Topic

Articles

Our annual review of new products for atomic and molecular spectroscopy, including details by category and highlights of overarching trends.

2023 Review of  Spectroscopic Instrumentation

Scientists have conducted a theoretical study on the rubrofusarin molecule, analyzing its structure, vibrational and UV-vis absorbance spectra, and discussing the impact of solvents on its properties, with implications for understanding the characteristics of Fusarium Head Blight (FHB), a fungal disease that affects cereal crops. 

Modeling the Structure, Vibrational, and UV-vis Absorbance Spectra of the Rubrofusarin Molecule

In situ UV-vis spectroscopy is an inexpensive and fast method that was proven to distinguish different types of batteries and energy storage mechanisms.

Using UV-Vis Spectroscopy To Distinguish Different Battery Types and Charge Storage Mechanisms

Spectroscopy offers a range of available techniques that can be differentiated by the use or omission of reference spectra. 

Valuable Techniques for Repeatable Absorbance Measurements

In this second part of this four-part series on spectroscopy instrument components, we take a closer look at optical components or subassemblies used for vibrational spectroscopy instruments.

A Survey of Basic Instrument Components Used in Spectroscopy, Part 2: Optical Materials and Designs

We propose a theoretical basis using vis-NIR spectroscopy for the development of an online nondestructive testing system for the quality of Nanguo pear fruit.

Study of Nondestructive Testing of Nanguo Pear Quality Using Vis-NIR Spectroscopy

2022 Review of Spectroscopic Instrumentation

High-performance instrumentation requires many critical components. We focus here on energy sources, lasers, and detectors.

A Survey of Basic Instrument Components Used in Spectroscopy, Part 1: Sources, Lasers, and Detectors

In this study, we propose a low-altitude unmanned aerial vehicle (UAV) hyperspectral visible near-infrared (vis-NIR) remote sensing hardware platform, which combines efficiency and accuracy for high-precision remote sensing-based ecological surveys and statistical data collection on grassland desertification. 

Deep Learning Classification of Grassland Desertification in China via Low-Altitude UAV Hyperspectral Remote Sensing

Jerome Workman Jr. serves on the Editorial Advisory Board of Spectroscopy and is currently with Unity Scientific LLC. He is also an adjunct professor at Liberty University and U.S. National University. He can be reached at jworkman04@gsb.columbia.edu.

This issue is a compilation of five peer-reviewed articles on the combined application of UV-vis-NIR spectral data with advanced chemometrics.

UV-vis Spectroscopy