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基于纸的荧光免疫分析用于在牛奶中检测诺氟沙星,灵敏度和选择性高,可达皮克级。

Paper-based fluorescent immunoassay for highly sensitive and selective detection of norfloxacin in milk at picogram level.

机构信息

Institute of Advanced Materials (IAM) & Key Laboratory of Flexible Electronics (KLOFE), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China.

Institute of Advanced Materials (IAM) & Key Laboratory of Flexible Electronics (KLOFE), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing Tech University (NanjingTech), 30 South Puzhu Road, Nanjing 211816, PR China.

出版信息

Talanta. 2019 Apr 1;195:333-338. doi: 10.1016/j.talanta.2018.11.073. Epub 2018 Nov 24.

Abstract

Norfloxacin (NOR) in milk may influence mammalian cell replication and bring about a decrease in the efficiency for treating infection in humans. However, current techniques for detecting NOR usually require expensive instruments and trained personnel. In this work, we have developed a low-cost and simple method via paper-based fluorescent immunoassay for highly sensitive and selective detection of NOR in milk at picogram level. The NOR monoclonal antibody labeled with quantum dots is used as a detection probe to recognize the corresponding NOR, which can quantitatively detect NOR on paper-based devices. The detection limits in aqueous solution and milk are 1 pg/mL and 10 pg/mL, respectively. The developed paper-based method provides a cheap, sensitive, eco-friendly, and rapid approach for quantitative detection of trace NOR in milk, which may find wide applications in food safety inspection. Noteworthy, the method is especially suitable for applications at resource-limited and on-site settings.

摘要

牛奶中的诺氟沙星(NOR)可能会影响哺乳动物细胞的复制,降低人类治疗感染的效率。然而,目前检测 NOR 的技术通常需要昂贵的仪器和经过培训的人员。在这项工作中,我们开发了一种基于纸张的荧光免疫分析的低成本、简单方法,可在皮克级水平上高度灵敏和选择性地检测牛奶中的 NOR。用量子点标记的 NOR 单克隆抗体被用作检测探针来识别相应的 NOR,从而可以在基于纸张的设备上定量检测 NOR。在水溶液和牛奶中的检测限分别为 1pg/mL 和 10pg/mL。所开发的基于纸张的方法为定量检测牛奶中的痕量 NOR 提供了一种廉价、灵敏、环保和快速的方法,可能在食品安全检测中得到广泛应用。值得注意的是,该方法特别适用于资源有限和现场设置的应用。

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