, Y.; Fan, B.; Qiao, J.; Chen, L.; Wang, X.; Guo, L.; Yang, H.; Li, Q. Magnetic Micromotors with Spiky Gold Nanoshells as SERS Sensors for Thiram and Bacteria Detection. Small 2024, 20, 2405193. https://doi.org/10.1002/smll.202405193.

  • 71.

    Wang, Y.; Zhou, C.; Wang, W.; Xu, D.; Zeng, F.; Zhan, C.; Gu, J.; Li, M.; Zhao, W.; Zhang, J.; et al. Photocatalytically Powered Matchlike Nanomotor for Light-Guided Active SERS Sensing. Angew. Chem. Int. Ed. 2018, 57, 13110–13113. https://doi.org/10.1002/anie.201807033.

  • 72.

    Kim, K.; Xu, X.; Guo, J.; Fan, D.L. Ultrahigh-speed rotating nanoelectromechanical system devices assembled from nanoscale building blocks. Nat. Commun. 2014, 5, 3632. https://doi.org/10.1038/ncomms4632.

  • 73.

    Dai, X.; Fu, W.; Chi, H.; Mesias, V.; Zhu, H.; Leung, C.; Liu, W.; Huang, J. Optical tweezers-controlled hotspot for sensitive and reproducible surface-enhanced Raman spectroscopy characterization of native protein structures. Nat. Commun. 2021, 12, 1292. https://doi.org/10.1038/s41467-021-21543-3.

  • 74.

    Fu, W.; Chi, H.; Dai, X.; Zhu, H.; Mesias, V.; Liu, W.; Huang, J. Efficient optical plasmonic tweezer-controlled single-molecule SERS characterization of pH-dependent amylin species in aqueous milieus. Nat. Commun. 2023, 14, 6996. https://doi.org/10.1038/s41467-023-42812-3.

  • 75.

    Li, H.; Teal, D.; Liang, Z.; Kwon, H.; Huo, D.; Jin, A.; Fischer, P.; Fan, D. Precise electrokinetic position and three-dimensional orientation control of a nanowire bioprobe in solution. Nat. Nanotechnol. 2023, 18, 1213–1221. https://doi.org/10.1038/s41565-023-01439-7.

  • 76.

    Zhang, L.; Guo, Y.; Hao, R.; Shi, Y.; You, H.; Nan, H.; Dai, Y.; Liu, D.; Lei, D.; Fang, J. Ultra-rapid and highly efficient enrichment of organic pollutants via magnetic mesoporous nanosponge for ultrasensitive nanosensors. Nat. Commun. 2021, 12, 6849. https://doi.org/10.1038/s41467-021-27100-2.

  • 77.

    Wang, C.; Wang, C.; Wang, X.; Wang, K.; Zhu, Y.; Rong, Z.; Wang, W.; Xiao, R.; Wang, S. Magnetic SERS Strip for Sensitive and Simultaneous Detection of Respiratory Viruses. ACS Appl. Mater. Interfaces 2019, 11, 19495–19505. https://doi.org/10.1021/acsami.9b03920.

  • 78.

    Itoh, T.; Prochazka, M.; Dong, Z.; Ji, W.; Yamamoto, Y.; Zhang, Y.; Ozaki, Y. Toward a New Era of SERS and TERS at the Nanometer Scale: From Fundamentals to Innovative Applications. Chem. Rev. 2023, 123, 1552–1634. https://doi.org/10.1021/acs.chemrev.2c00316.

  • 79.

    Le Ru, E.C.; Etchegoin, P.G. Preface. In Principles of Surface-Enhanced Raman Spectroscopy and Related Plasmonic Effects; Elsevier: Amsterdam, The Netherlands, 2009; pp. xvii–xix. https://doi.org/10.1016/B978-0-444-52779-0.00005-2.

  • 80.

    Cirera, B.; Litman, Y.; Lin, C.F.; Akkoush, A.; Hammud, A.; Wolf, M.; Rossi, M.; Kumagai, T. Charge Transfer-Mediated Dramatic Enhancement of Raman Scattering upon Molecular Point Contact Formation. Nano Lett. 2022, 22, 2170–2176. https://doi.org/10.1021/acs.nanolett.1c02626.

  • 81.

    Otto, A.; Bruckbauer, A.; Chen, Y.X. On the chloride activation in SERS and single molecule SERS. J. Mol. Struct. 2003, 661–662, 501–514. https://doi.org/10.1016/j.molstruc.2003.07.026.

  • 82.

    Stewart, M.E.; Anderton, C.R.; Thompson, L.B.; Maria, J.; Gray, S.K.; Rogers, J.A.; Nuzzo, R.G. Nanostructured plasmonic sensors. Chem. Rev. 2008, 108, 494–521. https://doi.org/10.1021/cr068126n.

  • 83.

    Han, X.X.; Rodriguez, R.S.; Haynes, C.L.; Ozaki, Y.; Zhao, B. Surface-enhanced Raman spectroscopy. Nat. Rev. Methods Primers 2021, 1, 87. https://doi.org/10.1038/s43586-021-00083-6.

  • 84.

    Wang, X.T.; Shi, W.S.; She, G.W.; Mu, L.X. Using Si and Ge Nanostructures as Substrates for Surface-Enhanced Raman Scattering Based on Photoinduced Charge Transfer Mechanism. J. Am. Chem. Soc. 2011, 133, 16518–16523. https://doi.org/10.1021/ja2057874.

  • 85.

    Lee, J.; Crampton, K.T.; Tallarida, N.; Apkarian, V.A. Visualizing vibrational normal modes of a single molecule with atomically confined light. Nature 2019, 568, 78–82. https://doi.org/10.1038/s41586-019-1059-9.

  • 86.

    Ye, J.; Arul, R.; Nieuwoudt, M.K.; Dong, J.; Zhang, T.; Dai, L.; Greenham, N.C.; Rao, A.; Hoye, R.L.Z.; Gao, W.; et al. Understanding the Chemical Mechanism behind Photoinduced Enhanced Raman Spectroscopy. J. Phys. Chem. Lett. 2023, 14, 4607–4616. https://doi.org/10.1021/acs.jpclett.3c00478.

  • 87.

    Zhan, C.; Chen, X.-J.; Huang, Y.-F.; Wu, D.-Y.; Tian, Z.-Q. Plasmon-Mediated Chemical Reactions on Nanostructures Unveiled by Surface-Enhanced Raman Spectroscopy. Acc. Chem. Res. 2019, 52, 2784–2792. https://doi.org/10.1021/acs.accounts.9b00280.

