A D-alanine (D-Ala) sensor for the monitoring of a fermentation process was developed using flow injection analysis (FIA). The FIA system consisted of a D-amino acid oxidase (D-AAOx) reactor, a Pyruvate oxidase (PyOx) electrode and a contrast electrode in the flow cell, and through the oxidation of D-amino acids in the D-AAOx reactor, pyruvic acid was formed only from D-Ala. The pyruvic acid was further oxidized with PyOx via the D-AAOx reaction. The amount of oxygen consumed in the PyOx reaction was proportional to the amount of D-Ala. It was possible to continuously repeat the assay up to 60 times at pH 6.8 and a flow rate of 0.18-ml min(-1). A linear relationship was obtained in the range of 0.1-1 mM D-Ala with a correlation coefficient of 0.987 and the detection limit was 0.05 mM. The relative standard deviation (R.S.D.) was 4.9% (n=5) for 0.5 mM D-Ala. The D-Ala content in some fish sauces was also determined using the proposed sensor system. The results obtained indicated a linear relationship between the amounts of D-Ala determined by the proposed sensor system and the conventional method. From the results, even if the substrate specificity of the enzyme (D-AAOx) was low, it was evident that the concentration of the original material (D-Ala) could be determined specifically when the first reaction product was changed by the second reaction (PyOx).
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http://dx.doi.org/10.1016/s0956-5663(03)00200-8 | DOI Listing |
Expert Opin Drug Deliv
January 2025
Vladimir Zelman Center for Neurobiology and Brain Rehabilitation, Moscow, Russia.
Introduction: The pursuit of linear dosage in pharmacy is essential for achieving consistent therapeutic release and enhancing patient compliance. This review provides a comprehensive summary of zero-order drug delivery systems, with a particular focus on reservoir-based systems emanated from different microfabrication technologies.
Areas Covered: The consideration of recent advances in drug delivery systems is given to encompass the key areas including the importance of achieving a constant drug release rate for therapeutic applications.
ACS Appl Mater Interfaces
January 2025
Centre for Robotics and Automation, Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Liquid metals are highly conductive like metallic materials and have excellent deformability due to their liquid state, making them rather promising for flexible and stretchable wearable sensors. However, patterning liquid metals on soft substrates has been a challenge due to high surface tension. In this paper, a new method is proposed to overcome the difficulties in fabricating liquid-state strain sensors.
View Article and Find Full Text PDFJ Diabetes Sci Technol
January 2025
Unit of Endocrine Diseases and Diabetology, Department of Medicine, ASST Papa Giovanni XXIII, Bergamo, Italy.
Aims: According to the 2023 International Consensus, glucose metrics derived from two-week-long continuous glucose monitoring (CGM) can be extrapolated up to 90 days before. However, no studies have focused on adults with type 1 diabetes (T1D) on multiple daily injections (MDIs) and with second-generation intermittently scanned CGM (isCGM) sensors in a real-world setting.
Methods: This real-world, retrospective study included 539 90-day isCGM data from 367 adults with T1D on MDI therapy.
Front Vet Sci
December 2024
Department of Veterinary Medicine and Animal Sciences, University of Milan, Lodi, Italy.
Welfare studies are increasingly involving the application of Precision Livestock Farming (PLF) sensors, rather than the use of animal-based indicators directly assessed. PLF technology has the advantage to constantly monitor behavior over a long period of time, thus enabling the assessor to identify changes in animal time budgets in real-time. In calves, lying behavior is essential: new-borns have been reported to spend 70-80% of their daily time lying.
View Article and Find Full Text PDFUnderstanding kinase action requires precise quantitative measurements of their activity . In addition, the ability to capture spatial information of kinase activity is crucial to deconvolute complex signaling networks, interrogate multifaceted kinase actions, and assess drug effects or genetic perturbations. Here we developed a proteomic kinase activity sensor platform (ProKAS) for the analysis of kinase signaling using mass spectrometry.
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