WILSON APARECIDO PAREJO CALVO

WILSON APARECIDO PAREJO CALVO

(Fonte: Lattes)

Abstract

Possui graduação em Engenharia de Materiais Metálicos e Cerâmicos, pelo Departamento de Engenharia de Materiais da Universidade Federal de São Carlos - UFSCar (1987), Mestrado (1997) e Doutorado (2005) em Tecnologia Nuclear - Aplicações, pela Universidade de São Paulo - USP. Gerente do Centro de Tecnologia das Radiações (2001-2013) e Diretor de Administração e Infraestrutura (2014-2016) do Instituto de Pesquisas Energéticas e Nucleares - IPEN, e professor na World Nuclear University School on Radiation Technologies (2012 WNU-RT School). Tecnologista Sênior, professor e orientador de pós-graduação na área de Tecnologia Nuclear no IPEN/USP, coordenador de projetos da Agência Internacional de Energia Atômica - AIEA e Superintendente do IPEN (2017-2020), da Comissão Nacional de Energia Nuclear - CNEN. Membro do Conselho Curador da ABDAN, do Conselho Consultivo da ABENDI e da International Irradiation Association (iiA). Vice-Presidente do Conselho de Gestão da Incubadora de Base Tecnológica de São Paulo USP/IPEN-Cietec, tem experiência na área de Engenharia Nuclear, em Aplicações de Técnicas Nucleares na Indústria, Saúde, Agricultura e no Meio Ambiente, com ênfase em tecnologia de radioisótopos (radiotraçadores e fontes radioativas seladas) e das radiações ionizantes (feixe de elétrons, raios X e gama). Agraciado com o prêmio do Mérito Nuclear da ABDAN (2020) é Bolsista do CNPq - Produtividade em Desenvolvimento Tecnológico e Extensão Inovadora 2. (Texto extraído do Currículo Lattes em 27 dez. 2021)

