Metrohm Acquires B&W Tek
Metrohm AG of Herisau, Switzerland, has acquired B&W Tek’s Spectroscopy Solution Business, B&W Tek LLC, and several overseas subsidiaries.
Metrohm AG of Herisau, Switzerland, has acquired B&W Tek’s Spectroscopy Solution Business, B&W Tek LLC, and several overseas subsidiaries. B&W Tek is located in Newark, Delaware.
CEO and President of Metrohm AG Christoph Fässler said in a statement “We are pleased to strengthen our product portfolio in spectroscopy by the acquisition of B&W Tek’s R&D, production, and sales organizations.”
Jack Zhou, who is the CEO of B&W Tek LLC, said that he and his company are excited to see the accelerated growth potential and how it will further a focus on customer-centric solutions and innovations. “The addition of complementary products and technologies by B&W Tek, together with Metrohm’s expertise in products and commercialization as well as market presence will allow us to serve a much larger global customer base,” he said.
Although the details about the acquisition are confidential, B&W Tek will continue to operate under its own brand with its own service and sales organization for now. Following a transition period, the gradual integration of B&W Tek into the Metrohm organization will take place.
Scientists Unveil Better Mixing Rule for Absorption Spectroscopy of Aerosols and Colloids
June 16th 2025Researchers have introduced a simple yet powerful new rule based on Rayleigh scattering theory that accurately links the absorption behavior of composite media, like aerosols or colloids, to the properties of their nanoparticle constituents.
Short Tutorial: Complex-Valued Chemometrics for Composition Analysis
June 16th 2025In this tutorial, Thomas G. Mayerhöfer and Jürgen Popp introduce complex-valued chemometrics as a more physically grounded alternative to traditional intensity-based spectroscopy measurement methods. By incorporating both the real and imaginary parts of the complex refractive index of a sample, this approach preserves phase information and improves linearity with sample analyte concentration. The result is more robust and interpretable multivariate models, especially in systems affected by nonlinear effects or strong solvent and analyte interactions.
