About Spectroscopy
Founded in 1986, Spectroscopy provides peer-reviewed articles, trusted advice from expert columnists, and the latest breaking developments to facilitate the advance of analytical spectroscopy and its use as an essential tool across a variety of applications and fields.
Founded in 1986, Spectroscopy provides peer-reviewed articles, trusted advice from expert columnists, and the latest breaking developments to facilitate the advance of analytical spectroscopy and its use as an essential tool across a variety of applications and fields.
Through our monthly print publication, website, newsletters, ebooks, webcasts, interviews, and special issues, Spectroscopy provides academicians, laboratory scientists and managers, technicians, and those using analytical spectroscopy outside the laboratory with news, information about technical advances, best practices, and sage advice for improved proficiency and competitive advantage.
Spectroscopy has a circulation of more than 25,000 audited readers and a broad web reach through our online publishing. Spectroscopy is indexed in the Web of Science, Journal Citation Reports, and EBSCOhost. Articles in Spectroscopy reach a large and diverse scientific readership.
Please direct all press releases to Caroline Hroncich, associate editorial director, at chroncich@mjhlifesciences.com.
Spectroscopy Editorial Advisory Board
Marketing Opportunities
A range of marketing options provide access to Spectroscopy’s audience. Options include print and digital advertising, newsletter advertising, mail lists, webcasts, virtual events, video programs, content marketing, and custom programs.
Learn More about Marketing Opportunities here.
Subscriptions
To subscribe to Spectroscopy, manage your subscription, or learn more about subscribing, please contact mmhinfo@mmhgroup.com.
AI Boosts SERS for Next Generation Biomedical Breakthroughs
July 2nd 2025Researchers from Shanghai Jiao Tong University are harnessing artificial intelligence to elevate surface-enhanced Raman spectroscopy (SERS) for highly sensitive, multiplexed biomedical analysis, enabling faster diagnostics, imaging, and personalized treatments.
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
