Atomic Spectroscopy News
The Bundesanstalt für Materialforschung und -prüfung and Analytik Jena have agreed to cooperate in the research and development of optical spectrometry in the area of elemental analysis.
Spectro Analytical Instruments has delivered the 10,000th SPECTROMAXx metal analyser to Geely Automobile, a Chinese automotive and motorcycle manufacturer based in Hangzhou.
Achema 2018 is inviting contributions to the Achema Congress and the PRAXISforums; deadline 22 September 2017.
A cooperation between Messe München India and the Indian Pharma Machinery Manufacturers Association (IPMMA) will collocate events jointly representing 600+ global and Indian companies.
Photonis USA has announced that it has reached an agreement with MasCom Technologies GmbH of Bremen, Germany, to stock and resell a wide selection of discrete dynode electron multipliers designed for use in inductively coupled mass spectrometry (ICP-MS) instruments. The agreement adds to Photonis’ extensive line of electron multiplier products.
Rand Capital Corporation has invested $250,000 as part of a $4.3 million equity capital funding round in SciAps, Inc., manufacturer of handheld analytical instruments. The funding round was led by new investor Jolimont Global Mining Systems with participation from Rand Capital, and other existing investors including SciAps CEO and Founder Donald Sackett, as well as two additional new investors.
Analytik Jena celebrates its 25th anniversary. As one of the first companies founded in East Germany after the fall of the Berlin wall, they have grown to offer a wide range of analytical products including a wide wide of atomic spectroscopy instrumentation.
Unique “graffiti” on the walls of a cave in central China describes the effects drought had on the local population over the past 500 years. Stable isotope and elemental analysis of stalactites have been able to confirm the climate variations.
Scientists at Loughborough University hope their early trials of a new technique based on LIBS could assist a crackdown on stone theft.
A team of chemists from the University of Seville, Spain, has managed to distinguish between different kinds of tea leaves on the basis of their mineral content and by using artificial neural networks.
