The purpose of this research work is to isolate and identify Using ID 32C API kit and to determine the antifungal sensitivity profile of fungi isolated from the mother and child dump site Akure, Ondo state, Nigeria. Ten isolates (Yeast, Aspergiliusflavus, Aspergiliusniger, Fusariumsolani, Candida albucan, Candida kruise, Phytoptera, Rhizopusstolonifer, Trichodermhorizianum,Fusariumvortezelium) were used for this research work.Potato Dextrose Agar was used to isolate and prepared for enumerated count for fungi colonies. Identification of isolates was performed using API KIT ID 32C. Antibiotics susceptibility testing were observed, to determine the antibiogram profile of the isolated fungi, it was observed that zone of inhibition is higher by 70% resistance to fluconazole and lower by 10% of the fungi susceptibly to texbinazole and miconazole respectively. Also the average total count range from 1.6×104cfu/g to 4.6×104cfu/g.These finding reinforce the potential risk of waste handling and point out the need for safe management of solid waste,to minimize the spread of these infectious agent in the environment. Filamentous fungi isolation in almost all sample from the environment indicate that a periodic monitoring of airborne microbiota in the health care service environment is required. This result showed that all fungi isolated from the solid hospital waste were resistant to more than one antibiotic during the course of the research work.
Osuntokun, D., O.A, T & O.O., I (2018). Use of the Biomerieux id 32c Fungal Identification System for Fungal Isolated from Mother and Child Hospital Dump Site in Akure, Ondo State Nigeria. Afribary. Retrieved from https://tracking.afribary.com/works/use-of-the-biomerieux-id-32c-fungal-identification-system
Osuntokun, Dr Oludare temitope, et. al. "Use of the Biomerieux id 32c Fungal Identification System for Fungal Isolated from Mother and Child Hospital Dump Site in Akure, Ondo State Nigeria" Afribary. Afribary, 24 Mar. 2018, https://tracking.afribary.com/works/use-of-the-biomerieux-id-32c-fungal-identification-system. Accessed 22 Nov. 2024.
Osuntokun, Dr Oludare temitope, Thonda O.A and Ige O.O. . "Use of the Biomerieux id 32c Fungal Identification System for Fungal Isolated from Mother and Child Hospital Dump Site in Akure, Ondo State Nigeria". Afribary, Afribary, 24 Mar. 2018. Web. 22 Nov. 2024. < https://tracking.afribary.com/works/use-of-the-biomerieux-id-32c-fungal-identification-system >.
Osuntokun, Dr Oludare temitope, Thonda O.A and Ige O.O. . "Use of the Biomerieux id 32c Fungal Identification System for Fungal Isolated from Mother and Child Hospital Dump Site in Akure, Ondo State Nigeria" Afribary (2018). Accessed November 22, 2024. https://tracking.afribary.com/works/use-of-the-biomerieux-id-32c-fungal-identification-system