Robotics & Machine Learning Daily News2024,Issue(MAY.22) :12-13.

Ocean University of China Reports Findings in Machine Learning (Improving the de tection accuracy of the dual SERS aptasensor system with uncontrollable SERS 'ho t spot' using machine learning tools)

Robotics & Machine Learning Daily News2024,Issue(MAY.22) :12-13.

Ocean University of China Reports Findings in Machine Learning (Improving the de tection accuracy of the dual SERS aptasensor system with uncontrollable SERS 'ho t spot' using machine learning tools)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Shandong, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Simultaneous detecti on of food contaminants is crucial in addressing the collective health hazards a rising from the presence of multiple contaminants. However, traditional multi-co mpetitive surface-enhanced Raman scattering (SERS) aptasensors face difficulties in achieving simultaneous accurate detection of multiple target substances due to the uncontrollable SERS ‘hot spots’.”

Key words

Shandong/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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