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A candidate certified reference material (CRM) for multiple shellfish toxins (domoic acid, okadaic acid and dinophysistoxins, pectenotoxins, yessotoxin, azaspiracids and spirolides) has been prepared as a freeze-dried powder from mussel tissues (Mytilus edulis). Along with the certified values, the most important characteristics for a reference material to be fit-for-purpose are homogeneity and stability. Acceptable between-bottle homogeneity was found for this CRM. Within-bottle homogeneity was assessed using domoic acid, and it was shown that repeated subsampling of the CRM can be performed precisely down to 0.35 g. Both short- and long-term stability studies carried out under isochronous conditions demonstrated excellent stability of the various toxins present in the material. While degradation of some analytes was observed at +60°C in short-term studies, it was determined that shipping at ambient temperature is adequate. No instability was detected in long-term stability studies, and it was shown that the material can be held at +18°C safely for up to 1 year. To guarantee stability of the CRM over its lifetime the stock will be maintained at -20°C. The results of the homogeneity and stability testing show that CRM-FDMT1 is appropriate for its intended use in quality assurance and quality control of shellfish toxin analysis methods.
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http://dx.doi.org/10.1007/s00216-011-4787-8 | DOI Listing |
Crit Care Sci
September 2025
Brazilian Biosciences National Laboratory, Brazilian Center for Research on Energy and Materials - Campinas (SP), Brazil.
Objective: To develop a score (Palineo score) to identify the palliative care needs of newborn patients admitted to a Brazilian neonatal intensive care unit of a tertiary maternity hospital that serves as a reference center for high-risk pregnancies, ensuring timely follow-up by a specialist.
Methods: Patients were assessed by three specialists using a questionnaire that included the same clinical elements as those used for the Palineo score but did not assign scores to the criteria. The score was determined by the consensus reached by the specialists.
Braz Oral Res
September 2025
Universidade Positivo, School of Health Sciences, Graduate Program in Dentistry, Curitiba, PR, Brazil.
This study assessed the effect of saliva exposure on roughness (Ra) and Vickers hardness (VHN) of two direct restorative materials, enamel, and dentin adjacent to the restorations. Enamel and dentin cavities in molars (n = 10) were restored with a) bulk-fill resin composite (Tetric N-Flow Bulk Fill, BF) with the application of a universal adhesive (Tetric N-Bond Universal) and b) alkasite restorative material (Cention N, CN) with and without the application of a universal adhesive. After 24 h (baseline), surface roughness and hardness of the restorative material and dental tissues were assessed at 100 μm from the tooth/restoration interface.
View Article and Find Full Text PDFBraz Oral Res
September 2025
Pontifícia Universidade Católica de Minas Gerais - PUC-Minas, Institute of Biological and Health Sciences, Dentistry Department, Belo Horizonte, MG, Brasil.
The contamination of dental curing light tips was evaluated before and after treatment and after their use and disinfection. The influence of a plastic protective barrier over the flexural strength and the modulus of elasticity of resin composites were also analyzed. Microbiological sampling was conducted at initial contamination (T0), in Log 10 CFU/4 mL; after dental treatment (T1); and after disinfection with 70% ethanol (v/v) (T2).
View Article and Find Full Text PDFBraz Oral Res
September 2025
Universidade de São Paulo - USP, Bauru School of Dentistry, Department of Pediatric Dentistry, Orthodontics and Public Health, Bauru, SP, Brazil.
This in vitro study evaluated the effect of proanthocyanidin, palm oil, and vitamin E against initial erosion. Bovine enamel blocks (n = 140) were divided into 14 groups: C+_SnCl2/NaF/Am-F-containing solution (positive control); C-_deionized water (negative control); O_palm oil; P6.5_6.
View Article and Find Full Text PDFPhys Rev Lett
August 2025
Southern University of Science and Technology, Department of Physics, State Key Laboratory of Quantum Functional Materials, and Guangdong Basic Research Center of Excellence for Quantum Science, Shenzhen 518055, China.
Quantum computing is expected to provide an exponential speedup in machine learning. However, optimizing the data loading process, commonly referred to as "quantum data embedding," to maximize classification performance remains a critical challenge. In this Letter, we propose a neural quantum embedding (NQE) technique based on deterministic quantum computation with one qubit (DQC1).
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