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The study highlights the design, synthesis, and photophysical evaluation of two pyrimidine-based charge transfer probes (compounds and ) for the selective detection of uric acid (UA) in aqueous environments and biological fluids. Both probes exhibited distinct spectral responses attributable to their structural differences, with compound demonstrating superior sensitivity. Quantitative analysis revealed a strong linear correlation ( = 0.998) between UA concentration and fluorescence intensity, enabling detection as low as 0.12 μM, which is well within the clinically relevant range. Mechanistic investigations confirmed the indispensable role of the pyrimidine unit in forming multipoint hydrogen-bonding interactions with UA, which induced spectroscopic changes and disrupted probe aggregates. Environmental factors such as pH, polarity, and temperature were systematically examined, revealing that probe performance was optimal at moderate pH (4-8) and 60-70% water content, with elevated temperatures (50 °C) enhancing the response due to the dissociation of supramolecular aggregates. Screening in diluted human urine validated the practical applicability of the probe, demonstrating high recovery rates and minimal matrix interference. The compound was also utilized for the detection of UA in HeLa cells. Also, chemically modified paper strips were developed for rapid, on-site detection of UA.
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http://dx.doi.org/10.1021/acsabm.5c00038 | DOI Listing |
Arch Esp Urol
August 2025
Department of Urology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, 214000 Wuxi, Jiangsu, China.
Background: A plethora of studies have demonstrated that the level of uric acid (UA) and gout are the risk factors for erectile dysfunction (ED). However, the causal effect of UA level and gout on ED is still unclear. This Mendelian randomization (MR) study aims to examine the bidirectional causality between ED and UA levels as well as gout.
View Article and Find Full Text PDFBiosaf Health
August 2025
Public Health Emergency Management Innovation Center, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, State Key Laboratory of Respiratory Health and Multimorbidity, Key Laboratory of Pathogen Infection Prevention and Control (Pek
Progression of acute respiratory infection (ARI) to pneumonia increases severity and healthcare burden. Limited evidence exists on using machine learning to identify predictors from demographics, clinical, and pathogen detection data. This study aimed to identify pneumonia predictors in ARI patients using machine learning methods.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
August 2025
Department of Combination of Mongolian Medicine and Western Medicine Stomatology, Affiliated Hospital of Inner Mongolia Minzu University, Tongliao 028043, China. Electronic address:
To achieve non-invasive early diagnosis and severity monitoring of periodontal disease, this study employed silver nanoparticles as a surface-enhanced Raman Scattering (SERS) substrate for the detection and analysis of salivary SERS spectra from a control group (periodontal health group) and groups with periodontal disease of varying severities (including gingivitis, as well as mild, moderate, and severe periodontitis). The results demonstrated significant differences in salivary SERS spectra between the control group and the gingivitis group, between the control group and the mild periodontitis group, and between the control group and groups with periodontal disease of different severities. Subsequently, based on the dual screening criteria of Variable Importance in Projection (VIP) ≥ 1 and P < 0.
View Article and Find Full Text PDFACS Omega
August 2025
VinUni-Illinois Smart Health Center, VinUniversity, Hanoi 100000, Vietnam.
Accurate and accessible glucose detection is essential for clinical diagnostics, point-of-care testing, food safety, and biosensing applications. In this study, we present a simple, scalable, and dual-mode glucose sensor that integrates commercial potassium permanganate (KMnO) with glucose oxidase to enable sensitive and selective detection in the clinically critical range of 1-5 mM. Leveraging the strong oxidative power and distinct optical characteristics of KMnO, the sensor operates via both absorbance measurement at 400 nm and visual colorimetric analysis, displaying a clear color change from purple to pink and yellow upon reaction with glucose.
View Article and Find Full Text PDFJ Fluoresc
September 2025
Department of Chemistry, Bodoland University, Kokrajhar, BTR, Assam Pin, Kokrajhar, 783370, Assam, India.
The real-time and selective detection of dopamine (DA) in complex biological systems remains a critical challenge due to its low physiological concentrations and interference from structurally similar biomolecules such as ascorbic acid and uric acid. Traditional analytical techniques often fall short in terms of specificity, cost-effectiveness, and ease of deployment in biological matrices. To address this gap, we developed a highly selective fluorescent nanosensor based on bentonite-supported Cu-based bimetallic nanoparticles (B/nZVCu-Ni/Ag), synthesized via a green route using Lawsonia inermis extract.
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