Nano-Biosensors Lab, Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA.
Global Alliance for Rapid Diagnostics, Michigan State University, East Lansing, MI 48824, USA.
Biosensors (Basel). 2022 Apr 26;12(5):274. doi: 10.3390/bios12050274.
Rapid detection of foodborne pathogens such as O157 is essential in reducing the prevalence of foodborne illness and subsequent complications. Due to their unique colorimetric properties, gold nanoparticles (GNPs) can be applied in biosensor development for affordability and accessibility. In this work, a GNP biosensor was designed for visual differentiation between target ( O157:H7) and non-target DNA samples. Results of DNA extracted from pure cultures indicate high specificity and sensitivity to as little as 2.5 ng/µL O157 DNA. Further, the biosensor successfully identified DNA extracted from flour contaminated with O157, with no false positives for flour contaminated with non-target bacteria. After genomic extraction, this assay can be performed in as little as 30 min. In addition, food sample testing was successful at detecting approximately 10 CFU/mL of O157 magnetically extracted from flour after only a 4 h incubation step. As a proof of concept, these results demonstrate the capabilities of this GNP biosensor for low-cost and rapid foodborne pathogen detection.
快速检测食源性病原体,如 O157,对于降低食源性疾病的发病率和随后的并发症至关重要。由于金纳米粒子(GNPs)具有独特的比色性质,因此可应用于生物传感器的开发,以实现可负担性和可及性。在这项工作中,设计了一种 GNP 生物传感器,用于对目标(O157:H7)和非目标 DNA 样本进行视觉区分。从纯培养物中提取的 DNA 的结果表明,对低至 2.5 ng/µL 的 O157 DNA 具有高度特异性和灵敏度。此外,该生物传感器成功识别了受 O157 污染的面粉中提取的 DNA,而受非目标细菌污染的面粉则没有假阳性。基因组提取后,该检测方法可在 30 分钟内完成。此外,在仅孵育 4 小时后,从面粉中磁性提取的约 10 CFU/mL 的 O157 可成功进行食品样本检测。作为概念验证,这些结果表明该 GNP 生物传感器具有用于低成本和快速食源性病原体检测的能力。