Spectroscopy
For more than 40 years, ABB's portfolios of high performance laboratory, at-line and process FT-IR/FT-NIR analyzers have addressed a wide variety of applications. Our versatile spectrometers perform real-time analysis of the chemical composition and/or physical properties of a process sample stream. As part of its portfolio of products, ABB provides custom calibration modeling services, application support as well as turnkey solutions answering its customer analytical needs.
ABB's advanced solutions combine analyzers, advanced process control, data management, and process and application knowledge to improve the operational performance, productivity, capacity, and safety of industrial processes for customers. For all laboratory or process needs, ABB can be your partner and single-source provider of simple, low-cost, high performance, general-purpose FT-IR and FT-NIR spectrometers. The company also markets analyzers for hydrogen and inclusion measurement in liquid aluminum.
Our new and unique high tech manufacturing facility located in Quebec City, Canada, employs more than 220 people, including R&D, manufacturing, marketing, sales, and administrative groups. ABB is a leader in energy and automation technologies, allowing public services as well as industry, transport and infrastructure clients to improve their performance while reducing their impact on the environment. The ABB Group of companies operates in around 100 countries and employs about 140,000 people.
3400, Rue Pierre-Ardouin
Quebec, (Quebec) G1P 0B2
Canada
TELEPHONE
(418) 877-2944
FAX
(418) 877-2834
E-MAILftir@ca.abb.com
WEB SITEwww.abb.com/analytical
NUMBER OF EMPLOYEES
220
YEAR FOUNDED
1973
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Scientists Use Water and Light to Uncover Honey Adulteration
July 30th 2025In a 2025 study, Indian researchers demonstrated that combining near-infrared (NIR) spectroscopy with aquaphotomics enables rapid, non-destructive detection of adulterants in honey by analyzing changes in water’s spectral behavior. Using chemometric models, they accurately identified and quantified six common adulterants, offering a powerful tool for food authenticity and quality control.
Scientists Use AI and Spectroscopy to Detect Fake Honey in Bangladesh
July 29th 2025Researchers in Bangladesh have developed a rapid, non-destructive method to detect honey adulteration using UV-Vis-NIR spectroscopy paired with machine learning. Their findings could protect consumers and support food quality enforcement.