Recent Advances in Microfluidics-Based Electrochemical Sensors for Foodborne Pathogen Detection.
Madhusudan B KulkarniNarasimha H AyachitTejraj M AminabhaviPublished in: Biosensors (2023)
Using pathogen-infected food that can be unhygienic can result in severe diseases and an increase in mortality rate among humans. This may arise as a serious emergency problem if not appropriately restricted at this point of time. Thus, food science researchers are concerned with precaution, prevention, perception, and immunity to pathogenic bacteria. Expensive, elongated assessment time and the need for skilled personnel are some of the shortcomings of the existing conventional methods. Developing and investigating a rapid, low-cost, handy, miniature, and effective detection technology for pathogens is indispensable. In recent times, there has been a significant scope of interest for microfluidics-based three-electrode potentiostat sensing platforms, which have been extensively used for sustainable food safety exploration because of their progressively high selectivity and sensitivity. Meticulously, scholars have made noteworthy revolutions in signal enrichment tactics, measurable devices, and portable tools, which can be used as an allusion to food safety investigation. Additionally, a device for this purpose must incorporate simplistic working conditions, automation, and miniaturization. In order to meet the critical needs of food safety for on-site detection of pathogens, point-of-care testing (POCT) has to be introduced and integrated with microfluidic technology and electrochemical biosensors. This review critically discusses the recent literature, classification, difficulties, applications, and future directions of microfluidics-based electrochemical sensors for screening and detecting foodborne pathogens.
Keyphrases
- label free
- low cost
- loop mediated isothermal amplification
- gold nanoparticles
- human health
- public health
- gram negative
- emergency department
- molecularly imprinted
- ionic liquid
- multidrug resistant
- real time pcr
- healthcare
- deep learning
- antimicrobial resistance
- cardiovascular events
- machine learning
- candida albicans
- cardiovascular disease
- high throughput
- coronary artery disease
- sensitive detection
- circulating tumor cells