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Review

Analysis and Modeling of Innovations in the Global Microalgae Lipids Market

by
Natália Santana Carvalho
1,
Luiggi Cavalcanti Pessôa
1,2,*,
Kricelle Mosquera Deamici
3,
Jania Betânia Alves da Silva
1,4,
Fernanda Aleluia de Souza Parga
5,
Carolina Oliveira de Souza
6,
Pedro Paulo Lordelo Guimarães Tavares
6 and
Denilson de Jesus Assis
1,7,*
1
Graduate Program in Chemical Engineering (PPEQ), Polytechnic School, Federal University of Bahia, Salvador 40210-630, Brazil
2
Senai Cimatec University Center, Environment Department, Salvador 41650-010, Brazil
3
GreenCoLab—Associação Oceano Verde, Algarve University, 8005-139 Faro, Portugal
4
Center of Science and Technology, Mechanical Engineering Collegiate, Federal University of Recôncavo of Bahia, Cruz das Almas 44380-000, Brazil
5
Undergraduate Program in Chemical Engineering, Salvador University, Salvador 41820-021, Brazil
6
Graduate Program in Food Science (PGALI), College of Pharmacy, Federal University of Bahia, Salvador 40170-115, Brazil
7
School of Exact and Technological Sciences, Salvador University, Salvador 41820-021, Brazil
*
Authors to whom correspondence should be addressed.
BioTech 2022, 11(3), 37; https://doi.org/10.3390/biotech11030037
Submission received: 8 July 2022 / Revised: 15 August 2022 / Accepted: 18 August 2022 / Published: 24 August 2022

Abstract

Microalgae lipids offer numerous advantages over those of plants and animals, enabling the sustainable commercialization of high value-added products in different markets. Although these markets are in a vertiginous annual expansion, technological life cycle modeling is a tool that has been rarely used for microalgae. Life cycle modeling is capable of assisting with decision-making based on data and is considered as a versatile model, usable in multiple software analyzing and diagnostic tasks. Modeling technological trends makes it possible to categorize the development level of the market and predict phase changes, reducing uncertainties and increasing investments. This study aims to fill this gap by performing a global analysis and modeling of microalgal lipid innovations. The Espacenet and Orbit platforms were used by crossing the keywords “microalgae”, “lipid*”, and the IPC code C12 (biochemistry and microbiology). Different sigmoid growth models were used in the present study. A successive repetition of the Chlorella genus category was found in the keyword clusters regarding extraction and separation of lipids. The life cycle S curve indicates a market starting at the maturity phase, where the BiDoseResp model stands out. The main countries and institutions at the technological forefront are shown, as well as potential technological domains for opening new markets.
Keywords: technological prospecting; patents; mathematical models technological prospecting; patents; mathematical models
Graphical Abstract

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MDPI and ACS Style

Carvalho, N.S.; Pessôa, L.C.; Deamici, K.M.; da Silva, J.B.A.; de Souza Parga, F.A.; de Souza, C.O.; Tavares, P.P.L.G.; de Jesus Assis, D. Analysis and Modeling of Innovations in the Global Microalgae Lipids Market. BioTech 2022, 11, 37. https://doi.org/10.3390/biotech11030037

AMA Style

Carvalho NS, Pessôa LC, Deamici KM, da Silva JBA, de Souza Parga FA, de Souza CO, Tavares PPLG, de Jesus Assis D. Analysis and Modeling of Innovations in the Global Microalgae Lipids Market. BioTech. 2022; 11(3):37. https://doi.org/10.3390/biotech11030037

Chicago/Turabian Style

Carvalho, Natália Santana, Luiggi Cavalcanti Pessôa, Kricelle Mosquera Deamici, Jania Betânia Alves da Silva, Fernanda Aleluia de Souza Parga, Carolina Oliveira de Souza, Pedro Paulo Lordelo Guimarães Tavares, and Denilson de Jesus Assis. 2022. "Analysis and Modeling of Innovations in the Global Microalgae Lipids Market" BioTech 11, no. 3: 37. https://doi.org/10.3390/biotech11030037

APA Style

Carvalho, N. S., Pessôa, L. C., Deamici, K. M., da Silva, J. B. A., de Souza Parga, F. A., de Souza, C. O., Tavares, P. P. L. G., & de Jesus Assis, D. (2022). Analysis and Modeling of Innovations in the Global Microalgae Lipids Market. BioTech, 11(3), 37. https://doi.org/10.3390/biotech11030037

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