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Roxhed, N.

Publications and source records attributed to Roxhed, N..

2 recordsLinked to original sources

MEMS-Based Ultrasonic Energy Harvesting Platform Enabling Sustained In Vivo Operation of Implantable Microdevices

Implantable microdevices capable of autonomous operation over extended lifetimes are promising enablers for minimally invasive diagnostics and therapy. Microelectromechanical systems (MEMS)-based piezoelectric ultrasonic energy harvesters (PUEH) have emerged as a compelling approach for powering implantable microdevices, where both miniaturization and efficient wireless energy transfer are essential. Here, we present a highly miniaturized (5 x 5 x 5 mm3) ultrasonic energy-harvesting platform enabling sustained in vivo operation of implantable microdevices. The platform integrates a MEMS-PUEH, a high-efficiency power management system, an energy storage element, and representative functional electronics. We first investigate the effect of backside cavity boundary conditions on MEMS-PUEH performance and show that a sealed air-filled chamber significantly outperforms an open water-filled cavity, yielding a 46% increase in root-mean-square output voltage and a 117% increase in average output power across a 2 k{Omega} resistive load under identical incident acoustic intensity at the respective optimal operating frequencies. We then demonstrate system-level integration and characterization. In a tissue-mimicking phantom, under an incident acoustic intensity of approximately 257 mW/cm2, the device charges an 11.5 mF supercapacitor, a 5 {micro}Ah solid-state microbattery, and a 100 {micro}F capacitor to their nominal voltages in less than 5 min, 3 min, and 20 s, respectively. Finally, in vivo validation demonstrates fully autonomous operation of representative functional electronics following ultrasonic charging of the onboard energy storage element. These results establish a highly miniaturized and fully integrated ultrasonic energy-harvesting platform that advances MEMS-based power solutions for implantable biomedical microdevices.

bioengineering↗

Longitudinal blood microsampling and proteome monitoring facilitate timely intervention in experimental type 1 diabetes

Symptoms of immune-mediated diseases (IMIDs) typically appear after irreversible tissue damage, making early interventions based on pre-symptomatic indicators crucial. Current efforts to identify molecular markers of early disease lack the resolution, convenience and cost efficiency required to prevent irreversible tissue damage. Analyzing frequently self-collected samples, such as dried blood spots (DBS), could enable the earlier detection of diseases, identify disease-predictive markers and facilitate tailored interventions. To test this, we regularly microsampled a mouse model infected with a type 1-diabetes (T1D)-associated virus. This longitudinal DBS sample collection was analyzed for 92 circulating proteins, revealing transient molecular changes in virus-infected animals that would have been missed with less frequent sampling. Machine learning predicted infection status after day 2 post-infection with >90% accuracy, enabling well-timed treatment of virus-infected animals and diabetes prevention. Our study demonstrates the utility of frequent blood microsampling to monitor disease during the pre-symptomatic phase, allowing for timely interventions. TeaserFrequent blood microsampling detects early biomarkers, enabling timely intervention in immune-mediated diseases

systems biology↗