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SERS-based microdevices for use as in vitro diagnostic biosensors 期刊论文
CHEMICAL SOCIETY REVIEWS, 2024, 页码: 34
作者:  Lee, Sungwoon;  Dang, Hajun;  Moon, Joung-Il;  Kim, Kihyun;  Joung, Younju;  Park, Sohyun;  Yu, Qian;  Chen, Jiadong;  Lu, Mengdan;  Chen, Lingxin;  Joo, Sang-Woo;  Choo, Jaebum
收藏  |  浏览/下载：70/0  |  提交时间：2024/05/23
SERS-based microdevices for use as in vitro diagnostic biosensors 期刊论文
CHEMICAL SOCIETY REVIEWS, 2024, 页码: 34
作者:  Lee, Sungwoon;  Dang, Hajun;  Moon, Joung-Il;  Kim, Kihyun;  Joung, Younju;  Park, Sohyun;  Yu, Qian;  Chen, Jiadong;  Lu, Mengdan;  Chen, Lingxin;  Joo, Sang-Woo;  Choo, Jaebum
收藏  |  浏览/下载：31/0  |  提交时间：2024/05/23
Exposure to heavy metal and antibiotic enriches antibiotic resistant genes on the tire particles in soil 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 卷号: 792, 页码: 9
作者:  Ding, Jing;  Zhu, Dong;  Wang, Yang;  Wang, Hongtao;  Liang, Aiping;  Sun, Hongwei;  Chen, Qinglin;  Lassen, Simon Bo;  Lv, Min;  Chen, Lingxin
Adobe PDF(652Kb)  |  收藏  |  浏览/下载：954/510  |  提交时间：2021/11/08
Plastisphere  Resistome  Microplastics  Antibiotic  
Multi-Walled Carbon Nanotubes for Magnetic Solid-Phase Extraction of Six Heterocyclic Pesticides in Environmental Water Samples Followed by HPLC-DAD Determination 期刊论文
MATERIALS, 2020, 卷号: 13, 期号: 24, 页码: 14
作者:  Ma, Jiping;  Hou, Liwei;  Wu, Gege;  Wang, Liyan;  Wang, Xiaoyan;  Chen, Lingxin
浏览  |  Adobe PDF(1909Kb)  |  收藏  |  浏览/下载：460/148  |  提交时间：2021/06/07
mag-multi-walled carbon nanotubes (mag-MWCNTs)  magnetic solid-phase extraction (MSPE)  heterocyclic pesticides  water samples  
SERS-active Au@Ag core-shell nanorod (Au@AgNR) tags for ultrasensitive bacteria detection and antibiotic-susceptibility testing 期刊论文
TALANTA, 2020, 卷号: 220, 页码: 8
作者:  Bi, Liyan;  Wang, Xiao;  Cao, Xiaowei;  Liu, Luying;  Bai, Congcong;  Zheng, Qingyin;  Choo, Jaebum;  Chen, Lingxin
浏览  |  Adobe PDF(6976Kb)  |  收藏  |  浏览/下载：621/269  |  提交时间：2021/06/16
Au@AgNR  SERS nanotag  Antibiotic susceptibility testing  Minimum inhibitory concentration  Principal component analysis