研究方向及代表性成果（学术论文、科研项目、科技奖励等） 一、研究方向： 微纳光学纳米材料、拉曼光谱检测、发光调控及光电器件 二、主要承担项目： 1. 国家自然科学基金面上项目，MOF间隔的曲面纳米光腔阵列的表面增强拉曼散射特性及VOC检测研究，2026.01-2029.12，53万元，在研 2. 国家自然科学基金青年基金，基于微纳分级结构双模式局域电磁场调控稀土上转换发光及应用研究，2023.01-2025.12，30万，结题 3. 辽宁省科技计划联合计划项目，贵金属纳米团簇阵列的可控制备及光学特性调控研究，2024.12-2026.12，30万，在研 4. 辽宁省博士启动基金，大面积非致密贵金属纳米有序阵列的简便制备及SERS高灵敏检测研究，2022.3-2024.2，3万，结题 三、代表性论文： 1. Machine Learning‐assisted Ultrasensitive SERS Immunoassays Across Wide Concentration Ranges Toward Clinical Ovarian Cancer Diagnosis. Advanced Functional Materials, 2025, e09813.（第一作者） 2. Facile Synthesis of Ultrasmooth Au Nanospheres into Macroscopic 3D Supercrystals for Machine-Learning-Driven Analysis of Thiram in Soil. Analytical Chemistry, 2025, 97(19), 10452-10462.（通讯作者） 3. Faceted gold nanocrystal film over nanosphere for sensitive SERS distinction of fungicides by deep learning analysis. Sensors and Actuators B: Chemical, 2024, 405, 135374.（通讯作者） 4. Ultrasensitive detection and distinction of pollutants based on SERS assisted by machine learning algorithms. Sensors and Actuators B: Chemical, 2023, 384, 133651.（第一作者） 5. Plasmonic nanosensor based on Ag nanocubes of high purification by extraction filtration strategy for SERS determination of malachite green in aquaculture water. Sensors and Actuators B: Chemical, 2022, 358, 131515.（通讯作者） 6. Facile and robust electrostatic adsorption strategy for 3D SERS sensor towards machine learning-driven identification of aspartame in beverages. Microchemical Journal, 2026 227, 118598.（通讯作者） 7. Au Nanospheres Assembled on Polystyrene Microsphere Arrays on PDMS as Flexible SERS Substrates for Determination of Fungicides on Fish. ACS Applied Nano Materials. 2024, 7, 22, 25815–25822.（通讯作者） 8. Binary plasmonic assembly films with hotspot-type-dependent surface-enhanced Raman scattering properties. ACS Applied Materials & Interfaces, 2021, 13(44), 53289-53299.（第一作者） |
