Abstract
Bioactive compounds form different plant materials are used in a number of important pharmaceutical, food and chemical industries. Many conventional and unconventional methods are available to extract optimum yields of these bioactive compounds from various plant materials. This paper focuses on the extraction of bioactive compounds (crocin, geniposide and total phenolic compounds) from Gardenia (Gardenia jasminoides Ellis) by modeling the problem as a nonlinear optimization problem with multiple objectives. There are three objective functions each representing the maximizing of three bioactive compounds i.e. crocin, geniposide and total phenolic compounds. Each of the bioactive compounds are dependent on three factors namely: concentration of ethanol, extraction temperature and extraction time. The solution methodology is a recently proposed Laplacian Biofeographical Based Optimization. The results obtained are compared with previously reported results and show a significant improvement, thus exhibiting not only the superior performance of Laplacian Biogeographical Based Optimization, but also the complexity of the problem at hand.
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Garg, V., Deep, K. (2016). Optimal Extraction of Bioactive Compounds from Gardenia Using Laplacian Biogoegraphy Based Optimization. In: Kim, J., Geem, Z. (eds) Harmony Search Algorithm. Advances in Intelligent Systems and Computing, vol 382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-47926-1_24
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DOI: https://doi.org/10.1007/978-3-662-47926-1_24
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