Products
LC–MS system
The Orbitrap Fusion Tribrid LC–MS system from Thermo Fisher Scientific combines quadrupole, Orbitrap, and linear ion-trap mass analyzers and is designed for the analysis of complex biological samples. According to the company, users can choose between fragmentation modes at any stage of MSn analysis and unknowns in small-molecule experiments can be identified conclusively as they are encountered.
Thermo Fisher Scientific, San Jose, CA;
PEEK fittings
Cheminert high-pressure PEEK fittings from VICI Valco are rated at 5000 psi with fingertight nuts. According to the company, the fitting designs permit direct connection of 360-μm o.d. fused-silica, PEEK, stainless steel, or electroformed nickel tubing without having to use liners.
Valco Instruments Co, Inc., Houston, TX;
Mass spectrometer
The LCMS-8040 triple-quadrupole mass spectrometer from Shimadzu is designed to provide polarity switching at 15 ms and a high speed-scanning rate of 15,000 u/s. According to the company, the instrument's UFsweeper II collision cell design enables MRM transition speeds of up to 5555 MRM/s.
Shimadzu Scientific Instruments, Inc., Columbia, MD;
Portable GC–MS system
The Tridion-9 portable GC–toroidal mass spectrometry system from Torion is designed for field GC–MS applications. The system reportedly combines an electronic pressure controlled gas chromatograph with an amplitude scanning toroidal ion-trap mass spectrometer. According to the company, the system can be used with SPME syringes for sample introduction.
Torion Technologies Inc., American Fork, UT;
Best of the Week: SciX Award Interviews, Tip-Enhanced Raman Scattering
June 13th 2025Top articles published this week include an interview about aromatic–metal interactions, a tutorial article about the recent advancements in tip-enhanced Raman spectroscopy (TERS), and a news article about using shortwave and near-infrared (SWIR/NIR) spectral imaging in cultural heritage applications.
Hyperspectral Imaging for Walnut Quality Assessment and Shelf-Life Classification
June 12th 2025Researchers from Hebei University and Hebei University of Engineering have developed a hyperspectral imaging method combined with data fusion and machine learning to accurately and non-destructively assess walnut quality and classify storage periods.