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Solvent influence on the optical absorption, frontier molecular orbitals, and electronic structure of 1-bromo adamantane.
J Mol Model
January 2025
Applied Nuclear Technology in Geosciences Key Laboratory of Sichuan Province, Chengdu University of Technology, Chengdu, People's Republic of China.
Context: The study of the influence of solvent on 1-bromo adamantane (BAD) exposes prominent solvatochromatic shifts in the optical absorbance and substantial solvent effects on the electronic structure. This facilitates the molecular probe abilities for the BAD with respect to the surrounding environments such as dielectric constant and polarity. BAD exhibits positive solvatochromism for nonpolar solvents and negative solvatochromatic shifts for polar and aromatic solvents.
View Article and Find Full Text PDFCarbon Black Absorption Enhanced Fiber-Optic Photoacoustic Gas Sensing System with Ultrahigh Sensitivity.
Anal Chem
January 2025
School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, Liaoning 116024, China.
A highly sensitive trace gas sensing system based on carbon black absorption enhanced photoacoustic (PA) spectroscopy (PAS) is reported. A carbon black sheet and a fiber-optic cantilever microphone (FOCM) are integrated to form a fiber-optic cantilever spectrophone (FOCS). The gas concentration is obtained by measuring the acoustic wave amplitude generated by the carbon black sheet, which absorbs the laser passing through the interest gas.
View Article and Find Full Text PDFAre ultrasonic tips associated with final irrigation protocols effective in removing biofilms in long oval canals and dentinal tubules?
Clin Oral Investig
January 2025
Department of Restorative Dentistry, Dental Materials, and Endodontics, Bauru School of Dentistry, University of São Paulo, Rua Siqueira Campos, 180, Centro, Vitória da Conquista, Bauru, São Paulo, BA, ZIP: 45.000-455, Brazil.
Objective: This study investigated the associations among endodontic instruments, ultrasonic tips and various final irrigation protocols for removing intracanal and intratubular biofilms in long oval canals.
Methodology: One hundred mandibular premolars inoculated with Enterococcus faecalis were divided into two groups: the control group (CG: n = 10), which received no treatment; and the test groups (n = 30), which included saline (SS), sodium hypochlorite (2.5% NaOCl) and chlorhexidine (2% CHX).
Compact Quantum Cascade Laser-Based Noninvasive Glucose Sensor Upgraded with Direct Comb Data-Mining.
Sensors (Basel)
January 2025
Shunde Innovation School, University of Science and Technology Beijing, Foshan 528399, China.
Mid-infrared spectral analysis has long been recognized as the most accurate noninvasive blood glucose measurement method, yet no practical compact mid-infrared blood glucose sensor has ever passed the accuracy benchmark set by the USA Food and Drug Administration (FDA): to substitute for the finger-pricking glucometers in the market, a new sensor must first show that 95% of their glucose measurements have errors below 15% of these glucometers. Although recent innovative exploitations of the well-established Fourier-transform infrared (FTIR) spectroscopy have reached such FDA accuracy benchmarks, an FTIR spectrometer is too bulky. The advancements of quantum cascade lasers (QCLs) can lead to FTIR spectrometers of reduced size, but compact QCL-based noninvasive blood glucose sensors are not yet available.
View Article and Find Full Text PDFThe Application of an Intelligent -Harvesting Device Based on FES-YOLOv5s.
Sensors (Basel)
January 2025
Key Laboratory of Modern Agricultural Equipment, Ministry of Agriculture and Rural Affairs, Nanjing Institute of Agricultural Mechanization, Nanjing 210014, China.
To address several challenges, including low efficiency, significant damage, and high costs, associated with the manual harvesting of , in this study, a machine vision-based intelligent harvesting device was designed according to its agronomic characteristics and morphological features. This device mainly comprised a frame, camera, truss-type robotic arm, flexible manipulator, and control system. The FES-YOLOv5s deep learning target detection model was used to accurately identify and locate .
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