Spectroscopy E-Books
In the “Molecular Spectroscopy Workshop” column, we have been trying to provide hands-on advice and easy-to-implement tips for analysts who have the responsibility to use spectra to derive answers to questions as quickly as possible. Very often the identity of an unknown is of ultimate importance, and very few analytical chemists coming out of graduate programs have been taught to systematically analyze spectra in order to infer the identity of the source. In addition, it is rare that an industrial environment will provide resources for analysts to be educated in this field. Thus, the availability of any means to provide spectral identification will make the difference between success and failure-acquiring a spectrum is useless if one cannot identify it. In this column, I discuss some of the fundamentals of spectral interpretation, illustrate the use of searching software, including mixture analysis, and show how sometimes the software can provide spectral interpretation.
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How Satellite-Based Spectroscopy is Transforming Inland Water Quality Monitoring
Published: April 29th 2025 | Updated: April 29th 2025New research highlights how remote satellite sensing technologies are changing the way scientists monitor inland water quality, offering powerful tools for tracking pollutants, analyzing ecological health, and supporting environmental policies across the globe.
Chinese Researchers Develop Dual-Channel Probe for Biothiol Detection
April 28th 2025Researchers at Qiqihar Medical University have developed a dual-channel fluorescent probe, PYL-NBD, that enables highly sensitive, rapid, and selective detection of biothiols in food, pharmaceuticals, and living organisms.
The fNIRS Glossary Project: A Community-Sourced Glossary of Key Terms
April 28th 2025Established to develop a community-sourced glossary covering key functional near-infrared spectroscopy (fNIRS) terms, including those related to the continuous-wave (CW), frequency-domain (FD), and time-domain (TD) NIRS techniques, the fNIRS Glossary Project features over 300 terms categorized into six key domains: analysis, experimental design, hardware, neuroscience, mathematics, and physics. It also includes abbreviations, symbols, synonyms, references, alternative definitions, and figures where relevant.