Scientists from East China Jiaotong University recently tested different sample selection methods using near-infrared (NIR) spectral information entropy as a similarity criterion.
The wide dynamic range of ICP-MS allows it to be used for the simultaneous determination of parts-per-billion levels of heavy metals including lead, arsenic, cadmium, and mercury, together with high parts-per-million levels of nutritional elements, such as phosphorus, calcium, potassium, and magnesium.