Perfectly polished samples are an essential prerequisite to obtain ideal measurement conditions. We use a variety of techniques to ensure optimal preparation of your samples. The ERZLABOR team specializes in the preparation of challenging and complex materials, regardless of grain-size. Examples include copper shale, stibnite, kaolin, micas, graphite, flotation products, agglomerates, pellets, spherules, ashes, slurries, recycling materials and many more. You benefit from our extensive experience and state-of-the-art laboratory equipment.
We perform fast, statistically reliable and detailed characterization on a wide range of natural and artificial materials. ERZLABOR provides both MLA (Mineral Liberation Analyzer) and QEMSCAN (Quantitative Evaluation of Minerals by Scanning Electron Microscopy) analyses. Besides quantitative materials characterization, these methods yield additional process-relevant parameters such as particle sizes and liberation. Thus, the MLA and QEMSCAN data provides valuable information for the design of more resource- and cost-efficient processes. The range of services we offer is widely applicable in the entire raw materials value chain – from exploration through to recycling.
Training & Support
Our professional support with data interpretation enables you to efficiently achieve the best outcomes for your projects, products and services. With our expertise in exploration, mining and minerals processing we provide a valuable contribution to your business strategy. Besides our innovative approach to advanced material characterization, our portfolio also includes geometallurgical modelling which can be used to optimize net project value and operational performance. Furthermore, we offer more general consulting services, e.g. on resource potential evaluation or the global availability of commodities like indium, lithium or cobalt. Please contact us directly to discuss your requirements, or for a specific quotation.
Technology & benefits
The automated materials characterization technique is based on secondary electron microscopy. Our novel and cost-efficient approach implements:
error quantification for commercial applications
statistically optimized measurement procedures
3D sample preparation
growth in net present value of projects
reduced overall project risk
reduced material losses and process costs
head grade improvement