TY - JOUR
T1 - Highly uniform and ultra-sensitive graphene hybrid SERS substrates fabricated by colloidal lithography
AU - Wu, Heping
AU - Zhang, Jie
AU - Huang, Linya
AU - Jiang, Luyue
AU - Li, Zixuan
AU - Li, Zhikang
AU - Zhao, Libo
AU - Zhao, Gang
AU - Ren, Wei
AU - Niu, Gang
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2026/2/15
Y1 - 2026/2/15
N2 - Surface-enhanced Raman spectroscopy (SERS), empowered by the rapid development of advanced micro/nanostructured substrates, has shown increasing promise in diverse applications. Graphene-Au nanopyramid (GAuNP) substrate is a promising SERS platform with high sensitivity, and can be fabricated through low-cost colloidal lithography. However, the fabrication processes remain underexplored and limit investigations into nanopyramid arrays with diverse dimensions. Here, three types of highly uniform and ultra-sensitive GAuNP SERS substrates with diverse dimensions were fabricated through advanced colloidal lithography technology. A novel Langmuir-Blodgett method and a poly (methyl methacrylate)/paraffin bilayer-enabled method were introduced to fabricate two-dimensional polystyrene colloidal crystals and achieve large-area, clean graphene transfer. Optimal micro/nanofabrication methods and parameters were comprehensively identified. Relative standard deviations of 3.3 % for nanopyramid size and 9.1 % for spectral intensity demonstrate excellent structural and spectral uniformity. Theoretical simulations and experimental results demonstrated the ultra-sensitivity, achieving a maximum analytical enhancement factor of 1.6 × 1010. Graphene contributes a 19-fold chemical enhancement effect and improves quantitative analysis capabilities. Machine learning enabled the classification of various substances with exceptional performance, achieving 100 % sensitivity, over 96.3 % specificity, and over 97.4 % accuracy. This method demonstrates significant potential for diverse applications, such as cytological diagnosis and chemical detection.
AB - Surface-enhanced Raman spectroscopy (SERS), empowered by the rapid development of advanced micro/nanostructured substrates, has shown increasing promise in diverse applications. Graphene-Au nanopyramid (GAuNP) substrate is a promising SERS platform with high sensitivity, and can be fabricated through low-cost colloidal lithography. However, the fabrication processes remain underexplored and limit investigations into nanopyramid arrays with diverse dimensions. Here, three types of highly uniform and ultra-sensitive GAuNP SERS substrates with diverse dimensions were fabricated through advanced colloidal lithography technology. A novel Langmuir-Blodgett method and a poly (methyl methacrylate)/paraffin bilayer-enabled method were introduced to fabricate two-dimensional polystyrene colloidal crystals and achieve large-area, clean graphene transfer. Optimal micro/nanofabrication methods and parameters were comprehensively identified. Relative standard deviations of 3.3 % for nanopyramid size and 9.1 % for spectral intensity demonstrate excellent structural and spectral uniformity. Theoretical simulations and experimental results demonstrated the ultra-sensitivity, achieving a maximum analytical enhancement factor of 1.6 × 1010. Graphene contributes a 19-fold chemical enhancement effect and improves quantitative analysis capabilities. Machine learning enabled the classification of various substances with exceptional performance, achieving 100 % sensitivity, over 96.3 % specificity, and over 97.4 % accuracy. This method demonstrates significant potential for diverse applications, such as cytological diagnosis and chemical detection.
KW - Biosensing
KW - Colloidal lithography
KW - Graphene
KW - Machine learning
KW - Surface-enhanced Raman spectroscopy
UR - https://www.scopus.com/pages/publications/105021955342
U2 - 10.1016/j.snb.2025.139070
DO - 10.1016/j.snb.2025.139070
M3 - 文章
AN - SCOPUS:105021955342
SN - 0925-4005
VL - 449
JO - Sensors and Actuators B: Chemical
JF - Sensors and Actuators B: Chemical
M1 - 139070
ER -