ReviewMolecules (Basel, Switzerland)2026
Amazonian Nanobioeconomy 5.0: A Critical Integrative Review and Conceptual Framework Toward a Just Planetary Transition.
Luísa Schuh, Bruno Figueiredo de Souza, Thais Valim, Thalita do Espírito Santo Alves, Brenda Martins Dos Santos, Pedro Henrique Almeida de Jesus da Rocha, Leonardo Froes de Azevedo Chang, Danielly Stéfany Barbosa Dias de Castro, João Pedro Miranda Caetano, Lohara Silva de Lima Barboza and 8 more
Abstract readReview
In one paragraphReview in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
18 authors.
Luísa SchuhLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0009-0000-2009-2414 Bruno Figueiredo de SouzaLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.
Thais ValimPathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ 86001, USA.
Thalita do Espírito Santo AlvesLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0009-0009-6851-9582 Danielly Stéfany Barbosa Dias de CastroLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0009-0008-9654-0373 João Pedro Miranda CaetanoLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0009-0008-3256-9986 Lohara Silva de Lima BarbozaLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.
Giovanna Amaral RodriguesLaboratory of Microscopy and Microanalysis, Department of Cell Biology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0000-0003-1838-1983 Jéssica de França SousaLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.
Ramon Tiago Albuquerque AndradeLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0009-0004-0984-4426 Priscila Borges de Faria ArquelauGraduate Program in Health Sciences and Technologies, Faculty of Health Sciences and Technologies, University of Brasilia, Brasília 72220-275, DF, Brazil.ORCID 0000-0001-6213-1370 Lilian Cristina Dos SantosLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.
Karen Rapp Py-DanielLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.
Victor Carlos MelloLaboratory of Nanobiotechnology, Department of Genetics and Morphology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0000-0003-4129-1839 Sônia Nair BáoLaboratory of Microscopy and Microanalysis, Department of Cell Biology, Institute of Biological Sciences, University of Brasília, Brasília 70910-900, DF, Brazil.ORCID 0000-0002-9873-3098 Funding
Brazilian Federal Agency for Support and Evaluation of Graduate Education 0001Foundation for Research Support of the Federal District 00193 - 00000165/2023-20Foundation for Research Support of the Federal District 00193.00001066/2021-1Foundation for Research Support of the Federal District 0193.00002231/2022-15Funding Authority for Studies and Projects 01.08.0457.00National Council for Scientific and Technological Development 403033/2023-3
6 · The paper itselfAbstract
The transition from predatory extractive economies to high-technology systems centered on the standing forest paradigm represents a defining sustainability challenge for the Global South. This integrative review establishes a novel socio-technical and technological architecture, conceptualized as Amazonian Nanobioeconomy 5.0, by critically synthesizing the convergence of the Amazonian lipid pharmacopeia, Natural Deep Eutectic Solvents (NaDESs), and Artificial Intelligence/Machine Learning (AI/ML) optimization. We critically evaluate how data-driven green nanomanufacturing can overcome the empirical trial-and-error bottlenecks and severe chemical variability inherent to native biodiversity oils and butters. The integration of predictive algorithms-such as tree-based models and Bayesian optimization-with eco-friendly extraction media enables the rational design of solid lipid nanoparticles (SLNs) and Nanostructured Lipid Carriers (NLCs) while accelerating their translation across the biotechnological "Valley of Death". Under the Safe-and-Sustainable-by-Design (SSbD) framework, this convergence offers a composition-dependent green alternative to harmful petrochemical volatile organic compounds, fosters circular biorefineries, and minimizes the global environmental footprint of advanced nanopharmaceuticals and cosmeceuticals. Finally, we articulate how this digital and green deep-tech infrastructure must be non-negotiably tethered to strict territorial governance, fair benefit-sharing, and epistemic justice to prevent data colonialism and foster a truly just planetary transition.
Indexed as
BiotechnologyNanotechnologyArtificial IntelligenceDeep Eutectic SolventsGreen Chemistry TechnologyLipidsMachine LearningNanoparticlesNanostructuresDeep Eutectic SolventsLipidsamazonian bioeconomyartificial intelligenceBrazilconservation of natural resourcesgreen chemistry technologyIndustry 5.0lipid nanocarrierslipids/chemistrynanoparticlesnatural deep eutectic solvents (NaDES)Safe-and-Sustainable-by-Designtraditional ecological knowledge
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