The design and development of an automated flow injection instrument for the determination of arsenite [As(III)] and arsenate [As(V)] in natural waters is described. The instrument incorporates solenoid activated self-priming micropumps and electronic switching valves for controlling the fluidics of the system and a miniature charge-coupled device spectrometer operating in a graphical programming environment. The limits of detection were found to be 0.79 and 0.98 microM for As(III) and As(V), respectively, with linear range of 1-50 microM. Spiked ultrapure water samples were analyzed and recoveries were found to be 97%-101% for As(III) and 95%-99% for As(V), respectively. Future directions in terms of automation, optimization, and field deployment are discussed.
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http://dx.doi.org/10.1063/1.3202083 | DOI Listing |
J Pediatr Nurs
January 2025
University of Padua, Laboratory of Studies and Evidence Based Nursing, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padua, Italy.
Purpose: The primary challenge in infant care is developing a comprehensive, rapid, and reliable assessment tool that is minimally dependent on subjective evaluations and applicable in various inpatient settings. This study aims to develop and assess the structural validity of the Infant Nursing Assessment Scale (INA), enabling a comprehensive evaluation of hospitalized newborns and infants.
Design And Methods: A development and validation study based on cross-sectional design was undertaken.
J Med Internet Res
January 2025
School of Business, Innovation and Sustainability, Halmstad University, Halmstad, Sweden.
Background: Recent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. AI systems provide support in several domains of mental health, including early detection, diagnostics, treatment, and self-care. The use of AI systems in care flows faces several challenges in relation to decision-making support, stemming from technology, end-user, and organizational perspectives with the AI disruption of care processes.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
Wageningen University and Research, Hydrology and Environmental Hydraulics Group, 6700 AA Wageningen, The Netherlands.
Recently, the rapid increase in global plastics production has caused various ecological and economic issues, worsened by poor material and waste management. Among the market-based instruments that could help mitigate the environmental impacts of plastics throughout their life-cycle, we evaluate the advantages and limitations of incorporating a cap-and-trade (CAT) system into future policy mixes. Our aim is to inspire further investigation of CAT's feasibility rather than presenting it as the ultimate solution.
View Article and Find Full Text PDFACS Nano
January 2025
Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive 4, Singapore 117585, Singapore.
Metal nanoclusters (NCs), owing to their atomic precision and unique molecule-like properties, have gained widespread attention for applications ranging from catalysis to bioimaging. In recent years, proteins, with their hierarchical structures and diverse functionalities, have emerged as good candidates for functionalizing metal NCs, rendering metal NC-protein conjugates with combined and even synergistically enhanced properties featured by both components. In this Perspective, we explore key questions regarding why proteins serve as complementary partners for metal NCs, the methodologies available for conjugating proteins with metal NCs, and the characterization techniques necessary to elucidate the structures and interactions within this emerging bionano system.
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