October 01, 2022
The past decision to use binary representation in computer architectures affects the results of chemometric-based outputs, especially if different data values are used.
September 01, 2022
In this third part of this four-part series on spectroscopy instrument components, we take a closer look at components used in atomic spectroscopy instrumentation—from beryllium and Kapton windows used in X-ray analysis to sampler and skimmer cones and plasma torches for ICP systems.
September 01, 2022
Lu Wei of the California Institute of Technology, the 2022 winner of the Emerging Leader in Molecular Spectroscopy Award, is applying stimulated Raman scattering (SRS) microscopy for bioanalysis, spectroscopy-informed design of vibrational imaging probes, and sample-engineering strategies.
August 01, 2022
This issue presents a selection of peer-reviewed articles on the subject of infrared (IR) spectroscopy.
July 01, 2022
We examine variations of the multiple linear regression (MLR) algorithm confer special properties on the model that the algorithm produces and critique the use of derivatives in calibration models.
June 01, 2022
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.
March 01, 2022
High-performance instrumentation requires many critical components. We focus here on energy sources, lasers, and detectors.
March 01, 2022
Spectroscopists offer their views on the their salaries and working conditions, including how they are faring through the social and economic challenges still gripping the world.
February 01, 2022
Raw data produced by an NIR instrument undergoes some sort of processing, or transformation, to make them easier to use. In this series, we explore options for that data transformation, starting with multiple linear regression (MLR).
August 01, 2021
Resonant SEIRA overcomes the limitations of traditional Fourier transform infrared (FT-IR) spectroscopy for minute sample sizes of relatively low absorptivity. Frank Neubrech of Heidelberg University is exploring resonant SEIRA in applications such as monitoring dynamic processes and hyperspectral infrared chemical imaging.