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Isolation, identification and characterization of yeast species from coffee waste collected from Sidama and Gedio zone

机译:从Sidama和Gedio地区收集的咖啡废料中分离,鉴定和表征酵母菌种

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Coffee waste represents the most abundant waste in Ethiopia, this study aims to isolate, identify and characterize yeast from coffee waste in order to utilize in the biotechnological process. 25 merged coffee waste samples were collected from Sidama and Gedio zone. Yeast strain was cultured on yeast peptone dextrose and Biolog universal yeast agar media. Pure yeast cells were suspended in sterile water at 49+ turbidity, 100 μ L and transferred into 96 wells of the biolog yeast micro Plate and incubated at 26°C for 24 to 72 h and read by the Micro Station Reader at a single wavelength of 590 nm, results were recorded and processed for identification by micro log3 software ver. 4.20.05. Biolog microstation? acceptable? result? ≥ 75% Probability and? ≥ 0.5 similarity index value identified 5 yeast species, Hanseiaspora valbyensis, (100%PROB,0.707SIM,), Hyphopichia burtonii A (98%PROB,0.060SIM), Rhodotorula hylophila (98%PROB, 0.060SIM), Rhodotrula aurantiaca A (100% PROB, 0.505SIM) and Pichia amenthionina var. menthionina, (PROB 96% SIM,0.714). There was no report on yeasts associated with coffee waste in Ethiopia for utilization in biotechnological process. Therefore characterization of yeasts is very important for industrial and environmental application.
机译:咖啡废料是埃塞俄比亚最丰富的废料,本研究旨在从咖啡废料中分离,鉴定和鉴定酵母,以用于生物技术过程。从Sidama和Gedio地区收集了25个合并的咖啡废物样品。在酵母蛋白was葡萄糖和Biolog通用酵母琼脂培养基上培养酵母菌株。将纯酵母细胞以49+浊度,100μL悬浮在无菌水中,并转移到biolog酵母微孔板的96孔中,在26°C下孵育24至72 h,并通过Micro Station Reader在单波长下读取。 590 nm,记录结果并通过micro log3软件版本2进行识别处理。 4.20.05。 Biolog微型工作站?可以接受吗?结果? ≥75%概率? ≥0.5的相似性指数值可鉴定出5种酵母菌:华氏半孢霉(100%PROB,0.707SIM,),布氏短螺旋藻A(98%PROB,0.060SIM),嗜水红球菌(98%PROB,0.060SIM),红假单胞菌A( 100%PROB,0.505SIM)和Pichia amenthionina var。薄荷脑(PROB 96%SIM,0.714)。埃塞俄比亚尚无与咖啡废料有关的酵母用于生物技术过程的报道。因此,酵母的表征对于工业和环境应用非常重要。

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