  • 88.

    Zhan, C.; Moskovits, M.; Tian, Z.-Q. Recent Progress and Prospects in Plasmon-Mediated Chemical Reaction. Matter 2020, 3, 42–56. https://doi.org/10.1016/j.matt.2020.03.019.

  • 89.

    Xie, W.; Schlücker, S. Hot electron-induced reduction of small molecules on photorecycling metal surfaces. Nat. Commun. 2015, 6, 7570. https://doi.org/10.1038/ncomms8570.

  • 90.

    Anema, J.R.; Li, J.-F.; Yang, Z.-L.; Ren, B.; Tian, Z.-Q. Shell-Isolated Nanoparticle-Enhanced Raman Spectroscopy: Expanding the Versatility of Surface-Enhanced Raman Scattering. Annu. Rev. Anal. Chem. 2011, 4, 129–150. https://doi.org/10.1146/annurev.anchem.111808.073632.

  • 91.

    Li, J.; Tian, X.; Li, S.; Anema, J.; Yang, Z.; Ding, Y.; Wu, Y.; Zeng, Y.; Chen, Q.; Ren, B.; et al. Surface analysis using shell-isolated nanoparticle-enhanced Raman spectroscopy. Nat. Protoc. 2013, 8, 52–65. https://doi.org/10.1038/nprot.2012.141.

  • 92.

    Li, C.; Le, J.; Wang, Y.; Chen, S.; Yang, Z.; Li, J.; Cheng, J.; Tian, Z. In situ probing electrified interfacial water structures at atomically flat surfaces. Nat. Mater. 2019, 18, 697–701. https://doi.org/10.1038/s41563-019-0356-x.

  • 93.

    Wang, Y.; Zheng, S.; Yang, W.; Zhou, R.; He, Q.; Radjenovic, P.; Dong, J.; Li, S.; Zheng, J.; Yang, Z.; et al. In situ Raman spectroscopy reveals the structure and dissociation of interfacial water. Nature 2021, 600, 81–85. https://doi.org/10.1038/s41586-021-04068-z.

  • 94.

    Li, J.; Huang, Y.; Ding, Y.; Yang, Z.; Li, S.; Zhou, X.; Fan, F.; Zhang, W.; Zhou, Z.; Wu, D.; et al. Shell-isolated nanoparticle-enhanced Raman spectroscopy. Nature 2010, 464, 392–395. https://doi.org/10.1038/nature08907.

  • 95.

    Wang, X.; Guo, L. SERS Activity of Semiconductors: Crystalline and Amorphous Nanomaterials. Angew. Chem. Int. Ed. 2020, 59, 4231–4239. https://doi.org/10.1002/anie.201913375.

  • 96.

    Song, G.; Gong, W.; Cong, S.; Zhao, Z. Ultrathin Two-Dimensional Nanostructures: Surface Defects for Morphology-Driven Enhanced Semiconductor SERS. Angew. Chem. Int. Ed. 2021, 60, 5505–5511. https://doi.org/10.1002/anie.202015306.

  • 97.

    Tao, L.; Chen, K.; Chen, Z.; Cong, C.; Qiu, C.; Chen, J.; Wang, X.; Chen, H.; Yu, T.; Xie, W.; et al. 1T′ Transition Metal Telluride Atomic Layers for Plasmon-Free SERS at Femtomolar Levels. J. Am. Chem. Soc. 2018, 140, 8696–8704. https://doi.org/10.1021/jacs.8b02972.

  • 98.

    Li, Z.; Zhai, L.; Zhang, Q.; Zhai, W.; Li, P.; Chen, B.; Chen, C.; Yao, Y.; Ge, Y.; Yang, H.; et al. 1T′-transition metal dichalcogenide monolayers stabilized on 4H-Au nanowires for ultrasensitive SERS detection. Nat. Mater. 2024, 23, 1355–1362. https://doi.org/10.1038/s41563-024-01860-w.

  • 99.

    Ma, N.; Chen, L.; Jing, T.; Zhang, X.; Han, B.; Xue, X.; Zhang, Y.; Zhao, B. New Insight into Charge-Transfer Enhancement for SERS in Cosputtering (Ag)x(ZnS)y System: The Carrier Density Effect. J. Phys. Chem. C 2019, 123, 28846–28851. https://doi.org/10.1021/acs.jpcc.9b09922.

  • 100.

    Feng, E.; Zheng, T.; He, X.; Chen, J.; Gu, Q.; He, X.; Hu, F.; Li, J.; Tian, Y. Plasmon-Induced Charge Transfer-Enhanced Raman Scattering on a Semiconductor: Toward Amplification-Free Quantification of SARS-CoV-2. Angew. Chem. Int. Ed. 2023, 62, e202309249. https://doi.org/10.1002/anie.202309249.

  • 101.

    Meng, X.; Yu, J.; Shi, W.; Qiu, L.; Qiu, K.; Li, A.; Liu, Z.; Wang, Y.; Wu, J.; Lin, J.; et al. SERS Detection of Trace Carcinogenic Aromatic Amines Based on Amorphous MoO3 Monolayers. Angew. Chem. Int. Ed. 2024, 63, e202407597. https://doi.org/10.1002/anie.202407597.

  • 102.

    Zhou, Y.; Gu, Q.; Qiu, T.; He, X.; Chen, J.; Qi, R.; Huang, R.; Zheng, T.; Tian, Y. Ultrasensitive Sensing of Volatile Organic Compounds Using a Cu-Doped SnO2-NiO p-n Heterostructure That Shows Significant Raman Enhancement. Angew. Chem. Int. Ed. 2021, 60, 26260–26267. https://doi.org/10.1002/anie.202112367.

  • 103.

    Demirel, G.; Gieseking, R.; Ozdemir, R.; Kahmann, S.; Loi, M.; Schatz, G.; Facchetti, A.; Usta, H. Molecular engineering of organic semiconductors enables noble metal-comparable SERS enhancement and sensitivity. Nat. Commun. 2019, 10, 5502. https://doi.org/10.1038/s41467-019-13505-7.

  • 104.

    Yilmaz, M.; Babur, E.; Ozdemir, M.; Gieseking, R.; Dede, Y.; Tamer, U.; Schatz, G.; Facchetti, A.; Usta, H.; Demirel, G. Nanostructured organic semiconductor films for molecular detection with surface-enhanced Raman spectroscopy. Nat. Mater. 2017, 16, 918–924. https://doi.org/10.1038/nmat4957.

  • 105.

