Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms
Dionisio Lorenzo Lorenzo-Villegas,
Namra Vinay Gohil,
Paula Lamo,
Swathi Gurajala,
Iulia Cristina Bagiu,
Dan Dumitru Vulcanescu,
Florin George Horhat,
Virgiliu Bogdan Sorop,
Mircea Diaconu,
Madalina Ioana Sorop,
Andrada Oprisoni,
Razvan Mihai Horhat,
Monica Susan,
ArunSundar MohanaSundaram
Affiliations
Dionisio Lorenzo Lorenzo-Villegas
Faculty of Health Sciences, University Fernando Pessoa-Canarias, 35450 Santa Maria de Guia, Spain
Namra Vinay Gohil
Department of Internal Medicne, Medical College Baroda, Vadodara 390001, India
Paula Lamo
Escuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja, 26006 Logroño, Spain
Swathi Gurajala
College of Applied Medical Sciences in Jubail, Imam Abdulrahman bin Faisal University, Dammam 31441, Saudi Arabia
Iulia Cristina Bagiu
Department of Microbiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
Dan Dumitru Vulcanescu
Department of Microbiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
Florin George Horhat
Department of Microbiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania
Virgiliu Bogdan Sorop
Department of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
Mircea Diaconu
Department of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
Madalina Ioana Sorop
Doctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania
Andrada Oprisoni
Department of Pediatrics, Discipline of Pediatric Oncology and Hematology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
Razvan Mihai Horhat
Department of Conservative Dentistry and Endodontics, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, Romania
Monica Susan
Centre for Preventive Medicine, Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, Romania
ArunSundar MohanaSundaram
School of Pharmacy, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600119, India
Candida is the largest genus of medically significant fungi. Although most of its members are commensals, residing harmlessly in human bodies, some are opportunistic and dangerously invasive. These have the ability to cause severe nosocomial candidiasis and candidemia that affect the viscera and bloodstream. A prompt diagnosis will lead to a successful treatment modality. The smart solution of biosensing technologies for rapid and precise detection of Candida species has made remarkable progress. The development of point-of-care (POC) biosensor devices involves sensor precision down to pico-/femtogram level, cost-effectiveness, portability, rapidity, and user-friendliness. However, futuristic diagnostics will depend on exploiting technologies such as multiplexing for high-throughput screening, CRISPR, artificial intelligence (AI), neural networks, the Internet of Things (IoT), and cloud computing of medical databases. This review gives an insight into different biosensor technologies designed for the detection of medically significant Candida species, especially Candida albicans and C. auris, and their applications in the medical setting.
