Nanobiotechnology for Diagnostics (Nb4D), Department of Chemical and Biomolecular Nanotechnology, Institute for Advanced Chemistry of Catalonia (IQAC), Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, Barcelona, 08034, Spain.
CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain.
Anal Bioanal Chem. 2024 Dec;416(30):7325-7336. doi: 10.1007/s00216-024-05481-9. Epub 2024 Aug 28.
The presence of antibiotic residues in cow's milk entails high risk for consumers, the dairy industry, and the environment. Therefore, the development of highly specific and sensitive screening tools for the rapid and cost-effective identification of traces of these compounds is urgently needed. A multiplexed screening platform utilizing DNA-directed immobilization (DDI) was developed aiming to detect three classes of antibiotic residues (fluoroquinolones, sulfonamides, and tylosin) prevalently found in milk. Throughout this work, each oligonucleotide sequence was conjugated to a different hapten molecule, while the three complementary strands were immobilized in 24 independent microarray chips on a single glass slide. First, the array was incubated with the pool of hapten-oligonucleotide conjugate site encoded the signal through DNA hybridization. Next, commercial milk samples were incubated with the cocktail of monoclonal antibodies following a secondary fluorophore-labeled antibody which was required for fluorescent readout. Direct sample detection was achieved in milk diluting 20 times in assay buffer. The limits of detection (LODs) reached were 1.43 µg kg, 1.67 µg kg, and 0.89 µg kg for TYLA, STZ, and CIP, respectively, which represented in raw milk 7.15 µg kg, 8.35 µg kg, and 4.45 µg kg for TYLA, STZ, and CIP, respectively, that are below the EU regulatory limits. Cross-reactivity profiles were evaluated against the family of structurally related antibiotics in order to demonstrate the capability to detect antibiotics from the same family of compounds. A pre-validation study was performed by spiking 20 blind samples above and below the maximum residue limits established by the EU guidelines. The system was successfully implemented towards randomized sample classification as compliant or non-compliant. The proposed DDI-based immunoarray provides a fast and cost-effective alternative to obtain semi-quantitative information about the presence of three veterinary residues simultaneously in milk samples.
牛奶中抗生素残留对消费者、奶制品行业和环境都存在高风险。因此,迫切需要开发高度特异性和灵敏性的筛选工具,以快速、经济有效地识别这些化合物的痕量。本研究开发了一种基于 DNA 定向固定(DDI)的多重筛选平台,旨在检测牛奶中三种常见抗生素残留(氟喹诺酮类、磺胺类和泰乐菌素)。在本工作中,每个寡核苷酸序列与不同的半抗原分子偶联,而三条互补链则固定在单个玻片上的 24 个独立微阵列芯片上。首先,将芯片与包含寡核苷酸偶联物结合位点的半抗原池孵育,通过 DNA 杂交对信号进行编码。接下来,用混合单克隆抗体孵育经二次荧光标记的抗体,以进行荧光读取。直接在缓冲液中稀释 20 倍的牛奶样本中即可实现直接检测。TYLA、STZ 和 CIP 的检测限(LOD)分别达到 1.43 µg kg、1.67 µg kg 和 0.89 µg kg,相当于原料奶中 7.15 µg kg、8.35 µg kg 和 4.45 µg kg,均低于欧盟监管限量。还评估了交叉反应谱,以证明从同一类化合物中检测抗生素的能力。通过在欧盟指南规定的最大残留限量之上和之下添加 20 个盲样进行了预验证研究。该系统成功地实现了随机样本分类,分为符合或不符合规定。基于 DDI 的免疫阵列提供了一种快速、经济有效的替代方法,可同时获得牛奶样品中三种兽药残留的半定量信息。