[HTML][HTML] Systematic development of ionizable lipid nanoparticles for placental mRNA delivery using a design of experiments approach

RE Young, KM Nelson, SI Hofbauer, T Vijayakumar… - Bioactive Materials, 2024 - Elsevier
Ionizable lipid nanoparticles (LNPs) have gained attention as mRNA delivery platforms for
vaccination against COVID-19 and for protein replacement therapies. LNPs enhance mRNA …

Combining DoE and MASE: a winning strategy for the isolation of natural bioactive compounds from plant materials

V Cavalloro, G Marrubini, G Rossino, E Martino… - Green …, 2024 - pubs.rsc.org
The successes achieved in pursuing a nature-aided drug discovery (NADD) program are
many and well-known, but it is still considered a second-order approach. Biomass extraction …

Modeling, analysis, and optimization of dimensional accuracy of FDM-fabricated parts using definitive screening design and deep learning feedforward artificial neural …

OA Mohamed, SH Masood, JL Bhowmik - Advances in Manufacturing, 2021 - Springer
Additive manufacturing (AM) technologies such as fused deposition modeling (FDM) rely on
the quality of manufactured products and the process capability. Currently, the dimensional …

Using design of experiments to guide genetic optimization of engineered metabolic pathways

S Moon, A Saboe, MJ Smanski - Journal of Industrial …, 2024 - academic.oup.com
Abstract Design of experiments (DoE) is a term used to describe the application of statistical
approaches to interrogate the impact of many variables on the performance of a multivariate …

Investigation on the tribological behavior and wear mechanism of parts processed by fused deposition additive manufacturing process

OA Mohamed, SH Masood, JL Bhowmik… - Journal of Manufacturing …, 2017 - Elsevier
Fused deposition modeling (FDM) is a process for producing three dimensional products by
layer by layer deposition directly from a digital file, becoming, more exciting among …

Parametric optimization of FDM process for PA12-CF parts using integrated response surface methodology, Grey relational analysis, and grey wolf optimization

AS Almuflih, M Abas, I Khan, S Noor - Polymers, 2024 - mdpi.com
Efficiently managing multiple process parameters is critical for achieving optimal
performance in additive manufacturing. This study investigates the relationship between …

Comparative study of I-optimal design and definitive screening design for develo** prediction models and optimization of average surface roughness of PLA printed …

M Abas, T Habib, S Noor, KM Khan - The International Journal of …, 2023 - Springer
In fused deposition modeling (FDM), the prediction and optimization of surface roughness
distribution by varying the process parameters of the printing is required during the process …

Definitive screening design for mechanical properties enhancement in extrusion-based additive manufacturing of carbon fiber-reinforced PLA composite

M Abas, T Habib, I Khan, S Noor - Progress in Additive Manufacturing, 2025 - Springer
In the realm of material extrusion additive manufacturing, fused deposition modeling
(FDM)/fused filament fabrication (FFF) has gained widespread recognition for its cost …

Impact of processing parameters on tensile strength, in-process crystallinity and mesostructure in FDM-fabricated PLA specimens

O Luzanin, D Movrin, V Stathopoulos… - Rapid Prototy** …, 2019 - emerald.com
Purpose This study aims to investigate the impact of layer thickness, extrusion temperature,
extrusion speed and build plate temperature on the tensile strength, crystallinity achieved …

Bioconversion of cellulose into bisabolene using Ruminococcus flavefaciens and Rhodosporidium toruloides

LE Walls, P Otoupal, R Ledesma-Amaro… - Bioresource …, 2023 - Elsevier
In this study, organic acids were demonstrated as a promising carbon source for bisabolene
production by the non-conventional yeast, Rhodosporidium toruloides, at microscale with a …