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ACS Sensors · 2024 · IF 8.2

Rapid Identification of Drug Mechanisms with Deep Learning-Based Multichannel Surface-Enhanced Raman Spectroscopy

Jiajia Sun,Wei Lai,Jiayan Zhao,Jinhong Xue,Tong Zhu,Mingshu Xiao,Tiantian Man,Ying Wan,Hao Pei,Li Li

Rapid identification of drug mechanisms is vital to the development and effective use of chemotherapeutics. Herein, we develop a multichannel surface-enhanced Raman scattering (SERS) sensor array and apply deep learning approaches to realize the rapid identification of the mechanisms of various chemotherapeutic drugs. By implementing a series of self-assembled monolayers (SAMs) with varied molecular characteristics to promote heterogeneous physicochemical interactions at the interfaces, the sensor can generate diversified SERS signatures for directly high-dimensionality fingerprinting drug-induced molecular changes in cells. We further train the convolutional neural network model on the multidimensional SAM-modulated SERS data set and achieve a discriminatory accuracy toward 99%. We expect that such a platform will contribute to expanding the toolbox for drug screening and characterization and facilitate the drug development process.

CAS / MDL: 919-30-2 5470-11-1
研究领域: 药学 · 分析化学 · 生物医学工程 · 机器学习
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RSC Advances · 2023 ·Vol. 13 ·期 15 ·10135-10143 · IF 3.9

An accuracy improved ratiometric SERS sensor for rhodamine 6G in chili powder using a metal–organic framework support

Yangjie Chen,Juan Hao,Zhihang Yin,Qinghui Wang,Youting Zhou,Lingpu Jia,Huiming Li,Wenlong Liao,Kunping Liu

Internal standard molecule 4-mercaptobenzoic acid (4-MBA) embedded Au core-Ag shell nanorods (Au-MBA@Ag NRs) were prepared by a seed-mediated growth method, then loaded on octahedral MIL-88B-NH2 to obtain a novel ratiometric SERS substrate of Au-MBA@Ag NRs/PSS/MIL-88B-NH2 (AMAPM) for detecting rhodamine 6G (R6G) in chili powder. The porous structure and excellent adsorption ability of MIL-88B-NH2, allowed for increased loading of Au-MBA@Ag NRs, thereby shortening the distance between adsorbed R6G and the “hot spot” resulting from local surface plasmon resonance (LSPR) of Au-MBA@Ag NRs. Based on the SERS characteristic peak ratio of R6G to 4-MBA, the ratiometric SERS substrate displayed improved accuracy and excellent performance for R6G detection, with a wide linear range of 5–320 nM and a low detection limit of 2.29 nM as well as fine stability, reproducibility and specificity. The proposed ratiometric SERS substrate offered a simple, fast and sensitive sensing strategy for R6G detection in chili powder, which demonstrated potential applications in food safety and the analysis of trace analytes in complex matrices.

CAS / MDL: 57-09-0 989-38-8
研究领域: 分析化学 · 纳米技术 · 食品科学 · 光谱学
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