Christmas-tree Derived Amplification Immuno-strategy for Sensitive Visual Detection of Vibrio parahaemolyticus Based on Gold Label Silver Stain Technology

Christmas-tree Derived Amplification Immuno-strategy for Sensitive Visual Detection of Vibrio parahaemolyticus Based on Gold Label Silver Stain Technology
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基于金标银染技术的副溶血性弧菌圣诞树衍生扩增免疫策略

DOI:
10.2116/analsci.33.889
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发表时间:
2017-08
影响因子:
1.6
通讯作者:
Xiaohua Jiang
Xiaohua Jiang
中科院分区:
化学4区
文献类型:
--
作者:
Xinxin Song;Yanjie Wu;Lin Wu;Yufang Hu;Wenrou Li;Zhiyong Guo;Xiurong Su;Xiaohua Jiang

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研制了一种基于金标银染(GLSS)技术的圣诞树衍生免疫传感器,用于副溶血性弧菌(VP)的高灵敏分析。在该策略中,捕获的VP抗体(CAB)固定在固体底物上;然后,通过将检测VP抗体(DAB)连接的金纳米颗粒(AuNPs)标记的类石墨氮化碳(g-C3N4)与检测VP抗体(DAB)偶联的金纳米颗粒(AuNPs)孵育,用信号探针顺序标记VP。最后,附加的信号探头可以通过银粉沉积来采集可见信号,然后用自制的MatLab 6.0作为灰度值采集。此外,生物传感器的总体设计是建立在丰富的AuNPs和g-C3N4中,具有二维结构,提供了一个灯泡装饰的圣诞树模型。在优化的条件下,该生物传感器的检测下限低至102cfu(菌落形成单位)毫升−-1,比传统的免疫金法提高了两个数量级。此外,研制的可见免疫传感器还成功地应用于复杂样品的分析。
A developed Christmas-tree derived immunosensor based on a gold label silver stain (GLSS) technique was fabricated for a highly sensitive analysis of Vibrio parahaemolyticu (VP). In this strategy, captured VP antibody (cAb) was immobilized on a solid substrate; then, the VPs were sequentially tagged with a signal probe by incubating the assay with a detection VP antibody (dAb) conjugated gold nanoparticles (AuNPs)-labeled graphite-like carbon nitride (g-C3N4). Finally, the attached signal probe could harvest a visible signal by the silver meal deposition, and then followed by homebrew Matlab 6.0 as a grey value acquisition. In addition, the overall design of the biosensor was established in abundant AuNPs and g-C3N4 with a two-dimensional structure, affording a bulb-decorated Christmas-tree model. Moreover, with the optimized conditions, the detection limit of the as-proposed biosensor is as low as 102 CFU (Colony-Forming Units) mL−1, exhibiting an increase of two orders of magnitude compared with the traditional immune-gold method. Additionally, the developed visible immunosensor was also successfully applied to the analysis of complicated samples.
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