The evaluation of histamine content in fish and fishery products, responsible for scombroid poisoning, is essential to guarantee the safety of food. EU regulation requires validated analytical methods to ensure the verification of compliance with food law in official control activity. To this aim a previous gradient RP-HPLC method with DAD detection was modified and validated, according to international guidelines. The reliability of results was tested by analysing fish reference materials within the participation in European proficiency tests. The method has been used for the analysis of real samples consisting of several fish-based products with considerable differences in matrix composition. This characteristic is of great relevance to be able of apply the method in the field of official control.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.foodchem.2016.05.111 | DOI Listing |
Health Policy Plan
January 2025
Department of Anthropology, Durham University, South Road, Durham, DH1 3LE, UK.
Substandard and falsified (SF) medical products are a serious health and economic concern that disproportionately impact low- and middle-income countries and marginalized groups. Public education campaigns are demand-side interventions that may reduce risk of SF exposure, but the effectiveness of such campaigns, and their likelihood of benefitting everybody, is unclear. Nationwide pilot risk communication campaigns, involving multiple media, were deployed in Ghana, Nigeria, Sierra Leone, Uganda in 2020-2021.
View Article and Find Full Text PDFBMC Res Notes
January 2025
Non-Communicable Diseases Research Center, Department of Epidemiology, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
Background: Thyroid cancer is one of the most common cancers of the endocrine system. The incidence of this cancer has increased in many countries. Many cases of thyroid cancer do not have any symptoms.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFSci Data
January 2025
Universities Space Research Association, Washington, DC, USA.
During the COVID-19 pandemic changes in human activity became widespread through official policies and organically in response to the virus's transmission, which in turn, impacted the environment and the economy. The pandemic has been described as a natural experiment that tested how social and economic disruptions impacted different components of the global Earth System. To move this beyond hypotheses, locally-resolved, globally-available measures of how, where, and when human activity changed are critically needed.
View Article and Find Full Text PDFEur J Sport Sci
January 2025
Graduate Program in Human Movement Sciences, Institute of Health Sciences, Federal University of Pará, Belem, Brazil.
Executive functioning (EF) in referees is associated with their decision-making during a match and can be affected by mental fatigue (MF), a psychobiological state induced by prolonged periods of cognitive activity or high cognitive demand within a short timeframe. Therefore, the aim of this study was to investigate the impact of MF on EF and the perception of effort during a physical task for football referees. Twelve male professional football referees were recruited (32 ± 7.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!