An electrochemical sensor for sensitive detection of acetaminophen (AAP) was developed by electropolymerizing Patton and Reeder's reagent at carbon paste electrode (CPE). Modification improves the redox kinetics of AAP with increased current sensitivity. A similar modification at multiwall carbon nanotube (MWCNT) modified CPE did not result in an impressive charge transfer. Electrochemical impedance spectroscopy (EIS) of the bare and modified electrodes investigated imply a least charge transfer resistance at Patton and Reeder's reagent modified carbon paste electrode (MCPE/PR) as compared to bare CPE and MWCNT modified electrode. Differential pulse voltammetric (DPV) study at MCPE/PR electrode did not suffer any interference from its hydrolytic degradation product 4-aminophenol (4-AP) even in 1000-fold excess of its concentration and enables its detection simultaneously. A linear dynamic range of 0.7-100 μM with detection limit (S/N=3) of 0.53 μM was obtained for AAP. This modified electrode is easy to prepare, cheap, and having good reproducibility and stability. The analytical performance of the modified electrode is assessed by successfully applying it for the estimation of acetaminophen in different pharmaceutical samples and spiked biological fluid.
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http://dx.doi.org/10.1016/j.colsurfb.2012.06.020 | DOI Listing |
Geroscience
February 2024
School of Life Science, Shanghai University, Shanghai, 200444, China.
Amyloid-β (Aβ) and tau are important biomarkers to predict the progression of cognitively unimpaired (CU) to dementia due to Alzheimer's disease (AD), according to the diagnosis framework from the US National Institute on Aging and the Alzheimer's Association (NIA-AA). However, it is clinically difficult to predict those subjects who were already with Aβ positive (A +) or tau positive (T +). As a typical characteristic of neurodegeneration in the diagnosis framework, the hypometabolism of the posterior cingulate cortex (PCC) has significant clinical value in the early prediction and prevention of AD.
View Article and Find Full Text PDFGeroscience
August 2022
Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China.
Exploring individual hallmarks of brain ageing is important. Here, we propose the age-related glucose metabolism pattern (ARGMP) as a potential index to characterize brain ageing in cognitively normal (CN) elderly people. We collected F-fluorodeoxyglucose (F-FDG) PET brain images from two independent cohorts: the Alzheimer's Disease Neuroimaging Initiative (ADNI, N = 127) and the Xuanwu Hospital of Capital Medical University, Beijing, China (N = 84).
View Article and Find Full Text PDFNat Med
May 2021
Clinical Memory Research Unit, Lund University, Lund, Sweden.
Alzheimer's disease (AD) is characterized by the spread of tau pathology throughout the cerebral cortex. This spreading pattern was thought to be fairly consistent across individuals, although recent work has demonstrated substantial variability in the population with AD. Using tau-positron emission tomography scans from 1,612 individuals, we identified 4 distinct spatiotemporal trajectories of tau pathology, ranging in prevalence from 18 to 33%.
View Article and Find Full Text PDFMol Neurobiol
July 2019
Translational Neuroimaging Laboratory (TNL), McGill Center for Studies in Aging (MCSA), Douglas Mental Health Research Institute, 6825, boul. LaSalle Blvd., Montréal, QC, H4H1R3, Canada.
We investigated the association between amyloid-β deposition and white matter (WM) integrity as a determinant of brain glucose hypometabolism across the Alzheimer's disease (AD) spectrum. We assessed ninety-six subjects (27 cognitively normal, 49 mild cognitive impairment, and 20 AD dementia) who underwent [F]FDG and [F]Florbetapir positron emission tomography (PET) as well as magnetic resonance imaging (MRI) with diffusion tensor imaging. Among the regions with reduced fractional anisotropy (FA) in the AD group, we selected a voxel of interest in the angular bundle bilaterally for subsequent analyses.
View Article and Find Full Text PDFSci Rep
September 2018
Department of Medical Imaging and Radiological Sciences and Healthy Aging Research Center, Chang Gung University, Taoyuan, Taiwan, ROC.
The change in hypometabolism affects the regional links in the brain network. Here, to understand the underlying brain metabolic network deficits during the early stage and disease evolution of AD (Alzheimer disease), we applied correlation analysis to identify the metabolic connectivity patterns using F-FDG PET data for NC (normal control), sMCI (stable MCI), pMCI (progressive MCI) and AD, and explore the inter- and intra-hemispheric connectivity between anatomically-defined brain regions. Regions extracted from 90 anatomical structures were used to construct the matrix for measuring the inter- and intra-hemispheric connectivity.
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