5 Business Insights
Precise and accurate measurements at the regulated levels are an important factor for assuring safe drinking water. U.S. EPA Method 200.91 is the method cited by EPA, Health Canada, and the WHO for the use of graphite furnace atomic absorption spectroscopy (GFAAS). In evaluating a GFAAS system for determination of these elements, it must provide good sensitivity, low noise, limited drift, and accuracy in matrices with high salt content (hard water) that might be found in drinking waters. In this work, the PinAAcle? 900T, with a unique optical system, is evaluated for the use of EPA Method 200.9 for As, Cd, Pb, Se, and Tl in drinking waters.
With an inherent toxicity, a tendency to accumulate in the food chain and a particularly low removal rate through excretion, lead (Pb), cadmium (Cd) and arsenic (As) cause harm to humans even at low concentrations.
When mining for precious metals, ores are extracted from the ground and subjected to various sample preparation procedures in order to remove the metals of interest. A commonly used procedure to isolate metals from the ore is fire-assay, which leaves a matrix-free “button” of the metal. This work will focus on the analysis of precious metals in simulated digested precious metal buttons, with an added emphasis on assessing the lowest limits which can be accurately measured.
A major challenge in the analysis of food samples is the extremely low analyte levels and the very high matrix levels. For many years, graphite furnace atomic absorption spectroscopy (GFAAS) has been a reliable technique and the preferred method for this analysis, especially for the determination of Cd and Pb. This work will focus on the use of GFAAS for the determination of lead and cadmium in a variety of food samples.
Sample preparation is one of the most critical steps in your analytical process. Often accounting for 60% of your analytical timetable, it has a fundamental impact on laboratory throughput and analytical performance. Any errors within the sample preparation process will undermine the quality of your food data at all subsequent stages of your analysis. Here are five tips to improving your sample digestion for food samples.