CEM Corporation is a leading global company specializing in scientific solutions for critical laboratory applications. We design and manufacture systems for analytical laboratories, bioscience applications, life sciences, and processing plants worldwide. Our product portfolio includes innovative instrumentation for sample preparation for elemental or chromatographic analysis, chemical synthesis, peptide synthesis, and other applications.
CEM instrumentation is used by chemists, scientists, and technicians in private industry as well as leading universities, analytical laboratories, and research facilities around the world. We support numerous markets including the pharmaceutical, chemical, environmental, applied materials, food, and petroleum industries, among others.
CEM offers two platforms, a variety of vessels, and options for microwave digestion to ensure fast, complete, and reproducible digestions for a wide range of sample types. Run up to 40 samples simultaneously with the MARS 6 with One Touch(tm) Technology, a series of smart features that help automate the digestion process. MARS 6 automatically identifies and counts vessels, determines all of the parameters, adjust power output, and performs the digestion for all major sample types. Discover(r) SP-D digests most samples in 10 min or less including cooldown. Discover SP-D offers individual parameter programming for each sample and an optional Autosampler.
CEM's global headquarters, research laboratories, and manufacturing facilities are located in Matthews, North Carolina. The company has subsidiaries in the United Kingdom, Ireland, Germany, Italy, France, and Japan as well as more than 50 distributors worldwide.
USA: 225
Elsewhere: 65
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Scientists Use Water and Light to Uncover Honey Adulteration
July 30th 2025In a 2025 study, Indian researchers demonstrated that combining near-infrared (NIR) spectroscopy with aquaphotomics enables rapid, non-destructive detection of adulterants in honey by analyzing changes in water’s spectral behavior. Using chemometric models, they accurately identified and quantified six common adulterants, offering a powerful tool for food authenticity and quality control.
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