August 13th 2025
Researchers at the National Institute of Technology Rourkela have developed a highly accurate machine learning-assisted FT-IR spectroscopy method to detect and quantify sawdust adulteration in coriander powder, offering a fast and scalable solution to enhance food safety and authenticity.
High Throughput Determination of Inorganic Arsenic in Rice Using Hydride Generation-ICP-MS
A fast and sensitive method using hydride generation (HG) with ICP-MS has been developed for the separation and detection of toxic inorganic arsenic (iAs) in foodstuffs. The iAs measured values in 31 commercial rice products all fell below the current legislative maximum level of 150 µg/kg set by China. Comparing the results obtained by HG-ICP-MS and HPLC-ICP-MS showed comparable limits of detection were achieved.
Total Metals Analysis of Digested Plant Tissue Using an Agilent 4200 Microwave Plasma-AES
July 20th 2015Safe, low cost MP-AES analysis of total metal content of a plant-based reference material following microwave digestion is presented. Elements that are difficult to analyze by FAAS such as B and P were included, with all data acquired in a single run. Accurate determinations over a wide concentration range and with better detection limits and sample throughput compared to FAAS were obtained.