Glucose oxidase immobilized in a transparent silicate gel prepared by a sol-gel method was used as a simple solid-state optical biosensor for glucose. The sensor was based upon the measurement of initial rates of reduction of the FAD prosthetic group of the enzyme in the presence of various concentrations of glucose. The analytical range of the sensor was 1-100 mM, and the measurement time was 2 min. The enzyme was considerably protected by the silicate matrix against leaching, thermal inactivation and even H2O2-dependent inactivation. The sensor was stable in daily use for 6 months.
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Anal Chem
January 2025
State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, College of Energy, Discipline of Intelligent Instrument and Equipment, Cancer Center and Department of Breast and Thyroid Surgery, Department of Ultrasound, Xiang'an Hospital of Xiamen University, School of Medicine, Laboratory Animal Center Xiamen University, Xiamen University, Xiamen 361005, China.
With the increasing incidence of thyroid cancer worldwide and the increasing demand for surgery, the risk of parathyroid injury is also increasing, which will lead to postoperative hypoparathyroidism (HP) and hypocalcemia. In order to improve the quality of life of patients after surgery, there is an urgent need to develop a novel platform that can identify the parathyroid gland immediately during surgery. The parathyroid gland promotes the increase of blood calcium concentration by secreting parathyroid hormone (PTH).
View Article and Find Full Text PDFIn this paper, we quantitatively compare the autofluorescence of stoichiometric low pressure chemical vapor deposition (LPCVD) silicon nitride and sputtered tantalum pentoxide waveguides at a pump wavelength of 532 nm. Through a direct quantitative characterization of comparable waveguides formed from the two films, we find no observable autofluorescence for tantalum pentoxide waveguides. Our experimental sensitivity is limited by Raman scattering of the pump into our detection band and our measurements indicate that the autofluorescence of the tantalum pentoxide waveguides is more than 600 × smaller than that of silicon nitride waveguides.
View Article and Find Full Text PDFPutrescine is a kind of physical diamine that is closely related to food deterioration and food quality safety. This study employs a novel fiber optic biosensor based on S-tapered and waist extension techniques, as well as localized surface plasmon resonance (LSPR), to detect putrescine accurately. The gold nanoparticles (AuNPs) are fixed on the fiber to excite LSPR.
View Article and Find Full Text PDFFront Bioeng Biotechnol
January 2025
Research Center for Electronic and Optical Materials, National Institute for Materials Science (NIMS), Tsukuba, Japan.
Artificially designed, functional nanostructured surfaces, called metasurfaces, are an emerging platform for biosensing. Two major types of metasurface biosensors have been reported: one is based on resonant-wavelength shift and the other is specialized for fluorescence (FL) detection. The all-dielectric metasurfaces that composed of periodic arrays of silicon nanocolumns have a series of optical magnetic-mode resonances, some of which were found to significantly enhance capability for FL detection of diverse target biomolecules, ranging from nucleic acid to antigens and antibodies.
View Article and Find Full Text PDFAnal Chem
January 2025
Hunan Provincial Key Laboratory of Micro & Nano Materials Interface Science, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China.
Microelectrodes offer exceptional sensitivity, rapid response, and versatility, making them ideal for real-time detection and monitoring applications. Photoelectrochemical (PEC) sensors have shown great value in many fields due to their high sensitivity, fast response, and ease of operation. Nevertheless, conventional PEC sensing relies on cumbersome external light sources and bulky electrodes, hindering its miniaturization and implantation, thereby limiting its application in real-time disease monitoring.
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