Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering

F Lussier, V Thibault, B Charron, GQ Wallace… - TrAC Trends in …, 2020 - Elsevier
Abstract Machine learning is shaping up our lives in many ways. In analytical sciences,
machine learning provides an unprecedented opportunity to extract information from …

Applications of artificial intelligence and machine learning algorithms to crystallization

C Xiouras, F Cameli, GL Quillo… - Chemical …, 2022 - ACS Publications
Artificial intelligence and specifically machine learning applications are nowadays used in a
variety of scientific applications and cutting-edge technologies, where they have a …

Applications of machine learning in spectroscopy

CA Meza Ramirez, M Greenop, L Ashton… - Applied Spectroscopy …, 2021 - Taylor & Francis
The way to analyze data in spectroscopy has changed substantially. At the same time, data
science has evolved to the point where spectroscopy can find space to be housed, adapted …

Deciphering the microheterogeneous repartition effect of environmental matrix on surface-enhanced Raman spectroscopy (SERS) analysis for pollutants in natural …

CW Yang, X Zhang, L Yuan, YK Wang, GP Sheng - Water Research, 2023 - Elsevier
Although surface-enhanced Raman spectroscopy (SERS) offers a promising technology for
sensitive detection of environmental pollutants in natural waters, its performance can be …

[HTML][HTML] Recent advances in co-former screening and formation prediction of multicomponent solid forms of low molecular weight drugs

Y Deng, S Liu, Y Jiang, ICB Martins, T Rades - Pharmaceutics, 2023 - mdpi.com
Multicomponent solid forms of low molecular weight drugs, such as co-crystals, salts, and co-
amorphous systems, are a result of the combination of an active pharmaceutical ingredient …

In Situ Imaging Combined with Deep Learning for Crystallization Process Monitoring: Application to Cephalexin Production

H Salami, MA McDonald, AS Bommarius… - … Process Research & …, 2021 - ACS Publications
The online detection of a trace amount of an undesired solid phase within a crystal slurry
can enable feedback control to improve product purity, decrease batch rejection, and …

Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food

N Liang, S Sun, C Zhang, Y He… - Critical Reviews in Food …, 2022 - Taylor & Francis
The authentication and traceability of food attract more attention due to the increasing
consumer awareness regarding nutrition and health, being a new hotspot of food science …

In-silico methods of cocrystal screening: A review on tools for rational design of pharmaceutical cocrystals

A Kumar, A Nanda - Journal of Drug Delivery Science and Technology, 2021 - Elsevier
Pharmaceutical cocrystals represent a distinctive class of crystal engineered
multicomponent systems consisting an API and a crystal former non-covalently linked …

Application of Raman spectroscopy in monoclonal antibody producing continuous systems for downstream process intensification

D Yilmaz, H Mehdizadeh, D Navarro… - Biotechnology …, 2020 - Wiley Online Library
Monoclonal antibodies (mAbs) are biopharmaceuticals produced by mammalian cell lines in
bioreactors at a variety of scales. Cell engineering, media optimization, process monitoring …

In-field proximal sensing of septoria tritici blotch, stripe rust and brown rust in winter wheat by means of reflectance and textural features from multispectral imagery

R Bebronne, A Carlier, R Meurs, V Leemans… - biosystems …, 2020 - Elsevier
During its growth, winter wheat (Triticum aestivum L.) can be impacted by multiple stresses
involving fungal diseases that are responsible for high yield losses. Enhancing the breeding …