    Miao, P.; Qin, J.; Shen, Y.; Su, H.; Dai, J.; Song, B.; Du, Y.; Sun, M.; Zhang, W.; Wang, H.; et al. Unraveling the Raman Enhancement Mechanism on 1T′-Phase ReS2 Nanosheets. Small 2018, 14, 1704079. https://doi.org/10.1002/smll.201704079.

  • 106.

    Liu, X.; Dang, A.; Li, T.; Sun, Y.; Lee, T.C.; Deng, W.; Wu, S.; Zada, A.; Zhao, T.; Li, H. Plasmonic Coupling of Au Nanoclusters on a Flexible MXene/Graphene Oxide Fiber for Ultrasensitive SERS Sensing. ACS Sens. 2023, 8, 1287–1298. https://doi.org/10.1021/acssensors.2c02808.

  • 107.

    Wu, Z.; Sun, D.; Pu, H.; Wei, Q.; Lin, X. Ti3C2Tx MXenes loaded with Au nanoparticle dimers as a surface-enhanced Raman scattering aptasensor for AFB1 detection. Food Chem. 2022, 372, 131293. https://doi.org/10.1016/j.foodchem.2021.131293.

  • 108.

    Yu, Z.; Jiang, L.; Liu, R.; Zhao, W.; Yang, Z.; Zhang, J.; Jin, S. Versatile self-assembled MXene-Au nanocomposites for SERS detection of bacteria, antibacterial and photothermal sterilization. Chem. Eng. J. 2021, 426, 131914. https://doi.org/10.1016/j.cej.2021.131914.

  • 109.

    Yang, K.; Dong, Q.; Liu, H.; Wu, L.; Zong, S.; Wang, Z. A MXene Hydrogel-Based Versatile Microrobot for Controllable Water Pollution Management. Adv. Sci. 2024, 11, 2309257. https://doi.org/10.1002/advs.202309257.

  • 110.

    Kaushik, V.; Kagdada, H.; Singh, D.; Pathak, S. Enhancement of SERS effect in Graphene-Silver hybrids. Appl. Surf. Sci. 2022, 574, 151724. https://doi.org/10.1016/j.apsusc.2021.151724.

  • 111.

    Ding, X.; Kong, L.; Wang, J.; Fang, F.; Li, D.; Liu, J. Highly Sensitive SERS Detection of Hg2+ Ions in Aqueous Media Using Gold Nanoparticles/Graphene Heterojunctions. ACS Appl. Mater. Interfaces 2013, 5, 7072–7078. https://doi.org/10.1021/am401373e.

  • 112.

    Kong, X.M.; Xi, Y.T.; LeDuff, P.; Li, E.W.; Liu, Y.; Cheng, L.J.; Rorrer, G.L.; Tan, H.; Wang, A.X. Optofluidic sensing from inkjet-printed droplets: The enormous enhancement by evaporation-induced spontaneous flow on photonic crystal biosilica. Nanoscale 2016, 8, 17285–17294. https://doi.org/10.1039/c6nr05809d.

  • 113.

    Sivashanmugan, K.; Squire, K.; Kraai, J.A.; Tan, A.L.; Zhao, Y.; Rorrer, G.L.; Wang, A.X. Biological Photonic Crystal-Enhanced Plasmonic Mesocapsules: Approaching Single-Molecule Optofluidic-SERS Sensing. Adv. Opt. Mater. 2019, 7, 1900415. https://doi.org/10.1002/adom.201900415.

  • 114.

    Yang, J.; Zhen, L.; Ren, F.; Campbell, J.; Rorrer, G.L.; Wang, A.X. Ultra-sensitive immunoassay biosensors using hybrid plasmonic-biosilica nanostructured materials. J. Biophotonics 2015, 8, 659–667. https://doi.org/10.1002/jbio.201400070.

  • 115.

    Tan, A.L.; Zhao, Y.; Sivashanmugan, K.; Squire, K.; Wang, A.X. Quantitative TLC-SERS detection of histamine in seafood with support vector machine analysis. Food Control 2019, 103, 111–118. https://doi.org/10.1016/j.foodcont.2019.03.032.

  • 116.

    Kong, X.M.; Chong, X.Y.; Squire, K.; Wang, A.X. Microfluidic diatomite analytical devices for illicit drug sensing with ppb-Level sensitivity. Sens. Actuators B Chem. 2018, 259, 587–595. https://doi.org/10.1016/j.snb.2017.12.038.

  • 117.

    Wang, X.; Shi, W.; Wang, S.; Zhao, H.; Lin, J.; Yang, Z.; Chen, M.; Guo, L. Two-Dimensional Amorphous TiO2 Nanosheets Enabling High-Efficiency Photoinduced Charge Transfer for Excellent SERS Activity. J. Am. Chem. Soc. 2019, 141, 5856–5862. https://doi.org/10.1021/jacs.9b00029.

  • 118.

    Yang, L.; Peng, Y.; Yang, Y.; Liu, J.; Huang, H.; Yu, B.; Zhao, J.; Lu, Y.; Huang, Z.; Li, Z.; et al. A Novel Ultra-Sensitive Semiconductor SERS Substrate Boosted by the Coupled Resonance Effect. Adv. Sci. 2019, 6, 1900310. https://doi.org/10.1002/advs.201900310.

  • 119.

    Cong, S.; Yuan, Y.; Chen, Z.; Hou, J.; Yang, M.; Su, Y.; Zhang, Y.; Li, L.; Li, Q.; Geng, F.; et al. Noble metal-comparable SERS enhancement from semiconducting metal oxides by making oxygen vacancies. Nat. Commun. 2015, 6, 7800. https://doi.org/10.1038/ncomms8800.

  • 120.

    Zheng, Z.; Cong, S.; Gong, W.; Xuan, J.; Li, G.; Lu, W.; Geng, F.; Zhao, Z. Semiconductor SERS enhancement enabled by oxygen incorporation. Nat. Commun. 2017, 8, 1993. https://doi.org/10.1038/s41467-017-02166-z.

  • 121.

    Wang, X.; Shi, W.; Jin, Z.; Huang, W.; Lin, J.; Ma, G.; Li, S.; Guo, L. Remarkable SERS Activity Observed from Amorphous ZnO Nanocages. Angew. Chem. Int. Ed. 2017, 56, 9851–9855. https://doi.org/10.1002/anie.201705187.

  • 122.

    Boerigter, C.; Aslam, U.; Linic, S. Mechanism of Charge Transfer from Plasmonic Nanostructures to Chemically Attached Materials. ACS Nano 2016, 10, 6108–6115. https://doi.org/10.1021/acsnano.6b01846.

