Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms
<i>Candida</i> 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...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-10-01
|
| Series: | Life |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1729/13/10/2099 |
| _version_ | 1797573241849511936 |
|---|---|
| author | 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 |
| author_facet | 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 |
| author_sort | Dionisio Lorenzo Lorenzo-Villegas |
| collection | DOAJ |
| description | <i>Candida</i> 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 <i>Candida</i> 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 <i>Candida</i> species, especially <i>Candida albicans</i> and <i>C. auris</i>, and their applications in the medical setting. |
| first_indexed | 2024-03-10T21:07:02Z |
| format | Article |
| id | doaj.art-95bea71267d740bf83e70db2aeee436c |
| institution | Directory Open Access Journal |
| issn | 2075-1729 |
| language | English |
| last_indexed | 2024-03-10T21:07:02Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Life |
| spelling | doaj.art-95bea71267d740bf83e70db2aeee436c2023-11-19T17:07:24ZengMDPI AGLife2075-17292023-10-011310209910.3390/life13102099Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic OrganismsDionisio Lorenzo Lorenzo-Villegas0Namra Vinay Gohil1Paula Lamo2Swathi Gurajala3Iulia Cristina Bagiu4Dan Dumitru Vulcanescu5Florin George Horhat6Virgiliu Bogdan Sorop7Mircea Diaconu8Madalina Ioana Sorop9Andrada Oprisoni10Razvan Mihai Horhat11Monica Susan12ArunSundar MohanaSundaram13Faculty of Health Sciences, University Fernando Pessoa-Canarias, 35450 Santa Maria de Guia, SpainDepartment of Internal Medicne, Medical College Baroda, Vadodara 390001, IndiaEscuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja, 26006 Logroño, SpainCollege of Applied Medical Sciences in Jubail, Imam Abdulrahman bin Faisal University, Dammam 31441, Saudi ArabiaDepartment of Microbiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, RomaniaDepartment of Microbiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, RomaniaDepartment of Microbiology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, RomaniaDepartment of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, RomaniaDepartment of Obstetrics and Gynecology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, RomaniaDoctoral School, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, RomaniaDepartment of Pediatrics, Discipline of Pediatric Oncology and Hematology, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, RomaniaDepartment of Conservative Dentistry and Endodontics, Faculty of Dental Medicine, “Victor Babes” University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square 2, 300041 Timisoara, RomaniaCentre for Preventive Medicine, Department of Internal Medicine, “Victor Babes” University of Medicine and Pharmacy, Eftimie Murgu Square, No. 2, 300041 Timisoara, RomaniaSchool of Pharmacy, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai 600119, India<i>Candida</i> 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 <i>Candida</i> 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 <i>Candida</i> species, especially <i>Candida albicans</i> and <i>C. auris</i>, and their applications in the medical setting.https://www.mdpi.com/2075-1729/13/10/2099<i>Candida</i>biosensordiagnosticfungirapid detection |
| spellingShingle | 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 Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms Life <i>Candida</i> biosensor diagnostic fungi rapid detection |
| title | Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms |
| title_full | Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms |
| title_fullStr | Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms |
| title_full_unstemmed | Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms |
| title_short | Innovative Biosensing Approaches for Swift Identification of <i>Candida</i> Species, Intrusive Pathogenic Organisms |
| title_sort | innovative biosensing approaches for swift identification of i candida i species intrusive pathogenic organisms |
| topic | <i>Candida</i> biosensor diagnostic fungi rapid detection |
| url | https://www.mdpi.com/2075-1729/13/10/2099 |
| work_keys_str_mv | AT dionisiolorenzolorenzovillegas innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT namravinaygohil innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT paulalamo innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT swathigurajala innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT iuliacristinabagiu innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT dandumitruvulcanescu innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT floringeorgehorhat innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT virgiliubogdansorop innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT mirceadiaconu innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT madalinaioanasorop innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT andradaoprisoni innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT razvanmihaihorhat innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT monicasusan innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms AT arunsundarmohanasundaram innovativebiosensingapproachesforswiftidentificationoficandidaispeciesintrusivepathogenicorganisms |