An automated platform has been developed to assist researchers in the rapid development
of optical spectroscopy sensors to quantify species from spectral data. This platform …

Phytoliths, which are noncrystalline particles of amorphous silica that form inside plant cells,
contribute to the global carbon cycle through their ability to occlude organic carbon. The …

Optical sensors and chemometric models were leveraged for the quantification of uranium
(VI)(0–100 μg mL–1), europium (0–150 μg mL–1), samarium (0–250 μg mL–1) …

Controlled-potential in situ thin-layer spectropotentiometry was leveraged to generate
visible/near-infrared (VIS/NIR) absorption spectral data sets for the development of …

Near-infrared spectrophotometry and partial least squares regression (PLSR) were
evaluated to create a pleasantly simple yet effective approach for measuring HNO3 …

Abstract Combinatorial Order Pre-processing Search (COPS), a novel approach for
optimizing data pre-processing is proposed in this work. Unlike simultaneous …

This study presents an effective method for the quantification of nitric acid (0.1–9 M) and the
temperature (20–60° C) through optimal experimental design, chemometrics, and Raman …

A robust hierarchical model has been demonstrated for monitoring a wide range of
neptunium concentrations (0.75–890 mM) and varying temperatures (10–80° C) using …

Radioisotope production relies on complex chemical processes that must be performed in
radiological hot cells or glove boxes because of the radioactive and otherwise hazardous …

Chemometric regression models were developed for the quantification of praseodymium (Pr,
0–1000 µg/mL), neodymium (Nd, 0–1000 µg/mL), and nitric acid (HNO3, 0.1–5 M) using …