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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

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

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.

Advances in UV-Vis-NIR Spectroscopy: A Peer-Reviewed Special Issue

Classification and identification of different wood species are demonstrated
using a portable near-infrared spectrometer, combined with four spectral pretreatment methods and three pattern recognition methods. Additional chemometric tools were used for comprehensive evaluation of classification model accuracy and complexity.

Rapid Identification of Wood Species Based on Portable Near-Infrared Spectrometry and Chemometrics Methods

Given that grape seed oil has shown beneficial effects for consumers, there is a interest in measuring oil quality and potential adulteration. This study demonstrates an effective near-infrared (NIR) spectroscopy method, using a series of machine learning approaches for wavelength variable selection, to rapidly discriminate grape seed oil adulteration.

Rapid Quality Discrimination of Grape Seed Oil Using an Extreme Machine Learning Approach with Near-Infrared (NIR) Spectroscopy

Spectral reflectance is a non-destructive method that is applicable to remote sensing and may be used to measure the chlorophyll content in a crop, which indicates the photosynthetic capacity, growth cycles, and degrees of stress (such as disease, insect infestation, and heavy metal stress) on plant ecosystems. This vis-NIR spectral reflectance method measures leaf chlorophyll using a wavelet analysis algorithm approach.

UV-vis Spectroscopy