Food Chemistry ( IF 8.8 ) Pub Date : 2021-10-06 , DOI: 10.1016/j.foodchem.2021.131322 Bing Liu 1 , Jiaxuan Peng 1 , Qiuyue Wu 1 , Yaoshuai Zhao 1 , Hua Shang 1 , Shuo Wang 2
In this work, based on a specific antibody was obtained from the Protein Data Bank (PDB), a library of the specific peptides of aflatoxin B1 (AFB1) was constructed by combining key amino acids, amino acid mutations and molecular docking. Then, the porous gold nanoparticles (porous AuNPs) were fabricated on the surface of a glassy carbon electrode (GCE). A novel, sensitive and no-label signal immunosensor was developed by signal enhancement with the specific peptide as the recognition element for the detection of AFB1 in cereals. Under the optimal conditions, the limit of detection (S/N = 3) was 9.4 × 10−4 μg·L−1, and the linear range was 0.01 μg·L−1 to 20 μg·L−1. The recovery results were 88.4%∼102.0%, which indicated an excellent accuracy. This sensor is an ideal candidate for screening the peptides of AFB1, and a novel immunosensor was used to detect AFB1 in cereals.
中文翻译:
分子模拟筛选特定肽段的新方法及谷物中黄曲霉毒素B1电化学免疫传感器的研制
本工作基于从蛋白质数据库(PDB)中获取的特异性抗体,结合关键氨基酸、氨基酸突变和分子对接,构建了黄曲霉毒素B1(AFB1)特异性肽库。然后,在玻璃碳电极(GCE)的表面上制造多孔金纳米粒子(多孔金纳米粒子)。以特异性肽作为识别元件,通过信号增强开发了一种新型、灵敏且无标记的信号免疫传感器,用于检测谷物中的 AFB1。在最佳条件下,检测限(S/N = 3)为9.4 × 10 -4 μg·L -1,线性范围为0.01 μg·L -1至20 μg·L -1. 回收率结果为 88.4%~102.0%,表明其具有良好的准确度。该传感器是筛选 AFB1 肽的理想候选者,一种新型免疫传感器用于检测谷物中的 AFB1。