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The selectivity of the colorimetric method for Co(II) determination using the nitroso-R-salt (NRS) in samples with complex matrices has been improved. Interferences caused by Cu(II), Fe(II), Fe(III), Mn(II), Al(III) and Ni(II) ions, which were present in the bioleach ate of lithium-ion batteries, have been solved through the sequential addition of masking agents: acetate, fluoride, ethylenediaminetetraacetic acid (EDTA), and strong acids (HSO). The absorbance of the NRS-Co(II) complex was typically measured at 525 nm, but it was also studied at 550 nm due to minimal interferences observed at 550 nm. The sequence of the masking agent's addition showed a significant influence on the interference effect. The optimal sequence was sample, acetate-acetic acid buffer solution with dissolved fluoride, NRS, EDTA and HSO. The proposed method demonstrated robust performance at 550 nm, with a relative standard deviation (RSD) around 2%, and good accuracy (RV% around 100%). The limit of detection (LoD) was 0.1 mg L and the limit of quantification (LoQ) was 0.3 mg L. The linear range extended up to 15 mg L (R = 0.998). Real samples analyzed using the optimized method showed no significant differences when compared to results from atomic absorption spectroscopy, confirming its reliability.
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http://dx.doi.org/10.3390/nano15161264 | DOI Listing |
JMIR Rehabil Assist Technol
September 2025
Department of Computer Science, Faculty of Technology, Art and Design, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Background: Over the past decade, the proportion of the world's population aged ≥65 years has grown exponentially, presenting significant challenges, such as social isolation and loneliness among this population. Assistive technologies have shown potential in enhancing the quality of life for older adults by improving their physical, cognitive, and communication abilities. Research has shown that smart televisions are user-friendly and commonly used among older adults.
View Article and Find Full Text PDFACS Sens
September 2025
School of Physics and Electric Engineering, Linyi University, Linyi 276000, China.
In this study, employing a 2D electrodeposition in situ assembly method, a high-performance HS sensor based on a p-n type CuO-CuFeO heterostructure ordered nanowire arrays was successfully fabricated on silicon substrates. Compared to CuO, CuO-CuFeO nanowire arrays exhibits an ideal interfacial barrier structure and higher initial resistance, with a response to 10 ppm of HS at room temperature (20 ± 3 °C) increased by 225 times and a response time reduced by over 2400 s. The sensor demonstrates exceptional sensitivity (LOD = 10 ppb; response = 234.
View Article and Find Full Text PDFOcul Immunol Inflamm
September 2025
Division of Ophthalmology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Purpose: To describe differences in the expression of selected host biomarkers, by analysing the aqueous humour (AH), cerebrospinal fluid (CSF) and serum of patients with ocular syphilis, both with and without neurosyphilis and HIV infection, to support the diagnosis of ocular syphilis.
Methods: A prospective observational descriptive study was conducted at Tygerberg Academic Hospital in Cape Town, South Africa, from February 1, 2018, to January 31, 2021. The study included all patients aged 18 years or older who presented to the eye clinic with ocular syphilis, provided they had a positive serum Treponema pallidum antibodies (TPA) test, an RPR titre of ≥ 8 and confirmed ocular inflammation.
J Craniofac Surg
September 2025
Department of Breast Plastic Surgery, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shijingshan, Beijing, China.
Background: With the development of artificial intelligence, obtaining patient-centered medical information through large language models (LLMs) is crucial for patient education. However, existing digital resources in online health care have heterogeneous quality, and the reliability and readability of content generated by various AI models need to be evaluated to meet the needs of patients with different levels of cultural literacy.
Objective: This study aims to compare the accuracy and readability of different LLMs in providing medical information related to gynecomastia, and explore the most promising science education tools in practical clinical applications.
JCO Clin Cancer Inform
September 2025
USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA.
Purpose: To evaluate a generative artificial intelligence (GAI) framework for creating readable lay abstracts and summaries (LASs) of urologic oncology research, while maintaining accuracy, completeness, and clarity, for the purpose of assessing their comprehension and perception among patients and caregivers.
Methods: Forty original abstracts (OAs) on prostate, bladder, kidney, and testis cancers from leading journals were selected. LASs were generated using a free GAI tool, with three versions per abstract for consistency.