Lectin-based impedimetric biosensor for differentiation of pathogenic candida species

Fungi stand out as primary pathogens present in healthcare-acquired infections, presenting an increased number of cases even using appropriate antifungal therapy. Candida spp. is a predominant microorganism among several fungal pathogens present in the healthcare setting. Candidemia and candidiasis are fungal infections responsible for high morbidity and mortality among ill patients in hospitals. It is noticeable that prolonged hospital stays lead to a higher economic impact and increased risk for developing secondary fungal or even bacterial infections. New fast and sensitive approaches for the detection of Candida species is highly required. Electrochemical biosensors are an excellent alternative to conventional techniques by combining fast analyte detection, low cost, and the possibility of miniaturization. Lectins are carbohydrate-binding proteins with the capability to reach out to the microorganism cell wall. In this work, we proposed the development of an impedimetric biosensor for Candida spp. based on Concanavalin A (ConA) and wheat germ agglutinin (WGA) as recognition agents of the yeast cells. Atomic force microscopy images indicate changes in the biosensor surface after assembly of the molecules and exposure to fungal samples. Electrochemical impedance spectroscopy results revealed a proportional increase of charge transfer resistance (RCT) as fungal CFU increased, where four Candida species were evaluated (Candida krusei, Candida tropicalis, Candida parapsilosis and Candida albicans). The biosensor is useful to differentiate Candida spp. with a detection limit between 102 to 106 CFU mL−1. The obtained biosensor appears as an innovative candidate for the detection and differentiation of pathogenic Candida spp. [Display omitted] •A new strategy to construct an electrochemical biosensor for Candida spp. has been achieved.•Two different lectin-based biosensors for selective discrimination of pathogenic Candida species were obtained.•ConA and WGA were able to detect and differentiate pathogenic Candida species.•We obtained sensors platforms with high sensitivity, selectivity and simple assembly process.