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This paper presents the development of a multi-sensor platform capable of simultaneous measurement of dissolved oxygen (DO) concentration, glucose and lactate concentrations in a micro-chamber for real-time evaluation of metabolic flux in bovine embryos. A micro-chamber containing all three sensors (DO, glucose, and lactate) was made to evaluate metabolic flux of single oocytes or embryos at different stages of development in ≤ 120 µL of respiration buffer. The ability of the sensor to detect a metabolic shift from oxidative phosphorylation (OXPHOS) to glycolysis was demonstrated in embryos by an ablation of oxygen consumption and an increase in lactate production following addition of oligomycin, an inhibitor of mitochondrial adenosine triphosphate (ATP) synthesis. An increased reliance upon glycolysis relative to OXPHOS was demonstrated in embryos as they developed from morula to hatched blastocysts by a progressive increase in the lactate/oxygen flux ratio, consistent with isolated metabolic assessments reported previously. These studies highlight the utility of a metabolic multi-sensor for integrative real-time monitoring of aerobic and anaerobic energy metabolism in bovine embryos, with potential applications in the study of metabolic processes in oocyte and early embryonic development., (Published by Elsevier B.V.)

The ability to view biological events in real time has contributed significantly to research in the life sciences. While video capture of real time changes in anatomical relationships is important, it is equally important to visualize real time changes in the chemical communications that drive cell behaviors. This paper describes an electrochemical imaging system capable of capturing changes in chemical gradients in live tissue slices. The system consists of a CMOS microchip with 8192 configurable Pt surface electrodes, on-chip potentiostat, on-chip control logic, and a microfluidic device designed to interface with the CMOS chip to support ex vivo tissue experimentation. All data processing and visualization methods, sensor calibrations, microfluidics fabrication, and tissue preparation and handling procedures are described. Using norepinephrine as a target analyte for proof of concept, the system is capable of differentiating concentrations of norepinephrine as low as 8 µM and up to 1024 µM with a linear response and a spatial resolution of 25.5 µm × 30.4 µm. Electrochemical imaging was tested using murine adrenal tissue as a biological model and successfully showed caffeine-stimulated release of catecholamines from live slices of adrenal tissue with temporal sensitivity. This system successfully demonstrates the use of a high-density microelectrode array for electrochemical analysis with high spatiotemporal resolution to gather chemical gradient information in parallel with optical microscopy recordings., (Copyright © 2018. Published by Elsevier B.V.)

This paper presents a label-free affinity-based capacitive biosensor using interdigitated electrodes. Using an optimized process of DNA probe preparation to minimize the effect of contaminants in commercial thiolated DNA probe, the electrode surface was functionalized with the 24-nucleotide DNA probes based on the West Nile virus sequence (Kunjin strain). The biosensor has the ability to detect complementary DNA fragments with a detection limit down to 20 DNA target molecules (1.5aM range), making it suitable for a practical point-of-care (POC) platform for low target count clinical applications without the need for amplification. The reproducibility of the biosensor detection was improved with efficient covalent immobilization of purified single-stranded DNA probe oligomers on cleaned gold microelectrodes. In addition to the low detection limit, the biosensor showed a dynamic range of detection from 1µL -1 to 10 5 µL -1 target molecules (20 to 2 million targets), making it suitable for sample analysis in a typical clinical application environment. The binding results presented in this paper were validated using fluorescent oligomers., (Copyright © 2016 Elsevier B.V. All rights reserved.)