AIMC Topic: Microalgae

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Advances in microbial biotechnology for sustainable wastewater reclamation: recent trends and future prospects.

World journal of microbiology & biotechnology
The growing demand for freshwater, coupled with the increasing volume of industrial and municipal wastewater, has intensified the need for sustainable and eco-friendly reclamation strategies. Recent advancements in microbial biotechnology have emerge...

A hybrid ACO-random forest optimization framework for scalable microalgae biomass estimation using multispectral imaging.

Environmental monitoring and assessment
Accurate estimation of algal biomass is essential for monitoring ecosystem productivity, managing aquaculture systems, and optimizing bioresource applications. However, traditional in situ methods are labor-intensive and spatially limited, while remo...

Microalgae-based bioremediation of emerging contaminants: techniques, recent developments, and future perspectives.

Archives of microbiology
Rapid industrialisation, urbanisation, and agricultural chemical fertilizer expansion have raised concerns over the accumulation and biomagnification of recalcitrant and emerging contaminants. Often, these compounds are resistant to degradation, and ...

From passive prevention to proactive intervention: An AI-assisted integrated governance system for algal bloom monitoring and control.

Environmental research
Algal blooms, characterized by the excessive proliferation of microalgae in a freshwater or marine ecosystem, have evolved into a global ecological, health and economic crisis, which is often accompanied by the release of toxins and the damage of the...

HySwinFormer: A hybrid deep learning architecture for fine-grained classification of marine microalgae.

The Science of the total environment
Accurate identification of microalgae is vital for marine ecological monitoring, algal bloom early warning, and environmental management. However, existing methods often struggle with misclassification due to the morphological similarity and biologic...

Data-driven machine learning modeling reveals the impact of micro/nanoplastics on microalgae and their key underlying mechanisms.

Journal of hazardous materials
Micro- and nano-plastics (MNPs) pose a growing threat to freshwater microalgae, leading to water quality and biodiversity. Traditional experiments often encounter difficulties in terms of cost, time, and capturing complex interactions when exploring ...

Recent Advances in Microalgae Robots for Biomedical Applications.

ACS biomaterials science & engineering
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...

Dual-Stage Propulsion Strategy for Microalgae-Based Biohybrid Microrobots.

ACS applied materials & interfaces
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...

Unveiling the factors shaping variability in biomass productivity: Meta-analysis of outdoor pilot-scale microalgal cultures.

Bioresource technology
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...

Living Microalgae-Based Magnetic Microrobots for Calcium Overload and Photodynamic Synergetic Cancer Therapy.

Advanced healthcare materials
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...