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
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.