Analysis and Modeling of Innovations in the Global Microalgae Lipids Market

• Published in: Biotech (Basel) Vol. 11; no. 3; p. 37
• Main Authors: Carvalho, Natália Santana, Pessôa, Luiggi Cavalcanti, Deamici, Kricelle Mosquera, da Silva, Jania Betânia Alves, de Souza Parga, Fernanda Aleluia, de Souza, Carolina Oliveira, Tavares, Pedro Paulo Lordelo Guimarães, de Jesus Assis, Denilson
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 24.08.2022; MDPI
• Subjects: Algae; Aquatic microorganisms; Biodiesel fuels; Biofuels; Classification; Codes; Collaboration; Costs; Decision making; Growth models; Keywords; Life cycles; Lipids; mathematical models; Microorganisms; Mutation; R&D; Research & development; Review; Software; Technological change; technological prospecting; Technology; Trends
• ISSN: 2673-6284; 2673-6284
• DOI: 10.3390/biotech11030037

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.