Inductively Coupled Plasma – Mass Spectrometry (ICP-MS) allows the analysis of a variety of food samples accurately for elements present at both trace and nutritional levels during the same analysis. PerkinElmer has been at the forefront of ICP-MS technology – from the very first commercial ICP-MS back in 1983 to the first instrument bringing together the detection limits of a true reaction cell and the simplicity of a collision cell in 2010, and most recently, the industry’s first four-quadrupole system – nearly four decades of patents, innovations, and accolades.
The elemental content of food products is very important, both in relation to nutritional and toxic elements. Nutritional elements can either be native to the food substance or can be added to enhance the health benefits. Toxic elements can enter food either through the environment or processing during production. Hopefully, toxic elements will be present at extremely low levels, while nutritional elements will be present at optimal levels. The elemental capabilities and dynamic range of inductively coupled plasma mass spectrometry (ICP-MS) make it ideally suited for the analysis of food materials. This work has demonstrates the ability of PerkinElmer’s NexION 300/350X ICP-MS to effectively measure macro-level nutritional elements in the same analysis run as lower-level elements, without having to dilute the samples.
This work has demonstrates the ability to separate and measure arsenic compounds present in rice. Sample preparation involves a non-aggressive extraction procedure to preserve the species as much as possible. The chromatography separates all species in less than four minutes using an isocratic method and is unaffected by the rice matrix. The results of the separation were validated by comparing the speciated and total results. These results prove that the combination of Flexar HPLC and NexION ICP-MS is suitable for the analysis of different forms of arsenic in white rice.
This work demonstrates the ability to separate and measure arsenic compounds present in brown rice samples by selection of proper HPLC and ICP-MS conditions. The resultsof this work correlate very well with those of the other organizations participating in the study. These results prove that the combination of Flexar HPLC and NexION ICP-MS issuitable for the analysis of different forms of arsenic in brown rice.
This work focuses on the analysis of grains - both the low-level contaminants as well as the macro-level nutritional elements - using ICP-MS.
Rice represents a dietary staple for over half of the world's population. However, in recent years, concerns have been raised over the presence of high levels of arsenic (As), where this carcinogenic metalloid can be accumulated at levels far exceeding ambient concentrations. Since China is the world's largest producer of rice, the Chinese government released a national standard method in 2014 for food safety – GB 5009.11– to aid the evaluation of As species in rice and rice products. In this document, HPLC-ICP-MS is identified as the preferred analytical technique. In this study, five arsenic species were characterized in a commercial rice sample and certified reference material using a gradient anion-exchange method in accordance with GB 5009.11. The analysis was performed using a PerkinElmer NexSAR™ HPLC-ICP-MS speciation solution, consisting of a NexSAR inert HPLC coupled to a NexION® ICP-MS.
This work demonstrates the ability of PerkinElmer’s ICP-MS to effectively measure macro-level nutritional elements in the same analysis run as lower-level elements,without having to dilute the samples. The agreement between experimental and certified results for NIST® 1549 Milk Powder demonstrates the accuracy of the analysis. Instrument design characteristics eliminate deposition on the ion optics, leading to long-term stability in high-matrix samples, while permitting trace levels to be accurately measured.
Milk and milk powder are used widely in the food industry for the production of other foods. Because of its nutritional importance and widespread consumption, regulations in many countries necessitate that the quality of the milk is routinely monitored.
Owing to the toxicity of heavy metals, it is increasingly important to test cannabis flowers and other cannabis derivatives so that patient and consumer safety is maintained as the use of cannabis becomes more common. This need has translated into an increasing demand for testing cannabis flowers and other cannabis derivatives for toxins such as the heavy metals cadmium (Cd), lead (Pb), arsenic (As), and mercury (Hg). In this application note, we present data to illustrate the successful validation of the Titan MPS™ Microwave Sample Preparation System and the NexION® ICP-MS for the determination of heavy metals in cannabis flower according to the validation protocols set in USP General Chapter <233>, which are commonly used for evaluation of the levels of elemental impurities in samples.
In this study, a total of 75 Italian red wines from different regions and grape types were analyzed by ICP-MS to determine whether elemental profiles correlate to the region of origin. Results were imported into TIBCO Spotfire® software for statistical calculations and to display geospatial distribution.
This work has demonstrates a simple, rugged, fast method for arsenic (As) speciation in apple juice samples. To further validate the method, the analyses were repeated over multiple days on different instruments with columns from different lots.
Rice represents a dietary staple for over half of the world's population. However, in recent years, concerns have been raised over the presence of high levels of arsenic (As), where this carcinogenic metalloid can be accumulated at levels far exceeding ambient concentrations. Since China is the world's largest producer of rice, the Chinese government released a national standard method in 2014 for food safety – GB 5009.11– to aid the evaluation of As species in rice and rice products. In this document, HPLC-ICP-MS is identified as the preferred analytical technique. In this study, five arsenic species were characterized in a commercial rice sample and certified reference material using a gradient anion-exchange method in accordance with GB 5009.11. The analysis was performed using a PerkinElmer NexSAR™ HPLC-ICP-MS speciation solution, consisting of a NexSAR inert HPLC coupled to a NexION® ICP-MS.
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