Please use this identifier to cite or link to this item: http://earchive.tpu.ru/handle/11683/50214
Title: Ultrasonication: An effective pre-treatment method for extracting lipid from Salvinia molesta for biodiesel production
Authors: Mubarak, M.
Shaija, A.
Suchithra, T. V.
Keywords: биодизели; автоклавирование; микроволновые печи; ультразвуковая обработка; метод Тагути
Issue Date: 2016
Publisher: Томский политехнический университет
Citation: Mubarak M. Ultrasonication: An effective pre-treatment method for extracting lipid from Salvinia molesta for biodiesel production / M. Mubarak, A. Shaija, T. V. Suchithra // Resource-Efficient Technologies. — 2016. — Vol. 2, Iss. 3. — [P. 126-132].
Abstract: Biodiesel is considered as one of the promising alternative fuels for diesel engines due its renewability and environment friendly nature. As the process of lipid extraction from the biomass consumes about 90% of the total energy spent for biodiesel production, an efficient and economic method is very important. The amount of lipid extracted from the biomass could be increased if it is pre-treated before the extraction process. This work was an attempt to compare the various pre-treatment methods before extracting lipids from dried Salvinia molesta (aquatic weed), such as autoclaving, microwaving, ultrasonication, sand, and glass grinding. After each pre-treatment method, Bligh and Dyer's method was used to measure the total lipid content in percentage dry weight (% dwt), which was then compared with the untreated S. molesta. It was found experimentally that the lipid yield was 19.97% dwt for ultrasonication > 16.60% dwt for microwaving > 16.46% dwt for glass grinding >16.26% dwt for sand grindin, > 15.72% dwt for autoclaving > 15.36% dwt for untreated. The one-way ANOVA with Tukey's test was then used to validate the experimental results and showed that ultrasonication method of pre-treatment was the most efficient and had resulted in the highest lipid yield among all the methods used which was followed by the microwaving method.
URI: http://earchive.tpu.ru/handle/11683/50214
ISSN: 2405-6537
Appears in Collections:Resource-Efficient Technologies

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