Robotics & Machine Learning Daily News2024,Issue(Oct.31) :61-61.

Findings from Linyi University Has Provided New Data on Nanoplastics (Algae-base d Self-driven Microrobot for Efficient Removal of Nanoplastics From Water Enviro nment)

Robotics & Machine Learning Daily News2024,Issue(Oct.31) :61-61.

Findings from Linyi University Has Provided New Data on Nanoplastics (Algae-base d Self-driven Microrobot for Efficient Removal of Nanoplastics From Water Enviro nment)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Researchers detail new data in Nanotechnology - N anoplastics. According to news originatingfrom Linyi, People's Republic of Chin a, by NewsRx correspondents, research stated, "Nanoplastics (NPs)have the chara cteristics of various species, wide distribution, low concentration and difficul t degradation.In recent years, the researches of NPs have mainly focused on its toxicity, origin and migration, and thequantitative detection and removal tech nology of NPs is an urgent technical problem to be solved."Financial supporters for this research include National Natural Science Foundati on of China (NSFC),Natural Science Foundation of Shandong Province.Our news journalists obtained a quote from the research from Linyi University, " Here, an activebiohybrid microrobots (DPA-algae robots, diphenolic acids-alage robots) was designed and developed fordynamic removal of NPs in water environme nt. Firstly, diphenolic acids were functionalized on algaeto realize the specif ic adsorption of nanoplastics through hydrophobic force, electrostatic attractio nand van der Waals force between diphenolic acids and nanoplastic particles. Se condly, to realize therapid identification of NPs, the functionalized algae wer e assembled into microrobots through rapid clickchemistry reaction, thus the se lfpropulsion ability of algae can be utilized to accelerate the identificationa nd enrichment of target objects. The removal rate of nanoplastics by microalgae robots has increased to83.1 % at the concentration of 0.125 mg/ m L within 2 h compared with the unmodified algae, which is avery significant imp rovement. In addition, the removal rate was 84.1 % to 87.7 % in different media, sothe dynamic removal of NPs is expected to be applied into the filtration process of waterworks by preparinga large number of algae-based microrobots."

Key words

Linyi/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Nanoplastics/Nanotechnolo gy/Robotics/Linyi University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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