Evidence map›Paper›PMID 36134911›Full record

ReviewBiotech (Basel (Switzerland))2022

Analysis and Modeling of Innovations in the Global Microalgae Lipids Market.

Natália Santana Carvalho, 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, Denilson de Jesus Assis

Abstract readReview
In one paragraph

Review in Biotech (Basel (Switzerland)), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Natália Santana CarvalhoGraduate Program in Chemical Engineering (PPEQ), Polytechnic School, Federal University of Bahia, Salvador 40210-630, Brazil.ORCID 0000-0002-2390-9319
Luiggi Cavalcanti PessôaGraduate Program in Chemical Engineering (PPEQ), Polytechnic School, Federal University of Bahia, Salvador 40210-630, Brazil.
Kricelle Mosquera DeamiciGreenCoLab-Associação Oceano Verde, Algarve University, 8005-139 Faro, Portugal.
Jania Betânia Alves da SilvaGraduate Program in Chemical Engineering (PPEQ), Polytechnic School, Federal University of Bahia, Salvador 40210-630, Brazil.
Fernanda Aleluia de Souza PargaUndergraduate Program in Chemical Engineering, Salvador University, Salvador 41820-021, Brazil.
Carolina Oliveira de SouzaGraduate Program in Food Science (PGALI), College of Pharmacy, Federal University of Bahia, Salvador 40170-115, Brazil.ORCID 0000-0002-8028-5418
Pedro Paulo Lordelo Guimarães TavaresGraduate Program in Food Science (PGALI), College of Pharmacy, Federal University of Bahia, Salvador 40170-115, Brazil.ORCID 0000-0002-3621-9640
Denilson de Jesus AssisGraduate Program in Chemical Engineering (PPEQ), Polytechnic School, Federal University of Bahia, Salvador 40210-630, Brazil.ORCID 0000-0002-9226-4155

Funding

Fundação de Amparo à Pesquisa do Estado da Bahia BOL0642/2020
6 · The paper itself

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.

Indexed as

mathematical modelspatentstechnological prospecting

Identifiers

PMID36134911
PMCPMC9496988

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.