  • 123.

    Rao, V.G.; Aslam, U.; Linic, S. Chemical Requirement for Extracting Energetic Charge Carriers from Plasmonic Metal Nanoparticles to Perform Electron-Transfer Reactions. J. Am. Chem. Soc. 2019, 141, 643–647. https://doi.org/10.1021/jacs.8b11949.

  • 124.

    Zhang, L.; Yi, W.; Li, J.; Wei, G.; Xi, G.; Mao, L. Surfactant-free interfacial growth of graphdiyne hollow microspheres and the mechanistic origin of their SERS activity. Nat. Commun. 2023, 14, 6318. https://doi.org/10.1038/s41467-023-42038-3.

  • 125.

    Huang, K.; Li, Z.; Lin, J.; Han, G.; Huang, P. Two-dimensional transition metal carbides and nitrides (MXenes) for biomedical applications. Chem. Soc. Rev. 2018, 47, 5109–5124. https://doi.org/10.1039/c7cs00838d.

  • 126.

    Kannan, P.K.; Shankar, P.; Blackman, C.; Chung, C.-H. Recent Advances in 2D Inorganic Nanomaterials for SERS Sensing. Adv. Mater. 2019, 31, 1803432. https://doi.org/10.1002/adma.201803432.

  • 127.

    Liu, Y.; Qin, Z.; Deng, J.; Zhou, J.; Jia, X.; Wang, G.; Luo, F. The Advanced Applications of 2D Materials in SERS. Chemosensors 2022, 10, 455. https://doi.org/10.3390/chemosensors10110455.

  • 128.

    Luo, W.; Xiong, W.; Han, Y.; Yan, X.; Mai, L. Application of two-dimensional layered materials in surface-enhanced Raman spectroscopy (SERS). Phys. Chem. Chem. Phys. 2022, 24, 26398–26412. https://doi.org/10.1039/d2cp03650a.

  • 129.

    Lin, J.; Liang, L.; Ling, X.; Zhang, S.; Mao, N.; Zhang, N.; Sumpter, B.; Meunier, V.; Tong, L.; Zhang, J. Enhanced Raman Scattering on In-Plane Anisotropic Layered Materials. J. Am. Chem. Soc. 2015, 137, 15511–15517. https://doi.org/10.1021/jacs.5b10144.

  • 130.

    Huang, Y.; Yu, K.; Li, H.; Xu, K.; Liang, Z.; Walker, D.; Ferreira, P.; Fischer, P.; Fan, D. Scalable Fabrication of Molybdenum Disulfide Nanostructures and their Assembly. Adv. Mater. 2020, 32, 2003439. https://doi.org/10.1002/adma.202003439.

  • 131.

    Huang, Y.; Guo, J.; Li, Y.; Li, H.; Fan, D.E. 2D-Material-Integrated Micromachines: Competing Propulsion Strategy and Enhanced Bacterial Disinfection. Adv. Mater. 2022, 34, 2203082. https://doi.org/10.1002/adma.202203082.

  • 132.

    Dutta, R.; Bala, A.; Sen, A.; Spinazze, M.; Park, H.; Choi, W.; Yoon, Y.; Kim, S. Optical Enhancement of Indirect Bandgap 2D Transition Metal Dichalcogenides for Multi-Functional Optoelectronic Sensors. Adv. Mater. 2023, 35, 2303272. https://doi.org/10.1002/adma.202303272.

  • 133.

    Guselnikova, O.; Lim, H.; Kim, H.; Kim, S.; Gorbunova, A.; Eguchi, M.; Postnikov, P.; Nakanishi, T.; Asahi, T.; Na, J.; et al. New Trends in Nanoarchitectured SERS Substrates: Nanospaces, 2D Materials, and Organic Heterostructures. Small 2022, 18, 2107182. https://doi.org/10.1002/smll.202107182.

  • 134.

    Yin, X.; Tang, C.; Zheng, Y.; Gao, J.; Wu, J.; Zhang, H.; Chhowalla, M.; Chen, W.; Wee, A. Recent developments in 2D transition metal dichalcogenides: Phase transition and applications of the (quasi-)metallic phases. Chem. Soc. Rev. 2021, 50, 10087–10115. https://doi.org/10.1039/d1cs00236h.

  • 135.

    Thakur, A.; Singh, R.; Yadav, V.; Siddhanta, S.; Jayaramulu, K. Advancing SERS Applications of 2D Materials through the Interplay of Rational Design and Structure-Property Relationships. Small Methods 2025, 9, 2402056. https://doi.org/10.1002/smtd.202402056.

  • 136.

    Tang, X.; Hao, Q.; Hou, X.; Lan, L.; Li, M.; Yao, L.; Zhao, X.; Ni, Z.; Fan, X.; Qiu, T. Exploring and Engineering 2D Transition Metal Dichalcogenides toward Ultimate SERS Performance. Adv. Mater. 2024, 36, 2312348. https://doi.org/10.1002/adma.202312348.

  • 137.

    Li, M.; Gao, Y.; Fan, X.; Wei, Y.; Hao, Q.; Qiu, T. Origin of layer-dependent SERS tunability in 2D transition metal dichalcogenides. Nanoscale Horiz. 2021, 6, 186–191. https://doi.org/10.1039/d0nh00625d.

  • 138.

    Chen, J.; Huang, Y.; Kannan, P.; Zhang, L.; Lin, Z.; Zhang, J.; Chen, T.; Guo, L. Flexible and Adhesive Surface Enhance Raman Scattering Active Tape for Rapid Detection of Pesticide Residues in Fruits and Vegetables. Anal. Chem. 2016, 88, 2149–2155. https://doi.org/10.1021/acs.analchem.5b03735.

  • 139.

    Anasori, B.; Lukatskaya, M.; Gogotsi, Y. 2D metal carbides and nitrides (MXenes) for energy storage. Nat. Rev. Mater. 2017, 2, 16098. https://doi.org/10.1038/natrevmats.2016.98.

  • 140.

    Xu, W.; Xiao, J.; Chen, Y.; Chen, Y.; Ling, X.; Zhang, J. Graphene-Veiled Gold Substrate for Surface-Enhanced Raman Spectroscopy. Adv. Mater. 2013, 25, 928–933. https://doi.org/10.1002/adma.201204355.

  • 141.

    Cao, Y.; Cheng, Y.; Sun, M. Graphene-based SERS for sensor and catalysis. Appl. Spectrosc. Rev. 2023, 58, 1–38. https://doi.org/10.1080/05704928.2021.1910286.

  • 142.

