Periodic Reporting for period 1 - RESORB (On-Demand Bioresorbable OptoElectronic System for In-Vivo and In-Situ Monitoring of Chemotherapeutic Drugs)
Reporting period: 2022-04-01 to 2023-03-31
The aim of the RESORB project is to revolutionise the clinical-diagnostic field by developing implantable and bioresorbable chemical sensing systems able to operate in vivo and monitor drug molecules (and other markers) of clinical-diagnostic relevance, thus changing the paradigm in chemical sensing to date based on the withdrawal of bodily fluid to bring to a standalone external sensor.
All the building blocks have been fabricated, though in a non optimised version, successfully tested in vitro, and some of them have been patented. In-vivo tests for biocompatibility and operation are on going.
The system integrates a reusable driving/readout circuit, wireless transceiver, and power supply and leverages a bioresorbable fluorescence sensor consisting of a porous silica scaffold coated with a multilayer stack of fluorescent nanometer-thick polymers. The pH-induced swelling/shrinking of the multilayer stack transduces pH changes into a linear increase/decrease of the fluorescence intensity. Both the system and sensor were able to operate in the physio-pathological pH range of 3–7.5 with high linearity, accuracy, and reliability. The sensor has been also successfully tested for biocompatibility and bioresorbability in vivo, in an animal model.
The sensor, and in turn the sensing system, can be adapted to monitor other markers/analytes if polymers functionalized with suitable receptors, instead of fluorophores, are used for the functionalization of the.
[1] Wireless and Flexible Optoelectronic System for In Situ Monitoring of Vaginal pH Using a Bioresorbable Fluorescence Sensor, A Paghi, M Corsi, AA La Mattina, G Egri, L Dähne, G Barillaro, Advanced Materials Technologies, 2022, 2201600 (DOI: 10.1002/admt.202201600.
[2] Bioresorbable Nanostructured Chemical Sensor for Monitoring of pH Level In Vivo, M.Corsi A. Paghi, S. Mariani, G. Golinelli, A. Debrassi, G. Egri, G. Leo, E. Vandini, A. Vilella, L. Dähne, D. Giuliani, and G. Barillaro, Advanced Science 2022, 2202062 (DOI: 10.1002/advs.202202062)