Impedimetric detection of bacteria by using a microfluidic chip and silver nanoparticle based signal enhancement

Mikrochimica acta(2018)

引用 37|浏览13
暂无评分
摘要
The authors describe a method that can significantly improve the performance of impedimetric detection of bacteria. A multifunctional microfluidic chip was designed consisting of interdigitated microelectrodes and a micro-mixing zone with a Tesla structure. This maximizes the coating of bacterial surfaces with nanoparticles and results in improved impedimetric detection. The method was applied to the detection of Escherichia coli O157:H7 ( E. coli ). Silver enhancement was accomplished by coating E.coli with the cationic polymer diallyldimethylammonium chloride (PDDA) to form positively charged E. coli /PDDA complexes. Then, gold nanoparticles (AuNPs) were added, and the resulting E. coli /PDDA/AuNPs complexes were collected at interdigitated electrodes via positive dielectrophoresis (pDEP). A silver adduct was then formed on the E. coli /PDDA/AuNP complexes by using silver enhancement solutions and by using the AuNPs as catalysts. The combination of pDEP based capture and of using silver adducts reduces impedance by increasing the conductivity of the solution and the double layer capacitance around the microelectrodes. Impedance decreases linearly in the 2 × 10 3 –2 × 10 5 cfu·mL −1 E. coli concentration range, with a 500 cfu·mL −1 detection limit. Egg shell wash samples and tap water spiked with E. coli were successfully used for validation, and this demonstrates the practical application of this method. Graphical abstract Schematic representation of the AuNP@Ag enhancement method integrated with multifunctional microfluidic chip platform for impedimetric quantitation of bacteria. The method significantly improves the performance of impedimetric detection of bacteria.
更多
查看译文
关键词
Interdigitated microelectrodes,Tesla structure,Electrochemical impedance spectroscopy,Positive dielectrophoresis,Escherichia coli O157:H7,Bacterial detection,Gold nanoparticles,Silver enhancement
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要