Random forest algorithm-enhanced dual-emission molecularly imprinted fluorescence sensing method for rapid detection of pretilachlor in fish and water samples-Reference-Cited by-同舟云学术

Random forest algorithm-enhanced dual-emission molecularly imprinted fluorescence sensing method for rapid detection of pretilachlor in fish and water samples

Published:2022-10 Issue: Volume:439 Page:129591
ISSN:0304-3894
Container-title:Journal of Hazardous Materials
language:en
Short-container-title:Journal of Hazardous Materials

Author:

Liu Chenxi,Liao Jingxin,Zheng Yong,Chen Ying,Liu Hongsheng,Shi Xizhi

Funder

Key Technology Research and Development Program of Shandong

Ningbo Municipal Bureau of Science and Technology

Higher Education Discipline Innovation Project

Basic Public Welfare Research Program of Zhejiang Province

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

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4. Polyurea microencapsulate suspension: an efficient carrier for enhanced herbicidal activity of pretilachlor and reducing its side effects;Chen;J. Hazard. Mater.,2021

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