Rye and Oat Agricultural Wastes as Substrate Candidates for Biomass Production of the Non-Conventional Yeast Yarrowia lipolytica
Katarzyna Drzymała , Aleksandra Mirończuk , Witold Pietrzak , Adam Dobrowolski
AbstractThe aim of this study was to test rye straw, rye bran and oat bran hydrolysates as substrates for growth of the yeast Yarrowia lipolytica, a microorganism known to have large biotechnological potential. First, after the combined process of acid-enzymatic hydrolysis, the concentration and composition of fermentable monosaccharides in the obtained hydrolysates were analyzed. Glucose was the main sugar, followed by xylose and arabinose. Rye bran hydrolysate had the highest sugar content—80.8 g/L. The results showed that this yeast was able to grow on low-cost medium and produce biomass that could be used as a feed in the form of single cell protein. The biomass of yeast grown in oat bran hydrolysate was over 9 g/L after 120 h, with the biomass total yield and total productivity values of 0.141 g/g and 0.078 g/h, respectively. The protein contents in yeast biomass were in the range of 30.5–44.5% of dry weight. Results obtained from Y. lipolytica cultivated in rye bran showed high content of exogenous amino acid (leucine 3.38 g, lysine 2.93 g, threonine 2.31 g/100 g of dry mass) and spectrum of unsaturated fatty acid with predominantly oleic acid—59.28%. In conclusion, these results demonstrate that lignocellulosic agricultural waste, after hydrolysis, could be efficiently converted to feed-related yeast biomass.
|Journal series||Sustainability, ISSN 2071-1050, (N/A 70 pkt)|
|Publication size in sheets||0.55|
|Keywords in English||Agricultural wastes, Biomass production, Yarrowia lipolytica|
|ASJC Classification||; ;|
|License||Journal (articles only); published final; ; with publication|
|Score||= 70.0, 20-04-2021, ArticleFromJournal|
|Publication indicators||= 1; = 1; : 2016 = 0.911; : 2018 = 2.592 (2) - 2018=2.801 (5)|
|Citation count*||2 (2021-05-01)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.