Gustavo Adolfo Marcelino de Almeida Nunes

Mr. Gustavo Adolfo Marcelino de Almeida Nunes

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 March 2023 in BioMedical Engineering OnLine
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MSMayla dos S. Silva
Mayla dos S. Silva
Joabe Lima AraújoJoabe Lima Araújo
Joabe Lima Araújo
GNGustavo Adolfo Marcelino de Almeida Nunes
Gustavo Adolfo Marcelino de Almeida Nunes
MRMário Fabrício Fleury Rosa
Mário Fabrício Fleury Rosa
GLGlécia Virgolino da Silva Luz
Glécia Virgolino da Silva Luz
APAntônio Piratelli-Filho
Antônio Piratelli-Filho
Background: Infusion Pumps (IP) are medical devices that were developed in the 1960s and generate fluid flow at pressures higher than that of normal blood pressure. Various hospital sectors make use of them, and they have become indispensable in therapies requiring continuity and precision in the administration of medication and/or food. As they are classified Class III (high risk) equipment, their maintenance is crucial for proper performance of the device, as well as patient and operator safety. The principal consideration of the pump is the volume infused, and the device demands great attention to detail when being calibrated. A lack of necessary care with this equipment can lead to uncertainty in volume and precision during the administration of substances. Because of this, it is essential to evaluate its reliability, to prevent possible failures at time of execution. This control aims at the quality of the intended infusion result, becoming an indication of quality. Methods: This systematic review summarizes studies done over the last 10 years (2011 to December 2021) that address the reliability and accuracy of hospital infusion pumps, in order to identify planning of maintenance and/or other techniques used in management of the equipment. The Prisma method was applied and the databases utilized were Embase, MEDLINE/Pubmed, Web of Science, Scopus, IEEE Xplore, and Science Direct. In addition, similar reviews were studied in Prospero and the Cochrane Library. For data analysis, softwares such as Mendeley, Excel, RStudio, and VOSviewer were used, and Robvis helped in plotting risk of bias results for studies performed with Cochrane tools. Results: The six databases selected produced 824 studies. After applying eligibility criteria (inclusion and exclusion), removing duplicates, and applying filters 1 and 2, 15 studies were included in the present review. It was found that the most relevant sources came from the Institute of Electrical and Electronics Engineers (IEEE) and that the most relevant keywords revolved around the terms (“device failure”, “infusion pumps”, “adverse effects”, “complications”, etc.). These results made clear that there remains substantial room for improvement as it relates to the study of accuracy and reliability of infusion. Conclusions: We verified that the reliability and precision analysis of hospital infusion pumps need to be performed in a more detailed and consistent way. New developments, considering the model and IP specification, are intended, clearly explaining the adopted methodology.

5 February 2016 in Research on Biomedical Engineering
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GNGustavo Adolfo Marcelino de Almeida Nunes
Gustavo Adolfo Marcelino de Almeida Nunes
MRMaria Do Carmo dos Reis
Maria Do Carmo dos Reis
MRMário Fabrício Fleury Rosa
Mário Fabrício Fleury Rosa
LPLuciana Roberta Tenório Peixoto
Luciana Roberta Tenório Peixoto
ARAdson Ferreira da Rocha
Adson Ferreira da Rocha
Suelia de Siqueira Rodrigues Fleury RosaSuelia de Siqueira Rodrigues Fleury Rosa
Suelia de Siqueira Rodrigues Fleury Rosa
Key words: Diabetes; Tissue formation; Inducer system; Diabetic foot; Latex; LED

11 August 2025 in Biomimetics
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GNGustavo Adolfo Marcelino de Almeida Nunes
Gustavo Adolfo Marcelino de Almeida Nunes
ASAna Karoline Almeida Da Silva
Ana Karoline Almeida Da Silva
RFRafael Mendes Faria
Rafael Mendes Faria
KSKleriston Silva Santos
Kleriston Silva Santos
AAArthur da Costa Aguiar
Arthur da Costa Aguiar
Suelia de Siqueira Rodrigues Fleury RosaSuelia de Siqueira Rodrigues Fleury Rosa
Suelia de Siqueira Rodrigues Fleury Rosa
Organ-on-a-chip (OoC) devices simulate human organs within a microenvironment, potentially surpassing traditional preclinical methods and paving the way for innovative treatments. A thorough understanding of the current state of OoC design enables the development of more precise and relevant models that replicate not only the structure of organs but also their intricate cellular interactions and responses to external stimuli. This knowledge facilitates the optimization of biomimetic materials and allows for the real-time simulation of physiological microenvironments. By keeping abreast of new microfabrication techniques, we can explore opportunities to create customized and highly functional OoCs. Objective: To provide a comprehensive overview of microphysiological platform designs. Methods: This systematic review was registered in PROSPERO under the number CRD42022352569. We adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The eligibility criteria included studies utilizing human tissue, either primary or secondary lineage cells. Results: A total of 9.790 papers were retrieved from the Scopus, Embase, IEEE and Web of Science databases. After removing duplicates and applying a 10-year publication filter, 3.150 articles were screened by title and Full-text analyses were then performed. Eighteen studies met the eligibility criteria and were included in this systematic review. In this review, we examine the principles of OoC design, focusing on structure, dimensions, cell culturing options and manufacturing techniques. We also examine recent advances and future prospects in the field. Conclusions: Microphysiological devices in health research can facilitate drug discovery and improve our understanding of human physiology. They contribute to more ethical research by reducing the number of animals used in experiments.

