Numerical analysis of a multiproduct biorefinery on a chip: Exploiting acoustic waves to process the microalgae Tisochrysis lutea

Microalgae can provide a more sustainable alternative to traditional food systems which are dominated by terrestrial crops. The main economic challenges, however, relate to the downstream processing of microalgae and the valorization of their side streams. The present work explores the scientific principles and data required to develop an integrated biorefinery-on-a-chip, which replaces many of the common downstream processing unit operations by employing acoustic fields. The acoustic parameters of Tisochrysis lutea microalgal cells and their cell components are determined using the neutrally buoyant state method. Culture conditions which result in a high carbohydrate or high protein to lipid ratio led to a higher acoustic contrast factor than culture conditions favoring a high composition of lipids. The collected acoustic data is used as input in a numerical model which studies the harvesting of microalgal cells and the fractionation of microalgal cell components. High separation levels are achieved based on the size and composition of microalgal cells and the type of cell component. Subsequent studies are envisioned to determine the practical feasibility of applying these concepts and even scaling them out. Nevertheless, this study represents a steppingstone towards a novel, label-free approach to processing microalgal cells of different biomass compositions.

Authors

Institutions

Publication Details

Journal
Ultrasonics Sonochemistry
Published
2025-02-16
DOI
https://doi.org/10.1016/j.ultsonch.2025.107280
Citations
3
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
2.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical analysis of a multiproduct biorefinery on a chip: Exploiting acoustic waves to process the microalgae Tisochrysis lutea

René H. Wijffels, Jacques R.N. Kieffer, Hakan Kandemir, Michel H. M. Eppink et al.
3 citations
Ultrasonics Sonochemistry
Microfluidic and Bio-sensing Technologies
2.02
article

Numerical analysis of a multiproduct biorefinery on a chip: Exploiting acoustic waves to process the microalgae Tisochrysis lutea

René H. Wijffels, Jacques R.N. Kieffer, Hakan Kandemir, Michel H. M. Eppink, Iulian Zoltán Boboescu, Lars Stegemüller, Isa Sara Aimée Hiemstra
article en
3 citations

Abstract

Microalgae can provide a more sustainable alternative to traditional food systems which are dominated by terrestrial crops. The main economic challenges, however, relate to the downstream processing of microalgae and the valorization of their side streams. The present work explores the scientific principles and data required to develop an integrated biorefinery-on-a-chip, which replaces many of the common downstream processing unit operations by employing acoustic fields. The acoustic parameters of Tisochrysis lutea microalgal cells and their cell components are determined using the neutrally buoyant state method. Culture conditions which result in a high carbohydrate or high protein to lipid ratio led to a higher acoustic contrast factor than culture conditions favoring a high composition of lipids. The collected acoustic data is used as input in a numerical model which studies the harvesting of microalgal cells and the fractionation of microalgal cell components. High separation levels are achieved based on the size and composition of microalgal cells and the type of cell component. Subsequent studies are envisioned to determine the practical feasibility of applying these concepts and even scaling them out. Nevertheless, this study represents a steppingstone towards a novel, label-free approach to processing microalgal cells of different biomass compositions.

Ultrasonics SonochemistryVol. 114
Wageningen University & Research (NL), Aalto University (FI)
European Commission, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, HORIZON EUROPE Marie Sklodowska-Curie Actions
Openalex Percentile: Top 16%
Microfluidic and Bio-sensing Technologies
2.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.