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Unlike other modalities, MPI provides high sensitivity, deep tissue penetration, and no signal attenuation. However, existing MPI tracers suffer from \u201calways\u2010on\u201d signals, which complicate organ\u2010specific imaging and hinder accuracy. To overcome these challenges, we have developed a responsive MPI tracer using pH\u2010responsive PdFe alloy particles coated with a gatekeeper polymer. This tracer exhibits pH\u2010sensitive Fe release and modulation of the MPI signal, enabling selective imaging with a higher signal\u2010to\u2010noise ratio and intratumoral pH quantification. Notably, this responsive tracer facilitates subtraction\u2010enhanced MPI imaging, effectively eliminating interference from liver uptake and expanding the scope of abdominal imaging. Additionally, the tracer employs a dual\u2010function mechanism for adaptive cancer therapy, combining pH\u2010switchable enzyme\u2010like catalysis with dual\u2010key co\u2010activation of ROS generation, and Pd skeleton that scavenges free radicals to minimize Fe\u2010related toxicity. This advancement promises to significantly expand MPI's applicability in diagnostics and therapeutic monitoring, marking a leap forward in imaging technology.<\/jats:p>","DOI":"10.1002\/adma.202409117","type":"journal-article","created":{"date-parts":[[2024,10,16]],"date-time":"2024-10-16T01:35:18Z","timestamp":1729042518000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Responsive Magnetic Particle Imaging Tracer: Overcoming \u201cAlways\u2010On\u201d Limitation, Eliminating Interference, and Ensuring Safety in Adaptive Therapy"],"prefix":"10.1002","volume":"36","author":[{"given":"Guoqiang","family":"Guan","sequence":"first","affiliation":[{"name":"Key Laboratory of Diagnosis and Treatment of Severe Hepato\u2010Pancreatic Diseases of Zhejiang Province The First Affiliated Hospital of Wenzhou Medical University  Wenzhou Zhejiang 325000 China"},{"name":"State Key Laboratory for Chemo\/ Bio\u2010Sensing and 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