By partnering with industry, academia, and government, our team continually improves our approach to focus on the solutions that matter. We are a partner striving to help move humanity forward by reducing barriers to the end user's measurements. We are here, listening and responding to the challenges facing everyone.
The Massbox™ directly analyzes any solid material, minimizing sample preparation time. Each analytical session removes only picograms of material and provides trace-level detection and elemental mapping capabilities for virtually the entire periodic table.
Do you have limited space? The Massbox requires only a standard 110-V power source and a 2’x2’ square to sit on your lab bench, desktop, or workbench. Plus, it can be moved without loss of alignment.
Compared to traditional spectroscopy tools, Massbox has significantly lower power usage, no gas requirements, and higher sample throughput. Each analysis is completed in a matter of minutes.
With its easy-to-use, touch-screen interface, large sample holder, and automatic quantification, the Massbox makes obtaining high-quality results an effortless experience.
These periodic tables compare the Massbox's detection limits to those of other common analytical techniques for solid samples. Compared to the others, LALI's chart shows more complete coverage and lower limits of detection (darker colors). In fact, the Massbox's limits for most elements are around 10 parts per billion (ppb)—well below most industry standards!
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Compared to other methods, the Massbox's LALI technique has 35-60% lower operating costs, and its cost per sample is approximately 10 times lower! Building upon a previously-published evaluation (Robert Thomas's "Do you Know What it Costs to Run your Atomic Spectroscopy Instrumentation?" from 2016), we compared operating costs among the highest-resolution techniques for solid sample analysis. For most spectrometry instruments, major operating costs include gases, electricity, and consumable supplies. We also applied publicly-available salary data to add the operator to the calculation. This graph compares the yearly operating costs and costs per sample, assuming instruments run 1,000 hours per year.
