High-Throughput Recognition and Detection of Multiclass Antibiotics Based on Fluorescence-Ultraviolet Dual-Signal CQDs Sensor Array

已取消 30 由短发姑娘发布于 2026/9/11 10:33:54

DOI:10.1021/acs.analchem.6c03080
文献类型：期刊论文
补充材料：只需要正文
文献链接：https://doi.org/10.1021/acs.analchem.6c03080

American Chemical Society (ACS)

Abstract：The high structural similarity of antibiotics and interference from complex environmental matrices significantly hinder the precise identification and detection. Herein, carbon quantum dots

应助信息

1小时前

一羊万洗

374e44f2ad8a11f1b8af34735aa3bc31.pdf 已驳回

2小时前

Book学术机器人

2026/9/11 10:33:54 未找到该文献，机器人已退出，请等待人工下载

2026/9/11 10:33:54 Book学术AI机器人收到请求，开始寻找文献

2026/9/11 10:33:54 已向机器人发送请求

2小时前

短发姑娘发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:ElsevierPromoting vanadium redox flow battery performance by ultra-uniform ZrO2@C from metal-organic framework