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The judicious utilization of antibiotics has established a robust bulwark for human health. However, their improper usage has engendered deleterious ramifications on the environment, underscoring the imperative for developing efficacious and cost-effective detection and degradation platforms. This study presents a sulfur-modified iron-cobalt bimetallic single-atom nitrogen-doped carbon catalyst (S-FeCo-NC) with a noncopper active center. In contrast to conventional laccase, which utilizes copper as its active center, the S-FeCo-NC catalyst exhibits multiple enzyme activities, including laccase-like, peroxidase-like, and catalase-like functions, with iron and cobalt serving as the active centers. As a proof of concept, the combined laccase-like and catalase-like functions of S-FeCo-NC were used as independent signal outputs, while a multienzyme cascade dual-mode assay system was designed for the rapid detection of tetracycline (TC) in combination with peroxidase-like enzymes. In this system, oxygen directly participated in the catalytic process of laccase-like as an electron acceptor, while catalase-like peroxidase efficiently catalyzed the production of O from HO. The elevated concentration of O offered a unique advantage for the increased catalytic activity of the laccase-like enzyme, which outputs visually resolved colorimetric signals using stable 4-aminopyridine with oxidized TC. Furthermore, the peroxidase-like activity of S-FeCo-NC catalyzed the generation of OH radicals with strong oxidative properties, and these radicals carried out effective oxidative decomposition of TC. The signal output of the response of the catalytic process was performed using differential pulse cyclic voltammetry, which further improved the sensitivity and accuracy of the detection. The experimental findings demonstrate that the detection system exhibits a favorable response signal to TC within the range of 0.005-500 μM, with its detection range reaching 0.5-500 and 0.005-1.00 μM, respectively, and the detection limit is as low as 0.22 μM and 1.68 nM, respectively. This cascade dual-mode detection system, based on multienzyme activity, has been shown to significantly enhance the catalytic activity of laccase, while also demonstrating stability in a lower detection range. This suggests that it may offer a novel approach for the sensitive detection and degradation of environmental pollutants.
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http://dx.doi.org/10.1021/acs.analchem.5c00743 | DOI Listing |
Appl Radiat Isot
September 2025
Nuclear Engineering Department, School of Mechanical Engineering, Shiraz University, Shiraz, Iran.
Accurate determination of the parameters of each high purity germanium, HPGe detectors ensure the precision of quantitative results obtained from spectrum analysis. This study presents a comprehensive performance evaluation and long-term quality control assessment of a high-purity germanium (HPGe) gamma spectrometry system that has been operational for over 15 years. Key spectrometric measures were recorded, including energy resolution, peak shape ratios, asymmetry, peak-to-Compton ratio, relative efficiency, electronic noise, minimum detectable activity (MDA), and repeatability and reproducibility of the system.
View Article and Find Full Text PDFJ Trace Elem Med Biol
September 2025
Department of Neurobiology, Maj Institute of Pharmacology, Polish Academy of Sciences, Smętna 12, Kraków 31-343, Poland. Electronic address:
Vanadium (V) is a trace element in the environment; it is detected in soil, water, air, dust, and food products. V-containing compounds have shown therapeutic potential in the treatment of diabetes. However, studies on the effects of V on animal behavior remain limited and sporadic.
View Article and Find Full Text PDFPathol Res Pract
September 2025
Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China. Electronic address:
Background: Dermal clear cell sarcoma (DCCS) is a rare malignant mesenchymal neoplasm. Owing to the overlaps in its morphological and immunophenotypic profiles with a broad spectrum of tumors exhibiting melanocytic differentiation, it is frequently misdiagnosed as other tumor entities in clinical practice. By systematically analyzing the clinicopathological characteristics, immunophenotypic features, and molecular biological properties of DCCS, this study intends to further enhance pathologists' understanding of this disease and provide a valuable reference for its accurate diagnosis.
View Article and Find Full Text PDFBiomol Biomed
September 2025
Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Coronary heart disease (CHD) is a leading cause of morbidity and mortality; patients with type 2 diabetes mellitus (T2DM) are at particularly high risk, highlighting the need for reliable biomarkers for early detection and risk stratification. We investigated whether combining the stress hyperglycemia ratio (SHR) and systemic inflammation response index (SIRI) improves CHD detection in T2DM. In this retrospective cohort of 943 T2DM patients undergoing coronary angiography, associations of SHR and SIRI with CHD were evaluated using multivariable logistic regression and restricted cubic splines; robustness was examined with subgroup and sensitivity analyses.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.