Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling

S Guo, J Popp, T Bocklitz - Nature protocols, 2021 - nature.com
Raman spectroscopy is increasingly being used in biology, forensics, diagnostics,
pharmaceutics and food science applications. This growth is triggered not only by …

Raman microspectroscopy for microbiology

KS Lee, Z Landry, FC Pereira, M Wagner… - Nature Reviews …, 2021 - nature.com
Raman microspectroscopy offers microbiologists a rapid and non-destructive technique to
assess the chemical composition of individual live microorganisms in near real time. In this …

A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis

LN Li, XF Liu, F Yang, WM Xu, JY Wang… - Spectrochimica Acta Part B …, 2021 - Elsevier
In the past decades various categories of chemometrics for laser-induced breakdown
spectroscopy (LIBS) analysis have been developed, among which an important category is …

On the utilization of principal component analysis in laser-induced breakdown spectroscopy data analysis, a review

P Pořízka, J Klus, E Képeš, D Prochazka… - … Acta Part B: Atomic …, 2018 - Elsevier
An implementation of a fast, robust, and effective algorithm is inevitable in modern
multivariate data analysis (MVDA). The principal component analysis (PCA) algorithm is …

A review of artificial intelligence methods combined with Raman spectroscopy to identify the composition of substances

L Pan, P Zhang, C Daengngam, S Peng… - Journal of Raman …, 2022 - Wiley Online Library
In general, most of the substances in nature exist in mixtures, and the noninvasive
identification of mixture composition with high speed and accuracy remains a difficult task …

Heavy metal Hg stress detection in tobacco plant using hyperspectral sensing and data-driven machine learning methods

K Yu, S Fang, Y Zhao - Spectrochimica Acta Part A: Molecular and …, 2021 - Elsevier
Accurate detection of heavy metal stress on the growth status of plants is of great concern for
agricultural production and management, food security, and ecological environment. A …

A review of the use of laser-induced breakdown spectroscopy for bacterial classification, quantification, and identification

SJ Rehse - Spectrochimica Acta Part B: Atomic Spectroscopy, 2019 - Elsevier
The use of laser-induced breakdown spectroscopy to determine the elemental composition
of bacterial cells has been described in the peer-reviewed literature since 2003. Fifteen …

Identification of meat species by combined laser-induced breakdown and Raman spectroscopies

H Sun, C Song, X Lin, X Gao - Spectrochimica Acta Part B: Atomic …, 2022 - Elsevier
We study the effect of complementary spectral information based on combined LIBS (laser-
induced breakdown spectroscopy) and Raman spectroscopy, including 3 options of LIBS …

[HTML][HTML] Data fusion of laser-induced breakdown and Raman spectroscopies: Enhancing clay mineral identification

E Gibbons, R Léveillé, K Berlo - Spectrochimica Acta Part B: Atomic …, 2020 - Elsevier
A straight-forward, data-driven approach for the reliable identification of clay minerals based
on spectroscopy and multivariate analyses is presented here. No other group of inorganic …

Applications of laser-induced breakdown spectroscopy in industrial measurement and monitoring: Multi-technology combination

M Cui, S Xiong, N Yang, Y Wang, Z Wang… - Applied Spectroscopy …, 2024 - Taylor & Francis
As a crucial detection technology in the era of digital transformation, laser induced
breakdown spectroscopy (LIBS) has been widely used in industrial measurement and …