Multiparametric Bioresorbable Sensor for Doxorubicin Detection via Molecularly Imprinted Synthetic Receptors
Source abstract
Abstract
ABSTRACT Monitoring chemotherapeutic drug concentrations directly at the tumor site remains a critical unmet need in oncology, as conventional pharmacokinetic assessments based on systemic circulation fail to capture the spatial and temporal heterogeneity of drug distribution within solid tumors. Here, we report a bioresorbable, multiparametric optical sensor designed for the in situ detection of the chemotherapeutic agent doxorubicin. The sensor integrates a nanostructured porous silica scaffold with a molecularly imprinted polymer (MIP) synthetic receptor that provides shape‐ and chemistry‐selective recognition of doxorubicin molecules. Molecular binding events are transduced through two orthogonal optical signals: i) shifts in effective optical thickness and ii) fluorescence intensity changes, enabling accurate and self‐validating quantification across clinically relevant concentration ranges. The sensor operates reliably in serum with a limit of detection as low as 0.1 µg/mL, and exhibits reversible performance with minimal signal drift (<15.3%) over 12 weeks —consistent with standard chemotherapy regimens. In vivo implantation studies in mice confirm biodegradation and biocompatibility, with no evidence of local or systemic toxicity. This platform introduces a versatile strategy for multiparametric, bioresorbable chemical sensing using MIP synthetic receptors, establishing a foundation for future implantable diagnostics in precision chemotherapy.
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Research context
OpenAlex topics: Analytical chemistry methods development · Analytical Chemistry and Sensors · Mesoporous Materials and Catalysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Information Engineering University of Pisa Pisa Italy
Laboratory of Analytical Chemistry Department of Biological and Environmental Sciences and Technologies (Di.S.Te.B.A.) University of Salento Lecce Italy
Department of Biomedical Metabolic and Neural Sciences University of Modena and Reggio Emilia Modena Italy
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