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中国精品科技期刊2020
马立才,邢维维,于莹,等. 牛奶中喹诺酮类药物残留的AlphaLISA检测方法的研究[J]. 食品工业科技,2024,45(14):264−270. doi: 10.13386/j.issn1002-0306.2023080295.
引用本文: 马立才,邢维维,于莹,等. 牛奶中喹诺酮类药物残留的AlphaLISA检测方法的研究[J]. 食品工业科技,2024,45(14):264−270. doi: 10.13386/j.issn1002-0306.2023080295.
MA Licai, XING Weiwei, YU Ying, et al. AlphaLISA Detection Method for Quinolone Residues in Milk[J]. Science and Technology of Food Industry, 2024, 45(14): 264−270. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023080295.
Citation: MA Licai, XING Weiwei, YU Ying, et al. AlphaLISA Detection Method for Quinolone Residues in Milk[J]. Science and Technology of Food Industry, 2024, 45(14): 264−270. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2023080295.

牛奶中喹诺酮类药物残留的AlphaLISA检测方法的研究

AlphaLISA Detection Method for Quinolone Residues in Milk

  • 摘要: 本文旨在建立一种可检测牛奶中喹诺酮类药物(Quinolones,QNS)残留的均相光激化学发光免疫分析方法(Amplifiedluminescent proximity homogeneous assay linkedimmune sorbent assay,AlphaLISA)。采用EDC/NHS活泼酯法在诺氟沙星分子连接6-氨基己酸作为间隔臂,制备生物素修饰诺氟沙星半抗原(Biotin-6AS-NOR),并在受体微球上偶联QNS单克隆抗体,Biotin-6AS-NOR可与牛奶样品中的QNS竞争结合喹诺酮抗体;通过优化受体微球的QNS抗体偶联量,Biotin-6AS-NOR及供/受体微球的用量等参数,以及牛奶样品的稀释方案,建立了牛奶中QNS残留的AlphaLISA检测方法。采用1:5牛奶样品稀释方案,所建立牛奶中QNS残留的AlphaLISA检测方法的检出限和定量限分别为0.19 ng/mL和0.46 ng/mL,回收率在85.97%~110.11%之间,日内和日间变异系数均小于10%,与诺氟沙星、恩诺沙星、环丙沙星、氧氟沙星、培氟沙星、达氟沙星和洛美沙星的交叉反应率均高于70%。本研究所建立AlphaLISA检测方法具有灵敏度和准确度高、重复性好等优点,且在整个检测过程中不需要繁琐洗涤操作,具有较高的应用和推广价值。

     

    Abstract: This article aimed to establish an amplified luminescent proximity homogeneous assay linked immune sorbent assay (AlphaLISA) for detecting quinolones (QNS) residues in milk. The EDC/NHS active ester method was used to connect 6-aminocaproic acid as the spacer arm on the norfloxacin molecule to prepare biotin-modified norfloxacin hapten (Biotin-6AS-NOR), and QNS monoclonal antibody was coupled on the receptor microsphere. Biotin-6AS-NOR could compete with QNS in the sample to bind quinolone antibodies. A competitive indirect AlphaLISA for QNS residues in milk was established by optimizing the parameters including QNS antibody coupling amount on receptor microspheres, Biotin-6AS-NOR, the dosage of donor/receptor microspheres, and dilution schemes for milk samples. By using the 1:5 milk sample dilution scheme, the limit of detection and the limit of quantification of the established AlphaLISA for QNS in milk were 0.19 ng/mL and 0.46 ng/mL, respectively. The recovery values ranged from 85.97% and 110.11%, and the intraday and interday variation were both less than 10%. The cross-reactivity values for norfloxacin, enrofloxacin, ciprofloxacin, ofloxacin, pefloxacin, ofloxacin, and lomefloxacin were all higher than 70%. In conclusion, the established AlphaLISA showed high sensitivity, accuracy and good repeatability, without the need of tedious wash steps throughout the detection process; therefore, it is easy to achieve automated detection of chemical hazards residue in milk and has high application and promotion value.

     

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