{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T15:27:53Z","timestamp":1787585273065,"version":"build-2736575974"},"reference-count":40,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T00:00:00Z","timestamp":1787529600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["advanced.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Advanced Science"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Quantitative surface\u2010enhanced Raman spectroscopy (SERS) has long been impeded by stochastic hotspot formation, signal instability, and limited chemical fidelity in complex environments. Overcoming these intrinsic limitations requires structural control at the nanoscale rather than incremental improvements in signal amplification. Here, we introduce a mesoporous\u2010shell monolayer plasmonic architecture that enables quantitative and decision\u2010guided SERS by integrating deterministic hotspot geometry with regulated molecular accessibility and chemical stabilization of photosensitive analytes. This architecture produces predictable and reproducible SERS responses, shifting SERS from stochastic enhancement toward quantitative sensing. Using chemotherapeutic drugs as representative small\u2010molecule targets, the platform demonstrates ultrasensitive, multiplexed, and reproducible detection in standard solutions and complex biological matrices. Machine learning\u2013assisted spectral analysis further enables accurate concentration prediction in patient blood samples in close agreement with liquid chromatography\u2013mass spectrometry. Importantly, SERS\u2010guided dose adjustment in an orthotopic breast cancer mouse model maintains therapeutic efficacy while significantly reducing systemic toxicity, establishing a direct link between plasmonic sensing and decision\u2010guided intervention. This work defines a materials\u2010based framework for quantitative and decision\u2010enabled SERS, in which mesoporous\u2010shell monolayer architectures transform plasmonic nanostructures into functional platforms for real\u2010world molecular quantification and feedback\u2010controlled biomedical applications.<\/jats:p>","DOI":"10.1002\/advs.77299","type":"journal-article","created":{"date-parts":[[2026,8,24]],"date-time":"2026-08-24T14:47:15Z","timestamp":1787582835000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Mesoporous\u2010Shell Monolayer Plasmonic Architecture Enables Quantitative and Decision\u2010Guided SERS"],"prefix":"10.1002","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-3242-2216","authenticated-orcid":false,"given":"Guangyao","family":"Huang","sequence":"first","affiliation":[{"name":"Hefei Cancer Hospital of CAS Institute of Health and Medical Technology Hefei Institutes of Physical 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