Mark Fleiner has succeeded Paolo Carmassi as Malvern Panalytical’s new President. Earlier, Fleiner held the post of Business Group Director – Industrial Solutions Division of Spectris where he was responsible for seven operating companies.

Freezers are among the biggest energy consumers in a lab, and as a result they can cost a lab a lot of money. The International Freezer Challenge promotes best practices in cold storage management and awards the labs who have done the most to save energy and improve their sample storage.

Shimadzu has introduced the new HIC-ESP (Ion Chromatograph) featuring a built-in electrodialytic suppressor.

The ‘Amplify Analytics’ platform offers a new range of flexible services which enables pharmaceutical firms to speed up and de-risk drug development. The move also brings together Malvern Panalytical’s physicochemical characterisation expertise and Concept Life Sciences’ bespoke chemistry and analytical services.

Biotecon launched the newly developed real-time PCR cycler, the Dualo 32, which together with the foodproof Beer Screening Kits and foodproof Spoilage Yeast Detection Kits can detect more than 30 of the most important beer spoilage bacteria and several spoilage yeasts.

Seal Analytical has announced the release of a new safer method for Total Alkaloids (as Nicotine) in tobacco analysis. According to the company, the new method avoids the use of highly toxic reagents, which would be an advantage to anyone involved with tobacco analysis.

Seal Analytical, the global manufacturer of automated analyzers, has acquired Rohasys, a Dutch manufacturer of laboratory products for automating and robotising sample (pre) treatment.

Researchers at Linköping University (LIU) are attempting to convert carbon dioxide to fuel using energy from sunlight. Recent results have shown that it is possible to use their technique to selectively produce methane, carbon monoxide or formic acid from carbon dioxide and water.

Scientists in Japan have developed an ultrastable, selective catalyst which proves beneficial for the propane dehydrogenation process without deactivation. This process is essential to produce the vital petrochemical substance of propylene.

Researchers at the Nanoscience Center at the University of Jyväskylä have revealed that new machine learning methods developed by the University has the ability to predict atomic dynamics and structures of nanoparticles. The revolutionary new methods are also quicker as compared to traditional simulation methods used for nanoparticle research.