[HTML][HTML] Challenges and opportunities of implementing data fusion in process analytical technology—a review

T Casian, B Nagy, B Kovács, DL Galata, E Hirsch… - Molecules, 2022 - mdpi.com
The release of the FDA's guidance on Process Analytical Technology has motivated and
supported the pharmaceutical industry to deliver consistent quality medicine by acquiring a …

Pharmaceutical application of multivariate modelling techniques: a review on the manufacturing of tablets

G Shi, L Lin, Y Liu, G Chen, Y Luo, Y Wu, H Li - RSC advances, 2021 - pubs.rsc.org
The tablet manufacturing process is a complex system, especially in continuous
manufacturing (CM). It includes multiple unit operations, such as mixing, granulation, and …

[HTML][HTML] A novel fault detection and diagnosis approach based on orthogonal autoencoders

D Cacciarelli, M Kulahci - Computers & Chemical Engineering, 2022 - Elsevier
In recent years, there have been studies focusing on the use of different types of
autoencoders (AEs) for monitoring complex nonlinear data coming from industrial and …

Process optimization of twin-screw melt granulation of fenofibrate using design of experiment (DoE)

HK Mamidi, S Palekar, PK Nukala, SM Mishra… - International Journal of …, 2021 - Elsevier
The purpose of this study was to optimize the melt granulation process of fenofibrate using
twin-screw granulator. Initial screening was performed to select the excipients required for …

Detecting mean changes in experience sampling data in real time: A comparison of univariate and multivariate statistical process control methods.

E Schat, F Tuerlinckx, AC Smit… - Psychological …, 2023 - psycnet.apa.org
Detecting early warning signals of develo** mood disorders in continuously collected
affective experience sampling (ESM) data would pave the way for timely intervention and …

How can oral paediatric formulations be improved? A challenge for the XXI century

M Moreira, M Sarraguça - International journal of pharmaceutics, 2020 - Elsevier
Paediatric oral formulations need to be improved. This is an indisputable fact that has gain
attention from the regulators, the medical staff, and researchers. The lack of adequate …

A deep learning framework for quality control process in the motor oil industry

M Heydari, A Alinezhad, B Vahdani - Engineering Applications of Artificial …, 2024 - Elsevier
Given the advancements in the modern world, using Multivariate-Multistage Quality Control
(MVMSQC) patterns in continuous production industries is deemed crucial and essential …

Integrated continuous manufacturing in pharmaceutical industry: current evolutionary steps toward revolutionary future

NA Helal, O Elnoweam, HA Eassa… - Pharmaceutical …, 2019 - Taylor & Francis
Continuous manufacturing (CM) has the potential to provide pharmaceutical products with
better quality, improved yield and with reduced cost and time. Moreover, ease of scale-up …

[HTML][HTML] Machine learning on white mica short-wave infrared (SWIR) spectral data in the Tengjia Au deposit, Jiaodong peninsula (Eastern China): A prospecting …

J Hao, L Duan, Y Zhang, H Zhao, Y Shao, Y Guo… - Ore Geology …, 2024 - Elsevier
Lode gold deposits are the primary source of global gold resources and possess significant
mineralization potential at depth, necessitating new strategies to locate deep concealed …

Pharmaceutical Application of Process Understanding and Optimization Techniques: A Review on the Continuous Twin-Screw Wet Granulation

J Zhao, G Tian, H Qu - Biomedicines, 2023 - mdpi.com
Twin-screw wet granulation (TSWG) is a method of continuous pharmaceutical
manufacturing and a potential alternative method to batch granulation processes. It has …