2026-03-24 合肥物質科学研究院（HFIPS）
Schematic illustration of the MetaRing platform for detecting paclitaxel treatment sensitivity in breast cancer.(Image by HUANG Guangyao)
＜関連情報＞
- https://english.hf.cas.cn/nr/bth/202603/t20260324_1153680.html
- https://www.sciencedirect.com/science/article/abs/pii/S0956566326002538
迅速なSERSベースの化学療法反応プロファイリングのための、プログラム可能なマトリックス耐性プラズモンMetaRingバイオセンサー A programmable matrix-robust plasmonic MetaRing biosensor for rapid SERS-based chemotherapeutic response profiling
Yue Fang, Guangyao Huang, Sensen Hao, Bin Chen, Jiqing Hao, Ying Wang, Nan Liu, Zhenxing Li, Wen Cao, Mancun Zhao, Hanghan Jiang, Lanxin Bao, Junping Wang, Hongzhi Wang
Biosensors and Bioelectronics Available online: 19 March 2026
DOI:https://doi.org/10.1016/j.bios.2026.118621
Highlights
- A programmable, matrix-robust plasmonic MetaRing enables rapid SERS-based chemotherapeutic response profiling.
- Deterministic nanogap engineering is achieved via dual control of nanoparticle concentration and evaporation temperature.
- Accurate paclitaxel sensitivity classification is accomplished within 10 min using a lightweight CNN.
Abstract
Rapid assessment of chemotherapeutic response is essential for precision oncology but remains hindered by tumor heterogeneity and complex biological matrices. Here, we develop MetaRing, a programmable coffee-ring-derived plasmonic biosensor fabricated through dual regulation of nanoparticle concentration and evaporation temperature. This strategy enables deterministic nanoassembly, generating hierarchical structures with dense and stable nanogaps and conferring exceptional matrix robustness in water, PBS, protein-rich buffers, and complex cell lysates. MetaRing enables rapid, label-free surface-enhanced Raman spectroscopy (SERS) profiling of paclitaxel (PTX) response using minimal biological material. Distinct PTX-sensitivity fingerprints are consistently identified across drug-resistant breast cancer cell lines, xenograft tumors, and patient-derived biopsy tissues. Metabolomic analysis reveals that these spectral signatures originate from metabolic reprogramming involving arginine and methionine–cysteine pathways, providing mechanistic insight into chemoresistance. Integration with a lightweight one-dimensional convolutional neural network enables accurate classification of PTX sensitivity within 10 min without labeling or culture expansion, achieving >92% accuracy in clinical cohorts. Collectively, MetaRing establishes a robust and scalable plasmonic platform for rapid phenotypic drug response profiling with strong translational potential.
