Applicability of unconventional energy raw materials in ethanol production

来自 EBSCO

阅读量:

30

摘要:

Background. The difficult position of Polish agriculture, including one of its branches, i.e. sugar industry, is conducive of search for solutions aiming at an improvement of the condition of industry. One of the potential solutions in this respect may be to focus on alternative raw materials and search for ways to overcome recession in renewable energy sources. The aim of this work was to evaluate the possibilities of using non-starchy materials amp;ndash; sugar materials, without enzymatic treatment for ethanol production using selected yeast strains.#xD; Material and methods. Sugar beet pulp and thick juice, as a semi product from sugar beet, were fermented. The efficiency of the process was assessed using two Saccharomyces cerevisiae preparations amp;ndash; Ethanol Red, Fermiol. Fermentation was run for 72 h at 30amp;deg;C. Quality of produced raw distillates was evaluated using the GC method.#xD; Results. The research on fermentation processes showed that sugar beet pulp let obtain higher ethanol yield amp;ndash; 87% of theoretical than sugar beet thick juice amp;ndash; 84% of theoretical, both for Ethanol Red and Fermiol yeast preparations. Moreover, it was exhibited that the increase of sugar concentration in the fermentation medium obtained from thick juice, statistically importantly influenced ethanol yield decrease, for both yeast preparations. The distillatesamp;rsquo; quality analysis showed the influence of raw materials and microorganism used for fermentation on pollution degree. Distillate obtained from thick juice was characterised with the lowest by-products content after fermentation with Ethanol Red.#xD; Conclusions. The results make additional possibilities for sugar beet utilization in distillery industry and new markets using production surpluses both for sugar beet and its semi-product amp;ndash; thick juice.#xD;

展开

被引量:

11

年份:

2009

通过文献互助平台发起求助,成功后即可免费获取论文全文。

相似文献

参考文献

引证文献

辅助模式

0

引用

文献可以批量引用啦~
欢迎点我试用!

关于我们

百度学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们保持学习的态度,不忘初心,砥砺前行。
了解更多>>

友情链接

百度云百度翻译

联系我们

合作与服务

期刊合作 图书馆合作 下载产品手册

©2025 Baidu 百度学术声明 使用百度前必读

引用