    Wang, L.; Li, C.; Cao, C.; Lei, F.; Zhao, X.; Li, Z.; Zhang, C.; Jiao, Y.; Yu, J. Multifunctional Polymeric Nanoneedles with “Full-Spectrum Intrinsic Internal Standard” for Precise SERS Biosensing. Adv. Funct. Mater. 2025, 35, 2416789. https://doi.org/10.1002/adfm.202416789.

  • 143.

    Wang, Z.; Ye, J.; Zhang, K.; Ding, L.; Granzier-Nakajima, T.; Ranasinghe, J.C.; Xue, Y.; Sharma, S.; Biase, I.; Terrones, M.; et al. Rapid Biomarker Screening of Alzheimer’s Disease by Interpretable Machine Learning and Graphene-Assisted Raman Spectroscopy. ACS Nano 2022, 16, 6426–6436. https://doi.org/10.1021/acsnano.2c00538.

  • 144.

    Chen, S.; Wu, Q.; Mishra, C.; Kang, J.; Zhang, H.; Cho, K.; Cai, W.; Balandin, A.A.; Ruoff, R.S. Thermal conductivity of isotopically modified graphene. Nat. Mater. 2012, 11, 203–207. https://doi.org/10.1038/nmat3207.

  • 145.

    Balandin, A.A. Thermal properties of graphene and nanostructured carbon materials. Nat. Mater. 2011, 10, 569–581. https://doi.org/10.1038/nmat3064.

  • 146.

    Qu, L.; Wang, N.; Xu, H.; Wang, W.; Liu, Y.; Kuo, L.; Yadav, T.; Wu, J.; Joyner, J.; Song, Y.; et al. Gold Nanoparticles and g-C3N4-Intercalated Graphene Oxide Membrane for Recyclable Surface Enhanced Raman Scattering. Adv. Funct. Mater. 2017, 27, 1701714. https://doi.org/10.1002/adfm.201701714.

  • 147.

    Xu, W.; Mao, N.; Zhang, J. Graphene: A Platform for Surface-Enhanced Raman Spectroscopy. Small 2013, 9, 1206–1224. https://doi.org/10.1002/smll.201203097.

  • 148.

    John, S. Strong Localization of Photons in Certain Disordered Dielectric Superlattices. Phys. Rev. Lett. 1987, 58, 2486–2489. https://doi.org/10.1103/PhysRevLett.58.2486.

  • 149.

    Yablonovitch, E. Inhibited Spontaneous Emission in Solid-State Physics and Electronics. Phys. Rev. Lett. 1987, 58, 2059–2062. https://doi.org/10.1103/PhysRevLett.58.2059.

  • 150.

    Fuhrmann, T.; Landwehr, S.; El Rharbi-Kucki, M.; Sumper, M. Diatoms as living photonic crystals. Appl. Phys. B 2004, 78, 257–260. https://doi.org/10.1007/s00340-004-1419-4.

  • 151.

    Aguirre, C.I.; Reguera, E.; Stein, A. Tunable Colors in Opals and Inverse Opal Photonic Crystals. Adv. Funct. Mater. 2010, 20, 2565–2578. https://doi.org/10.1002/adfm.201000143.

  • 152.

    Notomi, M.; Yamada, K.; Shinya, A.; Takahashi, J.; Takahashi, C.; Yokohama, I. Extremely large group-velocity dispersion of line-defect waveguides in photonic crystal slabs. Phys. Rev. Lett. 2001, 87, 253902. https://doi.org/10.1103/PhysRevLett.87.253902.

  • 153.

    Lin, C.Y.; Wang, X.L.; Chakravarty, S.; Lee, B.S.; Lai, W.C.; Luo, J.D.; Jen, A.K.Y.; Chen, R.T. Electro-optic polymer infiltrated silicon photonic crystal slot waveguide modulator with 23 dB slow light enhancement. Appl. Phys. Lett. 2010, 97, 093304. https://doi.org/10.1063/1.3486225.

  • 154.

    Wang, S.S.; Magnusson, R. Theory and Applications of Guided-Mode Resonance Filters. Appl. Opt. 1993, 32, 2606–2613. https://doi.org/10.1364/Ao.32.002606.

  • 155.

    Huang, M.; Yanik, A.A.; Chang, T.Y.; Altug, H. Sub-wavelength nanofluidics in photonic crystal sensors. Opt. Express 2009, 17, 24224–24233. https://doi.org/10.1364/Oe.17.024224.

  • 156.

    Eftekhari, F.; Escobedo, C.; Ferreira, J.; Duan, X.B.; Girotto, E.M.; Brolo, A.G.; Gordon, R.; Sinton, D. Nanoholes As Nanochannels: Flow-through Plasmonic Sensing. Anal. Chem. 2009, 81, 4308–4311. https://doi.org/10.1021/ac900221y.

  • 157.

    Gale, D.K.; Gutu, T.; Jiao, J.; Chang, C.H.; Rorrer, G.L. Photoluminescence Detection of Biomolecules by Antibody-Functionalized Diatom Biosilica. Adv. Funct. Mater. 2009, 19, 926–933. https://doi.org/10.1002/adfm.200801137.

  • 158.

    Kaminska, A.; Sprynskyy, M.; Winkler, K.; Szymborski, T. Ultrasensitive SERS immunoassay based on diatom biosilica for detection of interleukins in blood plasma. Anal. Bioanal. Chem. 2017, 409, 6337–6347. https://doi.org/10.1007/s00216-017-0566-5.

  • 159.

    Saridag, A.M.; Karagoz, I.D.; Wachsmann-Hogiu, S.; Kahraman, M. Diatomite-Based, Flexible SERS Immunosensor Platform for Rapid, Specific, and Sensitive Detection of Circulating Cancer-Specific Protein Biomarkers in Serum Using Raman Probes. ACS Appl. Bio Mater. 2024, 7, 1878–1887. https://doi.org/10.1021/acsabm.3c01253.

  • 160.

    Sherma, J.; Rabel, F. Review of thin layer chromatography in pesticide analysis: 2016–2018. J. Liq. Chromatogr. Relat. Technol. 2018, 41, 1052–1065. https://doi.org/10.1080/10826076.2018.1557055.

  • 161.

    Pozzi, F.; Shibayama, N.; Leona, M.; Lombardi, J.R. TLC-SERS study of Syrian rue (Peganum harmala) and its main alkaloid constituents. J. Raman Spectrosc. 2013, 44, 102–107. https://doi.org/10.1002/jrs.4140.

  • 162.

