Artificial neural networks (ANNS) versus partial least squares (PLS) for spectral interference correction for taking part of the lab to the sample types of applications: an experimental study

Abstract

Interference and in particular spectral interference is a well documented problem in optical emission spectrometry. For example, it is commonly encountered even when commercially-available spectrometers with medium to high resolution are used (e.g., those with focal lengths of 0.75 m to 1 m). Such interference must be corrected. Although portable spectrometers are better suited for "taking part of the lab to the sample" types of applications, the effects of interference become more pronounced due to the short focal length of such spectrometers (e.g., 10 cm to 15 cm). We describe use of Artificial Neural Networks (ANNs) and of Partial Least Squares (PLS) methods for spectral interference correction.

Artificial Neural Networks (ANNs) for Spectral Interference Correction Using a Large-Size Spectrometer and ANN-Based Deep Learning for a Miniature One

“…Since then, ANNs have been applied to many chemistry-related areas, limited examples include of IR-and UV-spectra, classification, calibration, nuclear magnetic resonance (NMR), and ion mobility spectrometry (IMS). In my lab, we have been applying ANNs for spectral interference correction in analytical atomic spectrometry [22][23][24][25][26][27].…”

Artificial intelligence (and related topics, e.g., machine learning, deep learning, artificial neural networks or ANNs) as applied to the teaching and to the practice of analytical spectrochemistry

“…At present, AI and related topics (e.g., Machine Learning, Artificial Neural Networks, and Deep Learning) are receiving significant attention in the science, in engineering and in business. For instance, there are many scientific papers dealing with applications of AI in various branches of spectrometry [1][2][3][4][5][6][7][8][9][10][11] (e.g., atomic, molecular, Raman, SERS). The role of AI in generating original research has also been discussed [10].…”