30 January 2025 in Biomimetics
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ASAna Karoline Almeida Da Silva
Ana Karoline Almeida Da Silva
GNGustavo Adolfo Marcelino de Almeida Nunes
Gustavo Adolfo Marcelino de Almeida Nunes
RFRafael Mendes Faria
Rafael Mendes Faria
AFAna Luiza Favilla
Ana Luiza Favilla
JDJéssica Dornelas
Jéssica Dornelas
Suelia de Siqueira Rodrigues Fleury RosaSuelia de Siqueira Rodrigues Fleury Rosa
Suelia de Siqueira Rodrigues Fleury Rosa
Biomaterials interact with biological systems, influencing their responses. Different types of polymers—both natural and synthetic—are widely used in biomedical engineering, among a plethora of healthcare applications, to promote tissue regeneration. The natural rubber latex extracted from Hevea brasiliensis is a biopolymer that whose biocompatibility makes it a valuable study object. Its great regenerative properties are largely associated with the fraction FrHB1, which has demonstrated angiogenic and wound-healing potential by inducing blood vessel formation, collagen synthesis, and fibroblast migration—crucial factors for tissue repair. This study aimed to develop scalable methods for extracting and purifying the F1 protein fraction from industrialized natural latex for biomedical applications. We tested two types of industrial latex, bi-centrifuged and pre-vulcanized latex as well as 60% centrifuged natural latex to determine the most effective composition used in subsequent extractions and fractionation steps. Then, we isolated FrHB1 from the pre-vulcanized latex using selective precipitation, ultrafiltration, and affinity chromatography. The yield of the first batch of this serum was 40.62% with protein concentration of 1.52 ± 0.06 mg/mL. The second batch had a yield of 49.74%; however, due to results lying outside the analytical curve, its protein concentration could not be calculated. The yield of the third batch was 57.19%, and its protein concentration was 1.8477 ± 0.033 mg/mL. This approach facilitates large-scale therapeutic applications utilizing a commercially viable and accessible resource. Moreover, these findings highlight industrialized natural latex as a sustainable source of bioactive molecules, contributing to advancements in regenerative medicine and tissue engineering.

19 February 2025 in Bioengineering
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ASAna Karoline Almeida Da Silva
Ana Karoline Almeida Da Silva
GNGustavo Adolfo Marcelino de Almeida Nunes
Gustavo Adolfo Marcelino de Almeida Nunes
RFRafael Mendes Faria
Rafael Mendes Faria
MRMário Fabrício Fleury Rosa
Mário Fabrício Fleury Rosa
LCLindemberg Barreto Mota da Costa
Lindemberg Barreto Mota da Costa
Suelia de Siqueira Rodrigues Fleury RosaSuelia de Siqueira Rodrigues Fleury Rosa
Suelia de Siqueira Rodrigues Fleury Rosa
This study proposes an innovative mathematical model for assessing microcirculation in patients with diabetic ulcers, using the ankle–brachial index (ABI). The methodology combines Bond Graph (BG) modeling and Particle Swarm Optimization (PSO), enabling a detailed analysis of hemodynamic patterns in a pilot sample of three patients. The results revealed a correlation between ulcer size and reduced ABI values, suggesting that deficits in microcirculation directly impact the severity of lesions. Furthermore, despite variations in ABI values and arterial pressures, all patients exhibited high capillary resistance, indicating difficulties in microcirculatory blood flow. The PSO-optimized parameters for the capillary equivalent circuit were found to be R1=89.784Ω, R2=426.55Ω, L=27.506H, and C=0.00040675F, which confirms the presence of high vascular resistance and reduced compliance in the microvascular system of patients with diabetic foot ulcers. This quantitative analysis, made possible through mathematical modeling, is crucial for detecting subtle changes in microcirculatory dynamics, which may not be easily identified through conventional pressure measurements alone. The increased capillary resistance observed may serve as a key indicator of vascular impairment, potentially guiding early intervention strategies and optimizing diabetic ulcer treatment. We acknowledge that the sample size of three patients represents a limitation of the study, but this number was intentionally chosen to allow for a detailed and controlled analysis of the variables involved. Although the findings are promising, additional experimental validations are necessary to confirm the clinical applicability of the model in a larger patient sample, thus solidifying its relevance in clinical practice.