High Throughput Determination of Inorganic Arsenic in Rice Using Hydride Generation-ICP-MS

Tianjin University researchers develop an advanced AI model to enhance food safety.

A recent study explores a novel approach for improving data interpretation to provide a better understanding of food properties.

This research investigates the application of laser-induced breakdown spectroscopy (LIBS) and machine learning (ML) for detecting elemental composition of food, using rice as an example.

A study published in the International Journal of Dairy Technology by lead author Mark A. Fenelon and his team at Teagasc Food Research Centre and University College Dublin demonstrates that ATR-FT-IR spectroscopy can effectively monitor heat-induced structural changes in milk proteins and colloidal calcium phosphate, offering valuable insights for optimizing dairy product stability and quality.

A new study published in the Journal of Dairy Science demonstrates that FT-MIR spectroscopy can effectively authenticate farming practices and dairy systems in Parmigiano Reggiano production but has limited ability to verify animal welfare parameters.

Near-infrared spectroscopy was recently used to estimate sweetness and total soluble solids content in cherry tomatoes.