Rivas-Macho Ane, Eletxigerra Unai, Diez-Ahedo Ruth, Merino Santos, Sanjuan Antton, Bou-Ali M Mounir, Ruiz-Rubio Leire, Del Campo Javier, Vilas-Vilela José Luis, Goñi-de-Cerio Felipe, Olabarria Garbiñe
Gaiker, GAIKER Technology Centre, Basque Research and Technology Alliance, Zamudio 48170, Spain.
Surface Chemistry and Nanotechnologies Unit, Tekniker, Eibar 20600, Spain.
Heliyon. 2022 Dec 26;9(1):e12637. doi: 10.1016/j.heliyon.2022.e12637. eCollection 2023 Jan.
The aim of this work is the design and 3D printing of a new electrochemical sensor for the detection of based on loop mediated isothermal amplification (LAMP). The food related diseases involve a serious health issue all over the world. is one of the major problems of contaminated food, this pathogen causes a disease called listeriosis with a high rate of hospitalization and mortality. Having a fast, sensitive and specific detection method for food quality control is a must in the food industry to avoid the presence of this pathogen in the food chain (raw materials, facilities and products). A point-of-care biosensor based in LAMP and electrochemical detection is one of the best options to detect the bacteria and in a very short period of time. With the numerical analysis of different geometries and flow rates during sample injection in order to avoid bubbles, an optimized design of the microfluidic biosensor chamber was selected for 3D-printing and experimental analysis. For the electrochemical detection, a novel custom gold concentric-3-electrode consisting in a working electrode, reference electrode and a counter electrode was designed and placed in the bottom of the chamber. The LAMP reaction was optimized specifically for a primers set with a limit of detection of 1.25 pg of genomic DNA per reaction and 100% specific for detecting all 12 serotypes and no other Listeria species or food-related bacteria. The methylene blue redox-active molecule was tested as the electrochemical transducer and shown to be compatible with the LAMP reaction and very clearly distinguished negative from positive food samples when the reaction is measured at the end-point inside the biosensor.
这项工作的目的是设计并3D打印一种基于环介导等温扩增(LAMP)的新型电化学传感器,用于检测[具体检测对象未给出]。与食品相关的疾病在全球范围内都是一个严重的健康问题。[具体检测对象未给出]是受污染食品的主要问题之一,这种病原体可引发一种名为李斯特菌病的疾病,住院率和死亡率都很高。在食品工业中,拥有一种快速、灵敏且特异的检测方法以进行食品质量控制,对于避免这种病原体存在于食物链(原材料、设施和产品)中至关重要。基于LAMP和电化学检测的即时检测生物传感器是在极短时间内检测[具体检测对象未给出]细菌的最佳选择之一。通过对样品注入过程中不同几何形状和流速进行数值分析以避免气泡,选择了微流控生物传感器腔室的优化设计进行3D打印和实验分析。对于电化学检测,设计了一种新型定制的金同心三电极,包括工作电极、参比电极和对电极,并将其放置在腔室底部。LAMP反应针对一组引物进行了专门优化,检测限为每个反应1.25 pg基因组DNA,对所有12种[具体检测对象未给出]血清型的检测具有100%的特异性,且对其他李斯特菌属或与食品相关的细菌无检测反应。亚甲基蓝氧化还原活性分子作为电化学换能器进行了测试,结果表明它与LAMP反应兼容,并且当在生物传感器内的终点测量反应时,能非常清晰地区分阴性和阳性食品样品。