MOE Joint International Research Laboratory of Animal Health and Food safety, Nanjing Agricultural University, Nanjing, 210095, China.
Hefei Customs Technical Center, Hefei, 230601, China.
Mikrochim Acta. 2020 Nov 5;187(12):642. doi: 10.1007/s00604-020-04619-7.
A molecularly imprinted electrochemical sensor for the detection of serum amyloid A (MAA) in milk was established for early diagnosis of subclinical mastitis in dairy cows. The electrochemical sensor was initially constructed using a nanocomposite material (reduced graphene oxide/gold nanoparticles, AuNPs@rGO) to modify the working electrode. The template protein, MAA, was then immobilized using pyrrole as the functional monomer to carry out the electropolymerization. Finally, the template protein was removed to form a molecular imprint film with the capability to qualitatively and quantitatively signaling of MAA. Cyclic voltammetry (CV), differential pulse voltammetry (DPV), and scanning electron microscopy (SEM) were used to characterize the modification process of the molecularly imprinted electrochemical sensors. Under optimized conditions, the sensor shows two well-behaved linear relationships in the MAA concentration range 0.01 to 200 ng/mL. A lower detection limit was estimated to be 5 pg/mL (S/N = 3). Other parameters including the selectivity, reproducibility (RSD 3.2%), and recovery rate (96.1-103%) are all satisfactory. Compared with the traditional methods, detection of MAA to determine the subclinical mastitis of dairy cows can efficiently be diagnosed and hence prevent an outbreak of dairy cow mastitis. The electrochemical sensor can detect MAA more rapidly, sensitively, and inexpensively than the ELISA-based MAA detection. These advantages indicate that the method is promising for early diagnosis of dairy cows.
建立了一种用于检测牛奶中血清淀粉样蛋白 A(MAA)的分子印迹电化学传感器,以用于奶牛亚临床乳腺炎的早期诊断。电化学传感器最初是使用纳米复合材料(还原氧化石墨烯/金纳米粒子,AuNPs@rGO)修饰工作电极构建的。然后,使用吡咯作为功能单体将模板蛋白 MAA 固定化以进行电聚合。最后,去除模板蛋白以形成具有定性和定量信号 MAA 能力的分子印迹膜。循环伏安法(CV)、差分脉冲伏安法(DPV)和扫描电子显微镜(SEM)用于表征分子印迹电化学传感器的修饰过程。在优化条件下,传感器在 MAA 浓度范围 0.01 至 200ng/mL 内显示出两个行为良好的线性关系。检测限估计为 5pg/mL(S/N=3)。其他参数,包括选择性、重现性(RSD 3.2%)和回收率(96.1-103%),都令人满意。与传统方法相比,通过检测 MAA 来确定奶牛的亚临床乳腺炎可以有效地进行诊断,从而防止奶牛乳腺炎的爆发。电化学传感器比基于 ELISA 的 MAA 检测更快速、更灵敏、更经济地检测 MAA。这些优势表明该方法有望用于奶牛的早期诊断。