    Li, D.W.; Qu, L.L.; Zhai, W.L.; Xue, J.Q.; Fossey, J.S.; Long, Y.T. Facile On-Site Detection of Substituted Aromatic Pollutants in Water Using Thin Layer Chromatography Combined with Surface-Enhanced Raman Spectroscopy. Environ. Sci. Technol. 2011, 45, 4046–4052. https://doi.org/10.1021/es104155r.

  • 163.

    Kong, X.M.; Squire, K.; Chong, X.Y.; Wang, A.X. Ultra-sensitive lab-on-a-chip detection of Sudan I in food using plasmonics-enhanced diatomaceous thin film. Food Control 2017, 79, 258–265. https://doi.org/10.1016/j.foodcont.2017.04.007.

  • 164.

    Kong, X.M.; Li, E.W.; Squire, K.; Liu, Y.; Wu, B.; Cheng, L.J.; Wang, A.X. Plasmonic nanoparticles-decorated diatomite biosilica: Extending the horizon of on-chip chromatography and label-free biosensing. J. Biophotonics 2017, 10, 1473–1484. https://doi.org/10.1002/jbio.201700045.

  • 165.

    Liu, S.; Xu, D.; Chen, J.; Peng, N.; Ma, T.; Liang, F. Nanozymatic magnetic nanomotors for enhancing photothermal therapy and targeting intracellular SERS sensing. Nanoscale 2023, 15, 12944–12953. https://doi.org/10.1039/d3nr02739b.

  • 166.

    Lian, B.; Li, H.; Guo, J.; Fan, D.E. Optoelectric Raman Nanosensors: Overcoming Intrinsic Limit in Nano-biosensing. Res. Sq. 2024. https://doi.org/10.21203/rs.3.rs-4732904/v1.

  • 167.

    Liu, J.; Guo, J.; Meng, G.; Fan, D. Superstructural Raman Nanosensors with Integrated Dual Functions for Ultrasensitive Detection and Tunable Release of Molecules. Chem. Mater. 2018, 30, 5256–5263. https://doi.org/10.1021/acs.chemmater.8b01979.

  • 168.

    Huang, Y.; Gu, Y.; Liu, X.; Deng, T.; Dai, S.; Qu, J.; Yang, G.; Qu, L. Reusable ring-like Fe3O4/Au nanozymes with enhanced peroxidase-like activities for colorimetric-SERS dual-mode sensing of biomolecules in human blood. Biosens. Bioelectron. 2022, 209, 114253. https://doi.org/10.1016/j.bios.2022.114253.

  • 169.

    Jiang, S.; Li, Q.; Wang, C.; Pang, Y.; Sun, Z.; Xiao, R. In Situ Exosomal MicroRNA Determination by Target-Triggered SERS and Fe3O4@TiO2-Based Exosome Accumulation. ACS Sens. 2021, 6, 852–862. https://doi.org/10.1021/acssensors.0c01900.

  • 170.

    Bai, X.; Wang, L.; Ren, J.; Bai, X.; Zeng, L.; Shen, A.; Hu, J. Accurate Clinical Diagnosis of Liver Cancer Based on Simultaneous Detection of Ternary Specific Antigens by Magnetic Induced Mixing Surface-Enhanced Raman Scattering Emissions. Anal. Chem. 2019, 91, 2955–2963. https://doi.org/10.1021/acs.analchem.8b05153.

  • 171.

    Han, L.; Zhu, C.; Tan, Z.; Wang, J.; Liao, X.; Xia, X.; Wang, C. Integrated separation and detection of exosomes via a label-free magnetic SERS platform. Chem. Commun. 2023, 59, 7967–7970. https://doi.org/10.1039/d3cc01530k.

  • 172.

    Kim, H.; Lee, S.; Seo, H.; Kang, B.; Moon, J.; Lee, K.; Yong, D.; Kang, H.; Jung, J.; Lim, E.; et al. Clustered Regularly Interspaced Short Palindromic Repeats-Mediated Surface-Enhanced Raman Scattering Assay for Multidrug-Resistant Bacteria. ACS Nano 2020, 14, 17241–17253. https://doi.org/10.1021/acsnano.0c07264.

  • 173.

    Zhou, J.; Xiong, Q.; Ma, J.; Ren, J.; Messersmith, P.; Chen, P.; Duan, H. Polydopamine-Enabled Approach toward Tailored Plasmonic Nanogapped Nanoparticles: From Nanogap Engineering to Multifunctionality. ACS Nano 2016, 10, 11066–11075. https://doi.org/10.1021/acsnano.6b05951.

  • 174.

    Duan, W.; Liu, R.; Sen, A. Transition between Collective Behaviors of Micromotors in Response to Different Stimuli. J. Am. Chem. Soc. 2013, 135, 1280–1283. https://doi.org/10.1021/ja3120357.

  • 175.

    Kim, K.; Guo, J.; Liang, Z.; Fan, D. Artificial Micro/Nanomachines for Bioapplications: Biochemical Delivery and Diagnostic Sensing. Adv. Funct. Mater. 2018, 28, 1705867. https://doi.org/10.1002/adfm.201705867.

  • 176.

    Wu, J.; Balasubramanian, S.; Kagan, D.; Manesh, K.M.; Campuzano, S.; Wang, J. Motion-based DNA detection using catalytic nanomotors. Nat. Commun. 2010, 1, 36. https://doi.org/10.1038/ncomms1035.

  • 177.

    Chen, C.; Ding, S.; Wang, J. Materials consideration for the design, fabrication and operation of microscale robots. Nat. Rev. Mater. 2024, 9, 159–172. https://doi.org/10.1038/s41578-023-00641-2.

  • 178.

    Pacheco, M.; López, M.; Jurado-Sánchez, B.; Escarpa, A. Self-propelled micromachines for analytical sensing: A critical review. Anal. Bioanal. Chem. 2019, 411, 6561–6573. https://doi.org/10.1007/s00216-019-02070-z.

  • 179.

    Akolpoglu, M.B.; Dogan, N.O.; Bozuyuk, U.; Ceylan, H.; Kizilel, S.; Sitti, M. High-Yield Production of Biohybrid Microalgae for On-Demand Cargo Delivery. Adv. Sci. 2020, 7, 2001256. https://doi.org/10.1002/advs.202001256.

  • 180.

    Shih, K.; Zaidi, N.; Lee, S.H.; Li, H.; Fan, D.E. Nanotweezers for Manipulating Untethered Micro/Nanoscale Bio-Tools: Principles, Performance, and Highlighted Applications. Adv. NanoBiomed Res. 2025, 5, 2400130. https://doi.org/10.1002/anbr.202400130.

