ACS biomaterials science & engineering
Jun 3, 2025
Microalgae robots are an emerging biohybrid microrobot that combines the biological properties of microalgae with microrobot technology and shows a wide range of applications in the medical field. In recent years, it has been found that microalgae ar...
Biohybrid microrobots, based on swimming microalgae, offer outstanding self-propulsion and functionalization capabilities, making them promising platforms for cargo loading and delivery. However, current technologies predominantly focus on in vitro n...
Meta-analysis and machine learning is used to investigate factors influencing variation in biomass productivity in outdoor algal systems. Understanding these factors is essential for optimizing algal systems. Mean productivity across the analysed stu...
The combination of Ca overload and reactive oxygen species (ROS) production for cancer therapy offers a superior solution to the lack of specificity in traditional antitumor strategies. However, current therapeutic platforms for this strategy are pri...
Motivated by the need of rapid detection of living microalgae cells in ship ballast water, this study is intended to determine the activities of microalgae using stained microscopic images and detect the living cells with image processing algorithms....
Small (Weinheim an der Bergstrasse, Germany)
Jan 13, 2025
Magnetic microrobots are significant platforms for targeted drug delivery, among which sperm-inspired types have attracted much attention due to their flexible undulation. However, mass production of sperm-like soft magnetic microrobots with high-spe...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jan 2, 2025
This study elucidates the utility and efficacy of UV-visible spectroscopy for the detection and characterization of biological contaminants within microalgae cultures, augmented by machine learning algorithms. Biological contamination, exemplified by...
Microalgal-bacteria biofilm shows great potential in low-cost greywater treatment. Accurately predicting treated greywater quality is of great significance for water reuse. In this work, machine learning models were developed for simulating and predi...
The development of sustainable and controlled microalgae bioprocesses relies on robust and rapid monitoring tools that facilitate continuous process optimization, ensuring high productivity and minimizing response times. In this work, we analyse the ...
Microplastics (MPs), the plastic debris smaller than 5 mm, are ubiquitous in waterbodies and have been shown to be toxic to aquatic organisms, especially to microalgae. The aim of this study is to use machine learning models to predict the effects of...
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