Acrylamide is a water-soluble toxicant found in high-protein and carbohydrate-containing foods exposed to high temperature like bread as the staple foodstuff. This toxicant is mainly formed via Maillard reaction. The potential adverse effects of acrylamide especially possible carcinogenicity in human through dietary exposure necessitate its monitoring. Regarding the existence of its precursors in wheat bread formulation as well as extreme consumption of bread by most population and diversity of bread types, its acrylamide level needs to be investigated. The indicative value for acrylamide in wheat bread is set at 80 μg/kg. Consequently, its determination using liquid chromatography-tandem mass spectrometry (LC-MS/MS), gas chromatography-mass spectrometry (GC-MS), or capillary electrophoresis can be helpful considering both the risk assessment and quality control aspects. In this respect, methods based on LC-MS/MS show good recovery and within laboratory repeatability with a limit of detection of 3-20 μg/kg and limit of quantification of 10-50 μg/kg which is suitable for the immediate requirements for food product monitoring and calculation of consumer exposure.
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http://dx.doi.org/10.1007/s11356-021-12775-3 | DOI Listing |
J Neurosurg
January 2025
13Department of Neurosurgery, Shimane Prefectural Central Hospital, Shimane, Japan.
Objective: Aneurysmal subarachnoid hemorrhage (SAH) is associated with high morbidity and mortality rates. In particular, functional outcomes of SAH caused by large or giant (≥ 10 mm) ruptured intracranial aneurysms are worsened by high procedure-related complication rates. However, studies describing the risk factors for poor functional outcomes specific to ruptured large/giant aneurysms are sparse.
View Article and Find Full Text PDFJ Occup Environ Med
January 2025
Department of Biostatistics, Florida International University, Miami, FL, United States.
Objective: To assess factors influencing Neonatal Respiratory Distress Syndrome (RDS) risk, incorporating maternal demographics, behaviors, medical conditions, pregnancy-related factors, and PM2.5 speciation pollutants exposures.
Methods: Using Florida de-identified birth records, logistic regression analyses were conducted to assess associations between maternal exposure to PM2.
Otol Neurotol
February 2025
Department of Otolaryngology-Head and Neck Surgery.
Objective: To compare fall risk scores of hearing aids embedded with inertial measurement units (IMU-HAs) and powered by artificial intelligence (AI) algorithms with scores by trained observers.
Study Design: Prospective, double-blinded, observational study of fall risk scores between trained observers and those of IMU-HAs.
Setting: Tertiary referral center.
PLoS One
January 2025
College of Business, Southern University of Science and Technology, Shenzhen, China.
In credit risk assessment, unsupervised classification techniques can be introduced to reduce human resource expenses and expedite decision-making. Despite the efficacy of unsupervised learning methods in handling unlabeled datasets, their performance remains limited owing to challenges such as imbalanced data, local optima, and parameter adjustment complexities. Thus, this paper introduces a novel hybrid unsupervised classification method, named the two-stage hybrid system with spectral clustering and semi-supervised support vector machine (TSC-SVM), which effectively addresses the unsupervised imbalance problem in credit risk assessment by targeting global optimal solutions.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Department of Breast, Haining Maternity and Child Health Care Hospital, Haining, Zhejieng, China.
Endosomes play a pivotal role in cellular biology, orchestrating processes such as endocytosis, molecular trafficking, signal transduction, and recycling of cellular materials. This study aims to construct an endosome-related gene (ERG)-derived risk signature for breast cancer prognosis. Transcriptomic and clinical data were retrieved from The Cancer Genome Atlas and the University of California Santa Cruz databases to build and validate the model.
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