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Real-time recording of the kinetics of systemically administered drugs in in vivo microenvironments may accelerate the development of effective medical therapies. However, conventional methods require considerable analyte quantities, have low sampling rates and do not address how drug kinetics correlate with target function over time. Here, we describe the development and application of a drug-sensing system consisting of a glass microelectrode and a microsensor composed of boron-doped diamond with a tip of around 40 μm in diameter. We show that, in the guinea pig cochlea, the system can measure-simultaneously and in real time-changes in the concentration of bumetanide (a diuretic that is ototoxic but applicable to epilepsy treatment) and the endocochlear potential underlying hearing. In the rat brain, we tracked the kinetics of the drug and the local field potentials representing neuronal activity. We also show that the actions of the antiepileptic drug lamotrigine and the anticancer reagent doxorubicin can be monitored in vivo. Our microsensing system offers the potential to detect pharmacological and physiological responses that might otherwise remain undetected.
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http://dx.doi.org/10.1038/s41551-017-0118-5 | DOI Listing |
ACS Sens
September 2025
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
We present a bioassay platform that leverages the lasing threshold distribution in a microlaser ensemble (ME), consisting of hundreds of individual microlasers, to measure analyte concentrations in solution. An ME is formed by placing dye-doped microbeads in a micro Fabry-Perot cavity. The microbeads are surface-modified with biorecognition molecules to capture analytes, while the quenchers resulting from the presence of the analytes on the microbeads' surfaces increase the lasing thresholds of the microlasers.
View Article and Find Full Text PDFMicrosyst Nanoeng
July 2025
Department of Electrical Engineering and Computer Science, and Center for Wireless Integrated MicroSensing and Systems (WIMS²), University of Michigan, Ann Arbor, MI, 48109, USA.
Many environmental, industrial, and security applications demand in-field analysis of chemical vapors. Whereas microscale gas chromatographs (µGCs) are promising candidates, reliable in-field chemical analysis particularly demands repeatability, humidity tolerance, and in-field reference. Using a µGC with substantial monolithic integration (of preconcentrators, separation columns, and capacitive and photoionization detectors), this paper reports chip-level and system-level advancements towards reliable chemical analysis.
View Article and Find Full Text PDFPLoS One
July 2025
Center for Wireless Integrated MicroSensing and Systems (WIMS2), University of Michigan, Ann Arbor, Michigan, United States of America.
Fluids sampled from the gastrointestinal (GI) tract are of interest for evaluating the bioequivalence of oral medications, and more generally for evaluating GI-related diseases, and for profiling the individual gut microbiome. Existing options for capturing multiple fluid samples from specific locations in the GI tract are limited and invasive, particularly for the small intestine. Here, we report the development of an ingestible capsule for the collection of multiple fluid samples along the GI tract; we additionally report the use of data from sensors within the capsule to determine the sampling regions.
View Article and Find Full Text PDFACS Omega
May 2025
Department of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan 48109, United States.
A novel framework is proposed that combines multiresonance biosensors with machine learning (ML) to significantly enhance the accuracy of parameter prediction in biosensing. Unlike traditional single-resonance systems, which are limited to one-dimensional data sets, this approach leverages multidimensional data generated by a custom-designed nanostructurea periodic array of silicon nanorods with a triangular cross section over an aluminum reflector. High bulk sensitivity values are achieved for this multiresonant structure, with certain resonant peaks reaching up to 1706 nm/RIU.
View Article and Find Full Text PDFBiosens Bioelectron
March 2025
Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA; Center for Wireless Integrated MicroSensing and Systems (WIMS(2)), University of Michigan, Ann Arbor, MI, 48109, USA; Max Harry Weil Institute for Critical Care Research and Innovation, University of Michigan, A
Circulating tumor cells (CTCs) in the bloodstream are important biomarkers for clinical prognosis of cancers. Current CTC identification methods are based on immuno-labeling, which depends on the differential expression of specific antigens between the cancer cells and white blood cells. Here we present an antigen-independent CTC detection method utilizing a deep-learning-assisted single-cell biolaser.
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