  • 181.

    Liang, Z.; Teal, D.; Fan, D. Light programmable micro/nanomotors with optically tunable in-phase electric polarization. Nat. Commun. 2019, 10, 5275. https://doi.org/10.1038/s41467-019-13255-6.

  • 182.

    Joh, H.; Fan, D.E. Materials and Schemes of Multimodal Reconfigurable Micro/Nanomachines and Robots: Review and Perspective. Adv. Mater. 2021, 33, 2101965. https://doi.org/10.1002/adma.202101965.

  • 183.

    Liang, Z.X.; Fan, D.L. Visible light-gated reconfigurable rotary actuation of electric nanomotors. Sci. Adv. 2018, 4, eaau0981. https://doi.org/10.1126/sciadv.aau0981.

  • 184.

    Xu, X.; Kim, K.; Li, H.; Fan, D.L. Ordered Arrays of Raman Nanosensors for Ultrasensitive and Location Predictable Biochemical Detection. Adv. Mater. 2012, 24, 5457–5463. https://doi.org/10.1002/adma.201201820.

  • 185.

    Lai, H.; Xu, F.; Wang, L. A review of the preparation and application of magnetic nanoparticles for surface-enhanced Raman scattering. J. Mater. Sci. 2018, 53, 8677–8698. https://doi.org/10.1007/s10853-018-2095-9.

  • 186.

    Wang, Z.; Zong, S.; Wang, Y.; Li, N.; Li, L.; Lu, J.; Wang, Z.; Chen, B.; Cui, Y. Screening and multiple detection of cancer exosomes using an SERS-based method. Nanoscale 2018, 10, 9053–9062. https://doi.org/10.1039/c7nr09162a.

  • 187.

    Huang, X.; Wu, S.; Hu, H.; Sun, J. AuNanostar@4-MBA@Au Core-Shell Nanostructure Coupled with Exonuclease III-Assisted Cycling Amplification for Ultrasensitive SERS Detection of Ochratoxin A. ACS Sens. 2020, 5, 2636–2643. https://doi.org/10.1021/acssensors.0c01162.

  • 188.

    Zhang, W.; Tang, S.; Jin, Y.; Yang, C.; He, L.; Wang, J.; Chen, Y. Multiplex SERS-based lateral flow immunosensor for the detection of major mycotoxins in maize utilizing dual Raman labels and triple test lines. J. Hazard. Mater. 2020, 393, 122348. https://doi.org/10.1016/j.jhazmat.2020.122348.

  • 189.

    Bell, S.E.J.; Charron, G.; Cortés, E.; Kneipp, J.; de la Chapelle, M.L.; Langer, J.; Procházka, M.; Tran, V.; Schlücker, S. Towards Reliable and Quantitative Surface-Enhanced Raman Scattering (SERS): From Key Parameters to Good Analytical Practice. Angew. Chem. Int. Ed. 2020, 59, 5454–5462. https://doi.org/10.1002/anie.201908154.

  • 190.

    Qian, X.M.; Nie, S.M. Single-molecule and single-nanoparticle SERS: From fundamental mechanisms to biomedical applications. Chem. Soc. Rev. 2008, 37, 912–920. https://doi.org/10.1039/B708839F.

  • 191.

    Bi, X.; He, Z.; Luo, Z.; Huang, W.; Diao, X.; Ye, J. Digital colloid-enhanced Raman spectroscopy for the pharmacokinetic detection of bioorthogonal drugs. Chem. Sci. 2024, 15, 13998–14008. https://doi.org/10.1039/D4SC02553A.

  • 192.

    Bi, X.; Czajkowsky, D.M.; Shao, Z.; Ye, J. Digital colloid-enhanced Raman spectroscopy by single-molecule counting. Nature 2024, 628, 771–775. https://doi.org/10.1038/s41586-024-07218-1.

  • 193.

    Ando, J.; Murai, K.; Michiyuki, T.; Takahashi, I.; Iida, T.; Kogo, Y.; Toyoda, M.; Saito, Y.; Murayama, S.; Kurihara, M.; et al. Digital SERS bioanalysis of single-enzyme biomarkers. Proc. Natl. Acad. Sci. USA 2025, 122, e2510559122. https://doi.org/10.1073/pnas.2510559122.

  • 194.

    Li, J.; Wuethrich, A.; Sina, A.A.I.; Cheng, H.-H.; Wang, Y.; Behren, A.; Mainwaring, P.N.; Trau, M. A digital single-molecule nanopillar SERS platform for predicting and monitoring immune toxicities in immunotherapy. Nat. Commun. 2021, 12, 1087. https://doi.org/10.1038/s41467-021-21431-w.

  • 195.

    Wen, P.; Yang, F.; Zhao, H.; Li, S.; Xu, Y.; Chen, L. Microcavity Array-Based Digital SERS Chip for Rapid and Accurate Label-free Quantitative Detection of Live Bacteria. ACS Sens. 2024, 9, 6167–6173. https://doi.org/10.1021/acssensors.4c02007.

  • 196.

    Liu, W.; Wang, Z.; Liu, Z.; Chen, J.; Shi, L.; Huang, L.; Liu, Y.; Cui, S.; He, X. Utilizing an Automated SERS-Digital Microfluidic System for High-Throughput Detection of Explosives. ACS Sens. 2023, 8, 1733–1741. https://doi.org/10.1021/acssensors.3c00012.

  • 197.

    Kim, W.; Han, J.; Kim, Y.J.; Lee, H.; Kim, T.G.; Shin, J.-H.; Kim, D.-H.; Jung, H.S.; Moon, S.W.; Choi, S. Molybdenum Disulfide-Assisted Spontaneous Formation of Multistacked Gold Nanoparticles for Deep Learning-Integrated Surface-Enhanced Raman Scattering. ACS Nano 2024, 18, 17557–17569. https://doi.org/10.1021/acsnano.4c00978.

  • 198.

    Kim, M.G.; Jue, M.; Lee, K.H.; Lee, E.Y.; Roh, Y.; Lee, M.; Lee, H.J.; Lee, S.; Liu, H.; Koo, B.; et al. Deep Learning Assisted Surface-Enhanced Raman Spectroscopy (SERS) for Rapid and Direct Nucleic Acid Amplification and Detection: Toward Enhanced Molecular Diagnostics. ACS Nano 2023, 17, 18332–18345. https://doi.org/10.1021/acsnano.3c05633.

  • 199.

