Abstract
Biodiesel production from sustainably cultivated plant sources holds extremely high promise globally [6]. Microalgae have been intensely explored as a next-generation source for transport fuel production [9], as they combine attractive characteristics: rapid growth, high lipid content, and environmental benefits. Nevertheless, technical challenges abound regarding the feedstock potential, cultivation process, and its fatty acid mono-alkyl ester (FAME) properties. Performance evaluations for specific microalgal strains [2, 4, 10, 15] are thus of particular interest. The case of Indonesia is particularly significant due to the country's large size, population, biodiversity of terrestrial and marine plant species, and the variety of microalgae that can be harvested and used on an industrial scale for biodiesel production, especially in different media and cultivation methods. Many strains, such as Botryococcus braunii, Chlorella sp., Chlamydomonas sp., and Nannochloropsis sp., have a high identified potential [1, 5]. This paper presents the implementation of an established statistical methodology (Principal Component Analysis, PCA) to evaluate the potential of some nitrogen sources for sustainable biodiesel production from Indonesian microalgae strains.