Factors Affecting Microalgae Production for Biofuels and the Potentials of Chemometric Methods in Assessing and Optimizing Productivity

被引:52
作者
Musa, Mutah [1 ]
Ayoko, Godwin A. [2 ]
Ward, Andrew [3 ,4 ]
Misch, Christine [5 ]
Brown, Richard J. [1 ]
Rainey, Thomas J. [1 ]
机构
[1] Queensland Univ Technol, Biofuel Engine Res Facil, Sch Chem Phys & Mech Engn, Sci & Engn Fac, Brisbane, Qld 4000, Australia
[2] Queensland Univ Technol, Environm Technol Discipline, Sch Chem Phys & Mech Engn, Sci & Engn Fac, Brisbane, Qld 4000, Australia
[3] Queensland Urban Util, Innovat Ctr, Main Beach Rd, Myrtletown, Qld 4008, Australia
[4] Univ Queensland, AWMC, Brisbane, Qld 4072, Australia
[5] Karlsruhe Inst Technol, Inst Technol Assessment & Syst Anal ITAS, D-76021 Karlsruhe, Germany
关键词
microalgae; chemometrics; lipids; biofuels; biorefinery; multivariate analysis; pattern recognition; process optimization; NANNOCHLOROPSIS-GADITANA INFLUENCE; LIPID PRODUCTION-RATES; OUTDOOR PILOT PRODUCTION; HYDROTHERMAL LIQUEFACTION; CULTURE PARAMETERS; MASS-SPECTROMETRY; RENEWABLE ENERGY; BIO-CRUDE; BIOMASS; GROWTH;
D O I
10.3390/cells8080851
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Microalgae are swift replicating photosynthetic microorganisms with several applications for food, chemicals, medicine and fuel. Microalgae have been identified to be suitable for biofuels production, due to their high lipid contents. Microalgae-based biofuels have the potential to meet the increasing energy demands and reduce greenhouse gas (GHG) emissions. However, the present state of technology does not economically support sustainable large-scale production. The biofuel production process comprises the upstream and downstream processing phases, with several uncertainties involved. This review examines the various production and processing stages, and considers the use of chemometric methods in identifying and understanding relationships from measured study parameters via statistical methods, across microalgae production stages. This approach enables collection of relevant information for system performance assessment. The principal benefit of such analysis is the identification of the key contributing factors, useful for decision makers to improve system design, operation and process economics. Chemometrics proffers options for time saving in data analysis, as well as efficient process optimization, which could be relevant for the continuous growth of the microalgae industry.
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页数:25
相关论文
共 117 条
[31]   Innovative harvesting processes for microalgae biomass production: A perspective from patent literature [J].
Deconinck, Nico ;
Muylaert, Koenraad ;
Ivens, Wilfried ;
Vandamme, Dries .
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 2018, 31 :469-477
[32]   The chemometric approach applied to FTIR spectral data for the analysis of lipid content in microalgae cultivated in different nitrogen sources [J].
Difusa, Amrita ;
Mohanty, K. ;
Goud, Vaibhav V. .
BIOMASS CONVERSION AND BIOREFINERY, 2016, 6 (04) :427-433
[33]   Anaerobic digestion of microalgal (Chlorella vulgaris) biomass as a source of biogas and biofertilizer [J].
Dogan-Subasi, Eylem ;
Demirer, Goksel N. .
ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2016, 35 (04) :936-941
[34]   Combined algal processing: A novel integrated biorefinery process to produce algal biofuels and bioproducts [J].
Dong, Tao ;
Knoshaug, Eric P. ;
Davis, Ryan ;
Laurens, Lieve M. L. ;
Van Wychen, Stefanie ;
Pienkos, Philip T. ;
Nagle, Nick .
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS, 2016, 19 :316-323
[35]   The financial feasibility of microalgae biodiesel in an integrated, multi-output production system [J].
Doshi, Amar ;
Pascoe, Sean ;
Coglan, Louisa ;
Rainey, Thomas .
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR, 2017, 11 (06) :991-1006
[36]   Investigating the Potential of Ion Mobility-Mass Spectrometry for Microalgae Biomass Characterization [J].
Fasciotti, Maira ;
Souza, Gustavo H. M. F. ;
Astarita, Giuseppe ;
Costa, Ingrid C. R. ;
Monteiro, Thays. V. C. ;
Teixeira, Claudia M. L. L. ;
Eberlin, Marcos N. ;
Sarpal, Amarijt S. .
ANALYTICAL CHEMISTRY, 2019, 91 (14) :9266-9276
[37]   New Features on the Environmental Regulation of Metabolism Revealed by Modeling the Cellular Proteomic Adaptations Induced by Light, Carbon, and Inorganic Nitrogen in Chlamydomonas reinhardtii [J].
Gerin, Stephanie ;
Leprince, Pierre ;
Sluse, Francis E. ;
Franck, Fabrice ;
Mathy, Gregory .
FRONTIERS IN PLANT SCIENCE, 2016, 7
[38]   Fourier transform infrared spectroscopy as a novel tool to investigate changes in intracellular macromolecular pools in the marine microalga Chaetoceros muellerii (Bacillariophyceae) [J].
Giordano, M ;
Kansiz, M ;
Heraud, P ;
Beardall, J ;
Wood, B ;
McNaughton, D .
JOURNAL OF PHYCOLOGY, 2001, 37 (02) :271-279
[39]  
Gollakota ARK, 2018, RENEW SUST ENERG REV, V81, P1378, DOI [10.1016/j.apenergy.2019.05.033, 10.1016/j.rser.2017.05.178]
[40]   Effect of nitrogen source on growth and lipid accumulation in Scenedesmus abundans and Chlorella ellipsoidea [J].
Gonzalez-Garcinuno, Alvaro ;
Tabernero, Antonio ;
Sanchez-Alvarez, Jose Ma ;
Martin del Valle, Eva M. ;
Galan, Miguel A. .
BIORESOURCE TECHNOLOGY, 2014, 173 :334-341