Application of statistical processes in improving lipid production by native oleaginous yeast Rhodotorula spp. strain Yr2

• Main Authors: Hossein Qanavati, Azadeh Abdoli, Iraj Nahvi, Marjan Enshaniyeh, Mahboubeh Madani
• Format: Article
• Language: fas
• Published: Shahid Bahonar University of Kerman 2013-05-01
• Series: مجله بیوتکنولوژی کشاورزی
• Subjects: microbial lipid; factorial optimization method; taguchi method
• Online Access: https://jab.uk.ac.ir/article_1193_41dd3433f7cff22acc10970db1f8ab8a.pdf
• ISSN: 2228-6705; 2228-6500

In this study, the factorial optimization method and designing of experiments by the Taguchi method were applied for optimization of lipid production by a native oleaginous yeast <em>Rhodotorula</em> spp. strain Yr2. The factors investigated were temperature, aeration, nitrogen source, carbon source, pH and incubation time. Based on results obtained by factorial optimization method, maximum production (8.9 g/L) was achieved with ammonium sulfate (1g/L) as nitrogen source, glucose (90g/L) as carbon source, at 25^°C, aeration speed of 150rpm, incubation time of 96h and at pH 6. Whereas using the Taguchi method, the predicted optimal conditions were ammonium sulfate (1g/L) as nitrogen source, glucose (75g/L) as carbon source, at 25^°C, aeration speed of 150rpm, incubation time of 72h and at pH 6.5. The amount of lipid production predicted by the software under these conditions was 11.052 g/L. and in the predicted case, 95% of the predicted value was achieved (10.49 g/L). The ANOVA results obtained with the Taguchi design showed that time; the amount of carbon, temperature, pH and nitrogen levels, respectively had the highest effects on lipid production in descending order. In conclusion, the application of the Taguchi method in compared with one factorial method led to increased lipid production by 1.59 g/L or 18%.