Full item page

Search Results

Now showing 1 - 10 of 118

Application of the Convolutional Neural Network (CNN) in image inspection of parts used in nuclear and radioactive installations
2024 - TUKOZAKI, K.M.; SHMID, F.P.; SOMESSARI, S.L.; GENEZINI, F.A.; CALVO, W.A.P.
Performance of the SEM (Scanning Electron Microscope), Raman Spectroscopy, and Industrial Computed Tomography used for characterization of the vesicular volcanic rock as applied in Carbon Capture and Storage (CCS)
2024 - SANTOS, R.S.; VELO, A.F.; CAVALLARO, F.A.; GARCIA, R.H.L.; MESQUITA, C.H.; CALVO, W.A.P.
Development of an epoxy/carbon fiber composite for radiation attenuation with a dispersion of micro particles of bismuth trioxide (Bi2O3)
2024 - MUNHOZ, PEDRO M.; NASCIMENTO, FERNANDO C.; RODRIGUES JUNIOR, ORLANDO; POTIENS, MARIA da P.A.; CALVO, WILSON A.P.
Toxicity removal of pharmaceuticals, fluoxetine and caffeine, by electron beam irradiation
2023 - BOIANI, NATHALIA F.; REDIGOLO, MARCELO M.; CALVO, WILSON A.; TOMINAGA, FLAVIO K.; BORRELY, SUELI I.
The wide use of pharmaceuticals and water scarcity are associated to increasing levels of pharmaceutical compounds discharged into water and wastewater worldwide, affecting relevant ecological services, including biodegradation. However, water pollution has also encouraged studies applying advanced oxidative processes (AOP) in organic pollutant degradation. Among AOPs, ionizing radiation has been proven an effective technology for organic compound removal from waters and wastewater. The objective of this study was to assess Electron Beam (EB) irradiation in the degradation of caffeine and fluoxetine and their binary mixture in pure aqueous solutions. The degradation of these pharmaceuticals was evaluated by GC/MS analyses. The degradation dose response was higher for the caffeine and fluoxetine mixture (1:1) at 2.5 kGy. This dose led to decreased toxicity towards Daphnia similis for both the fluoxetine + caffeine mixture and the isolated fluoxetine solution, but not for the isolated caffeine. On the other hand, Vibrio fischeri exposure for 15 min indicated toxicity removal for the entire pharmaceuticals sample set and radiation dose. Fluoxetine was the most toxic pharmaceutical, followed by the binary mixture. Thus, we suggest ecopharmacovigilance, where attention should be paid to the increasing amount of pharmaceuticals, caffeine and fluoxetine detected in water.
Regulatory requirements and economic feasibility for developing a mobile SPECT/CT unit with radiopharmacy facilities
2023 - SA, MARCELO C. de; CALVO, WILSON P.; SOMESSARI, SAMIR L.
Brazil has been facing great challenges related to the public health care system, not being able to manage the high national demand for diagnostic imaging tests, therefore avoiding the possibility of an early diagnosis for oncological and cardiovascular diseases. An important medical specialty for providing an early and accurate diagnosis is Nuclear Medicine. Early diagnosis is crucial for health professionals to make decisions that enable more effective treatments and improve the chances of cure. Due to the irreversible damages caused to patient’s health resulting of delay in diagnosis, this research project carried out at Nuclear and Energy Research Institute (IPEN/CNEN), together private companies and associated institutions, focus on regulatory requirements and economic feasibility for developing a mobile unit with hybrid Single Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) equipment and radiopharmaceuticals facilities for radiolabeling reagents kits with technetium-99m. A mobile SPECT/CT unit with adequate radiopharmacy facilities will be an excellent innovative solution to support Brazilian public hospitals to address the demand for diagnostic imaging tests. This mobile unit could provide health care in isolated areas or even big cities where there are shortage of health resources and high mortality rate for cancer and heart disease.
Production and application of 177Lu-PSMA and 225Ac-PSMA in the sustainable innovation model through Balanced Scorecard (BSC)
2023 - SANTOS, KATIA C.; BERNARDES, EMERSON S.; CALVO, WILSON P.
177Lu-PSMA and 225Ac-PSMA appear in the theranostic concept, with astonishing results in prostate cancer patients, who did not respond to conventional therapies. In Europe, these treatments are used successfully. However, in Brazil, 30% of patients do not respond well to new radiopharmaceuticals, requiring broader studies. The "Multicenter program using PSMA radioligands for diagnosis and therapy of patients with prostate cancer", in which this research project is inserted, in partnership among the Nuclear and Energy Research Institute (IPEN-CNEN), a private company and associated institutions, aims to expand the therapeutic alternatives for patients with cancer unresponsive to the treatments available in the public health network in the State of São Paulo. IPEN-CNEN will produce the radiopharmaceuticals that will be distributed to Public Hospitals responsible for the selection, treatment and follow-up of patients with metastatic castrationresistant prostate cancer (mCPRC), and for the genetic and molecular characterization of patients unresponsive to treatment. The present research will study the technical and economic feasibility in the production and application of these radiopharmaceuticals, with clinical studies in patients with mCPRC, applying the Balanced Scorecard (BSC) management tool, measuring its performance by indicators aiming at a strategic and efficient management, with the possibility of theirs marketing.
Application of Data Science and Artificial Intelligence in the productive efficiency of radiopharmaceuticals
2023 - DAL BELO, FELIPE; BERNARDES, EMERSON; NASCIMENTO, FERNANDO C.; CALVO, WILSON A.P.
