Recent advances of chemometric calibration methods in modern spectroscopy: Algorithms, strategy, and related issues
HP Wang, P Chen, JW Dai, D Liu, JY Li, YP Xu… - TrAC Trends in …, 2022 - Elsevier
In recent years, modern spectral analysis techniques, such as ultraviolet–visible (UV-vis)
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …
spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, Raman …
FTIR and Raman imaging for microplastics analysis: State of the art, challenges and prospects
Despite a substantial body of research to date for the detection of microplastics (MPs) in
almost every environmental compartment there remains a lack of standardisation, and …
almost every environmental compartment there remains a lack of standardisation, and …
Peak fitting applied to fourier transform infrared and raman spectroscopic analysis of proteins
A Sadat, IJ Joye - Applied Sciences, 2020 - mdpi.com
FTIR and Raman spectroscopy are often used to investigate the secondary structure of
proteins. Focus is then often laid on the different features that can be distinguished in the …
proteins. Focus is then often laid on the different features that can be distinguished in the …
Raman microspectroscopy for microbiology
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 …
assess the chemical composition of individual live microorganisms in near real time. In this …
Raman spectroscopy: Current applications in breast cancer diagnosis, challenges and future prospects
K Hanna, E Krzoska, AM Shaaban, D Muirhead… - British journal of …, 2022 - nature.com
Despite significant improvements in the way breast cancer is managed and treated, it
continues to persist as a leading cause of death worldwide. If detected and diagnosed early …
continues to persist as a leading cause of death worldwide. If detected and diagnosed early …
Recent progresses in machine learning assisted Raman spectroscopy
With the development of Raman spectroscopy and the expansion of its application domains,
conventional methods for spectral data analysis have manifested many limitations. Exploring …
conventional methods for spectral data analysis have manifested many limitations. Exploring …
Raman spectroscopy coupled with chemometrics for food authentication: A review
Y Xu, P Zhong, A Jiang, X Shen, X Li, Z Xu… - TrAC Trends in …, 2020 - Elsevier
In recent years, the frequent economically motivated adulteration (EMA) caused by
component displacement, illegal addition, and other problems makes the food authenticity …
component displacement, illegal addition, and other problems makes the food authenticity …
COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections
C Carlomagno, D Bertazioli, A Gualerzi, S Picciolini… - Scientific reports, 2021 - nature.com
The pandemic of COVID-19 is continuously spreading, becoming a worldwide emergency.
Early and fast identification of subjects with a current or past infection must be achieved to …
Early and fast identification of subjects with a current or past infection must be achieved to …
Toward autonomous design and synthesis of novel inorganic materials
Autonomous experimentation driven by artificial intelligence (AI) provides an exciting
opportunity to revolutionize inorganic materials discovery and development. Herein, we …
opportunity to revolutionize inorganic materials discovery and development. Herein, we …
Raman spectroscopy and imaging in bioanalytics
D Cialla-May, C Krafft, P Rösch… - Analytical …, 2021 - ACS Publications
Since the discovery of the inelastic scattering of light, ie, the so-called Raman effect, 1
Raman spectroscopy has become an attractive tool in a high number of research fields …
Raman spectroscopy has become an attractive tool in a high number of research fields …