Featured products from the spectroscopy industry.
Interactive web tool
Thermo Fisher Scientific has introduced an online tool at www.thermo.com/ftir that allows scientists to create their own custom Nicolet 6700 FT-IR spectrometer for their specific analysis needs. According to the company, visitors to the site can browse sampling accessories, select appropriate software, and add external components, wuch as IR microscopes and Raman. Thermo Fisher Scientific, Waltham, MA;
www.thermo.com
Spectrofluorometer
HORIBA Jobin Yvon's FluoroMax-4 benchtop spectrofluorometer reportedly features a sensitivity of at least 400,000 cps for the water-Raman peak at 397 nm and a signal-to-noiseratio of 3000:1 minimum. According to the company, the spectrofluorometer uses an ozone-free xenon arc lamp for broadband coverage from the UV to near-IR. Optionalaccessories include automatic polarizers, a stopped-flow device for kinetics, a microwellplate reader, and an autotitrator. HORIBA Jobin Yvon, Edison, NJ;
www.jobinyvon.com
LIBS Illuminates the Hidden Health Risks of Indoor Welding and Soldering
April 23rd 2025A new dual-spectroscopy approach reveals real-time pollution threats in indoor workspaces. Chinese researchers have pioneered the use of laser-induced breakdown spectroscopy (LIBS) and aerosol mass spectrometry to uncover and monitor harmful heavy metal and dust emissions from soldering and welding in real-time. These complementary tools offer a fast, accurate means to evaluate air quality threats in industrial and indoor environments—where people spend most of their time.
NIR Spectroscopy Explored as Sustainable Approach to Detecting Bovine Mastitis
April 23rd 2025A new study published in Applied Food Research demonstrates that near-infrared spectroscopy (NIRS) can effectively detect subclinical bovine mastitis in milk, offering a fast, non-invasive method to guide targeted antibiotic treatment and support sustainable dairy practices.
Smarter Sensors, Cleaner Earth Using AI and IoT for Pollution Monitoring
April 22nd 2025A global research team has detailed how smart sensors, artificial intelligence (AI), machine learning, and Internet of Things (IoT) technologies are transforming the detection and management of environmental pollutants. Their comprehensive review highlights how spectroscopy and sensor networks are now key tools in real-time pollution tracking.