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 …
Modern sensor tools and techniques for monitoring, controlling, and improving cell culture processes
SJ Reyes, Y Durocher, PL Pham, O Henry - Processes, 2022 - mdpi.com
The growing biopharmaceutical industry has reached a level of maturity that allows for the
monitoring of numerous key variables for both process characterization and outcome …
monitoring of numerous key variables for both process characterization and outcome …
Technology outlook for real‐time quality attribute and process parameter monitoring in biopharmaceutical development—A review
DP Wasalathanthri, MS Rehmann… - Biotechnology and …, 2020 - Wiley Online Library
Real‐time monitoring of bioprocesses by the integration of analytics at critical unit
operations is one of the paramount necessities for quality by design manufacturing and real …
operations is one of the paramount necessities for quality by design manufacturing and real …
Towards smart biomanufacturing: a perspective on recent developments in industrial measurement and monitoring technologies for bio-based production processes
CL Gargalo, I Udugama, K Pontius… - Journal of Industrial …, 2020 - academic.oup.com
The biomanufacturing industry has now the opportunity to upgrade its production processes
to be in harmony with the latest industrial revolution. Technology creates capabilities that …
to be in harmony with the latest industrial revolution. Technology creates capabilities that …
Data augmentation techniques for machine learning applied to optical spectroscopy datasets in agrifood applications: A comprehensive review
A Gracia Moisés, I Vitoria Pascual, JJ Imas González… - Sensors, 2023 - mdpi.com
Machine learning (ML) and deep learning (DL) have achieved great success in different
tasks. These include computer vision, image segmentation, natural language processing …
tasks. These include computer vision, image segmentation, natural language processing …
Digital twins in biomanufacturing
S Zobel-Roos, A Schmidt, L Uhlenbrock, R Ditz… - Digital twins: Tools and …, 2021 - Springer
In recent years process modelling has become an established method which generates
digital twins of manufacturing plant operation with the aid of numerically solved process …
digital twins of manufacturing plant operation with the aid of numerically solved process …
Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years
H Xuesong, C Pu, L Jingyan, X Yupeng… - Applied Spectroscopy …, 2024 - Taylor & Francis
In recent years, spectral analysis methods have developed rapidly. A key feature is the use
of chemometric methods to process spectral data for performing qualitative and quantitative …
of chemometric methods to process spectral data for performing qualitative and quantitative …
Monitoring of ultra-and diafiltration processes by Kalman-filtered Raman measurements
Monitoring the protein concentration and buffer composition during the Ultrafiltration/
Diafiltration (UF/DF) step enables the further automation of biopharmaceutical production …
Diafiltration (UF/DF) step enables the further automation of biopharmaceutical production …
Manufacturing of bacteriophages for therapeutic applications
Bacteriophages, or simply phages, are the most abundant biological entities on Earth. One
of the most interesting characteristics of these viruses, which infect and use bacteria as their …
of the most interesting characteristics of these viruses, which infect and use bacteria as their …
[HTML][HTML] Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
TT Khuat, R Bassett, E Otte, A Grevis-James… - Computers & Chemical …, 2024 - Elsevier
While machine learning (ML) has made significant contributions to the biopharmaceutical
field, its applications are still in the early stages in terms of providing direct support for quality …
field, its applications are still in the early stages in terms of providing direct support for quality …