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 …

Towards the development of digital twins for the bio-manufacturing industry

CL Gargalo, SC de Las Heras, MN Jones… - Digital twins: Tools and …, 2021 - Springer
The bio-manufacturing industry, along with other process industries, now has the opportunity
to be engaged in the latest industrial revolution, also known as Industry 4.0. To successfully …

Hybrid machine learning assisted modelling framework for particle processes

RF Nielsen, N Nazemzadeh, LW Sillesen… - Computers & Chemical …, 2020 - Elsevier
Particle processes are used broadly in industry and are frequently used for removal of
insolubles, product isolation, purification and polishing. These processes are challenging to …

Integration of first-principle models and machine learning in a modeling framework: An application to flocculation

N Nazemzadeh, AA Malanca, RF Nielsen… - Chemical Engineering …, 2021 - Elsevier
In this paper, an integrated hybrid modeling approach with first-principles is implemented to
model flocculation processes. The application of the framework is demonstrated through a …

Sustainable purification of butanol from a class of a mixture produced by reduction of volatile fatty acids

E Sanchez-Ramirez… - Industrial & …, 2021 - ACS Publications
There has been an increasing interest in the conversion of biomass to biofuels, energy, and
chemicals due to an increase in meeting environmental demands and price and decrease in …

A novel nonlinear sliding mode observer to estimate biomass for lactic acid production

PA López-Pérez, M López-López… - Chemical Product and …, 2023 - degruyter.com
This study deals with the problem of estimating the amount of biomass and lactic acid
concentration in a lactic acid production process. A continuous stirred tank bioreactor was …

A hybrid model predictive control strategy using neural network based soft sensors for particle processes

RF Nielsen, KV Gernaey, SS Mansouri - Computer Aided Chemical …, 2020 - Elsevier
Particle processes, such as crystallization, flocculation and emulsification constitute a large
fraction of the industrial processes for removal of insolubles, product isolation, purification …

Acquisition and analysis of floc images by machine learning technique to improve the turbidity removal process

FP Larroca, J Quino-Favero, UR Villanueva… - Desalination and Water …, 2023 - Elsevier
This article reports on the implementation and use of a floc image acquisition and analysis
system in a pilot water treatment plant to remove kaolin turbidity with a coagulant and …

Implementation of first-principles surface interactions in a hybrid machine learning assisted modelling of flocculation

N Nazemzadeh, RF Nielsen, KV Gernaey… - Computer Aided …, 2021 - Elsevier
Abstract Machine learning algorithms are drawing attention for modelling processes in the
chemical and biochemical industries. Due to a lack of fundamental understanding of …