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Trace NO detection is essential for the production and life, where the sensing strategy is appropriate for rapid detection but lacks molecular specificity. This investigation proposes a sensing mechanism dominated by surface-scattering to achieve the molecularly-specific detection. Two-dimensional BiOSe is firstly fabricated into a Schottky-junction-based gas-sensor. Applied with an alternating excitation, the sensor simultaneously outputs multiple response signals (i.e., resistance, reactance, and the impedance angle). Their response times are shorter than 200 s at room temperature. In NO sensing, these responses present the detection limit in ppt range and the sensitivity is up to 16.8 %·ppb. This NO sensitivity presents orders of magnitude higher than those of the common gases within the exhaled breath. The impedance angle is involved in the principle component analysis together with the other two sensing signals. Twelve kinds of typical gases containing NO are acquired with molecular characteristics. The change in dipole moment of the target molecule adsorbed is demonstrated to correlate with the impedance angle via surface scattering. The proposed mechanism is confirmed to output ultra-sensitive sensing responses with the molecular characteristic.
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http://dx.doi.org/10.1038/s41467-024-50443-5 | DOI Listing |
ACS Appl Bio Mater
September 2025
Biomedical Engineering Faculty, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15916-34311, Iran.
The development of high-performance neural interfaces is critical for advancing brain-machine communication and treating neurological disorders. A major challenge in neural electrode design is achieving a seamless biological-electronic interface with optimized electrochemical properties, mechanical stability, and biocompatibility. In this study, we introduce a hierarchical micronanostructured poly(3,4-ethylenedioxythiophene)-polydopamine (PEDOT-PDA) coating on titanium nitride (TiN) microelectrodes engineered to enhance electrophysiological signal recording and neural integration.
View Article and Find Full Text PDFGeriatr Gerontol Int
September 2025
Department of Internal Medicine, Chung-Ang University Hospital, Seoul, South Korea.
Aim: Patients undergoing maintenance hemodialysis (MHD) often have multiple comorbidities and are vulnerable to minor stressors that frequently result in hospitalization. Recent advances have enabled the easy estimation of body composition in clinical settings. This study retrospectively investigated changes in body composition associated with hospitalization in patients receiving MHD.
View Article and Find Full Text PDFNutr Metab Cardiovasc Dis
August 2025
Department of Biomedical Sciences, University of Padua, Padua, Italy.
Background And Aim: The development of appropriate bioimpedance-based equations for assessing body composition requires high-standard reference methods. Conversion factors have been proposed to derive skeletal muscle mass (SMM) from dual-energy x-ray absorptiometry (DXA) outputs. The objective of this study was to present a predictive equation for estimating SMM starting from bioelectrical impedance analysis (BIA) and using DXA as criterion.
View Article and Find Full Text PDFJ Frailty Sarcopenia Falls
September 2025
Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Ireland.
Phase Angle (PA), derived from bioelectrical impedance analysis, reflects cellular health and may indicate physiological resilience in ageing. We examined the relationship between PA and blood pressure (BP) recovery following an orthostatic challenge in 107 older adults attending a specialist falls clinic. Participants underwent active stand testing with continuous, beat-to-beat BP monitoring over 180 seconds.
View Article and Find Full Text PDFMedicine (Baltimore)
August 2025
Department of Nephrology and Organ Transplant Unit, Specialties Hospital, National Western Medical Centre, Mexican Social Security Institute, Guadalajara, Jalisco, Mexico.
Bioelectrical impedance permits the measurement of variables related to morbidity and mortality in cardiac surgery patients. The preoperative phase angle (PhA) is one of the variables associated with increased mortality, prolonged duration of invasive mechanical ventilation, and prolonged hospital stay. However, its relationship with acute kidney injury (AKI) is unknown.
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