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Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
International Journal of Chemical Engineering ( IF 2.3 ) Pub Date : 2019-11-23 , DOI: 10.1155/2019/2430234
Ana M. Sousa 1 , Thalles A. Andrade 2 , Massimiliano Errico 2 , José P. Coelho 3, 4 , Rui M. Filipe 1, 3 , Henrique A. Matos 1
Affiliation  

In line with the growing environmental awareness developed along the last decades, modern societies are urged to evolve into sustainable economics where the reuse of organic wastes represents the key feedstock for a green transaction. The oil phase obtained from different biomasses has the potential to be a source of food supplements, medicines, cosmetics, or feedstock for biofuel production. In the present work, the composition of 104 different biomasses including seeds, peels, flowers, plants, and leaves has been reviewed for the lipid content. Based on the most frequent fatty acids screened, experimental data for normal boiling point temperature, normal melting point, critical properties, and acentric factor were collected and compared with the most common estimation methods, which are functions of the molecular structure and interaction between different functional groups. New predictive equations have been proposed to reduce the estimation deviation and to provide simple correlations to be used in simulation software when dealing with biomass processes. For all the properties, the estimations proposed have an absolute average deviation equal to or lower than 4.6%.

中文翻译:

生物质中的脂肪酸含量:最新和新的物理性质估算方法

随着近几十年来对环境意识的不断提高,敦促现代社会发展成为可持续的经济学,其中有机废物的再利用代表了绿色交易的关键原料。从不同的生物质获得的油相可能会成为食品补充剂,药品,化妆品或生物燃料生产原料的来源。在目前的工作中,已审查了104种不同生物质的组成,包括种子,果皮,花朵,植物和树叶的脂质含量。根据最频繁筛选的脂肪酸,收集了正常沸点温度,正常熔点,临界特性和偏心因子的实验数据,并与最常用的估算方法进行了比较,它们是分子结构的功能以及不同官能团之间的相互作用。已经提出了新的预测方程,以减少估计偏差并提供简单的相关性,以便在处理生物质过程时在仿真软件中使用。对于所有属性,建议的估计值的绝对平均偏差等于或小于4.6%。
更新日期:2019-11-23
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