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作 者:Pablo Fernández Izquierdo Leslie Cerón Delagado Fedra Ortiz Benavides
机构地区:[1]Department of Biology,University of Nariño,Pasto,Colombia [2]School of Basic Sciences,Technology and Engineering,National Open and Distance University,Colombia
出 处:《Artificial Intelligence in Agriculture》2024年第3期32-44,共13页农业人工智能(英文)
摘 要:In this study,an Artificial Neural Network-Genetic Algorithm(ANN-GA)approachwas successfully applied to optimise the physicochemical factors influencing the synthesis of unsaturated fatty acids(UFAs)in the microalgae P.kessleri UCM 001.The optimized model recommended specific cultivation conditions,including glucose at 29 g/L,NaNO_(3)at 2.4 g/L,K_(2)HPO_(4)at 0.4 g/L,red LED light,an intensity of 1000 lx,and an 8:16-h light-dark cycle.Through ANN-GA optimisation,a remarkable 66.79%increase in UFAs production in P.kessleri UCM 001 was achieved,compared to previous studies.This underscores the potential of this technology for enhancing valuable lipid production.Sequential variations in the application of physicochemical factors during microalgae culture under mixotrophic conditions,as optimized by ANN-GA,induced alterations in UFAs production and composition in P.kessleri UCM 001.This suggests the feasibility of tailoring the lipid profile of microalgae to obtain specific lipids for diverse industrial applications.Themicroalgaewere isolated froma high-mountain lake in Colombia,highlighting their adaptation to extreme conditions.This underscores their potential for sustainable lipid and biomaterial production.This study demonstrates the effectiveness of using ANN-GA technology to optimise UFAs production in microalgae,offering a promising avenue for obtaining valuable lipids.Themicroalgae's unique origin in a high-mountain environment in Colombia emphasises the importance of exploring and harnessing microbial resources in distinctive geographical regions for biotechnological applications.
关 键 词:Artificial neural network(ANN) Genetic algorithm(GA) MICROALGAE Unsaturated fatty acids(UFAs) MIXOTROPHY
分 类 号:TP183[自动化与计算机技术—控制理论与控制工程]
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