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Qiannan Duan

Showing results (1-10 of 32) with videos related to

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Water Science and Technology : a Journal of the International Association on Water Pollution Research|December 7, 2017
Preparation and catalytic performance of copper-containing magnetic catalysts for degradation of azo dye (direct violet)Qiannan Duan, Jianchao Lee, Han Chen, et al.
Talanta|September 5, 2024
Regeneratable bioinspired nanochannels for highly sensitive electrochemical detection of glycated albuminYahui Wang, Wenwen Xue, Qiannan Duan, et al.
Small Methods|March 3, 2025
Synthetic Biology-Based Strategy for Nanomedicine DesignXiangyun Zhang, Qiannan Duan, Jie Zhuang, et al.
Bulletin of Environmental Contamination and Toxicology|June 26, 2016
Distribution of Heavy Metal Pollution in Surface Soil Samples in China: A Graphical ReviewQiannan Duan, Jianchao Lee, Yansong Liu, et al.
Chemical Communications (Cambridge, England)|January 19, 2016
Fluorescence imaging technology (FI) for high-throughput screening of selenide-modified nano-TiO2 catalystsLiping Wang, Jianchao Lee, Meijuan Zhang, et al.
Analytical Methods : Advancing Methods and Applications|November 14, 2025
High-throughput spectral imaging combined with convolutional neural networks for simultaneous quantitative analysis of mixed anionic surfactants in aqueous environmentsHaoyu Wang, Jingzheng Lei, Qiannan Duan, et al.
The Science of the Total Environment|June 18, 2018
A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessmentQianqi Yang, Zhiyuan Li, Xiaoning Lu, et al.
Analytica Chimica Acta|January 1, 2021
Machine learning based on holographic scattering spectrum for mixed pollutants analysisQiannan Duan, Zhaoyi Xu, Shourong Zheng, et al.
Talanta|October 10, 2019
Machine learning for mixture toxicity analysis based on high-throughput printing technologyQiannan Duan, Yuan Hu, Shourong Zheng, et al.
Chemical Communications (Cambridge, England)|December 25, 2019
A color-spectral machine learning path for analysis of five mixed amino acidsQiannan Duan, Jianchao Lee, Shourong Zheng, et al.
Pageof 4

Showing results (1-10 of 32) with videos related to

Sort By:
Pageof 4
Water Science and Technology : a Journal of the International Association on Water Pollution Research|December 7, 2017
Preparation and catalytic performance of copper-containing magnetic catalysts for degradation of azo dye (direct violet)Qiannan Duan, Jianchao Lee, Han Chen, et al.
Talanta|September 5, 2024
Regeneratable bioinspired nanochannels for highly sensitive electrochemical detection of glycated albuminYahui Wang, Wenwen Xue, Qiannan Duan, et al.
Small Methods|March 3, 2025
Synthetic Biology-Based Strategy for Nanomedicine DesignXiangyun Zhang, Qiannan Duan, Jie Zhuang, et al.
Bulletin of Environmental Contamination and Toxicology|June 26, 2016
Distribution of Heavy Metal Pollution in Surface Soil Samples in China: A Graphical ReviewQiannan Duan, Jianchao Lee, Yansong Liu, et al.
Chemical Communications (Cambridge, England)|January 19, 2016
Fluorescence imaging technology (FI) for high-throughput screening of selenide-modified nano-TiO2 catalystsLiping Wang, Jianchao Lee, Meijuan Zhang, et al.
Analytical Methods : Advancing Methods and Applications|November 14, 2025
High-throughput spectral imaging combined with convolutional neural networks for simultaneous quantitative analysis of mixed anionic surfactants in aqueous environmentsHaoyu Wang, Jingzheng Lei, Qiannan Duan, et al.
The Science of the Total Environment|June 18, 2018
A review of soil heavy metal pollution from industrial and agricultural regions in China: Pollution and risk assessmentQianqi Yang, Zhiyuan Li, Xiaoning Lu, et al.
Analytica Chimica Acta|January 1, 2021
Machine learning based on holographic scattering spectrum for mixed pollutants analysisQiannan Duan, Zhaoyi Xu, Shourong Zheng, et al.
Talanta|October 10, 2019
Machine learning for mixture toxicity analysis based on high-throughput printing technologyQiannan Duan, Yuan Hu, Shourong Zheng, et al.
Chemical Communications (Cambridge, England)|December 25, 2019
A color-spectral machine learning path for analysis of five mixed amino acidsQiannan Duan, Jianchao Lee, Shourong Zheng, et al.
Pageof 4