The SABYDOMA Safety by Process Control framework for the production of functional, safe and sustainable nanomaterials

The production of nanomaterials (NMs) has gained significant attention due to their unique properties and versatile applications in fields such as medicine, energy, and electronics. However, ensuring the large-scale synthesis of safe and sustainable NMs while maintaining their functionality remains a critical challenge. This study introduces the Safety by Process Control (SbPC) framework, a novel methodology integrating dynamic first-principles modeling, Model Predictive Control (MPC), and real-time safety monitoring. The framework employs a physics-based population balance model with a Method Of Moments (MOM) approximation to predict the evolution of key NM properties. A toxicity inferential sensor, built on experimental data, is integrated to facilitate real-time hazard assessment. The efficiency of the proposed framework is demonstrated using a continuous silver nanoparticle (Ag NP) production system as a case study. The proposed approach ensures the production of high-quality, safe, and sustainable NMs, aligning with Safe and Sustainable by Design (SSbD) principles and addressing gaps in current NM manufacturing processes. The framework’s adaptability to other NM types highlights its potential as a transformative tool for sustainable nanotechnology.

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Publication Details

Journal
Computers & Chemical Engineering
Published
2025-04-07
DOI
https://doi.org/10.1016/j.compchemeng.2025.109113
Primary Topic
Nanoparticles: synthesis and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

The SABYDOMA Safety by Process Control framework for the production of functional, safe and sustainable nanomaterials

Haralambos Sarimveis, William E. Stokes, Matt Jellicoe, Vesa Hongisto et al.
Computers & Chemical Engineering
Nanoparticles: synthesis and applications
article

The SABYDOMA Safety by Process Control framework for the production of functional, safe and sustainable nanomaterials

Haralambos Sarimveis, William E. Stokes, Matt Jellicoe, Vesa Hongisto, Athanassios Nikolakopoulos, Michail E. Kavousanakis, Roland Grafström, Nikil Kapur, Thomas W. Chamberlain, Philip Doganis, Andrew Nelson, Argyri Kardamaki, M. D. Simmons
article en

Abstract

The production of nanomaterials (NMs) has gained significant attention due to their unique properties and versatile applications in fields such as medicine, energy, and electronics. However, ensuring the large-scale synthesis of safe and sustainable NMs while maintaining their functionality remains a critical challenge. This study introduces the Safety by Process Control (SbPC) framework, a novel methodology integrating dynamic first-principles modeling, Model Predictive Control (MPC), and real-time safety monitoring. The framework employs a physics-based population balance model with a Method Of Moments (MOM) approximation to predict the evolution of key NM properties. A toxicity inferential sensor, built on experimental data, is integrated to facilitate real-time hazard assessment. The efficiency of the proposed framework is demonstrated using a continuous silver nanoparticle (Ag NP) production system as a case study. The proposed approach ensures the production of high-quality, safe, and sustainable NMs, aligning with Safe and Sustainable by Design (SSbD) principles and addressing gaps in current NM manufacturing processes. The framework’s adaptability to other NM types highlights its potential as a transformative tool for sustainable nanotechnology.

Computers & Chemical EngineeringVol. 199
University of Leeds (GB), National Technical University of Athens (GR), Turku Centre for Computer Science (FI), Karolinska Institutet (SE)
European Commission, Horizon 2020
Responsible consumption and production
Openalex Percentile: Top 95%
Nanoparticles: synthesis and applications
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