    Zhao, Y.; Zhan, K.; Xin, P.-L.; Chen, Z.; Li, S.; De Angelis, F.; Huang, J.-A. Single-Molecule SERS Discrimination of Proline from Hydroxyproline Assisted by a Deep Learning Model. Nano Lett. 2025, 25, 7499–7506. https://doi.org/10.1021/acs.nanolett.5c01177.

  • 200.

    Bi, X.; Lin, L.; Chen, Z.; Ye, J. Artificial Intelligence for Surface-Enhanced Raman Spectroscopy. Small Methods 2024, 8, 2301243. https://doi.org/10.1002/smtd.202301243.

  • 201.

    Xue, B.; Bi, X.; Dong, Z.; Xu, Y.; Liang, M.; Fang, X.; Yuan, Y.; Wang, R.; Liu, S.; Jiao, R.; et al. Deep spectral component filtering as a foundation model for spectral analysis demonstrated in metabolic profiling. Nat. Mach. Intell. 2025, 7, 743–757. https://doi.org/10.1038/s42256-025-01027-5.

  • 202.

    Xie, Y.; Su, X.; Wen, Y.; Zheng, C.; Li, M. Artificial Intelligent Label-Free SERS Profiling of Serum Exosomes for Breast Cancer Diagnosis and Postoperative Assessment. Nano Lett. 2022, 22, 7910–7918. https://doi.org/10.1021/acs.nanolett.2c02928.

  • 203.

    Sjöberg, J.; Siminea, N.; Păun, A.; Lita, A.; Larion, M.; Petre, I. RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal. Adv. Opt. Mater. 2025, 13, 2500736. https://doi.org/10.1002/adom.202500736.

  • 204.

    Luo, S.-H.; Xu, J.; Wang, W.-L.; Xiong, C.-R.; Wang, L.-P.; Tian, Z.-Q.; Liu, G.-K. SSNet: A Spectral Unmixing Framework for Enhancing the Qualitative Sensitivity of SERS to Trace Targets in Complex Mixtures. J. Am. Chem. Soc. 2025, 147, 43964–43972. https://doi.org/10.1021/jacs.5c16529.

  • 205.

    Pavlou, E.; Kourkoumelis, N. PyFasma: An open-source, modular Python package for preprocessing and multivariate analysis of Raman spectroscopy data. Analyst 2025, 150, 3112–3122. https://doi.org/10.1039/D5AN00452G.

  • 206.

    Georgiev, D.; Pedersen, S.V.; Xie, R.; Fernández-Galiana, Á.; Stevens, M.M.; Barahona, M. RamanSPy: An Open-Source Python Package for Integrative Raman Spectroscopy Data Analysis. Anal. Chem. 2024, 96, 8492–8500. https://doi.org/10.1021/acs.analchem.4c00383.

  • 207.

    Wang, Z.; Ranasinghe, J.C.; Wu, W.; Chan, D.C.Y.; Gomm, A.; Tanzi, R.E.; Zhang, C.; Zhang, N.; Allen, G.I.; Huang, S. Machine Learning Interpretation of Optical Spectroscopy Using Peak-Sensitive Logistic Regression. ACS Nano 2025, 19, 15457–15473. https://doi.org/10.1021/acsnano.4c16037.

  • 208.

    Song, Y.; Zhang, M.; Jiang, X.; Zhang, F.; Ju, C.; Huang, S.; Lau, A.P.T.; Wang, D. SRS-Net: A universal framework for solving stimulated Raman scattering in nonlinear fiber-optic systems by physics-informed deep learning. Commun. Eng. 2024, 3, 109. https://doi.org/10.1038/s44172-024-00253-w.

  • 209.

    Huang, L.; Sun, H.; Sun, L.; Shi, K.; Chen, Y.; Ren, X.; Ge, Y.; Jiang, D.; Liu, X.; Knoll, W.; et al. Rapid, label-free histopathological diagnosis of liver cancer based on Raman spectroscopy and deep learning. Nat. Commun. 2023, 14, 48. https://doi.org/10.1038/s41467-022-35696-2.

  • 210.

    Zheng, P.; Wu, L.; Lee, M.K.H.; Nelson, A.; Betenbaugh, M.; Barman, I. Deep Learning-Powered Colloidal Digital SERS for Precise Monitoring of Cell Culture Media. Nano Lett. 2025, 25, 6284–6291. https://doi.org/10.1021/acs.nanolett.5c01071.

  • 211.

    Zheng, P.; Semancik, S.; Barman, I. Deep Learning-Assisted SERS for Therapeutic Drug Monitoring of Clozapine in Serum on Plasmonic Metasurfaces. Nano Lett. 2025, 25, 5342–5349. https://doi.org/10.1021/acs.nanolett.5c00391.

  • 212.

    Zhang, D.; Cheng, Z.; Song, Y.; Li, H.; Shi, L.; Wang, N.; Peng, Y.; Chen, R.; Sun, N.; Han, M.; et al. Rapid and sensitive acute leukemia classification and diagnosis platform using deep learning-assisted SERS detection. Cell Rep. Med. 2025, 6, 102320. https://doi.org/10.1016/j.xcrm.2025.102320.

  • 213.

    Zaki, J.K.; Tomasik, J.; McCune, J.A.; Bahn, S.; Lió, P.; Scherman, O.A. Explainable Deep Learning Framework for SERS Bioquantification. ACS Sens. 2025, 10, 6597–6606. https://doi.org/10.1021/acssensors.5c01058.

  • 214.

    Li, M.; He, X.; Wu, C.; Wang, L.; Zhang, X.; Gong, X.; Zeng, X.; Huang, Y. Deep Learning Enabled SERS Identification of Gaseous Molecules on Flexible Plasmonic MOF Nanowire Films. ACS Sens. 2024, 9, 979–987. https://doi.org/10.1021/acssensors.3c02519.

  • 215.

    Lin, X.; Lin, D.; Chen, Y.; Lin, J.; Weng, S.; Song, J.; Feng, S. High Throughput Blood Analysis Based on Deep Learning Algorithm and Self-Positioning Super-Hydrophobic SERS Platform for Non-Invasive Multi-Disease Screening. Adv. Funct. Mater. 2021, 31, 2103382. https://doi.org/10.1002/adfm.202103382.

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DOI
10.53941/mi.2026.100018
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Volume 3, Issue 3
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Bao, J.; Lian, B.; Joh, H.; Wang, A. X.; Fan, D. E. Hybrid SERS Platforms for Enhanced Biochemical Sensing. Materials and Interfaces 2026, 3 (3), 245–286. https://doi.org/10.53941/mi.2026.100018.
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