The present research addresses the application of Data Science and Artificial Intelligence in the production processes of injectable radiopharmaceuticals in the Radiopharmacy Center, at IPENCNEN. Center of greatest relevance and production scale in Latin America and one of the main international ones, which is currently undergoing technological adaptation of its production processes. Given the economic and therapeutic importance of the Nuclear Medicine market in global health systems, valued at USD 5,351.90 million in 2017, it is estimated that it will reach USD 9,981.30 million by 2026, growing at an annual rate. Average of 7.2% over the forecast period. As a main objective, the study proposes to develop and obtain an innovative operating model applying automation, Artificial Intelligence resources and Data Science techniques (analytics), to make the routine of processes and operational indicators safer, predictable, effective and efficient. This Doctoral study will provide the scientific community of medicine and nuclear technology with the benefits and returns of the application of artificial intelligence and data science in critical regulatory, diagnostic and therapeutic activities. And the results will lead to the Radiopharmacy Center, modernization, innovation and a differential in the practices of its core activities. Therefore, it is expected to implement through these technologies the improvement in the critical stages of its production processes, combined with the digital trends of efficiency and good manufacturing practices.
Development of an acrylic emulsion paint added with cellulosic dispersion treated with an electron beam accelerator
2023 - NASCIMENTO, F.C.; MUNHOZ, P.M.; NASCIMENTO, L.F.N.; CALVO, W.A.P.
Paint is a prevalent type of surface of coating well known to most people. It is an easy-to-apply product, with excellent physical and chemical resistance and a wide range of applications. The function of a paint is to protect and beautify amongst other properties. Paints are formed using five components: resin, pigments, fillers, solvents and additives. This work deals with a specific type of paint, composed of a water-based acrylic emulsion, whose film formation is by coalescence and used to coat walls and other surfaces. The aim of this innovative research was to evaluate the effect of the addition of cellulosic dispersion of waste paper tissues treated by electron beam irradiation to an acrylic emulsion-based paint. The methodology used was a case study carried out at the Nuclear and Energy Research Institute that consisted of adding aqueous dispersions of cellulosic wipes with mass concentrations varying from 0.1% to 10% in deionized water, and treated by electron beam processing with absorbed doses from 5 kGy to 50 kGy. The results obtained followed the parameters of the Abrafati Sectorial Quality Program. The main sample parameters analyzed were specific density, which reached an average of 1.35 g/cm3 ; and covering power, whose value of 93.55% was above the specified limit (minimum of 90%). Among other results obtained, improvements in appearance, applicability and functionality were significant. It was concluded that this research constitutes an incremental improvement to the acrylic emulsion paints segment, and environmental sustainability, through the reuse of cellulosic tissue residues.
Electron beam processing to improve biodegradable polymers and for industrial wastewater treatment and recycling
2022 - CALVO, W.A.P.; MUNHOZ, P.M.; SOMESSARI, S.L.; DUARTE, C.L.; SPRENGER, F.E.; FEHER, A.; LAINETTI, F.F.; GASPAR, R.R.; NASCIMENTO, F.C.; SILVA, L.G.A.; HARADA, J.; BRAGA, A.; RODRIGUES, M.; SAMPA, M.H.O.
Radiation technology has been used to control environmental pollution. The aim of these studies was to apply the electron beam radiation technology for controlling plastic pollution and environmental protection.
Development and construction of a mobile electron beam accelerator to treat and recycle industrial effluents in Brazil
2022 - CALVO, WILSON A.P.; SOMESSARI, SAMIR L.; DUARTE, CELINA L.; SPRENGER, FRANCISCO E.; FEHER, ANSELMO; LAINETTI, FABIANA de F.; GASPER, RENATO R.; BRAGA, ALCIDES; RODRIGUES, MARCOS; SAMPA, MARIA H.O.
In the world, there is a growing increase in the demand for water for human consumption, as well as the prioritization of the use of available water resources for public supply. The treatment of wastewater and industrial effluents by electron beam irradiation is a promising technique, however, not very widespread in Brazilian territory. The design and construction of a mobile unit by the Nuclear and Energy Research Institute (IPEN/CNEN), containing an electron beam accelerator of 0.7 MeV, 20 kW and 640 mm window is innovative to demonstrate the effects and positive results of this technology. The mobile unit will have as one of its main advantages the possibility of treating effluents in the place where the source is located, eliminating costs and bureaucratic problems associated with the transportation of waste, besides publicizing the technology in several places in the country. To implement the project, IPEN/CNEN has been consolidating partnerships with national and international companies. The resources for the development of the unit have been supplied by the Brazilian Innovation Agency (FINEP) and International Atomic Energy Agency, financing the “IAEA TC Project BRA1035 - Mobile electron beam accelerator to treat and recycle industrial effluents”. The Institute has associated with a specialized company (Truckvan Industry) in an innovation project for the unit design and development. Several meetings have been realized with the company and the International Atomic Energy Agency experts, aiming the compatibility of the design and the exchange of information necessary for the project development. The idealized project divides the cart in the following modules: a) control room and laboratory for technical and scientific dissemination of the technology; b) industrial electron beam accelerator, hydraulic units, ventilation system, cooler and bunker with irradiation device; and c) transformer and power source supply. A 3D model study of the control room and laboratory space was done to facilitate understanding the internal distribution of the laboratory analysis equipment (Gas Chromatography Mass Spectrometry, Total Organic Carbon and UV-Visible Spectroscopy). The irradiation system with electron accelerators allows treating different types of effluents. Depending on the effluent, the amount of ionizing radiation energy required for treatment may vary, as well as the amount of treated effluent per day. For the construction of the mobile unit, the estimated cost is about US$ 1.5 Million. The type of treated effluent, the treatment cost per m3/day and other information regarding the cost of maintenance and operation of the mobile unit are obtained from the Business Plan of the Mobile Unit.